Alternatives to Pushary

HOL Guard is a security layer designed for AI agents that operates on a local-first basis, monitoring the actions of an AI assistant and preemptively preventing potentially harmful activities. It functions as an intermediary between the agent and the computer, assessing tool calls and local resources for various threats, including the risk of secret and credential leaks, harmful commands, actions driven by prompt injection, and the use of compromised or altered packages, as well as risky configurations and unsafe plugins, skills, hooks, and settings. Threats that are identified can be automatically blocked, while uncertain actions are temporarily halted to seek user consent, ensuring that individuals maintain oversight. Operating entirely on the developer’s local machine, Guard does not require an internet connection and refrains from uploading any files, prompts, or sensitive information. Local evaluations are typically completed in less than 50 milliseconds, and the implementation of Guard does not necessitate modifications to current code or workflows. It is compatible with various coding agents including Claude Code, Cursor, Codex, Gemini CLI, OpenCode, Hermes, and OpenClaw, providing custom integrations that analyze actions prior to their execution. Additionally, this enhances the overall safety and reliability of AI interactions, fostering greater trust in automated processes.

JetBrains Junie is an innovative AI coding assistant that works inside many JetBrains IDEs to streamline programming efforts and boost efficiency. This agent leverages advanced AI to help developers write, test, and inspect code without leaving their familiar development environment. Junie offers both code execution and interactive collaboration, allowing programmers to switch between automated code writing and brainstorming sessions for features and improvements. By deeply understanding the codebase, Junie identifies the best ways to tackle tasks and ensures all changes meet quality standards through syntax and semantic checks. It also runs tests to minimize errors and keep the project healthy, freeing developers from routine tasks. Many developers have successfully built complex applications and games using Junie, highlighting its flexibility across different languages and frameworks. The AI adapts to each task’s complexity and workflow, making coding less tedious and more focused on creativity. Whether you are building a simple web app or a complex game, Junie offers smart support throughout the development cycle.

port22 allows you to carry your coding agents with you, making it easy to run the agent from your iPhone while overseeing its actions through a live transcript. You can interact with Claude Code, Codex, or OpenCode from virtually anywhere, approving actions as the agent operates. Instead of initiating a new session, it seamlessly connects to the existing one running in your terminal, ensuring you can maintain continuity with your work from your desk. As the agent thinks, edits, and executes commands, every token is streamed directly to your phone, and you receive push notifications when it requires your input or has completed a task. The current status of the session is readily accessible via the Dynamic Island and lock screen, enabling you to monitor every ongoing process without the hassle of opening the app repeatedly. Additionally, port22 functions over your local network while at your desk, and when you're on the go, it effortlessly transitions to a secure, end-to-end encrypted relay, allowing you to keep the same session active over cellular data as well. This innovative approach ensures that your workflow remains uninterrupted, regardless of your location.

Preloop serves as an open-source control plane designed for AI agents that perform tangible actions. It integrates a multi-layered security approach featuring an MCP firewall for managing tool access, an AI model gateway that ensures cost-effectiveness, safety, and accountability, along with policy-as-code that incorporates human oversight, all while providing runtime session visibility and audit trails—all within a self-hosted environment. Given the rapid capabilities of AI agents to deploy code, modify infrastructure, manage financial transactions, access production data, and incur model costs almost instantaneously, Preloop empowers teams to regulate agent activities, monitor expenditures, and determine which actions necessitate human consent. It is compatible with a variety of tools such as OpenClaw, Hermes, Claude Code, Codex CLI, Cursor, Gemini CLI, Windsurf, Cline, OpenCode, and any agents that adhere to MCP standards. Additionally, access rules can evaluate not only the tool names but also arguments and context, utilizing CEL expressions to establish detailed conditions. Furthermore, teams have the flexibility to initiate with observability features and progressively introduce approval and denial protocols without the need for SDKs or extensive modifications to existing applications, thus streamlining the implementation process. This comprehensive approach ensures that organizations remain in control of their AI agents' functionalities and impacts.

SuperBased serves as a local-first control hub for AI coding agents, enabling developers to monitor, manage, and optimize agent performance from a single binary installed on their personal computers. It seamlessly integrates with 40 coding tools by directly reading native session data, eliminating the need for proxies, SDK modifications, or complicated setups, and supports various agents including Claude Code, Codex, Cursor, GitHub Copilot, OpenCode, Gemini CLI, Kilo Code, Qwen Code, Aider, Devin, and others. The intuitive dashboard provides insights into token usage reported by providers, cache operations, expenses, session tracking, and forecasts for future messaging costs across tools that typically maintain isolated data. Developers can initiate over 20 CLI agents as terminal sessions, manage multiple repositories from a single interface, connect to an active agent, take control of the keyboard, and relinquish control when necessary. Additionally, model routing capabilities enable teams to effectively align tasks with the most suitable models, while egress gates allow for pre-execution command holds, giving users the power to halt or redirect actions that may be costly or pose risks. This comprehensive solution empowers developers to enhance their workflow and maintain better oversight over their coding agents.

Runx is a command-line and open-source runtime tool designed for the creation, discovery, and execution of governed skills tailored for AI agents. It allows developers to establish defined workflows, assign specific permissions and credentials, and execute skills on their own provider accounts locally. The system is capable of pausing runs for necessary approvals or inputs, and it retains a signed receipt that can be reviewed and validated. Skills can be sourced from a public registry and integrated with various compatible agents, including Claude Code, Cursor, and Codex. Additionally, an optional hosted service can facilitate managed OAuth connections, scoped grants, API-based run submissions and inspections, handling of approvals, and notarization of receipts. The command-line interface can function in both local and self-hosted setups. Runx is specifically designed for developers and platform teams focused on building and managing AI-agent workflows that require clear authority boundaries along with auditable execution processes. Furthermore, its capabilities support enhanced collaboration and security measures for the development of AI-driven solutions.

