Alternatives to OpenAny

Glasser serves as a marketplace for data APIs tailored for AI developers and agents. It unifies various specialized data providers under a single account and balance, catering to needs such as company and individual research, SEO, finance, real estate, employment, social media, and product information. Users have the ability to explore available endpoints, examine input requirements and associated costs before making a request, and can access data through Glasser's hosted services, a Model Context Protocol (MCP) connection, a command-line interface, or via their agent setup skills. Rather than charging a monthly subscription fee, Glasser operates on a pay-per-call basis, with pricing varying by provider and endpoint. The platform facilitates agent workflows that require organized external data for tasks like research, lead generation, data enrichment, analytics, or searching. Users select which endpoint to utilize and can view both results and costs within their workspace. Additionally, searching for endpoints and checking prices comes at no cost, and new users are granted a $1 credit for their initial paid calls, making it an attractive option for those looking to leverage diverse data streams. Ultimately, Glasser streamlines the integration of essential data for various applications, enhancing the efficiency of AI-driven projects.

MuleSoft provides a unified platform for enterprises that need to connect, manage, govern, and orchestrate AI agents, APIs, models, applications, and data at scale. It serves as an agentic control plane that helps organizations bring structure and visibility to fast-growing AI environments. Through MuleSoft Agent Fabric, companies can govern and coordinate agents regardless of where they were built, helping improve performance, compliance, and return on investment. MuleSoft Omni Gateway extends control across APIs, agents, and models, allowing teams to manage development, deployment, security, and policy enforcement from a single place. The platform also includes tools such as Agent Registry and Agent Scanners to identify, catalog, and monitor agents across major AI platforms. With Agent Broker and A2A support, MuleSoft helps agents collaborate across systems while giving businesses more control over how tasks are routed and completed. Organizations can also use MuleSoft MCP Support and Anypoint Connectors to transform existing applications, APIs, and systems into resources that AI agents can use. For developers, MuleSoft offers options ranging from natural language building with MuleSoft Vibes to pro-code development with Anypoint Code Builder. MuleSoft is designed for enterprises that want to scale agentic AI securely while maintaining governance, integration, observability, and operational consistency.

BetterToken serves as a hosted API gateway for language models, enabling access to a variety of providers such as Anthropic, OpenAI, Moonshot, Z.ai, DeepSeek, Alibaba Cloud, and MiniMax through unique account keys. It features endpoints that are compatible with both OpenAI and Anthropic models, along with a Responses-compatible configuration for Codex, allowing developers to seamlessly link coding tools, applications, agents, and automation workflows via a personalized base URL. Users can explore a dynamic model catalog, monitor their token consumption and associated fees within the workspace, and make payments through either a prepaid balance or monthly subscription plans. The costs associated with different models depend on the input, output, and whether cached or media tokens are utilized. Comprehensive setup guides are available for tools such as Claude Code, Codex, Cursor, Dify, and n8n. Ultimately, BetterToken is designed to assist developers and teams in incorporating hosted language models into their software solutions and automated processes efficiently. With its user-friendly interface and variety of features, BetterToken aims to simplify the integration of advanced language technologies into everyday applications.

Grokified serves as a cloud-hosted API gateway compatible with OpenAI, allowing users to access Grok models via a unified API endpoint. This platform is designed for developers and AI engineers, facilitating chat interactions and coding tasks, along with handling requests related to images, videos, voice, and various tools. Among its features are API key management, model selection, streaming capabilities, function calling, and tools for tracking usage and costs, alongside management of prepaid balances. Users of OpenAI SDK clients and aligned editors can easily connect by setting up the Grokified base URL and their credentials, while a supplementary command-line interface is available for configuring supported agents. Each request utilizes credits from prepaid accounts, with usage rates that are more affordable than standard pricing, making it an efficient choice for developers. Additionally, Grokified continues to evolve, with ongoing updates that enhance its functionality and integration options.

CheapTokens offers a pay-as-you-go API service tailored for developers who are creating AI agents, coding workflows, and applications utilizing open-weight language models. The platform features a model catalog that highlights various families, including DeepSeek, GLM, and MiniMax. It supplies API endpoints that are compatible with both OpenAI and Anthropic, allowing developers to utilize existing tools seamlessly. By using a CheapTokens API key, a base URL, and a model ID, developers can easily connect to the supported resources. The billing operates from a prepaid USD balance, charging separate rates for input and output tokens, and eliminates the need for a monthly subscription. Pricing is transparently outlined per million tokens used. Additionally, the website offers comprehensive API documentation, practical request examples, and detailed integration guides for various coding assistants and agent tools, ensuring developers have the resources they need for effective implementation. This combination of accessible pricing and robust support makes CheapTokens an appealing choice for many in the developer community.

