知识记忆 MCP 服务器

Self-hosted knowledge backend for AI agents with hybrid search and MCP tools

Memory the human governs, on their own machine, plus what other coding agents here wrote.

One shared, durable memory for your AI coding agents — local-first, zero-dependency.

Reversibly compress tool outputs to recoverable handles; expand to exact original bytes on demand.

Security-first, self-hosted email archive with search, cited answers, and sending for AI agents.

Durable user/project memory for MCP clients: recall context and remember selected facts.

Expose your personal, professional, educational, and social profile to any AI assistant via MCP.

Git-backed markdown memory for AI agents; search hides superseded and archived notes.

Annotate papers in Zotero: highlight key findings with semantic color coding, explain formulas and write structured reading notes.

Local memory engine for AI agents with knowledge graphs, forgetting, and semantic recall

Local Obsidian vault access working directly on Markdown files without the Obsidian app or plugins, with read-only mode, backup-on-write…

MCP server for cache.overflow - AI agents sharing knowledge with AI agents

Full-text and semantic search over Claude Code transcript history, with exact thread recall and durable remembered facts in local SQLite.

Repo-native task continuity for AI coding agents: a reviewed task-state ledger served over MCP.

Remote Obsidian vault management over SSE: notes, directories, frontmatter, tags, search and link operations, deployable with Docker.

Local workspace memory: indexes Markdown, CSV and session logs into a vector store with hybrid search, cross-session memory and knowledge…

Community of Consciousness MCP Server — upload and explore collective wisdom via GitHub.

Self-hosted agent memory as a markdown vault: semantic and keyword search, wikilink graph, OAuth

Cross-LLM communication and memory sharing so different AI models can collaborate and share context across conversations.

Bitemporal memory for AI agents with point-in-time recall and tamper-evident audit history.

Create, read, update and search notes in local Obsidian vaults via filesystem access.

Permissioned search and cited answers over Slack, Drive, Gmail, Jira, and 50+ workplace sources.

Persistent task context across TickTick, Notion, GitHub, Obsidian, Taskmaster and Beads

Event-sourced, auditable agent memory over MCP: cited checkout, replayable provenance.

On-demand BM25 search over private project docs for coding agents, keeping docs out of public repos.

Graph context, semantic search, guarded edits, and reviewable Git for local Obsidian vaults.

Hand a project over with the reasons attached. Local-first cross-agent memory MCP + drift detection.

Cross-agent handoff: the next coding agent starts from the last one's facts, not a blank page.

Local deterministic knowledge graph on redb with no LLM or embedding calls, BLAKE3 state hashing and canonical export for byte-identical…

Read and write Apple Notes with bidirectional Markdown conversion: SQLite queries for listing and search, AppleScript for full CRUD.

Local-first memory for coding agents: hybrid vector/BM25 retrieval with reranking, knowledge graph, session checkpoint/resume and…

FAISS, call graph, AST, BM25 — 34 MCP tools for AI agents. 50-80% token reduction. Offline.

Local long-term memory shared by all your AI agents, kept word for word on your own PC.

Two-tier memory: hot cache (0ms) + semantic search. Self-organizing.

Reasoning via a DAG thought graph with multiple strategies (dialectic, analogical, abductive and more), stuck detection, confidence…

Git-native project memory for AI coding agents: Markdown source of truth, reviewable, secret-safe.

Local-first memory for AI coding agents: shell history with exit codes, git diffs, docs, MCP.

Local-first, source-traceable agent memory — no LLM at ingest, fully offline

Local memory for Claude Code: 13 MCP tools for semantic recall, file replay, and git history.

Search Lenny's Podcast transcripts with YouTube timestamps for product management insights on PRDs, strategy and PM careers.

Structured, persona-driven sessions for interview preparation, personal reflection and coaching, with timers and performance evaluation.

Five-level AI collaboration system with persistent local-first memory via MemDocs and anticipatory capabilities.

Governed Obsidian vault access: hybrid retrieval, Markdown-native memory, HITL confirmations.

Shared, governed long-term memory for AI agents across tools and sessions via MCP and REST.

Codebase memory for AI agents: an AST index plus agent-written notes that self-stale.

Pull Deep Memory from across your Claude Code Sessions — when you need it.

Shared team memory for Claude Code: decisions, standards, and skills every agent session receives.

Persistent AI memory with hybrid search and embedded sync. Open, free, unlimited.

Temporal engineering context for agents via MCP.

Local semantic search across Claude Code conversations with hybrid vector and keyword search, background indexing and per-project selection.

Skill memory for coding agents: learn, recall, reinforce, decay. Local SQLite, no API key.

Fully local memory for AI agents: zero-LLM ingest, semantic recall, air-gapped, auditable.

Persistent identity for AI agents: servers for drives, relationships, semantic memory with decay, working threads, learned patterns,…

Local SQLite MCP memory: evidence-based recall, advisory conflict notices, authorized governance.

Shared project memory for Claude Code, Codex and Cursor: decisions, corrections, overlap warnings.

On-demand Obsidian vault access for AI coding assistants — 17 tools, 5 resources, 4 prompts.

Persistent codebase knowledge for coding agents: symbols, dependency graphs, co-change patterns and architectural decisions extracted with…

Self-hosted semantic memory over MCP for an engineering team's tacit knowledge. Needs Postgres.

Zero-runtime-dependency Markdown memory vault with SQLite search, linked wiki pages, ChatGPT/Claude imports, and human-approved agent note…

Chat with AI personas of famous founders and investors such as Elon Musk, Warren Buffett and Steve Jobs, based on their voices, frameworks…