TODO for AI integrates both individuals and AI agents onto a unified task board. A team member can submit a request in straightforward language, designate it to either a colleague or an agent, and the agent processes it as a monitored job: it retrieves the relevant company context, selects appropriate tools, and returns a patch, draft, or run log for evaluation. The execution of tasks remains within the infrastructure under your control. A desktop daemon facilitates access to the terminal and the local disk for the agent; our Chrome extension operates within an already authenticated profile, ensuring credentials never exit the local machine. For tasks deemed risky, disposable cloud sandboxes are employed to maintain isolation. Common operations include modifying repositories, executing builds, running tests, deploying applications, responding to inbox messages, updating CRM systems, generating reports, and posting on social media. Each action clearly identifies the individual or agent responsible; any risky procedures are paused for user approval, and all processes can be interrupted if necessary. The service consolidates access to Claude, Gemini, GPT, and Grok under a single subscription with a shared spending limit. MCP servers further enhance the available tools. There is a complimentary plan available; premium options are priced at $20, $100, or $200 monthly, with team memberships starting at $30. Additionally, the platform aims to streamline collaboration between human users and AI agents for improved productivity.

Vibe Island serves as a macOS notch panel tailored for AI coding agents, efficiently managing sessions from 26 different agents such as Claude Code, Codex, Gemini CLI, Cursor, OpenCode, Kimi Code, DeepSeek, Copilot, and others in a unified interface. It offers real-time status updates, features per-agent brand colors, and allows users to instantly jump to the specific terminal tab, split pane, or VS Code window where each session is active, supporting over 20 terminals including tmux. Designed specifically for developers who operate multiple agents simultaneously, it also provides insights into the remaining usage quotas for subscriptions like Claude, Codex, Kimi, GLM, and DeepSeek, complete with live countdowns for resets. The platform enables users to grant permissions, respond to agent inquiries, and review plans without the need to exit the notch interface. Furthermore, it is compatible with both local sessions and remote servers accessed via SSH. Built using native Swift technology, it avoids the bulk of Electron and maintains a low memory footprint of under 100 MB RAM. Users can enjoy a free trial followed by a one-time purchase, eliminating the need for ongoing subscriptions, making it a cost-effective solution for developers. This approach ensures that developers can focus on their coding tasks without unnecessary interruptions or complications.

asqav is a cutting-edge platform focused on AI governance and security, aimed at ensuring that AI agents are always prepared for audits by offering real-time oversight, enforcement, and a reliable record of each action performed by the agents. It features a streamlined SDK that empowers developers to embed governance functionalities directly into their AI agents with minimal code, facilitating comprehensive monitoring throughout the entire lifecycle of AI activities. Additionally, the platform incorporates behavioral analysis to identify potential problems like drift, rate limits, and scope breaches, as well as sophisticated threat detection mechanisms that can recognize issues such as prompt injections, leaks of sensitive information, harmful outputs, and other dangers. Policy enforcement is achieved through customizable “policy gates,” which implement specific rules for each agent, conduct preflight assessments, and provide dynamic approvals before any actions are taken, thereby guaranteeing that agents function within established parameters. Furthermore, asqav enhances security with automated incident response features, allowing for the suspension, isolation, or escalation of agents deemed risky, all of which contribute to a robust framework for maintaining AI accountability and safety. In this way, asqav not only safeguards AI operations but also promotes trust in their deployment across various sectors.

SEAOTTER serves as a managed control plane specifically designed for the Hermes Agent on Google Cloud, providing isolated and consistently active agents without the need for VPS or SSH access. Users can easily create an agent via the dashboard, and within minutes, SEAOTTER sets up a dedicated namespace for each agent using a gVisor sandbox. The system allows for actions such as pausing, restarting, restoring, and reprovisioning through both API and user interface, all while offering integrated logs and metrics without the necessity of SSH access. Sensitive information is securely managed in a write-only section and stored within Google Secret Manager, with Hermes loading the secrets at startup, ensuring that users should refrain from sharing keys in chat. Upon signing up, users can connect using an organization-scoped so_ MCP key from Cursor, Claude, or Codex, while Hermes acts as the operational hub featuring various tools, memory management, and cron capabilities, all hosted in the us-central1 region. A trial period of seven days is available without requiring a credit card, allowing users to utilize one agent with limited resources (1 CPU / 4Gi / 8Gi). Following the trial, the cost for each always-on agent is $99 per month, with additional agents available for an extra $99 each, and custom solutions can be arranged through a consultation. This streamlined approach makes SEAOTTER an efficient choice for deploying agents in a managed cloud environment.

Flowra is a cloud-based platform that facilitates the development and execution of AI agents and automated workflows using natural language commands. Users can articulate a task, integrate various business applications via OAuth, and construct an agent capable of selecting tools during execution, following a predetermined workflow, or functioning as a coordinator that assigns tasks to subordinate agents. Executions can be initiated manually, scheduled, triggered by application events, through messaging platforms, a website widget, or via an API. Certain steps can include approval gates that allow for pauses, giving individuals the chance to review, modify, approve, or reject actions before they move forward. A comprehensive run ledger captures both inputs and outputs for later analysis. Additionally, users have the flexibility to create custom tools from API endpoints or concise scripts and can register MCP servers to enhance functionality. Flowra caters to a range of applications, including customer support, lead routing, generating email summaries, sending notifications, and managing issue triage. Delivered as a hosted service, it offers a user-friendly web dashboard, developer SDKs, and a command-line interface, making it accessible for various technical levels. This versatility ensures that businesses can streamline their processes effectively while leveraging AI capabilities to improve efficiency and productivity.