ApiGo serves as a centralized AI model gateway tailored for developers and teams engaged in creating applications that leverage language models. It offers a single API endpoint that facilitates sending requests to various model providers, utilizing OpenAI-compatible request formats and a unified interface for model selection. The platform features model routing, fallback configurations, management of API keys, detailed request and usage logs, token pricing for each model, controls for workspace balance, and dashboards for monitoring consumption. Developers have access to comprehensive setup guides that assist in integrating coding assistants and agent tools such as Cursor, Claude Code, Codex CLI, OpenCode, Kimi Code, and OpenClaw. Designed with teams in mind, ApiGo allows for streamlined management of model-provider access, usage tracking, and billing through one convenient hosted gateway, eliminating the need to configure each provider individually. By simplifying these processes, ApiGo empowers teams to focus more on development and less on administrative tasks.

Harden AIF serves as a security platform specifically designed for AI coding agents, ensuring agent endpoint security by assessing tool calls prior to execution based on the developer's intent, session context, organizational policy, and the potential impact of the action proposed. This platform effectively safeguards against threats such as harmful commands, unauthorized access, accidental data transfers, exposure of sensitive information, misuse of privileges, and other risky actions undertaken by agents. By allowing legitimate operations to proceed without disruption, it can also safely redact sensitive information during supported workflows while preventing actions that deviate from the developer's intent or exceed their authority from executing. Harden AIF is compatible with a variety of widely used coding agents and development tools, including Claude Code, Codex, Cursor, Antigravity CLI, Kiro, Hermes, and OpenClaw, thus offering a uniform security framework throughout the agent ecosystem. This comprehensive approach not only enhances security but also fosters a safer environment for developers working with AI technologies.

RelaySwitch serves as a centralized API gateway for developers, enabling them to access AI models from various providers via a unified endpoint and account. It offers an API that is compatible with OpenAI and accommodates the Anthropic Messages format for Claude models, which allows developers to easily integrate their preferred SDKs and tools by simply updating the base URL and API key. The platform features a diverse catalog that includes chat, image, video, speech, and 3D models, along with detailed model identifiers and token pricing. Billing is conducted using a prepaid USD balance, where separate rates for input and output are provided, and in some cases, utilizing cached input may be more economical. Users can replenish their balance through various accepted payment methods, including credit cards and digital assets, without the need for a monthly subscription. RelaySwitch is specifically designed for developers and teams focused on creating applications and agents utilizing hosted AI models, and it includes extensive API documentation, comprehensive model listings, and setup instructions to facilitate integration with supported SDKs and tools. Additionally, the platform aims to streamline the development process, making it easier for users to leverage advanced AI capabilities in their projects.

Kunavo serves as a centralized AI API gateway tailored for developers and teams, allowing them to manage a single account, utilize one API key, and maintain a prepaid credit balance to access a variety of models from different providers. This platform offers Chat Completions compatible with OpenAI and a dedicated endpoint for Anthropic Messages, all of which are detailed in its live catalog and API documentation. The service is capable of processing requests that encompass text, images, videos, and audio, depending on the chosen model and route. Developers can easily integrate supported SDKs, coding agents, workflow tools, and other clients by simply providing the base URL, key, and model identifier. A user-friendly dashboard tracks request usage and associated costs, and it allows API keys to have individual spending limits and IP allowlists to enhance security. Billing operates on a pay-as-you-go model against prepaid credit, with transparent rates that differ based on the model and modality, eliminating the need for a recurring subscription. Potential applications include the incorporation of model inference into various applications, streamlining coding workflows, automating processes, and enhancing customer support or data processing capabilities with AI. This flexibility makes Kunavo an appealing choice for teams looking to leverage multiple AI models efficiently.

Zerouter serves as a hosted AI API gateway tailored for developers who are creating applications and coding workflows that utilize large language models. It offers a single API key along with a customizable base URL to facilitate requests to models from various providers, including Anthropic (Claude), OpenAI (GPT), Google (Gemini), xAI (Grok), and Moonshot AI (Kimi). This gateway presents endpoints compatible with both OpenAI and Anthropic, enabling supported SDKs and clients such as Claude Code, Codex CLI, and Cursor to connect seamlessly to a custom endpoint, thereby eliminating the need for managing multiple provider connections. Users have the ability to choose model IDs, check published per-token pricing, and monitor usage and charges at the request level. Zerouter adopts a pay-as-you-go billing model that charges based on the tokens used for input and output, imposing no subscription fees or monthly minimums. It specifically targets software developers and technical teams looking to integrate hosted LLMs into their applications, coding agents, and diverse API-driven workflows. This flexibility and ease of access make Zerouter a valuable resource for enhancing the efficiency and effectiveness of AI-driven development projects.

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.

