VioletCranberry/coco-search — Local-first hybrid semantic code search tool.
Description and use
**Project Summary**
VioletCranberry/coco-search is an open-source, local-first hybrid semantic code search tool that indexes codebases into PostgreSQL with pgvector embeddings. This tool supports 30+ languages and offers a CLI, MCP server, web dashboard, and interactive REPL, enabling connection of AI assistants to real tools and data through a standard protocol.
**Value Proposition**
The value proposition of VioletCranberry/coco-search lies in its ability to connect AI assistants to real tools and data through a standard protocol, enabling seamless integration and collaboration between AI agents and tools. This standardization facilitates the development of more efficient and effective AI-powered workflows.
**Practical Adoption Path**
To adopt VioletCranberry/coco-search, follow these steps:
- **Evaluate the tool**: Assess the project's implementation signals, such as API/SDK/CLI, language metadata, and focused topics, to understand its capabilities and limitations.
- **Integrate with AI assistants**: Use the provided MCP server or web dashboard to connect AI assistants to real tools and data.
- **Standardize integrations**: Leverage the standard protocol to integrate AI agents with tools and data, enabling seamless collaboration and workflow efficiency.
**Production Readiness**
VioletCranberry/coco-search is considered production-ready
Problem
VioletCranberry/coco-search helps connect AI assistants to real tools and data through a standard protocol.
Outcome
High for an OSS candidate: recent activity, adoption, and ecosystem signals are strong enough for a serious pilot.
Workflow
- connect AI agents to tools
- ship Model Context Protocol servers
- standardize integrations
Evidence
Local-first hybrid semantic code search tool. Indexes codebases into PostgreSQL with pgvector embeddings via Ollama, combines vector similarity + keyword search with RRF fusion. Supports 30+ languages. Features CLI, MCP server, WEB dashboard and interactive REPL.
- Record date: 2026-09-10T17:20:52.411Z