Prefactor is a cutting-edge platform designed for real-time assessment, monitoring, and reliability of production AI agents. It evaluates each execution instantly based on metrics such as quality, drift, cost, and data risk, seamlessly integrating these assessments into actionable responses to ensure that any failing agent is detected in real time rather than merely reflected on a post-execution dashboard. Teams are equipped to monitor every model invocation, tool usage, and decision-making process through structured traces and spans, allowing them to conduct evaluations using LLM-as-judge, technical assessments, qualitative analyses, and custom metrics at every phase of the process. Additionally, context can be incorporated from various sources, including GitHub, Linear, Jira, databases, and internal APIs, serving as ground truth for evaluations. When a run exceeds predefined limits, Prefactor is capable of blocking or throttling it, pausing sensitive actions, or routing the decision to a person for approval, modification, or rejection prior to execution, with meticulous logging of each choice made. The command-line interface allows for the discovery of agents without the need for platform migration, while the TypeScript and Python SDKs ensure seamless integration with LangChain, Claude, Vercel AI, OpenClaw, and LiveKit, enhancing the overall functionality and adaptability of the platform. This comprehensive approach not only optimizes agent performance but also fosters collaboration among teams by providing clear visibility and control over the AI processes.

FirstHelm serves as a centralized control plane for managing AI agents, acting as an intermediary between your collection of agents—such as n8n, OpenAI, Anthropic, CrewAI, LangChain, Microsoft Copilot Studio, or any custom agent through REST API—and the broader ecosystem. It not only regulates the permissions of each agent but also ensures accountability by logging every action and verifying it against established rules, including budget limits, prohibited actions, and visibility into costs and tokens per mission. Actions that are deemed costly, hazardous, or irreversible require human consent before proceeding, with any unattended approvals set to expire as a safeguard against inaction. Additionally, FirstHelm features live dashboards that allow users to guide agents in real time during missions, while also producing comprehensive audit trails and compliance documentation aligned with standards such as the EU AI Act, ISO 42001, SOC 2, UK GDPR, NIST AI RMF, and FCA requirements—encompassing 38 controls that are evaluated in real-time based on your own data. This innovative solution is available under a freemium model, is adaptable to various frameworks, and originates from the UK, underscoring its commitment to regulatory compliance and user empowerment. With its user-friendly interface and robust functionality, FirstHelm aims to enhance the management and oversight of AI-driven operations.

bb is an innovative, local-first IDE that allows for extensive customization while interacting with AI coding agents, enabling users to automate, control, and even enhance its functionalities. With just a single prompt, users can effortlessly modify nearly every aspect of the environment, including the addition of panels, CLI commands, skills, plugins, and workflows, which become instantly accessible to their agents. The platform’s various features, such as GitHub integration, agent memory, scheduled tasks, and remote access, are structured as plugins utilizing the same tools that users can employ. Furthermore, its command line interface supports integration with external applications, such as shell scripts, cron jobs, and messaging bots from Telegram, Signal, and Slack, which can initiate tasks that remain visible in the sidebar. bb accommodates several coding agents, like Claude Code, Codex, Cursor, Pi, OpenCode, Grok, omp, and Hermes, allowing users to delegate tasks to the most appropriate agent or enable one agent to create and oversee another in distinct threads. Additionally, all work is executed on the user's own device, providing the flexibility for tasks to persist and operate autonomously until the user decides to resume their interaction. This level of independence enhances productivity and allows for a seamless workflow experience.

Agentcard provides a secure method for AI agents to conduct online transactions by generating disposable virtual Visa cards tailored for agent operations. This innovative solution eliminates the need to share actual card information in conversations or require human intervention for checkout, as users can issue single-use cards that come with predetermined spending limits and automatically deactivate after a single authorized transaction. The system is built around user control, ensuring that every card and charge requires human approval, that real card information is never disclosed to agents, and that users receive alerts whenever an agent attempts to create a card or execute a payment. Furthermore, it seamlessly integrates with various platforms, including ChatGPT, Claude Desktop, Claude Code, OpenClaw, Cursor, and MCP-compatible agents through one-click setups, an MCP server, CLI tools, REST API, a Chrome Extension, and administrative tools for organizations. Users have the ability to create cards, monitor balances, review transaction histories, deactivate cards, and utilize these cards for online purchases while maintaining oversight and control throughout the process. This user-centric design ensures that the integrity and security of financial transactions remain uncompromised, allowing for a smooth and efficient interaction between agents and payment systems.

Junction Panel serves as a streamlined control surface that facilitates the management of AI coding agents from any location, enabling developers to remain engaged with their projects without the constraints of a traditional desktop setup. This tool allows users to monitor and interact with multiple local AI agents simultaneously, providing real-time updates and notifications when an agent requires input, all accessible from a variety of devices, including smartphones. With its integrated interface, users can effortlessly review code differences, monitor logs, merge pull requests, and execute approval steps with just one tap, ensuring that development activities progress smoothly even when they are not at their primary workstations. Moreover, it features essential capabilities such as tracking token usage costs per turn, browsing workspaces, creating custom commands, and maintaining agent checkpoints for reverting to earlier states if issues arise. Additionally, the platform implements a detailed permission system categorized into five levels of risk, guaranteeing that each action taken by an agent is properly classified and subjected to appropriate oversight. This comprehensive approach not only enhances productivity but also significantly improves the control developers have over their AI interactions.

