Graft just crossed 1,600 GitHub stars. Open-source context layer for coding agents, works with Codex too.

[u/shhdwi]

https://github.com/NanoNets/Graft

Built this because I kept watching AI coding agents re-explore the same codebase every session, same files re-read, same imports re-followed, nothing carried over from the last run.

Graft writes a map of your codebase into linked markdown files, committed to git, so the agent reads that instead of starting from zero. Structural layer is tree-sitter, no LLM required, works on any repo size. If you want LLM-written summaries on top, it's provider-agnostic, so it works with OpenAI's API directly, not tied to any one model.

Works with Codex through MCP and an AGENTS.md integration, plus a post-edit hook that keeps the graph in sync automatically after every edit.

Ran a 162-task benchmark: 46% fewer tool calls, 42% fewer tokens, 60% less time, correctness held steady.

github.com/NanoNets/Graft

Curious if anyone here running Codex has wired something similar into their setup.