cocoindex-code

AST-based semantic code search for coding agents: pipx install, zero config, local embeddings out of the box — a CLI/skill/MCP that cuts agent context ~70% vs grepping. Built on CocoIndex.

2,549 203 Python Apache-2.0updated 4 days ago

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Curator's take

The lowest-friction entry in the code-context-server category: one pipx install, zero config, and the [full] variant ships local embeddings so there's no API key before first search. AST-aware chunking plus the CocoIndex engine underneath means the index stays fresh incrementally instead of rebuilding. Integrates as a skill or MCP with Claude Code, Codex, Cursor. NOT the deepest graph: it's semantic search, not call-graph analysis — no callers/blast-radius queries (that's TokenSave or codegraph-mcp territory) — and the slim install quietly requires a cloud embedding key while [full] costs ~1GB of torch.

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README.md

cocoindex code

AST-based semantic code search that just works

effect

A lightweight, effective (AST-based) semantic code search tool for your codebase. Built on CocoIndex — a Rust-based ultra performant data transformation engine. Use it from the CLI, or integrate with Claude, Codex, Cursor — any coding agent — via Skill or MCP.

Instant token saving by 70%.
1 min setup — install and go, zero config needed!

🌟 Please help star CocoIndex if you like this project!

Get Started — zero config, let's go!

Install

Using pipx:

pipx install 'cocoindex-code[full]'          # batteries included (local embeddings)
pipx upgrade cocoindex-code                  # upgrade

Using uv:

uv tool install --upgrade 'cocoindex-code[full]'

Two install styles — they mirror the Docker image variants of the same names:

cocoindex-code[full] — batteries-included. Pulls in sentence-transformers so local embeddings (no API key required) work out of the box. The ccc init interactive prompt defaults to Snowflake/snowflake-arctic-embed-xs.
cocoindex-code (slim) — LiteLLM-only; requires a cloud embedding provider and API key. Use when you don't want the local-embedding deps (~1 GB of torch + transformers).

Next, set up your coding agent integration — or jump to Manual CLI Usage if you prefer direct control.

Coding Agent Integration

This repository is a single plugin marketplace (.claude-plugin/marketplace.json) consumed by both Claude Code and Grok — same plugin id cocoindex-code, same ccc skill. Grok o

Continue your stack

What teams reach for next — and why each earns a place beside cocoindex-code. Ranked by curator confidence.

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tokensave

Code-intelligence MCP server for coding agents — a pre-indexed semantic graph (libSQL + FTS5) they query instead of grepping: symbols, callers, impact radius in one call. 100% local, 50+ languages.

Why it fitsSame job — replace agent grepping with a pre-built local index. TokenSave answers structural questions (symbols, callers, impact radius) from a semantic graph; cocoindex-code answers 'where is the code that does X' via AST-chunked embedding search.

codegraph-mcp

No-train, on-prem code knowledge graph served to AI agents over MCP — symbols, call edges, cross-language links and blast-radius queries, with a hash-chained audit log of every read.

Why it fitsBoth serve codebase context to agents over MCP. codegraph-mcp builds a cross-language knowledge graph with audit logging for on-prem rigor; cocoindex-code trades graph depth for zero-config semantic search that installs in a minute.

Built with / on

cocoindex

Rust-core incremental indexing engine: declare Target = F(Source) in Python and it keeps vector/graph/relational targets fresh forever, reprocessing only the delta — with per-row lineage.

Why it fitsBuilt on CocoIndex by the same team — the flagship application of the incremental indexing engine, which keeps the code index fresh by reprocessing only the delta.