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COCOINDEX
Continuously fresh context for AI agents
Apache-2.0
ABOUT
AI agents need fresh, continuously updated context to reason effectively, but traditional batch pipelines drift stale and full recomputes are expensive. CocoIndex solves this with a declarative incremental engine — declare transformations in Python, and the engine maintains the derived index by processing only the delta when source data changes, delivering sub-second freshness at 10x lower compute and LLM costs with end-to-end data lineage.
INSTALL
pip install cocoindexINTEGRATION GUIDE
1. Real-time codebase indexing for AI coding agents with AST-aware chunking and call graphs
2. Continuous document ingestion into RAG pipelines with incremental re-indexing on changes
3. Meeting notes and conversation to knowledge graph extraction for agent memory
4. Structured data extraction from forms and invoices with schema-validated fields
TAGS
incrementalindexingetlragpipelinereal-timesearchagent-memorydataflow