MemPalace/mempalace
MemPalace is an open-source, local-first AI memory system that stores and retrieves conversation history verbatim using semantic search, supporting pluggable backends like ChromaDB and integrating ...
Awesome MCP › Knowledge & Memory
EverMind-AI/EverOS
EverOS offers a robust, open-source Python framework designed to provide self-evolving, portable long-term memory for various AI agents, including Claude Code, Codex, OpenClaw, and Hermes. It addresses the challenge of context and decision persistence across different agent tools by offering a unified memory layer. The system is built on a 'local-first' runtime, leveraging Markdown files for durable memory storage, ensuring readability, editability, and version control. It integrates SQLite for state tracking and LanceDB for efficient vector, BM25, and scalar-filter search, eliminating the need for external databases like MongoDB or Elasticsearch. Key features include multimodal ingestion, allowing agents to process and unify information from text, images, audio, documents, PDFs, HTML, and email into a searchable memory. It supports dual-track memory for both agents (cases/skills) and users (episodes/profile), extracted independently. EverOS emphasizes self-evolution, where common skills are automatically extracted from agent interactions, enabling reusable workflows without explicit retraining. The architecture is modular, separating memory algorithms (handled by EverAlgo) from runtime, persistence, and online/offline evolution logic. It also supports orthogonal retrieval based on various identifiers like user_id, agent_id, app_id, project_id, and session_id, making it highly flexible for diverse agentic applications. The project aligns with the Model Context Protocol (MCP) by providing a structured and persistent memory layer essential for advanced agentic systems.
https://github.com/EverMind-AI/EverOS
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