A framework-agnostic, git-native standard for defining AI agents. Clone a repo, get an agent.
Every AI framework has its own structure. There's no universal, portable way to define an agent that works across Claude Code, OpenAI, LangChain, CrewAI, and AutoGen. gitagent fixes that.
- Git-native — Version control, branching, diffing, and collaboration built in
- Framework-agnostic — Export to any framework with adapters
- Compliance-ready — First-class support for FINRA, Federal Reserve, and SEC regulatory requirements
- Composable — Agents can extend, depend on, and delegate to other agents
Four architectural patterns emerge when you treat agents as git repos:
When an agent updates memory or learns a new skill, it creates a branch + PR for human review before merging to main. Git's review workflow becomes your supervision layer.
Root-level context.md, skills/, tools/, and knowledge/ are automatically inherited by all sub-agents. One source of truth, no duplication.
Use git branches (dev → staging → main) to promote agent changes through environments, just like shipping software.
The knowledge/ folder stores entity relationships as a hierarchical tree with embeddings, letting agents reason over structured data at runtime.
# Install
npm install -g gitagent
# Create a new agent
gitagent init --template standard
# Validate
gitagent validate
# View agent info
gitagent info
# Export to system prompt
gitagent export --format system-promptmy-agent/
├── agent.yaml # [REQUIRED] Manifest — name, version, model, skills, tools, compliance
├── SOUL.md # [REQUIRED] Identity, personality, communication style, values
├── RULES.md # Hard constraints, must-always/must-never, safety boundaries
├── AGENTS.md # Framework-agnostic fallback instructions
├── skills/ # Reusable capability modules (SKILL.md + scripts)
├── tools/ # MCP-compatible tool definitions (YAML schemas)
├── knowledge/ # Reference documents the agent can consult
├── memory/ # Persistent cross-session memory
├── workflows/ # Multi-step procedures/playbooks
├── hooks/ # Lifecycle event handlers (audit logging, compliance checks)
├── examples/ # Calibration interactions (few-shot)
├── agents/ # Sub-agent definitions (recursive structure)
├── compliance/ # Regulatory compliance artifacts
├── config/ # Environment-specific overrides
└── .gitagent/ # Runtime state (gitignored)
The only file with a strict schema. Minimal example:
spec_version: "0.1.0"
name: my-agent
version: 0.1.0
description: A helpful assistant agentFull example with compliance:
spec_version: "0.1.0"
name: compliance-analyst
version: 1.0.0
description: Financial compliance analysis agent
model:
preferred: claude-opus-4-6
compliance:
risk_tier: high
frameworks: [finra, federal_reserve, sec]
supervision:
human_in_the_loop: always
kill_switch: true
recordkeeping:
audit_logging: true
retention_period: 7y
immutable: true
model_risk:
validation_cadence: quarterly
ongoing_monitoring: true| Command | Description |
|---|---|
gitagent init [--template] |
Scaffold new agent (minimal, standard, full) |
gitagent validate [--compliance] |
Validate against spec and regulatory requirements |
gitagent info |
Display agent summary |
gitagent export --format <fmt> |
Export to other formats (see adapters below) |
gitagent import --from <fmt> <path> |
Import (claude, cursor, crewai) |
gitagent run <source> --adapter <a> |
Run an agent from a git repo or local directory |
gitagent install |
Resolve and install git-based dependencies |
gitagent audit |
Generate compliance audit report |
gitagent skills <cmd> |
Manage skills (search, install, list, info) |
gitagent lyzr <cmd> |
Manage Lyzr agents (create, update, info, run) |
gitagent has first-class support for financial regulatory compliance:
- Rule 3110 — Supervision: human-in-the-loop, escalation triggers, kill switch
- Rule 4511 — Recordkeeping: immutable audit logs, retention periods, SEC 17a-4 compliance
- Rule 2210 — Communications: fair/balanced enforcement, no misleading statements
- Reg Notice 24-09 — Existing rules apply to GenAI/LLMs
- SR 11-7 — Model Risk Management: validation cadence, ongoing monitoring, outcomes analysis
- SR 23-4 — Third-Party Risk: vendor due diligence, SOC reports, subcontractor assessment
- Reg S-P — Customer privacy, PII handling
- CFPB Circular 2022-03 — Explainable adverse action, Less Discriminatory Alternative search
Run gitagent audit for a full compliance checklist against your agent configuration.
Adapters are used by both export and run. Available adapters:
| Adapter | Description |
|---|---|
system-prompt |
Concatenated system prompt (works with any LLM) |
claude-code |
Claude Code compatible CLAUDE.md |
openai |
OpenAI Agents SDK Python code |
crewai |
CrewAI YAML configuration |
lyzr |
Lyzr Studio agent |
github |
GitHub Actions agent |
git |
Git-native execution (run only) |
openclaw |
OpenClaw format |
nanobot |
Nanobot format |
# Export to system prompt
gitagent export --format system-prompt
# Run an agent directly
gitagent run ./my-agent --adapter lyzr# Extend a parent agent
extends: https://github.com/org/base-agent.git
# Compose with dependencies
dependencies:
- name: fact-checker
source: https://github.com/org/fact-checker.git
version: ^1.0.0
mount: agents/fact-checkerSee the examples/ directory:
examples/minimal/— 2-file hello world (agent.yaml + SOUL.md)examples/standard/— Code review agent with skills, tools, and rulesexamples/full/— Production compliance agent with all directories, hooks, workflows, sub-agents, and regulatory artifactsexamples/gitagent-helper/— Helper agent that assists with creating gitagent definitionsexamples/lyzr-agent/— Example Lyzr Studio integration
Full specification at spec/SPECIFICATION.md.
JSON Schemas for validation at spec/schemas/.
If you've built an agent using gitagent, we'd love to hear about it! Open a discussion or add a gitagent topic to your repo.
MIT
