Preloop
Description
The open-source AI agent control plane: MCP firewall, model gateway with budgets, human approvals, runtime observability, and audit trails
Installation
This entry records only its repository, not the path inside it, so there is no
exact command to give. Open the source below and copy the folder into
~/.claude/skills/, or the file into ~/.claude/agents/.
README
Preloop - The Open-Source AI Agent Control Plane
[](https://github.com/preloop/preloop/actions/workflows/ci.yml) [](https://github.com/preloop/preloop/releases/latest) [](https://pypi.org/project/preloop/) [](https://www.python.org/downloads/) [](LICENSE)
**Preloop is the open-source AI agent control plane.** It unifies an **MCP firewall** for tool access, an **AI model gateway** for cost, safety and attribution, **policy-as-code** with **human approvals**, **runtime session observability**, and **audit trails** - in a single self-hostable platform.
Use Preloop to **onboard existing agents** with one command, and to **deploy event-driven agentic automations** with governed tools and budgets.
**Works with [OpenClaw](https://github.com/openclaw/openclaw), Claude Code, Codex CLI, Cursor, Gemini CLI, [Hermes](https://github.com/nousresearch/hermes-agent), [OpenCode](https://github.com/sst/opencode), Windsurf, and any MCP-compatible agent or managed runtime.**
Run `preloop agents discover` and Preloop will find local agent configs, import representable MCP servers and model metadata, mint managed runtime credentials, and rewrite supported agents to route tool calls through the **Preloop MCP Firewall** and model traffic through the **Preloop Gateway**. For Agent Control, the CLI provisions the credential/config contract and can delegate plugin installation to the runtime marketplace, but the plugin is what keeps the live control channel connected.
Build automations with templates like the [Pull Request Revie
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