Incremental engine for long horizon agents 🌟 Star if you like it!
CocoIndex is an incremental data-processing engine that keeps code, documents, messages, PDFs, and videos continuously updated as context for AI agents and language-model applications. Engineers use it to build declarative Python pipelines that process only changed data, and its catalogue skills help coding agents work with CocoIndex correctly.
This repository also configures its own agents. See what cocoindex tells them →
Skill Claude CodeCodex
This skill should be used when creating, editing, or reviewing inline SVG diagrams for the CocoIndex docs site (anything under docs/src/content/docs/). It encodes the component-based primitive system under docs/src/components/diagrams/, the palette + shape semantics, the preview-and-verify loop using headless Chrome…
Skill Claude CodeCodex
This skill should be used when creating a new target connector for CocoIndex to integrate with external systems. It provides guidance on implementing TargetHandler, TargetActionSink, and related types for declarative target state synchronization with change detection and automatic cleanup.
Skill Claude CodeCodex
This skill should be used when upgrading the cocoindex package version in all example pyproject.toml files. It uses regex-based sed commands to efficiently update version constraints across multiple files at once.
Skill Claude CodeCodex
This skill should be used when building data processing pipelines with CocoIndex, a Python library for incremental data transformation. Use when the task involves processing files/data into databases, creating vector embeddings, building knowledge graphs, ETL workflows, or any data pipeline requiring automatic change…
At most 3 mods per repository are shown here, and a mod shipped inside a plugin is left to that plugin's page — the rest are on their repository pages: