CocoIndex
CocoIndex is an open-source incremental data framework designed to keep codebases, documentation, meetings, and knowledge continuously indexed for AI agents. With a Rust core and a Python API, it ensures fresh context with zero re-processing, making it production-ready from day zero.
Key Features:
- Incremental Processing: Only the delta is reindexed, ensuring sub-second freshness at any repo size.
- Declarative API: Write simple Python code to declare the desired state of your target data.
- Real-time Indexing: Keep your index in sync with every commit, providing live context for coding and review agents.
- Semantic Search: Find by meaning rather than string matches, enhancing the search experience.
- Built for Agents: Designed to support coding, code-review, and security-review agents with reliable and fresh data.
Use Cases:
- Coding Agents: Supercharge coding agents with live context, call graphs, and semantic indexes.
- Knowledge Graphs: Transform meeting notes into a live knowledge graph for easy querying.
- Trend Detection: Ingest data from sources like Hacker News to detect trending topics before they peak.
CocoIndex is perfect for engineers looking to build reliable, autonomous AI agents that require fresh and explainable data.
