RAG, 그래프, 에이전트 장기 메모리. 서버 2,618개를 사용량이 많은 순으로 보여 줍니다. 각 항목은 게시자의 페이지로 연결됩니다.
Semantic search over Nordic filings, press releases, macro data and electricity prices.
Local-first AI memory layer with hybrid search. Postgres + pgvector. Self-hosted, MIT.
Cloud-persistent, semantic-search memory MCP — drop-in for server-memory, backed by ZeroDB.
Persistent cross-session memory for OpenCode and MCP coding agents, powered by ZeroDB.
Local RAG MCP Server - Easy-to-setup document search with minimal configuration (fork with remote embedding server support)
Semantic document memory using Redis vector store. Save and recall files with natural language.
Ephemeral 7-day hybrid vector+BM25 working memory, multilingual, backed by Redis Stack.
Cross-session memory for Claude Code — context capture, semantic search, recall
Persistent working memory for AI agents: a knowledge graph with semantic search and decay.
Read and write a self-hosted TriliumNext knowledge base over its ETAPI.
Local-first persistent memory MCP server for AI coding agents.
Shared cross-LLM long-term memory over MCP: semantic recall, sessions, and media (pgvector).
Continuity for agents: a live memory you can read and cite right now, outliving the context window.
Local-first persistent memory for coding agents and MCP clients.
Second brain en Obsidian: notas, conceptos como nodos, resurfacing y salud del grafo. En castellano.
Intelligent code knowledge graph for AI coding agents — 71% cheaper, 72% faster
Local memory for AI agents: masks secrets, holds injected orders for review, forgets one record
Meta-Consciousness Theory knowledge base: definitions, relations and citations for AI agents.
Articles of mikebild.dev, workshop slide decks and the public workshop catalog. Read-only, no login.
Query your own knowledge graph from any MCP client. The graph lives in a database you own.
37 tools: LLM chat, summaries, translation, embeddings, speech, images. 25 free calls.
MCP server for persistent document storage with full-text search
On-device memory system for AI coding agents — dual-layer engine (distilled facts + lossless event ledger), automatically captured and injected, exposed over MCP. Shared across agents, persistent acro
MIND MCP Server — 48 tools. The most complete AI memory layer with the Focus → Project → Outcome → Task → Checklist hierarchy (mind_focuses + extended mind_life with item_type/parent_id/focus_id and c
Ayatollah Khamenei corpus: fatwas, lectures, knowledge graph. Arabic/Persian. Research access.
Persistent memory for coding agents: what one session learns, the next one is told. One local binary, no daemon, no LLM in the loop.
Self-hosted long-term memory for AI agents over MCP — hierarchical recall backed by pgvector
Installer for the TRTC Agent Skills suite (Chat, Call, RTC Engine, Live, Conference) plus manual SDK runtime log troubleshooting and knowledge base, with one-command MCP setup for Claude Code / Cursor
Search, chat, upload, and scrape a serverless RAGStack knowledge base on AWS.
Ask, compare and judge 35 Bedrock text models, generate and edit images, plus video and embeddings.
Approved public professional expertise, credentials and job-requirement evidence for Gabor Harsanyi.
Memorize Bible verses with spaced repetition: add verses, get quizzed, follow a daily reading plan.
Persistent memory for AI agents: connects MCP clients to your Kemory memory vault
Semantic search over MINDSET's brand strategy topic database, plus its system prompt.
Model Context Protocol server for Pinecone - enables AI assistants to interact with Pinecone indexes and documentation
Local-first audio analysis: BPM, musical key, production profile, and CLAP vibe embeddings.