Boldrouter serves as a hosted AI gateway tailored for developers and teams engaged in creating applications utilizing large language models. It offers an OpenAI-compatible API along with a consolidated endpoint that efficiently routes requests among various model providers, intelligently selecting and switching based on criteria such as cost, response time, or provider reliability. Teams have the flexibility to utilize prepaid credits or link their own provider keys, while also having the capability to oversee API keys, set spending limits, and analyze token, model, and latency metrics through an intuitive dashboard. This platform additionally features capabilities like streaming, tool invocation, multimodal requests, embeddings, document text extraction, model consensus and evaluation, and an optional prompt anonymization function that ensures personal data is removed before requests are sent. Supporting a wide range of workflows, the Swiss-hosted service is ideal for applications, SaaS solutions, agents, and developer tools requiring access to diverse AI models. Furthermore, its robust infrastructure promotes seamless integration with existing systems, making it a versatile choice for modern application development.

Apyflux is an innovative API marketplace designed specifically for developers, aiming to streamline the process of API exchange between publishers and users. Serving as a connector, it links API publishers from around the world with software developers who are creating cutting-edge products. The platform is equipped with essential features such as extensive API discoverability, safe payment options, and tools for managing the entire API lifecycle, which includes subscription management, usage analytics, and responsive technical support. Developers have the opportunity to discover APIs tailored for various applications, including data scraping, user authentication, and financial analytics, while enjoying advantages like low-latency endpoints, real-time monitoring, and thorough API documentation. By utilizing Apyflux, the integration of APIs transforms into a smooth experience, enabling developers to efficiently construct and expand their applications. Additionally, the marketplace fosters collaboration and innovation, making it easier for developers to access the resources they need to succeed in their projects.

ProspectAPIs serves as a cloud-based REST API and Model Context Protocol (MCP) server tailored for sales teams, outbound personnel, founders, and developers engaged in crafting prospecting workflows or AI-driven agents. The platform offers a searchable database of company funding rounds, complete with URLs for announcement sources and various filters such as round type, date, amount, company name, investor, and country. Additionally, it features signed webhook watchlists to notify users of new funding rounds that match their criteria. The API includes a prospect-research endpoint that provides sourced summaries of a company or individual, aiding in account research, call preparation, or outreach efforts. Moreover, the service encompasses email verification and related email-data endpoints to enhance outreach effectiveness. MCP clients benefit from the convenience of accessing API tools with a single key and prepaid balance. Each funding record is priced at $0.02, while completed research briefs are available for $0.15, and users begin with a one-time $1 balance; this pricing model operates on a prepaid basis for results, rather than a per-seat or subscription fee. This flexible approach allows users to manage their expenses efficiently while accessing valuable prospecting resources.

Superpowers is an agentic software development framework that provides coding agents with a complete methodology for building software more carefully and consistently. The framework is built around composable skills that automatically guide agents through the right workflow at each stage of development. Instead of immediately generating code, an agent using Superpowers first clarifies the user’s goal, develops a specification, and presents the design in readable sections for approval. Once the design is approved, the agent creates a detailed implementation plan with small tasks, exact file paths, verification steps, and testing expectations. Superpowers strongly emphasizes true test-driven development, including writing failing tests first, making them pass, refactoring, and committing only after verification. The framework can use subagents to complete tasks, inspect work, review implementation quality, and continue progressing through a structured plan. It includes skills for brainstorming, writing plans, executing plans, systematic debugging, code review, git worktrees, and finishing development branches. Superpowers supports multiple coding environments, including Claude Code, Codex, Gemini CLI, OpenCode, Cursor, Factory Droid, and GitHub Copilot CLI. Superpowers helps software teams reduce agentic mistakes, improve code quality, and make AI-assisted development more predictable.

SeedRouter serves as an API platform that allows users to access a variety of AI models for images, videos, language, and audio through a single API key and prepaid balance. It offers endpoints that are compatible with OpenAI for language models, as well as asynchronous task APIs specifically designed for media generation. Developers can conveniently oversee key management, track the status of their requests, and analyze usage and costs at the model level via an intuitive dashboard. Tailored for both developers and product teams, SeedRouter facilitates the integration of diverse AI model families into various applications, streamlining the development process significantly. This makes it an essential tool for those looking to enhance their applications with advanced AI capabilities.

