memory-management
17 servers · 327★ total
A memory system using mem0 for AI applications. Enables long-term memory for AI agents as a drop-in MCP server.
🧠 Self-hosted, privacy-first MCP server for long-term AI memory — save, search & summarize Claude/ChatGPT chat history locally. No cloud, no database.
🏛️ Memory System for AI Coding Tools - Never explain your codebase again. MCP server with perfect project isolation, 95.8% context accuracy, and the Four Pillars Framework.
DevMind MCP provides **persistent memory capabilities** for AI assistants through the Model Context Protocol (MCP). It enables AI to remember context across conversations, automatically track development activities, and retrieve relevant information intelligently.
Never lose context again - persistent memory management system for AI-powered workflows across multiple tools
Local-first, project-aware memory MCP server for Claude Code, Codex, and other AI agents, with Obsidian and an owner dashboard.
Living memory for AI agents with an immune system. Episodes compress into identity. Zero dependencies, works with any client.
🧠 Production-ready MCP server providing intelligent memory for Claude Code with async architecture, Neo4j knowledge graphs, smart chunking & enterprise security. One-command Docker deployment.
MCP-compatible context and memory system: paged code navigation for AI assistants, plus a recorded, verified theory of what is known about the code.
Long-term memory for AI agents that stays correct — zero-dependency Python + MCP server for Claude Code. When a fact is corrected, the old value stops coming back.
MCP-native embedded memory database for AI agents built in Rust. REMEMBER/RECALL/FORGET/SHARE primitives with hybrid vector search, AES-256-GCM encryption, DuckDB/PostgreSQL backends & SDKs for Python, TypeScript and Go.
Zero context compaction for Claude Code & LLM agents. Persistent memory powered by OS primitives (demand paging, kswapd eviction, mlock pinning). Single SQLite file, MCP-native, multi-agent shared.
🧠 Mnema — Long-term memory for AI via MCP × Vector DB. Pluggable backends, hybrid search, Auto Dream consolidation, CLI + REST API + SDK.
Stop AI agents from confidently using stale facts. MemGuard validates memories in Mem0, Zep, Letta & LangMem against reality — trust scores, quarantine, tamper-proof audit trail, MCP tools. Like Datadog for agent memory.
Local-first memory engine for AI-agent teams — private/team/project ACL, associative recall, federated sync, and a built-in MCP server. One SQLite file, no LLM required. Apache-2.0.