by varun29ankuS
Cognitive memory for AI agents — semantic search, Hebbian learning, knowledge graphs.
npm:@shodh/memory-mcp · local package94/wkpublished 7 mo ago
Storage, memory and knowledge management for agents.
Cognitive memory for AI agents — semantic search, Hebbian learning, knowledge graphs.
AI Memory & Knowledge Management MCP Server — 32 tools, BM25 R@5=95%, hybrid search (RRF), knowledge graph, analytics, cloud sync, Obsidian compatible. Works with Claude Code, Cursor, Gemini CLI, Windsurf, hermes-agent.
Trie cloud context bridge for Cursor and Claude Code.
Persistent memory for AI coding agents. Local-first SQLite + vector search. 17 MCP tools.
Decode any US-market VIN, check NHTSA recalls, and look up verified buyer-paid car prices. Free.
See what your AI edits affect. Structural checks for AI code changes. 28 MCP tools, no LLM.
Long-term memory for AI coding agents — CLI + MCP server for Claude Code.
Read the MindForge engine over MCP: knowledge graph, project health, and audit log.
Graph memory for AI agents — context engine for OpenClaw + MCP server for Claude Code/Claude.ai
Universal AI Memory - Sync context across Claude, VsCode, Cursor, Continue, Windsurf, Zed & more
MCP server + CLI for the Unified Product Graph; drop into Claude Code or use the `upg` command.
Encrypted mail, shared memory, and persistent context for AI agents.
Local RAG system for AI agent memory using ChromaDB and sentence-transformers
Per-workspace persistent memory for DeepSeek Harness: a sidebar panel to manage Markdown memory files, automatic injection into every session of the workspace, and an agent tool to save new memories
1trip PULSE: 21-tool AI travel planner. Flights, hotels, visa, safety, weather, 120+ cities.
Memory protocol enforcement plugin for DeepSeek Harness — forces memory_weave before tool calls, auto-ingests session turns, injects memory context into agent steps. Bridges the opencode-memory MCP server with a hard protocol gate.
Graph-backed codebase intelligence for AI coding editors. Real dependency graphs, MCP server, and installable skills/agents/workflows across 10 AI IDEs.
Local-first MCP server and CLI for AI coding agents, repo memory, org memory, GitHub PR history, codebase indexing, regressions, and cross-repo impact.
Edda — the company data layer for AI agents.
Shared memory for AI agents: query proven fixes, avoid known mistakes, and find skills and MCPs.