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Observal

Observal is self-hosted registry for your coding agent extensions with a built in insight engine. Setup Observal, define the scope and share your Skills, MCPs and Agents with…

Install

$git clone https://github.com/Observal/Observal

Install command taken from the project's README or registry entry. Always review code before running it.

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Observal is the control plane and system of record for internal coding agent resources

Set up once, and let your coding agent use Observal through observal-cli.


If you find Observal useful, please consider giving it a star. It helps others discover the project and keeps development going.


What is Observal and what does it solve?

Observal is the control plane and system of record for internal internal coding agent resources. Every tech-forward organization today creates internal Skills, Agents files, MCP clients. Though the creation of these coding agent resources has been prolific, peer adoption and usage is sparse. Coding agent users today end up creating their own version of such resouces without reusing existing packages.

The cause is largely due to two problems:

  1. Lack of a discoverability layer

    Organizations store their coding agent resources in siloed git repositories with little to no documentation. Users are not able to locate existing coding agent resources and this results in multiple developers creating the same/similar resources again.

  2. Missing feedback loop

    Any software where usage patterns are not understood and the principle of user-centric development is violated tends to fade out. Such is the problem with development of MCP clients, Skills and Agent files. Authors publish and maintain these resources with little visibility into how they're actually used. Additionally, Coding agent failures don't trigger static error codes: they hallucinate or provide subtly incorrect answers. This leaves users clueless about what went wrong compounding the feedback problem.

Observal solves this by providing a centralized discovery layer for coding agent resources alongside useful insights into usage patterns. It turns silent failures into actionable feedback, ensuring internal resources are continuously optimized for the people using them.

Observal supports Claude Code, Cursor, Kiro, Pi, Copilot, Codex, OpenCode, and other tools.

Why teams use Observal

  • Centralize resources into one platform: Store Skills, MCP clients, hooks, prompts, agent files and sandboxes in one registry.
  • Run a governed registry: Review submissions, approve internal agents, inspect version diffs, and give developers one trusted place to install from.
  • Render across multiple Coding IDE/CLI: Generate the correct config for each supported harness instead of maintaining separate setup instructions for every harness.
  • Let agents use each other: Every approved resource is discoverable over the open ARD standard, and a running agent can hand part of its task to another approved agent, whether it lives in the registry or is a remote A2A service.
  • Learn what works: Use real adoption and session data to find which agents, tools, prompts, and workflows are helping teams.
  • Replay sessions when needed: Use traces as evidence for debugging, review, audits, and deeper analysis.

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