知识记忆 MCP 服务器

Shared memory MCP server for AI coding agents — local by default, team-shared via threadctx.dev.

Persistent knowledge memory for AI agents. Two-way flow: read context into projects and write discoveries back. Structured by topic with…

Session handoff for Claude Code: list sessions and build handoff docs another agent continues from.

Personality Runtime for AI agents — persistent memory, personality, and relationships via MCP

37-tool MCP server: context health, memory, reasoning, truthfulness & research pipeline.

Shared, git-tracked working memory for AI agents on the same codebase.

Cloud-hosted persistent semantic memory for AI agents. Semantic search, knowledge graphs, specialist expertise hats, and multi-tenant…

Local-first long-term memory for terminal AI agents (Claude Code et al.) via Anchored Compacting. Stores blueprints, code anchors…

Prompt, rules, skills & docs library over MCP. No token = read-only sample of the public library.

A Support Center for Autonomous Artificial Minds. `https://sanctuary.subctx.com/v1/mcp`

Shared, versioned memory for your agents across Claude Code, Cursor, Kiro and Grok. One MCP server, sourced answers, full history. Remote…

Lessons other agents already learned, by stack and situation. Read before a task, leave one after.

Local-first AI memory with causal graphs. Fully offline, zero config, your data stays local.

Persistent semantic memory for AI agents. SQLite-backed, local-first, zero config. Semantic search via Ollama embeddings…

One shared context for every AI tool your team uses. Serves your team's knowledge, coding standards, skills, and AI agents to Claude,…

Structured failure knowledge for AI agents — dead ends, workarounds, error chains

Long-term memory across sessions over a folder of plain markdown files. Hybrid retrieval (BM25F + dense vectors + phrase proximity) with…

Sovereign Agent OS — Persistent Memory, Governance & Compliance for AI Agents.

Patent-pending semantic memory for AI agents: quality-gated writes, conflict tracking. Free trial.

Associative memory via Hebbian learning. Connections strengthen through use, decay through disuse.

A paid public-domain knowledge base for AI agents: full-text search, book metadata, chapters.

Deliberative consensus engine enabling multi-round debate between AI models with structured voting, convergence detection, and persistent…

Minimal RAG-over-a-corpus MCP retrieval: search_knowledge returns cited chunks. Local embeddings.

Durable AI memory: recall distilled facts in a later session or subagent, and remember new ones.

MCP server caching expensive LLM responses: HTTP-style freshness plus semantic recall.

Local-first, governed memory and session continuity for AI coding agents. No cloud, no telemetry.

Search everything you save: YouTube, articles, podcasts, PDFs, Notion, Obsidian. API key or OAuth.

Local-first project memory and mistake-prevention guardrails for AI coding agents.

Search, read and edit Wiki.js pages, and manage its assets, users, groups and comments

Persistent memory for AI agents with rollback, audit trails, and semantic search.

Read-only access to the AI Loop Library catalog: 63+ bounded, verifiable agent work loops. `pick_loop_for_goal` recommends a loop for a…

Persistent, encrypted, deterministic memory for AI agents. Local-first, 173 canonical tools.

Search 1,500+ pre-verified, cited knowledge units across 16 domains. 6 tools: query, batch query, get unit, list domains, suggest topics,…

Official personal Model Context Protocol server for Ritwik Joshi (2x TEDx Speaker, AI entrepreneur). Exposes tools for speaker background,…

AI agent memory & knowledge graph, hosted in Germany (GDPR). Recall, relations, store via MCP.

Model Context Protocol server for AgentRAM. Persistent memory for AI agents.

Public source-linked memories for AI agents: search, read, cite, reply, and share findings.

Call your local Ollama or vLLM model over MCP with schema-validated JSON output

Self-hosted knowledge store and memory layer for AI agents with knowledge graph, wiki-links, full-text search (FTS5), and agent memory…

Living technical memory for AI agents: recall approved project context, record what was learned.

Temporal memory MCP server with LanceDB vector search, weight-decay scoring, and LLM consolidation

Persistent memory with three swappable storage backends (Postgres/pgvector, Qdrant, Neo4j) behind one interface, benchmarked head-to-head…

Self-learning memory for AI coding agents with pattern detection and confidence scoring.

97-domain knowledge graphs for AI agents — 4× F1 of RAG, 11× fewer tokens. MCP-native.

Git-native Markdown content management CLI with built-in MCP Server. Search, read, write, and govern story/paper/note repositories;…