Memory & Knowledge MCP Servers for DeepSeek Harness

Multi-layer agent-memory MCP server (working, episodic, semantic, procedural, affective) for Claude Code and any MCP client.

Universal AI coding assistant memory — session handoff, SLM compression, and semantic retrieval.

One private, local memory your AI tools share. Cross-model, on-device, never lose a session.

Persistent memory layer for AI coding agents: save, recall, update via Gemini plus LanceDB

Encrypted mail, shared memory, and persistent context for AI agents.

Connect any AI agent to your Synchronex workspace — portable memory, decisions, and workers.

Long-term memory for AI agents: local-first PKM with provenance and hybrid search.

On-device, self-organizing memory for AI coding agents — recalls the right facts into each prompt.

AI Assimilation MCP Server - Enable AI experience sharing and assimilation through structured data export and human-like learning

Persistent memory layer for AI coding agents — your agent remembers what you taught it.

Open-source persistent memory + context layer for AI-assisted dev teams via MCP.

Shared workspace your AI agent writes to. 184 tools, persistent memory, semantic search.

Local-first knowledge graphs from your documents: build, search (GraphRAG) and edit on your machine.

Shared local knowledge vault MCP server for Claude Desktop (Chat + Code)

Read and write a personal knowledge graph, the Polarity exocortex, from any LLM client.

Shared memory across devices, sessions, and agents for OpenClaw, Claude Code, and Codex.

Local memory for Claude Code. Semantic recall across session history with zero API calls.

Use your Claude Pro/Max subscription on your Obsidian vault. Reads markdown, proposes writes.

Persistent memory for Claude Code — offline, single-file, hybrid search.

Git for AI memory — version-controlled, searchable context that persists across sessions

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