Best AI Control Planes with a Free Trial of 2026

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.

Forest is an operational backend for regulated companies that need to run human teams, AI agents, BPOs, LLMs, workflows, and suppliers in one governed environment. The platform connects databases, compliance providers, internal tools, specialized agents, and external systems while keeping data inside the customer’s infrastructure. Forest provides the shared control plane where business logic, workflows, permissions, RBAC, smart actions, and audit trails are managed. Teams can use Forest to run regulated workflows on top of existing KYC and KYB providers such as Sumsub, Onfido, Veriff, Persona, and Trulioo. It supports onboarding workflows that combine identity verification, business registry checks, beneficial-owner discovery, document checks, screening, risk-based routing, agent triage, and human review. Forest’s MCP support lets AI agents call the same workflows used by human operators while attaching audit records to each action. The platform is designed for agentic operations in regulated environments where every action by humans, agents, BPOs, LLMs, and workflows must remain traceable. Forest also provides an implementation method that maps the company’s ecosystem, connects data and suppliers, designs operator journeys, and brings workflows into production. By combining governed workflows, live data access, MCP-based agent execution, auditability, permissions, and compliance controls, Forest helps regulated companies scale operations safely.

Maetra serves as an AI governance control plane tailored for teams managing tool-utilizing AI agents. It identifies agents and their associated repositories, assesses risks based on established frameworks, and reviews potential actions against versioned governance policies prior to execution. Additionally, it facilitates human approvals, monitors prompts and tool interactions for runtime vulnerabilities, ensures ongoing tasks remain aligned with authorized objectives, and maintains unalterable records of decisions for auditing purposes. The system features several modules, including Govern, Secure, Task Guard, Interaction Guard, Discover, Comply, Audit, and Decision Intelligence, which can function independently or as part of a cohesive control plane, enhancing overall operational efficiency and compliance. Ultimately, this integrated approach ensures robust management and oversight of AI agent activities within organizational frameworks.

WrangleAI is a robust platform designed for enterprises, providing essential oversight, control, and governance regarding their AI deployments and expenditures. Serving as a "control plane" for generative AI tools such as GPT-4, Claude, and Gemini, it allows organizations to track usage in real-time, gain insights into costs, monitor infrastructure, and implement spending limits to prevent excessive budgets. Additionally, WrangleAI enhances AI observability by enabling teams to discern which models are utilized, by whom, and for which objectives, while also offering intelligent workload routing to more economical models without compromising quality. The platform further incorporates governance mechanisms, including role-based access control and compliance assistance with standards like SOC 2 and ISO 27001, facilitating collaboration among finance, engineering, and leadership teams to enforce policies and receive actionable insights for optimizing AI investments. This comprehensive approach not only streamlines AI management but also empowers organizations to make informed decisions about their AI strategies.

Barndoor serves as a robust management layer for data and access, ensuring that artificial intelligence systems interact securely with enterprise data and infrastructure. Acting as a unified control center, it oversees AI agents and applications, empowering organizations to set policies, automatically enforce access rules, and retain comprehensive oversight of AI tool operations within business frameworks. Moving beyond traditional identity-based permissions, Barndoor employs context-aware governance, which allows administrators to dictate the allowed actions of an AI agent by considering variables such as the user in charge of the agent, the system being accessed, the nature of the data, and the task at hand. This system assesses each AI request in real time to apply policies before actions are undertaken, thereby thwarting unsafe or unauthorized operations from affecting internal systems or altering sensitive data. Furthermore, by integrating such a nuanced approach to governance, organizations can enhance both security and compliance, ultimately fostering a more trustworthy AI ecosystem.

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.

Paperclip.inc is an AI company orchestration platform that helps businesses manage AI agents like a structured team. Instead of running many separate AI tools manually, users can manage every agent, task, approval, and routine from one organized workspace. The platform supports popular AI models and agents, including Claude, Codex, Gemini, Cursor, DeepSeek, Qwen, Kimi, GLM, MiniMax, OpenCode, Hermes, and more. Paperclip.inc gives each task business context by connecting goals from the company level down to teams, agents, and individual work items. Built-in budget controls prevent overspending by pausing agent work when a spending cap is reached. Permission settings allow users to decide which agent actions are automatic, approval-required, or blocked. The system also includes immutable audit logs and one-click rollback so teams can review decisions and recover from unwanted changes. Recurring routines can run on schedule in the cloud, allowing work such as reporting, monitoring, and operational digests to continue around the clock. With pre-built AI companies, EU hosting, managed updates, and open-source control plane technology, Paperclip.inc helps organizations scale agentic work without losing visibility or governance.

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.