ContextCore

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Efficiently searches and filters local data across various formats to provide AI with relevant context, significantly reducing API costs.

ContextCore is a powerful Python SDK designed to intelligently index and manage all your local data—including notes, code, recordings, images, audio, and video—to optimize interaction with AI models. By selectively sending only the most relevant context to large language models like Claude, ContextCore helps users cut API costs by 50-99% without compromising context quality. It operates as a local background server, offers a comprehensive CLI for indexing and management, and integrates seamlessly with AI tools via its MCP server script, making your personal and professional data effortlessly accessible for advanced AI reasoning.

Key Features

0112 GitHub stars
02Local data indexing for text, documents, code, images, audio, and video
03AI context optimization and significant cost reduction for LLM API calls
04Codebase context exposure to AI for advanced reasoning over projects
05Unified CLI for managing indexing, server operations, and diagnostics
06MCP server integration for seamless interaction with Claude and other AI tools

Use Cases

01Enabling AI tools to understand and interact with entire codebases without manual input.
02Optimizing LLM API costs by providing highly relevant, filtered context.
03Enhancing AI's ability to reason over a diverse range of local documents, notes, and media files.