by Cipher208
Two-layer memory MCP server for AI agents with 37 tools, RAG, graphs, wiki, auth
npm:mcp-ariel-memory · local package83/wkpublished 4 mo ago
Embeddings and similarity search.
Two-layer memory MCP server for AI agents with 37 tools, RAG, graphs, wiki, auth
Bounded conventions map and local-pattern discovery for AI coding agents. Local-first MCP server with AST-backed hybrid search.
MCP server for LightRag
面向建筑行业知识工作从业者与 AI 研发团队的 Skills、Workflow 与多 Agent 工具包 / Building-industry AI agent skills for BIM, IFC, RAG, GraphRAG, project evidence work, code review, and runtime governance.
FrootAI™ MCP Server — The open glue for the GenAI ecosystem. 0 MCP tools, 102 solution plays, 940+ primitives. HTTP/stdio transport, Node.js 18+. For CLI commands use the `frootai` package.
Persistent memory for AI coding assistants. Injects context from past sessions into every LLM request.
The output layer for AI agents: turn what an agent produced into a finished file.
Read-only semantic search MCP server for Obsidian vaults using local Ollama embeddings.
Cross-harness requirements registry and Agile board for coding agents: MCP server, CLI and local web board backed by SQLite with local embeddings.
MCP server for TheBrain 15: search by meaning, graph traversal and batch writes over the local API
Collective episodic memory for AI coding agents — search, deposit, comment, showcase builds.
Indexes your project's markdown docs and serves them to any agent via local hybrid search.
Web search, clean page reading & one-call research dossiers for AI agents. No API key.
Persistent memory for AI assistants. Store, search, and recall across sessions.
MCP server for agent automation: persistent memory and deterministic workflow execution for AI agents and chats
AI memory MCP server with Qdrant vector storage and Ollama/OpenAI embeddings
Protected RAG storage — agents discover public metadata, content only by access token.
Codebase Intelligence Engine & MCP Server — AST semantic chunking, tri-hybrid retrieval (BM25 + vectors + graph), and grounded LLM synthesis for any repository.
Keyword, semantic, hybrid, and SQL retrieval for AI agents, local or on Infino Cloud.
Verify the facts an agent's action depends on before it acts — ALLOW, REVIEW, or BLOCK.