The agent harness performance optimization system. Skills, instincts, memory, security, and research-first development for Claude Code, Codex, Opencode, Cursor and beyond.
Chunkhound
Your entire engineering context, deeply understood
Install
$
git clone https://github.com/chunkhound/chunkhoundInstall command taken from the project's README or registry entry. Always review code before running it.
README excerpt
Read full README on GitHub →Your entire engineering context, deeply understood.
Open-source codebase intelligence that gives agents and teams cited context across current code, git history, and technical web research.
Local-first · Dozens of languages & file types · Cited answers · Git history research · Pinpoint web research
Getting Started · Configuration · CLI Reference
Requirements
- Python 3.10+
- uv — install via
curl -LsSf https://astral.sh/uv/install.sh | sh - API keys (optional — regex search works without any):
AI writes code blind
Agents can generate code, but they still miss the context that makes software safe to change: how behavior flows across files, what changed across a branch or release, and which external constraints matter.
Reviewers, support, and product teams hit the same wall when large PRs, merge conflicts, bugs, and release notes need implementation-backed explanation instead of guesses.
ChunkHound turns current code, git history, and technical web research into cited context before anyone edits, reviews, debugs, or explains software.
Deep understanding for four context-heavy jobs
ChunkHound applies codebase understanding to the workflows where missing context hurts most.
Research before editing
Give coding agents grounded architecture context, relevant files, recent changes, and external constraints before they write code.
Understand large PRs and releases
Turn branch diffs, commit ranges, tags, and specific commits into cited engineering briefs for review, release notes, and changelog drafts.
Trace bugs and incidents
Turn symptoms, stack traces, and customer reports into likely code paths, recent changes, and external constraints.
Reconcile code with external docs
Pinpoint the technical docs, APIs, issues, and articles your implementation depends on, then connect that external evidence to local code research.
What you can ask
Ground an agent before edits
chunkhound research "How does authentication work?"
chunkhound search "JWT refresh token validation"
chunkhound research "What changed in auth recently?" --last-n 20
Understand a large PR or release
chunkhound research "Summarize the behavior changes on this branch for reviewers" --commit-range main..HEAD
chunkhound research "Draft changelog bullets for billing since v2.4" --commit-range v2.4..HEAD
chunkhound search "database migration" --commit-hash abc1234
Get context before resolving conflicts
chunkhound research "Why did auth session handling change on each side?" --commit-range main..feature/auth
chunkhound search "session refresh conflict" --last-n 50
Trace a bug with external constraints
chunkhound research "why would webhook retries fail?"
chunkhound research "what changed in webhook handling this week?" --last-n 30
chunkhound websearch "Stripe webhook retry schedule"
Explain product behavior
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