This adds codemode and MCP support to pi. Codemode (packages/codemode) runs model-written JavaScript in a QuickJS wasm VM inside a worker. From there the script calls pi's tools as async functions, uses a per-session store, and can read the model catalog and run classifiers. The codemode tool in coding-agent is compatible with Codex's exec tool, and codemode.mode works like Codex's tool modes (on or only). Large results are written to a JSON temp file. MCP (packages/mcp) is a standalone client for stdio and streamable HTTP servers, with OAuth. The core only gets general mechanisms; codemode, tool_search and MCP are built-in extensions that use them. Other extensions can replace these built-ins. Tools declare an exposure: direct, model-only, codemode, deferred or hidden. prepareLoadout() lets an orchestrating tool change which tool declarations the model sees. ctx.executeTool() runs nested calls through validation and the tool_call/tool_result hooks. Those calls emit events with parentToolCallId and are recorded as bounded nestedCalls on the parent result, which compaction and HTML export use. Tools can also return structuredContent with an outputSchema, and can report errors with isError instead of throwing. MCP servers come from mcp.json (global, or per project after the project is trusted) or from pi.registerMcpServer(). They are managed with /mcp and pi mcp list|login|logout, and their runtimes load on first use. Closes #10040 |
||
|---|---|---|
| .github | ||
| .husky | ||
| .pi | ||
| packages | ||
| scripts | ||
| .gitattributes | ||
| .gitignore | ||
| .npmrc | ||
| AGENTS.md | ||
| biome.json | ||
| CONTRIBUTING.md | ||
| LICENSE | ||
| mini-test.sh | ||
| package-lock.json | ||
| package.json | ||
| pi-test.bat | ||
| pi-test.ps1 | ||
| pi-test.sh | ||
| README.md | ||
| SECURITY.md | ||
| test.sh | ||
| tsconfig.base.json | ||
| tsconfig.json | ||
| tui-plan.md | ||
| vitest.base.ts | ||
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.
- @earendil-works/pi-coding-agent: Interactive coding agent CLI
- @earendil-works/pi-agent-core: Agent runtime with tool calling and state management
- @earendil-works/pi-ai: Unified multi-provider LLM API (OpenAI, Anthropic, Google, …)
To learn more about Pi:
- Visit pi.dev, the project website with demos
- Read the documentation, but you can also ask the agent to explain itself
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-durable | Durable conversation, task, and document runtime |
| @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:
- Gondolin extension: keep
piand provider auth on the host while routing built-in tools and!commands into a local Linux micro-VM. - Plain Docker: run the whole
piprocess in a local container for simple isolation. - OpenShell: run the whole
piprocess in a policy-controlled sandbox.
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="<release-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.
- Direct external dependencies are pinned to exact versions. Internal workspace packages remain version-ranged.
.npmrcsetssave-exact=trueandmin-release-age=2to avoid same-day dependency releases during npm resolution.package-lock.jsonis the dependency ground truth. Pre-commit blocks accidental lockfile commits unlessPI_ALLOW_LOCKFILE_CHANGE=1is set.npm run checkverifies pinned direct deps, native TypeScript import compatibility, and the generated coding-agent shrinkwrap.- The published CLI package includes
packages/coding-agent/npm-shrinkwrap.json, generated from the root lockfile, to pin transitive deps for npm users. - Release smoke tests use
npm run release:localto build, pack, and create isolated npm and Bun installs outside the repo before tagging a release. - Local release installs, documented npm installs, and
pi update --selfuse--ignore-scriptswhere supported. - CI installs with
npm ci --ignore-scripts, and a scheduled GitHub workflow runsnpm audit --omit=devplusnpm audit signatures --omit=dev. - Shrinkwrap generation has an explicit allowlist for dependency lifecycle scripts; new lifecycle-script deps fail checks until reviewed.
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