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Observal

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Description

Observal is an AI agent registry with first in class observabilty and eval framework

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

Observal

Discover, share, and monitor AI coding agents with full observability built in.

License Python Status Stars

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


Observal is a **self-hosted AI agent registry with built-in observability**. Think Docker Hub, but for AI coding agents.

Browse agents created by others, publish your own, and pull complete agent configurations — all defined in a portable YAML format that templates out to **Claude Code**, **Kiro CLI**, **Cursor**, **Gemini CLI**, and more. Every agent bundles its MCP servers, skills, hooks, prompts, and sandboxes into a single installable package. One command to install, zero manual config.

Every interaction generates traces, spans, and sessions that flow into a telemetry pipeline. The built-in eval engine scores agent sessions so you can measure performance and make your agents better over time.

Documentation

**Full docs live at [observal.gitbook.io](https://observal.gitbook.io/observal)** (sourced from [`/docs`](docs/) in this repo).

Start here Go to
5-minute install and first trace Quickstart
Understand the data model [Core Concepts](docs/g