Monid is a tool-call routing platform built specifically for AI agents that need flexible access to many external services without complex integration work. The platform acts as a single skill and shared balance layer, allowing agents to discover, select, and execute calls across more than 200 tools from over 30 providers. Instead of forcing users to manage multiple API accounts or subscriptions, Monid meters each call individually and charges only for actual usage. Agents can search Monid’s registry in natural language to find relevant endpoints, view pricing, understand input schemas, and run the most suitable tool for the task. The platform supports MCP-compatible agents and can be connected to tools such as Claude Code, OpenClaw, and other compatible agent environments. Monid returns normalized, structured JSON responses, making it easier for agents to compare providers and build reliable workflows across different APIs. It can support use cases like e-commerce trend research, B2B lead enrichment, local review monitoring, content research, and automated social listening. By routing tool calls dynamically, Monid allows agents to choose the best endpoint based on context, cost, and output quality. The system is designed to reduce reliance on expensive software subscriptions by letting users pay only for the tool calls that matter. Monid gives builders, teams, and businesses a simpler way to expand agent capabilities without manually wiring every API. Its agent-first approach makes it easier to build autonomous workflows that research, analyze, enrich, monitor, and deliver structured results.

The Agents API enables developers to create and operate cloud agents utilizing the same framework and infrastructure that supports Codex, all under the management of OpenAI. By making a simple API request, users can establish a fully operational agent by defining the specific task, model, tools, and environment, with OpenAI overseeing the agent's infrastructure. Developers have the flexibility to select where their agents are deployed: whether in an OpenAI-managed sandbox, on personal servers, or via authorized sandbox partners. The OpenAI-managed sandboxes offer secure environments for agents to execute code, interact with files, utilize packages, skills, and plugins, and generate outputs. Designed for tasks that require extended operation, the API features automatic context compaction to retain pertinent information across multiple context windows within sessions. Additionally, the tool search function efficiently loads relevant definitions only as needed, while programmatic tool invocation allows agents to execute calls simultaneously, chain related tasks, and filter or merge results seamlessly in code. This comprehensive approach not only enhances efficiency but also empowers developers to create more sophisticated applications.

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.

Tailor it to align with your brand while ensuring that all essential features are included for seamless API integration. Facilitate a quick and customized onboarding journey, guiding users from initial discovery through to full integration. Monitor user behavior on your portal alongside real-time API usage analytics. Incorporate live testing capabilities, integrated API key management, and ready-to-use code snippets. Implement a system for sending emails, alerts, and updates based on API utilization patterns. Select an appropriate monetization strategy and experiment with various pricing models. Aim for the quickest transition to the first API call while providing a personalized user experience. Continuously enhance your developer portal and adapt your pricing structures to support business growth. Regularly gathering user feedback can also help refine these offerings for an even better experience.

Tuning Engines serves as a comprehensive AI control and governance framework designed for teams engaged in building production intelligence that spans various models, agents, tools, and specialized systems. This platform consolidates the entire AI lifecycle into a single, regulated environment, encompassing aspects like inference, model routing, fallback strategies, fine-tuning tasks, datasets, evaluations, model imports and exports, custom models, agents, MCP servers, reusable skills, guardrails, AGT YAML policies, data capture, runtime tracing, usage analytics, API management, billing, team roles, and numerous integrations. Developers benefit from APIs compatible with OpenAI, routes aligned with Anthropic, CLI workflows, MCP access, and seamless coding-agent integrations, along with a comprehensive resource catalog for models, agents, tools, and skills. Moreover, teams have the ability to link various AI workflows, including Claude Code, OpenCode, Aider, Cline, Roo, Continue.dev, Cursor, VS Code, Windsurf, and more, all through a singular, governed platform that enhances collaboration and efficiency.

AI Gateway HQ serves as a centralized AI gateway and management platform that helps organizations link their applications, coding agents, and automation tools to various model providers. It offers API endpoints that are compatible with OpenAI and Anthropic, efficiently routing requests through a system that manages provider credentials, model aliases, workload keys, and fallback mechanisms. Administrators have the ability to enforce identity and access policies, track request metadata, manage organizational and workload budgets, establish rate and concurrency limits, and analyze routing, usage, costs, and compliance with policies. Additionally, the service allows users to integrate their own provider API credentials or opt for a managed Amazon Bedrock solution that utilizes prepaid credits. Users can configure and govern their requests through a browser-based console and API, with established client setups that feature Codex CLI, Claude Code, and OpenCode. Teams leverage this platform to streamline AI access, manage model utilization and financial outlay, and continuously monitor operational metrics across different applications and environments, ensuring efficiency and accountability in their AI initiatives. Overall, the platform empowers organizations to optimize their AI strategies while maintaining control over resource allocation and compliance.

Oxlo.ai offers a privacy-centric inference platform tailored for agents, designed to operate cutting-edge open-source models while ensuring unlimited agentic tool utilization, secure failover, and complete absence of data retention or training. This platform provides developers with request-based access to a selection of curated open models via a streamlined HTTP API, which facilitates predictable usage, low-latency inference, and seamless integration into existing production environments. Teams can easily invoke models using OpenAI-compatible endpoints, transition from other service providers merely by adjusting the base URL and API key, and maintain support for a range of functionalities such as streaming, function calling, JSON mode, and various model types including vision models, embeddings, and image generation. With support for over 40 diverse models, Oxlo.ai encompasses a wide array of applications including text, chat, reasoning, coding, image generation, audio, embeddings, computer vision, vision-language, speech-to-text, text-to-speech, long-context, and detection workflows, making it a versatile tool for developers. This expansive support allows for innovative applications across multiple industries, enhancing the capabilities of teams looking to leverage advanced AI technologies.

