GraphCanon

cocoindex

cocoindex-io/cocoindex

Incremental engine for long horizon agents

GitHub Website
11k
Stars
824
Forks
55
Open issues
49
Watchers
Rust Apache-2.0Last pushed Jul 6, 2026

Overview

CocoIndex is an open-source framework designed to provide fresh context and live indexing capabilities for AI agents. It supports real-time processing of enterprise data such as codebases, Slack messages, meeting notes, and documentation into a production-ready incremental sync engine.

Categories

AI AgentsData & Retrieval

Tags

live-agent-contextstreaming-etlsemantic-searchrag-pipelineagentic-data-frameworkincremental-indexingai-agents

Similar tools

ECC

affaan-m/ECC

The agent harness performance optimization system

227k 35kJavaScript

hermes-agent

NousResearch/hermes-agent

The self-improving AI agent built by Nous Research

211k 39kPython

AutoGPT

Significant-Gravitas/AutoGPT

AutoGPT: Build, Deploy, and Run AI Agents

185k 46kPython

ollama

ollama/ollama

Get up and running with Kimi-K2.6, GLM-5.1, MiniMax, DeepSeek, gpt-oss, Qwen, Gemma and other models.

176k 17kGo

transformers

huggingface/transformers

🤗 Transformers: the model-definition framework for state-of-the-art machine learning models

162k 34kPython

langflow

langflow-ai/langflow

Langflow is a powerful platform for building and deploying AI-powered agents and workflows.

151k 9.5kPython

Install

cargo add cocoindex
crates.io Docs / website

README

Enterprise corpus — codebase, Slack, meeting notes, and documentation — flowing continuously through the CocoIndex incremental sync engine into a production AI agent with always-fresh context. Only the Δ (delta) is reprocessed on every change. Keywords: RAG pipeline, agent memory, enterprise retrieval, AI agent context, live indexing, retrieval-augmented generation, production LLM apps, streaming ETL, incremental ingestion.

Your agents deserve fresh context.

Star us ❤️ → Star CocoIndex on GitHub — open-source Python framework for RAG, vector search, and live agent context  ·  cocoindex.io — the CocoIndex homepage: incremental data pipelines for AI agents  ·  CocoIndex documentation — quickstart, connectors, ops, transformations, target stores, RAG and knowledge graph recipes  ·  Join the CocoIndex Discord community — help, showcase, release notes, and live chat with maintainers

CocoIndex turns codebases, meeting notes, inboxes, Slack, PDFs, and videos into live, continuously fresh context for your AI agents and LLM apps to reason over effectively — with minimal incremental processing. Get your production AI agent ready in 10 minutes with reliable, continuously fresh data — no stale batches, no context gap

Incremental · only the delta  ·  Any scale · parallel by default  ·  Declarative · Python, 5 min