AI Agent Context Management Framework
9.6k 2026-05-12
cocoindex-io/cocoindex
CocoIndex is an incremental data indexing framework that provides continuously fresh context from diverse enterprise data sources for AI agents and LLM applications.
Core Features
Incremental processing: only reprocesses data deltas, ensuring efficiency.
Scalable architecture: designed for any scale with parallel processing by default.
Declarative configuration: easily define data pipelines using Python.
Diverse data ingestion: integrates codebases, meeting notes, Slack, PDFs, and videos.
Live context for AI: delivers always-fresh context to power production AI agents and RAG pipelines.
Detailed Introduction
CocoIndex addresses the critical challenge of providing up-to-date and relevant context for AI agents and large language models. By implementing an incremental indexing engine, it efficiently processes only data changes (deltas) from various enterprise sources like codebases, communications, and documents. This ensures that AI applications always operate with the freshest information, eliminating stale context issues and significantly improving the reliability and effectiveness of RAG pipelines and AI agent reasoning, all while minimizing processing overhead.