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.

EverOS is a memory and skills infrastructure platform built to give AI agents persistent context across sessions, tools, and deployment environments. Before an agent makes a model call, EverOS retrieves relevant memories and supplies the context needed for the current task without requiring the full history to remain in the prompt window. Its memory engine is designed for low-latency retrieval and supports persistent context across multiple agents and platforms. EverOS also provides self-evolving procedural memory through a system that records completed tasks as cases and consolidates repeated successful patterns into reusable skills. These skills can be shared across an agent team so useful behaviors improve over time without requiring every workflow to be manually hardcoded. The platform supports multimodal ingestion for PDFs, images, documents, spreadsheets, slides, Markdown files, and URLs through a unified workflow. EverOS integrates with Claude Code, Codex, OpenClaw, Hermes, MCP servers, and software built against OpenAI- or Anthropic-compatible interfaces. Developers can use EverOS Cloud or run the open source Apache 2.0 stack on their own infrastructure while keeping memories portable through Markdown export. EverOS is intended for AI application developers, agent platform teams, and enterprises that need durable memory, cross-agent knowledge sharing, and efficient context retrieval. EverOS achieves 93.05% on the LoCoMo long-term memory benchmark (research: arXiv:2601.02163).

Composio Instant serves as a cloud-based wallet that enables AI agents to access paid tools without the necessity for developers to subscribe to each service provider or individually configure API keys for every tool. By linking Instant to an agent session, developers can select the tools they wish to make available while utilizing a communal organization balance, with all transactions documented in execution logs. Each call deducts from this shared balance at a per-use fee, and newly registered developer organizations benefit from a one-time credit of $2 to get started. The platform offers a variety of services, such as web searching, data enrichment, web scraping, transcription, voice services, weather updates, and document processing. Developers can easily integrate by using Composio’s SDKs and MCP-compatible agent clients like Claude, ChatGPT, Codex, Cursor, Gemini CLI, Grok, and Visual Studio Code. Instant is specifically designed for developers and teams who are creating or managing AI agents that require immediate access to external services, thus streamlining the integration process. This functionality not only enhances efficiency but also allows for greater flexibility in the deployment of AI capabilities.

Elevate your API into a successful venture with our comprehensive API Hub. If you're looking to promote your APIs and enhance your API business, our platform can facilitate all your goals. The OpenAPIHub API Suite effectively connects with the rapidly expanding regional API hub community, fostering both marketing and adoption of APIs. Whether you are an independent API Provider, a Developer, or part of a larger organization, OpenAPIHub is dedicated to supporting your growth. From individuals and startups to established enterprises, we offer tailored plans to meet your specific needs. Our API Management solutions provide a range of flexible options designed to fit your requirements seamlessly. Additionally, the robust API Portal Builder allows you to create stunning, branded Developer Portals in just a few minutes, making it easier than ever to expand your API ecosystem and engage with the API Hub Community swiftly. By leveraging these tools, you can unlock your API's full potential and reach a wider audience.

SinoGate serves as a unified API gateway for developers aiming to leverage Chinese large language models via a single, OpenAI-compatible interface. By offering a single API key and endpoint, it allows seamless integration of various models like Qwen, DeepSeek, Kimi, and GLM, enabling existing applications to connect without needing to create separate interfaces for each specific provider. Developers have the flexibility to choose from multiple models to access features such as chat, text generation, and coding support. This service is tailored for international developers and software teams looking to incorporate Chinese LLMs into their projects efficiently. Utilizing cloud-based access and billing in USD through Stripe, the platform ensures a streamlined experience, although the availability and capabilities of supported models may differ. Additionally, SinoGate aims to simplify the development process and broaden the accessibility of advanced language model technology.

VibeiDE serves as a desktop environment tailored for developers who are managing AI coding agents across various projects. This application operates installed command-line tools such as Codex, Claude Code, and OpenCode, effectively organizing tasks within project queues while adhering to provider-specific limits on parallel operations, maintaining histories, and displaying real-time activity. When necessary, each task can utilize a distinct Git worktree, and completed tasks are gathered in a review queue that showcases results, diffs, and corresponding Git actions. The planning feature allows one agent to create a strategy for another agent to assess prior to implementation. Additionally, the app provides insights into usage statistics reported by providers and their respective reset times. VibeiDE integrates with the developer’s current provider accounts, keeping subscriptions, model fees, and provider restrictions independent. This application is available for macOS and Windows, with a Linux version currently in beta, specifically designed for developers who are juggling multiple coding endeavors and repository management. As a comprehensive tool, it streamlines the workflow and enhances productivity for those in the software development field.

