trailhq/Trail-Code

Turbocharge Claude Code, Cursor, Codex, Gemini & every coding agent: faster, cheaper, with contextual understanding specific to your codebase.

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Trail-code gives Claude Code, Cursor, Codex and other coding agents a map of your code, and what your team has learned about it. Same model, more tasks solved. On SWE-bench Verified (real GitHub issues, graded by the maintainers' own tests), Claude Sonnet 5 solved 33 of 50 issues with the graft map and 27 of 50 without it, using 23% fewer tokens. Details Cheaper and faster. Across 162 runs of the same agent on the same tasks: 32% lower cost, 42% fewer uncached input tokens, 60% less time, and the same share of correct answers. On PocketBase, 15 real tasks ran 21% cheaper and 14% faster. Details Trail-code has two parts. Both run on your machine. The graft map tells your agent where things are. Learnings tell it why they are that way, and how the work gets done here. That is the whole setup. trail init asks which of…

trailhq/Trail-Code on GitHub A short preview, not the full document.

Read the full README ↗ · Preview checked 2026-10-29T08:30:51.630Z

Inside the original README — Document outline
  1. The self-learning context layer for coding agents.
  2. 46% fewer tool calls, 60% less time, and more real issues solved.
  3. What changes in your agent
  4. Contents
  5. How it works
  6. Quick start
  7. Coming from graft?
  8. Part 1: The graft map
  9. Part 2: Learnings
  10. Learnings and skills, three places
  11. One decision, two teammates
  12. A learning is a file

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What this repository does

Turbocharge Claude Code, Cursor, Codex, Gemini & every coding agent: faster, cheaper, with contextual understanding specific to your codebase.

Repository facts

Owner
trailhq
Primary language
TypeScript
Stars
10,999
Forks
976
Open issues + pull requests
277
License
MIT
Archived
No
Default branch
main
Created
2026-07-03T13:44:21.000Z
Last push
2026-10-31T11:24:59.000Z

Topics and intended use

Owner-supplied topics: ai-agents, anthropic, claude-code, cli, code-graph, codex, context-engineering, cursor, developer-tools, gemini, knowledge-graph, llm, mcp, mcp-server, open-source, openai, tree-sitter

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