Spawn serves as an innovative tool within OpenRouter for effortlessly deploying AI coding agents on your infrastructure using just a single command. You can select your desired agent, pick a cloud provider, and Spawn will take care of provisioning a virtual machine, installing the chosen agent along with its necessary dependencies, authenticating to both OpenRouter and the cloud via a CLI OAuth process, configuring all required endpoints and model routing, and finally initiating an SSH session so you can begin your tasks immediately. Each combination of agent and cloud is encapsulated in a standalone script, thus eliminating the need for Terraform or YAML and ensuring that deployments remain portable. The agents supported include Claude Code, OpenClaw, Codex CLI, OpenCode, Kilo Code, Hermes Agent, Junie, Pi, Cursor CLI, and T3 Code, which simplifies the exploration of various coding-agent workflows or allows for seamless switching between them with a single command. In addition to cloud platforms such as DigitalOcean, Sprite, Hetzner Cloud, AWS Lightsail, GCP Compute Engine, and Daytona, Spawn also accommodates local setups or ephemeral local Docker environments. This versatility ensures that developers can choose the best environment suited to their needs.

Kastra serves as the crucial authorization framework for AI systems, determining the permissions of agents, models, and tools prior to their execution. Positioned along the execution path of all interactions such as prompts, tool calls, shell commands, database operations, and API requests, it evaluates each action based on deterministic, attribute-driven policies, rendering decisions to allow, deny, redact, or escalate in less than a millisecond. In contrast to monitoring solutions that only track AI actions post-execution, Kastra proactively prevents unauthorized activities before they can impact any tool, API, database, or production environment. Its comprehensive control plane integrates a policy engine, edge decision-making capabilities, various integrations, and a tamper-proof evidence vault that securely signs each decision for auditing and replay purposes. Furthermore, with Kastra Edge, local enforcement is extended to developer environments, safeguarding coding agents such as Claude Code, Cursor, and Codex CLI from harmful commands, unauthorized data extraction, unsafe file modifications, and improper tool usage. This proactive approach to authorization not only enhances security but also ensures compliance and accountability in AI-driven processes.

FlowRunner stands out as a visual workflow automation platform that integrates native AI agent orchestration, allowing agents to execute workflows independently while pausing for necessary human input. What sets FlowRunner apart is its unique approach to oversight; while most platforms treat approval as a workflow step, FlowRunner empowers agents to reach out to humans as callable tools during execution. It effectively gathers the necessary context and options, then communicates with a designated individual via email, Slack, WhatsApp, or phone, resuming the workflow once a decision is made. Notably, a run can remain on hold for up to a year, ensuring that time-sensitive decisions, like those requiring three days, do not have a deadline. In addition to this, features like audit trails, role-based access control (RBAC), and service level agreement (SLA) tracking are available starting from the mid-tier package, rather than being confined to custom enterprise agreements, and a business associate agreement (BAA) can also be acquired. Every subscription level allows for unlimited users, unlimited workflows, and full access to the integration catalog, with no limitations based on user count or connectors. Billing is structured around the number of workflow runs rather than the individual action steps taken, ensuring a transparent pricing model. Agents are also able to utilize their own AI provider keys, with no additional charges for inference. Furthermore, users can choose between cloud-hosted and self-hosted options, providing flexibility to fit various operational needs.

Journey is an innovative registry platform that facilitates the discovery, installation, and sharing of reusable AI agent workflow kits, instantly enhancing the capabilities of agents. Users can easily explore a collection of pre-designed workflows, referred to as "kits," which can be seamlessly integrated into AI agents using a straightforward command or prompt, thus removing the hassles of manual setup and intricate configurations. Each kit includes a comprehensive, portable workflow that integrates system prompts, behavioral guidelines, tool connections, model preferences, and organized task sequences, allowing agents to carry out consistent and repeatable processes in diverse environments. The platform is designed to work with various agent systems, including Claude, Cursor, Codex, and other compatible tools, ensuring flexibility and adaptability for different development environments. Additionally, Journey offers collaborative tools for teams to efficiently manage workflows, featuring capabilities like version control, permission oversight, and centralized coordination to streamline teamwork and enhance productivity. This combination of features makes Journey an essential tool for teams looking to optimize their AI agent workflows.

AgentScreenshots provides a useful visual feedback mechanism for AI coding agents engaged in frontend development. The `agentshot` command-line interface captures images of localhost, preview, staging, or production pages, storing PNG files within your project directory. This functionality enables the agent to examine the rendered visuals before concluding that the UI is complete. Designed to be compatible with Claude Code, Codex, Cursor, OpenCode, and other coding agents, it enhances the workflow of AI developers significantly. By integrating this tool into their processes, developers can ensure higher quality and accuracy in their user interfaces.

HQ serves as a unified AI context platform for teams, enabling all members and AI tools to collaborate from a single workspace where knowledge, skills, and workflows organically grow together, alongside any operating agents. Functioning as an operating system for AI contributors, it integrates seamlessly with Claude Code, Cursor, Codex, ChatGPT, and Claude chat via MCP, allowing every team member and agent to engage with a shared context rather than disjointed chat logs, scattered documents, and isolated processes. By transforming the exemplary efforts of one individual into foundational team infrastructure, HQ allows any prompt or workflow to be converted into a reusable command; subsequently, the /hq-sync feature disseminates it across the entire team, enabling anyone to execute it with ease. As teams progress, knowledge that is typically dispersed across decisions, documentation, playbooks, policies, projects, code, and concepts converges within HQ, establishing a singular source of truth that every agent can access, repurpose, and build upon. Furthermore, agents can be integrated into platforms like email and Slack, functioning with the team's collective expertise and insights while retaining comprehensive context for improved collaboration. This holistic approach not only enhances team productivity but also fosters an environment of continuous learning and adaptation.

