8562bcf66a
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 |
||
|---|---|---|
| .. | ||
| docs | ||
| examples | ||
| install-lock | ||
| scripts | ||
| src | ||
| test | ||
| .gitignore | ||
| CHANGELOG.md | ||
| npm-shrinkwrap.json | ||
| package.json | ||
| README.md | ||
| tsconfig.build.json | ||
| tsconfig.examples.json | ||
| vitest.config.ts | ||
New issues and PRs from new contributors are closed automatically. Maintainers review closed submissions daily. See CONTRIBUTING.md.
Pi
Pi is a minimal, extensible AI agent for the terminal. Adapt Pi to your workflow, not the other way around.
Ask Pi to create the prompt templates, skills, extensions, and themes you need, or install a Pi package. Use Pi directly, automate it in print, JSON, or RPC mode, or build applications with the TypeScript SDK.
Getting started
Install the command-line interface with npm:
npm install -g --ignore-scripts @earendil-works/pi-coding-agent
This requires Node.js 22.19 or newer. Pi does not require dependency lifecycle scripts for a normal npm installation.
On macOS or Linux, you can instead use the installer:
curl -fsSL https://pi.dev/install.sh | sh
Start Pi in the directory where you want it to work:
cd /path/to/project
pi
For a built-in AI provider, run /login inside Pi to connect a subscription or API key. Then give Pi a task.
See the documentation for full setup and usage instructions.
Development
Clone the repository, install its dependencies, and run Pi from source:
git clone https://github.com/earendil-works/pi
cd pi
npm install --ignore-scripts
./pi-test.sh
pi-test.sh can be called from any directory and preserves the caller's working directory.
Before submitting changes, run:
npm run check
./test.sh
Read CONTRIBUTING.md before opening an issue or pull request. It defines the contribution gate, issue quality bar, and required checks. Read AGENTS.md for repository-specific implementation, testing, dependency, and release rules.
License
MIT