agent-receipts
Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@agent-receiptsrecord a receipt for the last agent command and its output"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
agent-receipts
Append-only local receipts for AI agent actions: capture commands, outputs, and handoff evidence, then expose them to agents over MCP.
🎯 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.
Related MCP server: GoLogX (logx-mcp)
✨ 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.
If this project helped you, please ⭐ star it!
This server cannot be deployed
Maintenance
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