Soku AI is an AI-powered marketing automation platform that runs growth operations across ads, SEO, social media, analytics, ecommerce, and site performance. The platform connects to tools such as Meta Ads, Google Ads, TikTok Ads, GA4, Shopify, Search Console, and other marketing systems to understand what is happening across the full growth loop. Soku runs an initial scan, audits campaigns, sets a strategy, arms monitors, schedules recurring automations, and creates an SEO reverse proxy before making changes. Its agentic workflow continuously perceives signals, decides what matters, acts on safe optimizations, rests, and logs the reasoning behind each move. For paid ads, Soku can launch campaigns, tune bids, shift budgets, pause fatigued creatives, refresh hooks, exclude audiences, and monitor ROAS or CPA targets. For SEO, it can generate pages, update titles and meta tags, find keyword gaps, refresh decaying content, add internal links, monitor Core Web Vitals, and submit URLs to Google. For social, it can draft calendars, schedule posts, reply to messages, detect trends, test captions, boost high-performing posts, and flag comments that need review. Teams stay in control through modes such as Observe, Recommend, Act with Approval, and Full Autopilot, with risky decisions routed to one-tap approval. By combining cross-channel analysis, automation, reporting, guardrails, and an optimization log, Soku AI helps marketing teams and agencies scale execution without scaling headcount.

Runlayer serves as an AI control plane tailored for organizations that are integrating AI agents and associated tools within their engineering, security, IT, and business sectors. This platform features a governed catalog that includes sanctioned MCP servers, connectors, skills, and agents, ensuring that all agent tool calls are channeled through a gateway that enforces compliance with established policies. Administrators have the capability to uncover AI client activities and MCP operations, examine session traces and audit logs, and implement configurable policies, approvals, and security scans to oversee or prevent potentially hazardous actions. Employees are empowered to develop agents via supported AI clients while utilizing authorized tools and defined permissions, with teams overseeing the adoption and management of these resources. Furthermore, Runlayer seamlessly integrates AI clients with identity providers, device management systems, and MCP servers, offering both hosted and self-hosted deployment options. This solution is specifically crafted for organizations aiming to achieve unified visibility, governance, and security as they implement AI agents and related workflows throughout their operations, fostering a more efficient and controlled environment for innovation.

Ghostex serves as an all-in-one workspace tailored for developers utilizing AI coding assistants, integrating features such as agent chats, terminal access, an embedded code editor, and project management tools within a single desktop application. This platform allows developers to oversee several agent command-line interface sessions, facilitate discussions between different agents, and manage collaborative tasks while also organizing projects, worktrees, and remote systems efficiently. Users can also utilize mobile companion applications to monitor ongoing sessions, respond to agent queries, and initiate tasks from afar, ensuring agents remain active on their connected computers. Ghostex is compatible with various command-line agents such as Claude Code, Codex, Gemini CLI, OpenCode, and Cursor, enhancing its versatility. Additionally, it supports optional connectors that integrate with popular services like Gmail, Slack, Notion, GitHub, Linear, and Outlook, incorporating approval mechanisms for any data-altering actions. The platform provides desktop applications for macOS, Windows, and Linux users, while Android and iPhone applications are accessible through TestFlight, reinforcing its commitment to cross-platform usability and developer convenience. In this way, Ghostex not only streamlines coding workflows but also fosters enhanced collaboration among developers and AI tools.

Vicoa serves as a versatile AI coding assistant that empowers developers to operate, oversee, and engage with various AI coding agents, such as Claude Code, Codex, and OpenCode, from any device including laptops, smartphones, tablets, and web browsers, ensuring smooth session continuity and real-time synchronization for a seamless experience across multiple screens. With its user-friendly visual interface and comprehensive session history, users can easily browse, search, and revisit previous AI coding discussions, analyze code changes, and either approve or adjust modifications made by the agents without being confined to a terminal. Additionally, Vicoa sends immediate alerts when an agent requires user input, allowing tasks to progress even when users are away from their workstations. The platform also boasts an array of features, including cross-device workflows, fuzzy file searching, slash commands, voice input, permission settings, navigation of unseen messages, and retention of drafts, which collectively streamline the coding process and enable developers to effortlessly switch between devices while maintaining their workflow without losing any context. This level of flexibility and functionality makes Vicoa an invaluable tool for modern developers who need to stay agile and productive in a fast-paced coding environment.

Mastra is an open-source AI agent development framework built with TypeScript that helps developers create, test, deploy, and maintain intelligent applications. The framework provides configurable AI agents capable of reasoning through tasks, interacting with external tools, accessing information, and executing multistep operations. Its workflow orchestration capabilities allow developers to define structured sequences with conditional logic, parallel execution, retries, error handling, and human-in-the-loop approvals. Mastra includes persistent memory functionality that enables agents to retain conversation history, maintain structured working memory, and retrieve relevant information from previous interactions. Its agent harness supports long-running tasks, shared execution state, multiple operating modes, and persistent storage for complex autonomous applications. Developers can integrate different large language models through a unified model router and connect agents to external applications using APIs and Model Context Protocol servers. Built-in observability features provide execution traces, logs, performance metrics, token usage tracking, and debugging information for monitoring agent behavior. Evaluation tools support automated scoring, reusable test datasets, experiments, and performance comparisons to improve agent reliability before production deployment. Mastra integrates with frameworks such as React, Next.js, and Node.js and supports deployment through Mastra Cloud, standalone servers, and compatible cloud infrastructure.

