ContextFind — Search your local AI coding sessions
Instantly find and resume any past Claude Code / Codex session across projects and machines.
- Problem
- Heavy users of Claude Code, Codex and similar local AI harnesses accumulate session transcripts scattered across project folders and machines. Recovering that one conversation about a migration script means digging through shell history and files. Someone already hand-built a local cross-project, cross-machine search-and-resume tool, which proves the pain is real and currently self-solved.
- Solution
- A local daemon indexes session files and transcripts from popular harnesses, exposing full-text search from a CLI and a lightweight GUI. Users filter by keyword, project, time or file, then resume in-context or copy the thread into any harness to continue. Everything stays offline and local by default.
- Users
- Indie developers and small teams who use two or more AI coding harnesses across multiple machines daily.
- MVP
- Local scan plus full-text index, starting with just Claude Code and Codex directory layouts; a CLI command that outputs matching session summaries and paths; one-shot resume command printing; plain-text index stored in the user's home with a clear wipe option.
- Revenue
- Free open-source CLI for distribution; Pro subscription at $5–8/month adds cross-machine sync via user's own object storage, semantic search, tagging and team-shared indexes.
- Why now
- AI coding harnesses are proliferating, session fragmentation is just beginning, and no accepted retrieval layer exists yet. A local index needs no API or cloud and can ship in one to two weeks.