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- TESIGN / RADAR
- REPOSITORY CARD
- trailhq/graft
trailhq/graft
Turbocharge Claude Code, Cursor, Codex, Gemini & every coding agent: faster, cheaper, with contextual understanding specific to your codebase.
RANKS Rising 30d #89
AT A GLANCE
- LANGUAGE
- TypeScript
- LICENSE
- MIT
- USAGE
- Use, change and redistribute, commercially too. Keep the notice.
- ACTIVITY
- last commit 3 days ago ()
- TOPICS
- ai-agents
- anthropic
- claude-code
- cli
- code-graph
- codex
- context-engineering
- cursor
- developer-tools
- gemini
- knowledge-graph
- llm
- HOMEPAGE
- https://graft.nanonets.ai
- REPOSITORY
- GitHub ↗
- CATEGORY
- AI
A summary, not legal advice.
README EXCERPT
Turbocharge Claude Code, Cursor, Codex, Gemini & every coding agent: faster, cheaper, with contextual understanding specific to your codebase. Up to 4× cheaper and 3× faster , with better or no loss of correctness. Metric Cold Claude Code Claude Code with graft --- --- --- Tool-call reduction Baseline +46% Token savings Baseline +42% Time savings Baseline +60% Correctness 54% 66% (+12 pts) This works beyond code too. A living skill file that learns from every task and gets sharper the more your team works. --- Contents - Quick start - The problem - What Graft does - Benchmark - SWE-bench Verified - How the graph gets built - Supported languages - What's in a node - What runs where - Agent integration — MCP server · Claude Code (deep integration) - CLI - Search & orient ( graft grep / graft map ) - Monorepos & multi-repo folders - Visualize it ( graft viz ) - Tested on your popular repos - Development - License --- Quick start That is the whole setup. graft init asks which of your coding agents to wire up, builds graft/ from your code, and drops a statusline and hooks into .claude/ , so from the next session on Graft rides along in Claude Code: it pulls the matching nodes into each…
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TIMELINE
- Repository created
- FIRST SEEN BY TESIGN ◌ BACK CATALOG
- Last push
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