pay.sh serves as a pay-per-use API access solution for agents and command lines, enabling seamless payment for any API with just a single command. It streamlines the process for agents utilizing paid APIs by allowing them to discover services, evaluate costs, make requests, and receive responses—all without the necessity of registration, account creation, or subscription. Tailored for the agentic economy, pay.sh addresses the challenge posed by traditional services that still require human intervention for account setups, plan selections, API key generation, and credit card integrations. By bridging this gap, pay.sh offers direct API calls that agents can easily discover, assess, and utilize. Additionally, it features a comprehensive directory for agents, developers, and API teams, facilitating API providers in publishing their services in a manner accessible to agents without requiring prior account creation. Agents can effortlessly explore the catalog, examine endpoints, and access pay-per-use services spanning various domains such as AI/ML, maps, data, search, messaging, compute, storage, and crypto/finance, thereby enhancing their operational efficiency and flexibility. Ultimately, pay.sh is revolutionizing the way agents interact with APIs by simplifying the entire process.

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.

Epho transforms coding agents into a versatile API, enabling developers to execute Claude Code, Codex, or OpenCode in secure cloud sandboxes via a singular HTTP endpoint. Users can submit prompts, select a harness and model, link repositories and files, connect to MCP servers, and provide environment variables or provider credentials; Epho will then initiate the environment, replicate the code, integrate the necessary tools, and stream the agent's progress in real-time. The system supports both synchronous runs, which can deliver live events, tool calls, edits, final outputs, and artifacts, as well as asynchronous execution featuring polling and webhooks. Importantly, chat sessions are persistent, allowing subsequent interactions to continue from the same filesystem, checkout, agent session, system prompt, model, and MCP setup, even in the absence of the original sandbox. It accommodates private repositories from GitHub, GitLab, and Bitbucket, with agents capable of reading code, implementing changes, executing tests, and refining errors similarly to a local environment. Furthermore, every event is securely stored, ensuring that interrupted streams can reconnect seamlessly without any loss of data during a run. This robust architecture not only enhances productivity but also fosters a more efficient coding workflow.

Briefkin serves as a comprehensive cloud dashboard designed for the oversight of AI coding agents and automation tasks. It aggregates essential updates on progress, completed tasks, obstacles, decisions, and key metrics from various tools such as Claude Code, Codex, Cursor, OpenCode, and Gemini CLI, in addition to scripts and cron jobs, all neatly organized into distinct project cards. With the inclusion of live task checklists and real-time status updates, developers can seamlessly track their work across different sessions, and action requests can be addressed directly from the dashboard or via Telegram notifications. Users have the capability to transmit structured events using a well-documented HTTP API, design custom widgets, analyze metric trends, and execute scheduled routines on their local machines utilizing their preferred agents. Furthermore, a command-line installer facilitates the setup of supported agents, skills, and hooks, streamlining the entire process. Briefkin is targeted towards developers and independent creators who are managing multiple agents and automation workflows. Currently, the hosted service is available for free as part of its open beta phase, allowing users to explore its full range of features without any cost. As the platform evolves, user feedback is expected to play a crucial role in shaping its future enhancements and functionality.

QuiverAI is an AI design platform built around foundation models for generating, editing, vectorizing, and animating vector graphics. Its Arrow 2 model produces editable SVG assets from natural-language prompts and visual references, allowing generated designs to remain structured rather than becoming static images. The platform supports use cases including logo creation, vector illustrations, brand assets, UI graphics, and other scalable design elements. QuiverAI can also convert existing images into SVG files, making it useful for transforming raster references into editable vector artwork. Designers can modify generated paths, colors, shapes, and other elements using standard vector design workflows. Developers can use QuiverAI's API for text-to-SVG and image-to-SVG generation as well as model metadata and OpenResponses-compatible interactions. The developer platform includes SDKs, rate-limit information, request tracing, sandbox keys, and a CLI that can install generated SVGs directly as React components. QuiverAI also provides an MCP server and integrations for agent-based development environments such as Cursor and Codex. The platform is intended for designers, creative software developers, agencies, product teams, and businesses that want AI-assisted vector creation with editable and production-oriented outputs.

