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PI
PI

earendil-works / pi

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

TypeScript★ 112,850
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github.com/earendil-works/pi·Indexed at d4d74eb·8d ago·Up to date with upstream

About this codebase

Pi is the home of the Pi agent harness: it provides an end-to-end agent platform that consumes a target codebase plus agent/runtime configuration, runs an internal harness to plan and execute coding or service-oriented tasks, and produces persisted session artifacts (transcripts, patches, and indexed evidence) alongside user-facing outputs via server transports (HTTP/MCP), a TUI, and chat-style integrations. In practice, you interact with Pi through entry-point CLIs and servers, and it turns “what to do” into “what changed and why” by wiring together an agent core, durable session/state machinery, and shared evidence/indexing that downstream views can query.

Written by gpt-5.4-nano from the index

2,010 files and 17,839 symbols in 4 modules, led by TypeScript (1,731 files) and JavaScript (39).

Start reading

  • Knowledge graph2,010 files and how they depend on each other.→
  • AI Provider RegistryDocumentationDocumentation for packages/ai/src/providers, written by gpt-5.4-nano.→
  • Apply model samplingParams in direct stream()/complete() callsDecisionProposed decision, from a pull request.→

Code health

6.9out of 10Fair

This codebase scores 6.9 out of 10 for code health, which we rate fair. It also scores maintainability 7.2 and static performance 9.7 out of 10. The three are scored separately and never blended into one number. Risk is concentrated, as it usually is: 399 of 2,010 files are git hotspots, and they average 5.6 — which is where the fixes pay off most.

Full health report →

On the leaderboards:#3 of 6 Coding agents·#23 of 38 TypeScript repos

Do next

1 thing worth doing in the week to Sep 30, the last indexed commit, 1 of them now.

Now

  • Critical

    Clean up what this week's commits left: 71 serious findings in 43 files

    26 commits in the last 7 days added or worsened them, and they are still open. Start with packages/coding-agent/src/extensions/mcp/cli.ts, which has 3 critical.

    serious findings
    71
    critical
    14
    files
    43
    Large effort

Improve what Repowise can see

  • Add a test coverage report

    Without one, Repowise cannot tell tested code from untested code, so every test-related action says “unknown”.

    line coverage
    Unknown, no report
    Small effort
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  • get_overview()
  • get_answer("how is pi put together?")
  • get_why("why is pi structured this way?")

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Go deeper

  • OverviewEverything the index found, what changed this week, commits and decisions.→
  • DocumentationModule-by-module documentation, 1,733 pages, 45 written by a model.→
  • ArchitectureDependency graph, layers and third-party dependencies.→
  • Code healthEvery file's score, the findings behind it, tests and refactoring plans.→
  • CommitsEach commit's effect on code health, with agent provenance.→
  • ContributorsWho owns what, and where one person holds most of the knowledge.→
  • DecisionsArchitectural decisions mined from commits and pull requests.→
  • Ask this codebaseSign inGrounded answers over the indexed code.→

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How earendil-works/pi works

AI agent toolkit: unified LLM API, agent loop, TUI, coding agent CLI This page is a map of the earendil-works/pi repository, written primarily in TypeScript, rebuilt from the source each time it is indexed. Repowise parses every symbol, computes a dependency graph, scores per-file code health from complexity, duplication, test coverage and churn, mines git history for hotspots and ownership, and lifts the architectural decisions into documentation you can read here or query through MCP.

The codebase has 2,010 files and 17,839 symbols in 4 modules, led by TypeScript, JavaScript and Shell. Code health is 6.9 out of 10, rated fair.

Use the links above to open each view, or connect this repository to your agent for grounded answers inside Claude, Cursor, Codex or VS Code.