GitAgent

A git-native, framework-agnostic, open standard for defining AI agents. Version-controlled config that exports to Claude Code, OpenClaw, Lyzr Agent, Chimera, NanoBot, CrewAgent, and Agents SDK.

AI Agent Design Patterns Built on Git

A gitagent is your git repository as an agent — complete with version control, branching, pull requests, and collaboration built in. These are the architectural patterns that emerge when you define agents as git-native file systems.

• Human-in-the-Loop for RL Agents: When an agent learns a new skill or writes to memory, it can open a branch + PR for human review before merging.
• Agent Versioning: Every change to your agent is a git commit. Roll back broken prompts, revert bad skills, and explore past versions — full undo history for your agent, powered by git.
• Live Agent Memory: The memory/ folder holds a runtime/ subfolder where agents write live knowledge — dailylog.md, key-decisions.md, and context.md — persisting execution state across sessions.
• SkillsFlow: Deterministic, multi-step workflows defined in workflows/ as YAML. Chain skill:, agent:, and tool: steps with depends_on ordering, ${{ }} template data flow, and per-step prompt: overrides.
• Stateless Compute, Git as State: The VM is stateless. Git is the state. Agents run in ephemeral compute, committing every meaningful event — bootstrap, execute, checkpoint, teardown — to a runtime/<date>/<job-id> branch. Full audit trail, deterministic replay, and failure recovery — all from git history.
• Shared Context & Skills via Monorepo: Anything placed at the root — context.md, skills/, tools/ — is automatically shared across every agent in the monorepo. No duplication, one source of truth.
• Branch-based Deployment: Use git branches to promote agent changes through environments — just like shipping software.
• Knowledge Tree: The knowledge/ folder stores entity relationships as a hierarchical knowledge tree + embeddings — letting agents reason over structured data at runtime.
• Agent Forking & Remixing: Fork any public agent repo, customize its SOUL.md, add your own skills, and PR improvements back upstream — open-source collaboration for AI agents.
• CI/CD for Agents: Run gitagent validate on every push via GitHub Actions. Test agent behavior in CI, block bad merges, and auto-deploy to production — treat agent quality like code quality.
• Agent Diff & Audit Trail: git diff shows exactly what changed between agent versions. git blame traces every line to who wrote it and when — full traceability out of the box.
• Tagged Releases: Tag stable agent versions like v1.1.0. Pin production to a tag, canary new versions on staging, and roll back instantly if something breaks.
• Secret Management via .gitignore: Agent tools that need API keys or credentials read from a local .env file — kept out of version control via .gitignore. Agent config is shareable, secrets stay local.