GitAgent – An open standard that turns any Git repo into an AI agent
We built GitAgent because we kept seeing the same problem: every agent framework defines agents differently, and switching frameworks means rewriting everything. GitAgent is a spec that defines an AI agent as files in a git repo. Three core files — agent.yaml (config), SOUL.md (personality/instructions), and SKILL.md (capabilities) — and you get a portable agent definition that exports to Claude Code, OpenAI Agents SDK, CrewAI, Google ADK, LangChain, and others. What you get for free by being git-native: 1. Version control for agent behavior (roll back a bad prompt like you'd revert a…
In plain words
GitAgent is an open standard that defines AI agents as files in a Git repository, enabling portable agent definitions across multiple frameworks including Claude Code, OpenAI Agents SDK, CrewAI, and LangChain. It uses three core files—agent.yaml for configuration, SOUL.md for instructions, and SKILL.md for capabilities—allowing developers to version control agent behavior, branch for environment promotion, implement human review via pull requests, and audit changes through Git history. It's designed for developers and teams who want to avoid framework lock-in and reuse agent definitions across different AI platforms.
written from the facts on this page · September 2026
From the sources
In the maker’s words, at launch
We built GitAgent because we kept seeing the same problem: every agent framework defines agents differently, and switching frameworks means rewriting everything. GitAgent is a spec that defines an AI agent as files in a git repo. Three core files — agent.yaml (config), SOUL.md (personality/instructions), and SKILL.md (capabilities) — and you get a portable agent definition that exports to Claude Code, OpenAI Agents SDK, CrewAI, Google ADK, LangChain, and others. What you get for free by being git-native: 1. Version control for agent behavior (roll back a bad prompt like you'd revert a bad commit) 2. Branching for environment promotion (dev → staging → main) 3. Human-in-the-loop via PRs (agent learns a skill → opens a branch → human reviews before merge) 4. Audit trail via git blame and git diff 5. Agent forking and remixing (fork a public agent, customize it, PR improvements back) 6. CI/CD with GitAgent validate in GitHub Actions The CLI lets you run any agent repo directly: npx @open-gitagent/gitagent run -r https://github.com/user/agent -a claude The compliance layer is optional, but there if you need it — risk tiers, regulatory mappings (FINRA, SEC, SR 11-7), and audit reports via GitAgent audit. Spec is at https://gitagent.sh, code is on GitHub. Would love feedback on the schema design and what adapters people would want next.
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