Agentspan is an innovative open-source server and SDK that introduces robust execution capabilities for AI agents, redefining their operation in practical settings that go beyond mere demonstrations. It empowers developers to create agents using Python and convert them into reliable, persistent workflows that safeguard execution state on the server, which prevents any loss of progress during system failures or restarts. This unique setup allows agents to pause and resume their tasks exactly where they stopped, even if they reconnect from a different device. Furthermore, it facilitates human oversight by allowing agents to pause for user approval and then continue effortlessly via platforms like Slack, web interfaces, or code. Additionally, Agentspan supports complex multi-agent workflows, enabling multiple agents to be interconnected in a single sequence, ensuring that every step is meticulously logged, monitored, and recoverable throughout the entire process. This comprehensive approach enhances both the reliability and flexibility of AI applications in various operational contexts.

Blume serves as a desktop sidecar tailored for AI coding agents, enabling developers to monitor each agent's actions, maintain consistent project context, and identify potential drift before it impacts the codebase. It integrates seamlessly with tools like Cursor, Claude Code, Codex, omp, and Pi, consolidating agent activities, hidden files, skills, hooks, rules, and provider usage into a single interface. The Agents view provides insights into the status of each coding agent, indicating whether they are currently active, have completed their tasks, or are pending approval, while the Setup section reveals the instructions and configuration files that dictate agent behavior. Additionally, usage tracking helps developers keep tabs on remaining plan limits and token usage across various providers like Claude, Codex, and Cursor, thereby minimizing the risk of unexpected disruptions. Blume also securely stores conversation history locally, enabling on-device reviews of rules, skills, and hooks. Its Improve workflow actively identifies recurring points of friction within conversations, groups related issues, and suggests actionable improvements, which may include new rules or the creation of reusable skills, ultimately enhancing the overall coding experience. Furthermore, this continuous feedback loop fosters a more efficient development process, allowing teams to adapt and refine their workflows as needed.

The Claude Agent SDK serves as a comprehensive toolkit for developers aiming to create autonomous AI agents that utilize Claude's capabilities, facilitating their ability to engage in practical tasks that extend beyond mere text generation by directly interfacing with various files, systems, and tools. This SDK incorporates the same core infrastructure utilized by Claude Code, featuring an agent loop, context management, and built-in tool execution, and it is accessible for developers working in both Python and TypeScript. By leveraging this toolkit, developers can create agents that are capable of reading and writing files, executing shell commands, conducting web searches, modifying code, and automating intricate workflows without the need to build these functionalities from the ground up. Additionally, the SDK ensures that agents maintain a persistent context and state throughout their interactions, which allows them to function continuously, reason through complex multi-step problems, take appropriate actions, verify their results, and refine their approach until tasks are successfully completed. This makes the SDK an invaluable resource for those seeking to streamline and enhance the capabilities of AI agents in diverse applications.

The Oneflash Agentic Business Suite serves as an intelligent AI-driven business platform tailored for small and medium enterprises. This comprehensive system integrates CRM, ERP, website management, inventory control, e-commerce functions, WhatsApp communications, workflow approvals, permissions, reporting, and audit trails into a single cohesive modular operating system. Rather than functioning merely as an independent chatbot, Oneflash enables AI to engage directly within established business processes, adhering to predetermined guidelines and requiring human consent. Teams can leverage AI to access records, manage follow-ups, draft communications, assist with administrative tasks, route requests, and initiate controlled actions when permissions are granted. This solution is specifically crafted for organizations that currently navigate their operations through spreadsheets, isolated websites, messaging platforms, and manual approval processes, thus streamlining their workflow and enhancing efficiency. By integrating various business functions, Oneflash aims to reduce operational silos and foster a more cohesive working environment.

claude-mem serves as an offline-first cloud memory solution for AI agents, centered around an open source engine along with a cloud synchronization layer that connects agent memories universally through a single private MCP link. Its design ensures that coding agents and AI assistants do not begin from scratch in each session, regardless of the machine or editor in use. As agents work, claude-mem efficiently records notes that encapsulate decisions, solutions, obstacles, environmental insights, architectural choices, and a variety of structured observations within a temporal database. The CMEM Cloud then replicates this local memory through a private Model Context Protocol endpoint, enabling any compatible agent or integrated development environment to access and modify the same memory across various platforms such as Claude Code, Cursor, Windsurf, OpenCode, Codex CLI, Gemini CLI, and VS Code. Operating primarily in a local setting, it maintains functionality whether or not a network connection is available, and ensures that memory is kept in sync whenever cloud access is present. This innovative approach enhances the continuity of AI interactions, facilitating a smoother experience for developers and users alike.

Willow serves as a comprehensive enterprise platform designed to manage AI agents, tools, MCP servers, skills, and plugins. It facilitates the connection of various agents like Claude, ChatGPT, Cursor, Codex, Gemini, n8n, and customized agents to internal frameworks and SaaS applications such as Jira, GitHub, Slack, and databases via an MCP gateway. Each agent is assigned a human-linked identity, specific permissions, and an audit trail for accountability. Security teams are tasked with establishing policies while employees have the ability to self-service approved connectors, skills, and plugins as needed. Among its features are shadow AI discovery, PII redaction, prompt-injection inspection, app- and action-level permissions, as well as integrations for SSO, SCIM, and RBAC with platforms like Okta, Entra ID, and JumpCloud. Additionally, Willow offers capabilities for SIEM export, token and cost tracking, and operates background agents to enhance functionality. The platform is accessible in various deployment models, including SaaS, dedicated cloud, or on-premises within a customer’s VPC. With a SOC 2 Type II attestation and compliance with GDPR, Willow has gained traction and is currently utilized in production by notable companies such as Wix, Innovid, and Riskified, ensuring it meets high industry standards. This versatility and commitment to security make Willow a robust choice for organizations looking to harness the power of AI responsibly.