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.

past.dev provides a memory API designed for developers who are creating AI agents and applications with long-term memory capabilities. This service allows applications to submit timestamped text from various sources such as conversations, emails, meetings, support records, CRM notes, and documents, from which it extracts memories and delivers ranked results along with corresponding dates and excerpts from the original data. The API includes features for ingestion, bulk ingestion, memory recall, deletion, project and identity management, as well as audience-specific access controls and webhooks. Developers have the option to connect via JSON endpoints or secure Model Context Protocol servers, and can enhance their experience with companion plugins compatible with tools like Claude Code, Codex, Cursor, JetBrains IDEs, and Hermes Agent. As a managed cloud solution, it provides a user-friendly console for managing API keys, monitoring usage, and reviewing request logs; additionally, it offers enterprise deployments that can be hosted on a customer's AWS, Google Cloud, or Azure account. This innovative platform is particularly beneficial for software teams looking to integrate lasting, source-based memory into their AI agents and applications, thereby enhancing the overall functionality and user experience. Ultimately, past.dev aims to facilitate smarter interactions and improve knowledge retention in AI-driven systems.

TwitterAPIs serves as a hosted data API for Twitter/X, catering to developers, researchers, data teams, and those constructing AI agents. It features REST endpoints that facilitate searches for posts, retrieval of tweet details and threads, access to user profiles and timelines, as well as management of followers, following, lists, and trends. Utilizing bearer-key authentication, the API returns data in JSON format and offers comprehensive documentation through its OpenAPI specification. Users can easily integrate it with MCP-compatible assistants via its MCP server or utilize it through automation platforms via HTTP calls. Additionally, linked-account endpoints enable users to perform actions like posting, liking, and following other accounts. Standard reading requests are charged on a per-request basis, with certain endpoints incurring higher fees; however, new users are granted usage credits. Operating as an independent third-party service, TwitterAPIs is not connected to X and provides essential support for application development, social data gathering, monitoring capabilities, and AI agent workflows that necessitate access to X data without requiring a developer account with X. This makes it a versatile tool for those looking to leverage Twitter’s data in various innovative ways.

DigitalAPI is a comprehensive API lifecycle management platform that unifies how organizations handle APIs, events, and integrations across multiple gateways and cloud environments. It provides a centralized control plane for API discovery, governance, deployment, and monetization, reducing complexity and improving efficiency. The platform features a lightweight API gateway that allows rapid deployment without heavy development effort. It also includes a developer portal that simplifies API access and onboarding for internal and external users. DigitalAPI offers an external API marketplace where businesses can monetize their APIs and create new revenue streams. Its multi-cloud and multi-gateway capabilities ensure seamless integration and governance across distributed systems. The platform incorporates AI-ready features, enabling automation and interaction with APIs using natural language. It also provides analytics and reporting tools for tracking API usage and performance. With strong governance and security controls, organizations can maintain compliance and reduce risks. Overall, DigitalAPI empowers businesses to modernize their API ecosystem and scale efficiently.

Rune is an efficient, keyboard-centric integrated development environment designed for advanced users, seamlessly integrating code, terminals, command-line tools, language intelligence, debugging capabilities, and AI agents within a flexible, multi-workspace framework. Adhering to the Unix philosophy, it ensures that robust development resources are readily accessible, avoiding the need for a mouse-based workflow. The IDE features three distinct editing modes: a standard editor aimed at users familiar with VS Code, Cursor, or Sublime; a modal editing option for Vim and Neovim enthusiasts; and an Emacs-style interface, with consistent keybindings across the platform. Workspaces are designed to amalgamate files, terminals, tasks, debugging tools, search functionalities, and language intelligence, capable of operating both locally and on remote servers. Rune Agent operates within the same workspace as the code, enabling it to read and modify files, search through the codebase, execute commands, utilize various tools, and engage in comprehensive dialogues. Moreover, it offers support for a range of AI models including OpenAI, Codex, Anthropic, Claude, Gemini, Amazon Bedrock, local models, and custom OpenAI-compatible endpoints, enhancing its versatility for developers. This combination of features makes Rune a powerful ally for programmers looking to streamline their development processes.

Constellation Gate AI serves as an auxiliary defense mechanism for AI agents, positioned strategically between the agent and the model to filter all requests for potential threats and data leaks. This solution functions as an inline gateway for coding agents and model APIs, ensuring protection of workflows while eliminating the need for significant code modifications. Users can direct existing tools such as Claude Code, Cursor, OpenClaw, Codex, or OpenCode to utilize Gate, thereby gaining access to defenses against prompt injection, secret detection, PII redaction, token optimization, and a reliable audit trail. The platform specifically addresses three critical vulnerabilities: prompt injection attacks, leakage of credentials and PII, and unauthorized tool calls. Rather than depending on the model's self-defense mechanisms, Gate preemptively intercepts attacks before they penetrate the model, removes sensitive information prior to the return of responses, and prevents outputs from compromised tools before an agent can act on them. Gate is compatible with the existing calls made by agents, relaying them to the model while meticulously scanning each request and response in both directions, ensuring comprehensive protection against emerging threats. This proactive approach not only enhances security but also instills confidence in users about the integrity and safety of their AI workflows.

