earendil-works/pi

▲ 437 stars today★ 105,595⑂ 13,272

AI agent toolkit: unified LLM API, agent loop, TUI, coding agent CLI

105,595Star
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MITLicense
Created 2025-08-09 · last push 2026-09-15 · repository size 73092 KB · default branch main

README

https://github.com/earendil-works/pi/blob/HEAD/pi logo

https://github.com/earendil-works/pi/blob/HEAD/Discord https://github.com/earendil-works/pi/blob/HEAD/npm

New issues and PRs from new contributors are auto-closed by default. Maintainers review auto-closed issues daily. See CONTRIBUTING.md.

Pi Agent Harness

This is the home of the Pi agent harness project including our self extensible coding agent.

To learn more about Pi:

All Packages

| Package | Description | |---------|-------------| | @earendil-works/chord | Standalone application-composition runtime for services, replicated state, RPC, and plugins | | @earendil-works/pi-telemetry | Vendor-neutral telemetry contracts, reference adapter, conformance tests, and typed schemas | | @earendil-works/pi-ai | Unified multi-provider LLM API (OpenAI, Anthropic, Google, etc.) | | @earendil-works/pi-agent-core | Agent runtime with tool calling and state management | | @earendil-works/pi-coding-agent | Interactive coding agent CLI | | @earendil-works/pi-tui | Terminal UI library with differential rendering |

For Slack/chat automation and workflows see earendil-works/pi-chat.

Permissions & Containerization

Pi does not include a built-in permission system for restricting filesystem, process, network, or credential access. By default, it runs with the permissions of the user and process that launched it.

If you need stronger boundaries, containerize or sandbox Pi. See packages/coding-agent/docs/containerization.md for three patterns:

Contributing

See CONTRIBUTING.md for contribution guidelines and AGENTS.md for project-specific rules (for both humans and agents). Longer term plans for Pi can also be found in RFCs.

Development

npm install --ignore-scripts  # Install all dependencies without running lifecycle scripts
npm run build         # Refresh model data, then build all packages
npm run build:offline # Rebuild using existing model data without network access
npm run check         # Lint, format, and type check
./test.sh            # Run tests (skips LLM-dependent tests without API keys)
./pi-test.sh         # Run pi from sources (can be run from any directory)

Building standalone binaries from release source

GitHub releases include a versioned source archive covered by the release's SHA256SUMS file. Extract it and run the same build script used for the official standalone binaries:

VERSION=""
tar -xzf "pi-${VERSION}-source.tar.gz"
cd "pi-${VERSION}"
./scripts/build-binaries.sh --offline-model-data --platform linux-x64 --out "$PWD/out"

The archive includes release model data and native prebuilds. --offline-model-data uses that model data without refreshing provider catalogs. The script installs dependencies and builds the executable with its runtime assets; pass --skip-install if dependencies are already provided.

Supply-chain hardening

We treat npm dependency changes as reviewed code changes.

Share your OSS coding agent sessions

If you use Pi or other coding agents for open source work, please share your sessions.

Public OSS session data helps improve coding agents with real-world tasks, tool use, failures, and fixes instead of toy benchmarks.

For the full explanation, see this post on X.

To publish sessions, use badlogic/pi-share-hf. Read its README.md for setup instructions. All you need is a Hugging Face account, the Hugging Face CLI, and pi-share-hf.

You can also watch this video, where I show how I publish my pi-mono sessions.

I regularly publish my own pi-mono work sessions here:

License

MIT

pi.dev domain graciously donated by

https://github.com/earendil-works/pi/blob/HEAD/Exy mascot
exe.dev

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