Tokenrip gives AI agents and their people one shared place to work. Instead of copying context between chat windows, teams connect the agents they already use, including Claude, Claude Code, Claude Cowork, ChatGPT, OpenAI Codex, Cursor, Grok and other MCP-compatible tools, to a common workspace of files, tasks and pinned decisions. Every agent reads the workspace's pinned guidelines before it starts, records what it does in a live activity feed, and can pass work to another agent with notes and files attached. Actions that need a human, such as sending an email or publishing a post, arrive as approval requests that a person can approve, edit or skip. Files are versioned, each agent gets its own revocable key, and clients or contractors can be invited as free guests. Tokenrip is model-agnostic and does not run agents itself, which means no lock-in to a single AI vendor. Access is available through the web app, an MCP server, a CLI and an open API. Pricing starts with a free plan (2,500 actions per month, 1 GB), with Pro at $20 and Power at $60 per member per month and custom Enterprise plans offering self-hosting and SSO by arrangement. Teams use Tokenrip as a Notion alternative built for AI agents, as a way to share context and memory between Claude and ChatGPT, and as a human-in-the-loop approval layer for agentic workflows. Learn more at tokenrip.com.

Bench47 empowers teams and their AI-driven agents with a unified, clear memory and skill set. Key decisions, incidents, strategies, and discoveries are documented in an easy-to-read Markdown format, allowing for inspection, editing, and exportation by users. Various MCP-compatible agents, including Claude Code, Codex, and Cursor, can share the same knowledge base and contribute new insights. This system enables teams to maintain up-to-date skills across different machines, connect knowledge with code modifications, and seamlessly transfer tasks between agents while retaining context. Additionally, agents can initiate workflows for both development and production through alerts, webhooks, and scheduled tasks. The flexibility of Bench47 allows it to operate on chosen machines, adhering to the access levels established by the team. Furthermore, it can be utilized as a hosted service, self-hosted within the client's infrastructure, or deployed exclusively in the customer's cloud environment, ensuring adaptability to various organizational needs. This versatility makes Bench47 an invaluable tool for enhancing collaboration and efficiency in AI-driven projects.

Emdash is an open-source AI coding agent orchestration platform designed to help developers coordinate parallel software development activities. The application provides a unified workspace for launching, monitoring, and managing multiple coding agents, including Claude Code, Codex, Cursor, Gemini CLI, and other supported command-line tools. Each agent runs within a dedicated Git worktree containing its own branch, terminal session, conversation history, and code review state. This architecture enables developers to assign independent programming tasks to different agents while keeping their file modifications separated. Emdash includes a built-in browser for previewing local development servers, remote applications, and web pages without leaving the development workspace. Its version control tools support inspecting code differences, creating commits, pushing changes, opening pull requests, and monitoring continuous integration checks. Developers can configure scheduled automations for recurring activities such as bug investigations, release preparation, and repository maintenance. The platform integrates with issue tracking services such as Linear, Jira, GitHub, Notion, and Asana to provide agents with task information and project context. Emdash also supports remote development through SSH connections, reusable prompts, agent skills, MCP server configurations, and persistent terminal sessions.

Orca serves as a desktop environment tailored for developers who manage AI coding agents across various software projects. It efficiently organizes tasks within isolated Git worktrees, enabling agents to address distinct assignments or concurrently handle the same project. Each workspace integrates an agent terminal, code editing capabilities, browser access, and tools for examining diffs, reviewing modifications, and committing or pushing changes. The platform accommodates command-line agents like Claude Code, Codex, Cursor CLI, and OpenCode, while facilitating connections to code repositories and issue-tracking systems. Developers can execute agents locally or on remote servers, arrange tasks into sessions, and utilize a mobile companion app to oversee activities away from their desktops. Furthermore, a command-line interface is available to streamline the automation of workspace and agent tasks. Orca is specifically crafted for developers engaged in coding and Git management who seek to oversee several AI-assisted coding endeavors; it stands out as a desktop application instead of a cloud-based coding solution, ensuring developers maintain control over their projects. This unique setup allows for enhanced productivity and collaboration in coding environments.

GenFlow 2.0 represents a state-of-the-art AI agent framework that utilizes Baidu Wenku's unique Multi-Agent Parallel Architecture, coordinating over 100 AI agents simultaneously to streamline complex task completion from several hours to less than three minutes. This innovative platform prioritizes transparency and gives users complete control throughout the process, allowing them to pause tasks whenever desired, adjust instructions in real-time, and amend interim results, thus fostering a collaborative environment between humans and AI that is both flexible and accurate. To ensure high levels of reliability and precision, GenFlow 2.0 independently taps into extensive knowledge repositories, including Baidu Scholar's collection of 680 million peer-reviewed articles, Baidu Wenku's 1.4 billion professional documents, and files approved by users from Netdisk, employing retrieval-augmented generation along with multi-agent cross-validation to significantly reduce the risk of inaccuracies. Additionally, the platform accommodates a diverse range of multimodal outputs, which encompass various forms of content creation such as copywriting, visual design, slide presentation generation, research documentation, animations, and coding, thereby catering to a broad spectrum of user needs. With its advanced capabilities, GenFlow 2.0 stands out as a comprehensive solution for those seeking to leverage AI in a multitude of professional domains.