Run BiOS offers a serverless and OpenAI-compatible inference solution that allows you to direct the OpenAI SDK towards its endpoint, enabling you to maintain your existing code. It features six model families—Claude, DeepSeek, GLM, Kimi, MiniMax, and Qwen—alongside a bios-adaptive system that optimizes each request for quality, speed, and budget while adhering to a specified price ceiling. Both prompts and responses are temporarily stored in memory and removed once the request is fulfilled, ensuring there are no request logs, content stores, or archives retained. Additionally, fine-tuning and dedicated GPU endpoints can be accessed under the same account if you later decide to obtain ownership of the weights, with billing occurring per second of GPU usage. The pricing structure is based on your consumption from a prepaid balance, calculated per million tokens, and the endpoint will pause instead of accumulating debt if your balance depletes.

Modelflare serves as a hosted AI API gateway designed for developers who create applications, agents, and workflows that leverage models from various providers, such as GPT, Claude, Gemini, Grok, and DeepSeek. It offers a unified API key and a console that supports OpenAI-compatible chat and responses, Anthropic messages, along with unique interfaces for images and videos specific to each provider. Developers have the flexibility to analyze different models and routing groups, establish primary routes, and define ordered fallback groups, or they can utilize Smart API Keys to strategically choose among the available routes based on their preferred routing methods. Furthermore, API keys can be organized by project, allowing for management through controls like quotas, expiration dates, and restrictions based on model or IP. The service also meticulously tracks usage at the request level, including token counts, routing specifics, and associated costs, with pricing tailored to the chosen model, group, and billing unit. Comprehensive documentation is provided, featuring setup guides for SDKs, coding agents, plugins, and workflow tools, ensuring developers have the necessary resources to maximize their use of the platform. Overall, Modelflare simplifies the integration of multiple AI models into a cohesive environment, enhancing developers' productivity and creativity.

GenMagic serves as a comprehensive AI studio and API that consolidates over 450 models from more than 60 providers into a single account with a flexible pay-as-you-go system. Users can produce various forms of content, including images, videos, speech, music, text, code, SVGs, and web pages, all within one unified platform. Developers have the option to access the same models through an OpenAI-compatible REST API for tasks involving chat, images, audio, and video, or utilize a remote MCP server for AI agents such as Claude and Cursor. Additionally, a dynamic catalog provides real-time pricing for each model, with costs reported for every call, and video charges are incurred only after a clip has been finalized. Notably, there are no subscription fees; users simply add credits and pay for each creation. Furthermore, GenMagic seamlessly integrates with tools like n8n, Zapier, Dify, and Postman, enhancing its versatility and ease of use for various applications. This makes it an ideal solution for developers and creators looking to leverage advanced AI capabilities without the constraints of traditional pricing models.

Osaurus is an innovative AI platform designed for macOS, enabling users to operate open models directly on their Mac while also providing the option to access cloud models for enhanced performance and share memory seamlessly between them. Developed using Swift specifically for Apple Silicon, it allows for complete offline functionality with local models through interfaces like Ollama, MLX, or LM Studio, ensuring that conversations, code, files, settings, agents, skills, and provider keys remain stored on the device unless the user opts for a cloud service. A convenient system-wide chat overlay grants users quick access to the AI from any application, and users can establish distinct agents tailored for various tasks such as coding, research, and file management, with each agent maintaining its own prompt, history, and memory. Osaurus intelligently synthesizes previous conversations into pertinent information, loads necessary skills for specific tasks, and provides agents with targeted access to relevant folders, file search capabilities, Git, and other essential tools. Additionally, agents operate within a secure sandbox environment, can delegate tasks to subagents, adhere to scheduled operations, react to changes in folders, utilize voice commands, and even create images, showcasing the platform's versatility and robust feature set. This comprehensive approach not only enhances productivity but also empowers users to customize their workflows efficiently.

Ultramarine 1 Flash is a powerful hosted large language model that developers and organizations can access via an API, specifically tailored for enhancing AI-driven professional workflows. It caters to various knowledge work sectors including finance, law, consulting, and operations, facilitating tasks such as research, detailed analysis, and the preparation of documentation. Users can submit prompts to the application and receive either streamed or standard responses, while also utilizing reasoning controls, custom tool calls, and the option to request structured outputs. The API is capable of processing image inputs and is compatible with both OpenAI's chat-completion formats and Anthropic Messages, ensuring versatile integration. Developers can interface with the model through several SDKs, including those from OpenAI and Anthropic, as well as the Claude Agent SDK and Claude Code, and can effectively employ it alongside Paper Instruments' suite of tools for Word, PowerPoint, and Excel. Additionally, the billing structure is based on token usage against a prepaid balance, allowing for flexible financial management of resources. This model represents a significant step forward in the automation of high-level professional tasks, pushing the boundaries of what AI can accomplish in workplace settings.