agent-receipts
An MCP server that provides append-only, tamper-evident local receipts for AI agent actions, capturing command executions, outputs, and handoff evidence.
README
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agent-receipts
Append-only local receipts for AI agent actions: capture commands, outputs, and handoff evidence, then expose them to agents over MCP.
<img src="demo.gif" alt="Demo" width="700" />
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🎯 Why?
Trending agent projects increasingly mention evidence logs, verifiable handoffs, and agent observability, but most solutions are large frameworks or platform-specific hubs. Developers using Claude Code, Codex, OpenCode, or custom agents need a tiny local-first tool that simply records what happened and proves it was not edited. agent-receipts fills that gap with a zero-depend CLI plus a minimal MCP adapter.
Target audience: Developers running AI coding agents, agent-framework authors, and platform/security engineers who need lightweight local audit trails, reproducible handoffs, and evidence that an agent really ran a command or completed a step.
✨ Features
- ✨ Capture command executions with stdout/stderr tails, exit codes, duration, cwd, agent, session, and tags
- ✨ Append-only hash-chained JSONL receipts with tamper detection via verify
- ✨ Manual evidence notes for handoffs, plus search/export and a minimal MCP stdio server
🚀 Quick Start
# Install
pip install agent-receipts
# Run
agent-receipts --help
📦 Installation
From Source
git clone https://github.com/YOUR_USERNAME/agent-receipts.git
cd agent-receipts
# Create virtual environment
python -m venv .venv
source .venv/bin/activate # Windows: .venv\Scripts\activate
# Install in development mode
pip install -e ".[dev]"
# Run tests
pytest -v
🎬 Demo
The GIF above was recorded using Charm VHS:
vhs < demo.tape
📖 Usage
# Show help
agent-receipts --help
# Common usage examples
agent-receipts --example
🏗️ Architecture
graph LR
A[Input] --> B[Core Engine]
B --> C[Output]
B --> D[Plugins]
D --> E[Extensions]
🤝 Contributing
Contributions are welcome! Please:
- Fork the repo
- Create a feature branch (
git checkout -b feature/amazing-feature) - Commit your changes (
git commit -m 'Add amazing feature') - Push to the branch (
git push origin feature/amazing-feature) - Open a Pull Request
📄 License
MIT © 2026 — See LICENSE for details.
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