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Basic Information

CORE is an open source unified, persistent memory layer designed to let developers and teams retain and share contextual information across multiple AI tools and clients. It builds a temporal, reified knowledge graph that records who said what, when, and why so conversations and decisions do not vanish when switching models or sessions. CORE connects once and makes context portable between providers such as Cursor, Claude Desktop, Claude Code, Gemini CLI and other MCP clients. The project provides a browser extension to capture web content and integrations to auto-sync context from apps like Linear, Slack, Notion and GitHub. The repo contains documentation for basic concepts, self-hosting, API reference and provider-specific setup so developers can integrate a single memory layer into coding and conversational workflows.

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App URL
https://github.com/RedPlanetHQ/core
Github Repository
https://github.com/RedPlanetHQ/core/blob/main/README.md

App Details

Features
CORE implements a unified, portable memory stored as a temporal, reified knowledge graph with provenance and relationships rather than flat storage. It offers a browser extension to capture content from ChatGPT, Gemini, Twitter, YouTube and arbitrary web pages. The system supports chat-with-memory so agents can answer questions using stored context and preferences. Auto-sync connectors ingest context from Linear, Slack, Notion and GitHub. An MCP Integration Hub centralizes connections so apps and CLI tools can access shared memory. The repo includes documentation and guides for self-hosting, API usage and provider integrations, and demonstrates interoperability with tools such as Cursor, Claude and various CLI coding environments.
Use Cases
CORE prevents loss of context and repeated re-explanation when switching between AI models or restarting sessions, enabling more continuous and coherent agent behavior. Developers can persist conversation history, user preferences, task context and reference materials so coding assistants and chat clients retain memory across tools. The knowledge graph captures provenance to help trace decisions and relationships among facts. Browser capture and app auto-sync reduce manual context entry. The MCP hub simplifies wiring multiple providers to the same memory layer so teams can reuse project, GitHub and Slack context in Claude, Cursor or CLI workflows. Documentation and self-hosting instructions let teams run and integrate CORE within their infrastructure while following guidelines to avoid storing sensitive data.

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