MCP servers and skills: search, filter by where they run, and compare.
Databricks Vector Search endpoints and indexes for RAG and semantic search; covers index types, search modes, end-to-end RAG patterns
OfficialSkillLink only★ 347 in collection
🥝 Self-hosted memory gateway for AI companions — OpenAI-compatible proxy with vector search, memory heat, Dream consolidation and calendar-level summaries · AI 伴侣记忆网关：向量搜索、记忆热度、Dream 睡眠整合、日历层级摘要，任何客户
MCPLink only★ 337
Mimir - Fully open and customizable memory bank with semantic vector search capabilities for locally indexed files (Code Intelligence) and stored memories that are shared across sessions and chat cont
MCPLink only★ 287
Persistent visual cache for LLM-driven software development. Caches screenshots using perceptual hashing, vector search, and AX trees to prevent token overhead and visual hallucination loops.
MCPLink only★ 46
Shared memory for AI agents and teams -- MCP server with knowledge graph, vector search, and auto-consolidation
MCPLink only★ 3Few stars
Team knowledge evaporates daily — pairing sessions, debugging context, architectural rationale lost to Slack. Distillery captures it at the point of creation, connects it into a living graph, and surf
MCPLink only★ 25
Engram: memory for every AI, built from your own notes. Sync an Obsidian vault and let Claude, ChatGPT, Cursor or any MCP client search, read and write it. Self-hostable.
MCPLink only★ 11
Lightweight semantic memory for AI agents — vector search, hybrid BM25, automatic extraction, and zero-config deployment
SkillLink only★ 4Few stars
High-integrity backbone for agentic reasoning, deterministic coordination, and associative memory. One binary. Total autonomy.
MCPLink only★ 16
Markdown vector search MCP server for Claude Code. Natural language search for markdown files using multilingual-e5-small embeddings.
MCPLink only★ 64
The embedded graph database that builds itself. Declarative linking rules, explainable derived edges, microsecond traversal. Rust core, Cypher subset, Python bindings.
MCPLink only★ 5
Local-first MCP server that turns a project’s Markdown knowledge base into searchable context for AI agents using lexical, vector, and hybrid retrieval.
MCPLink onlyFew stars
Dynamic attribute pre-filtering for vector search
SkillLink only★ 9
High-precision persistent memory & knowledge graph engine for AI coding agents via Model Context Protocol.
MCPLink only★ 3Few stars
Model Context Protocol (MCP) server implementation for semantic vector search and memory management using TxtAI. This server provides a robust API for storing, retrieving, and managing text-based memo
MCPLink only★ 15
All of my notes backed up in DuckDB with Vector Search Support
MCPLink only★ 3Few stars
MemoryOracle — Persistent Long-Term Memory MCP for AI Agents. 10 tools: store, query (FTS5 BM25), update, forget (GDPR), session summaries, cross-reference with Trust Layer. Per-namespace isolation. A
MCPLink onlyFew stars
Vector embeddings cosine similarity search engine
SkillLink only★ 9
High-performance vector index and hybrid semantic search engine
SkillLink only★ 9
RushDB is a graph + vector database and memory layer for AI agents. Push any JSON, get typed, searchable, relationship-aware records back — no schema, no migrations. Built on Neo4j.
MCPLink only★ 325
The explainable, local-first memory engine for AI agents. One ~9 MB binary fuses vector + graph + columnar under VelesQL; why() returns the evidence path behind every recall. No cloud, no glue code —
MCPLink only★ 97
Search and read Vector Panda docs: API operations, pricing, storage tiers, measured benchmarks.
Hosted by authorNo licenseFew starsNo key
🧠 Personal knowledge MCP server with vector database for Opencode. Store and retrieve knowledge using semantic search, powered by local embeddings.
MCPLink only★ 16
Who stands behind it