A handless agent is essentially just a chat interface, while superagnt_ serves as a robust MCP server that equips your existing agent with social media insights, web data, lead enhancement capabilities, a fully operational Postgres database, shared memory resources, scheduling tools, queues, webhooks, and an inbox, all accessible through a single key. You can direct any MCP client, such as Claude Code, Codex, Cursor, or OpenClaw, to connect with the superagnt MCP server. Charges apply only when a response is successfully generated, and both free and pay-as-you-go options are available, with the builder base starting at just $19 per month. Moreover, this comprehensive setup allows for seamless integration of various functionalities, enhancing the overall user experience.

Whim is a cloud-based development workspace designed for deploying AI coding agents with remarkable speed and efficiency. It provides developers the ability to operate AI coding agents such as Claude Code and Codex within isolated cloud containers, rather than relying on local machines. Each assignment is allocated a dedicated sandboxed Ubuntu environment, offering complete shell access, isolated git branches, and real-time terminal streaming. This setup facilitates seamless integration of AI coding agents into the daily operations of developers and teams, promoting parallelism, collaboration, and eliminating the need for local configuration. Users can easily link a repository, compose a prompt, and the AI agent begins its tasks within a protected cloud container that is accessible from any device. Additionally, multiple tasks can be executed at once, enabling experimentation with various strategies, focusing on different features, or allowing an orchestrator to manage a team of agents without interference. Whim also supports native CLI runtimes for Claude and GPT models, with plans to incorporate more models via OpenRouter in the future. This versatility positions Whim as a powerful tool for enhancing productivity in software development environments.

SERAA Cortex takes every agent from build to production and keeps watch once it is live, including agents built on Gemini Enterprise, Azure AI Foundry, AWS Bedrock and Databricks. Any agent can be stopped instantly.

Agent Compute Engine is a fully managed compute service offered by Google Cloud that creates execution environments specifically for AI agents. Each agent operates within its own hardware-isolated microVM, complete with a dedicated guest kernel and root-level management capabilities. Users can benefit from features such as rapid startup, pausing, checkpointing, creating snapshots, and resuming workflows. Persistent workspaces are available to maintain agent files and context throughout different sessions, and the platform utilizes copy-on-write memory sharing to enable parallel environments derived from shared images. Agents have the capability to execute code, run shell commands, and perform browser actions within secure sandboxes, with carefully regulated access to enterprise data through Google Cloud's networking and identity frameworks. Developers have the flexibility to customize environment images, manage identity protocols, control network access, and oversee the lifecycle of their agents, all while Google takes care of the underlying compute infrastructure. The platform is particularly well-suited for interactive assistants, coding agents, browser-based tasks, and extensive evaluation and reinforcement learning tasks, showcasing its versatility and efficiency in handling a wide range of AI applications. This comprehensive management allows developers to focus on building and optimizing their AI solutions without the burden of infrastructure concerns.

Graft AI is an enterprise platform that helps AI agents work inside legacy software by turning existing interfaces into reliable tools. The platform is designed for companies that rely on systems without modern APIs, including ERPs, mainframes, desktop applications, web portals, virtual desktops, internal tools, and file-based workflows. Graft observes real workflows and maps screens, inputs, transitions, rules, effects, and application states. It then compiles those workflows into stable typed contracts, adapters, policy boundaries, and conformance tests that agents can call through MCP-compatible tools. The platform verifies real source-system effects using independent evidence so the adapter cannot simply certify itself. Graft also enforces approvals, roles, permissions, boundaries, and least-privilege access so write actions stay governed. Every agent action is logged with context, making workflows auditable, traceable, and easier to review. The platform runs in the customer’s environment and states that customer data does not train its models. By combining interface intelligence, governed execution, verification, stable contracts, and auditability, Graft AI gives enterprises a practical bridge between existing software and modern AI agents.

Omnara is an open-source API for building and running AI agents in your product or internal workflows. It handles agent execution and state, so developers can focus on what each agent needs to do instead of building the infrastructure around it. You can use Omnara to add agents to a customer dashboard, create internal Slack agents, or run workflows such as code review. Launch agents, send instructions, and follow their work through a REST API, TypeScript SDK, or CLI. Agents preserve their state and can resume after interruptions. Choose the models, tools, and environments that fit your project. Omnara supports providers such as OpenAI, Anthropic, and OpenRouter, as well as compatible endpoints for models you host yourself. Agents can use managed sandboxes or connect to your own machines. MCP integrations and reusable skills let them work with external tools and data. For teams, Omnara provides project access controls, encrypted secrets, activity history, and approval steps for sensitive tool actions. You can start with Omnara Cloud or self-host the platform in your own environment.

Modulo is a comprehensive self-hosted solution designed to construct and manage software development lifecycle pipelines utilizing AI agents. Teams can create visual workflows incorporating various components such as agents, connectors, approval gates, and human interventions, while also specifying typed inputs, outputs, permissions, and review checkpoints for every transition. The platform enables the orchestration of existing agents alongside tools for source control, ticketing, messaging, CI/CD, monitoring, and knowledge management, with schema validations and human approvals guiding the workflow progression. Additionally, Modulo meticulously logs inputs, outputs, model versions, prompt details, evaluations, and governance decisions, creating a detailed audit trail. Teams are empowered to establish token budgets for individual agents, impose spending caps on pipelines, and initiate organization-wide pauses as needed. Ultimately, Modulo caters to engineering and platform teams aiming to regulate agent-assisted software delivery, encompassing code modifications, pull requests, reviews, and other related development workflows on their managed infrastructure. This platform not only enhances operational efficiency but also ensures accountability throughout the software delivery process.