Memory & Knowledge MCP Servers for DeepSeek Harness

Knowledge-graph based memory server with storage in the current working directory.

Evidence-first entity and knowledge graph MCP server for AI agents to verify claims.

Explainable graph-retrieval memory engine with an RL-trained management policy.

FAVA Trails 🫛👣 — Federated Agents Versioned Audit Trail. VCS-backed memory for AI agents via MCP.

Personal knowledge vault MCP server for Claude Desktop

Semantic search for Obsidian vaults via MCP

Inspectable, correctable project memory in git-versioned Markdown for AI agents.

A Model Context Protocol (MCP) server for indexing and semantically searching PDF research papers

Knowledge graph + MCP tool server for LLM agents — 3rd-gen retrieval, graph-aware multi-turn exploration, structured data tools

MCP-first agent learning: capture failures, validate lessons, retrieve context, improve.

Persistent code-knowledge memory across AI chat sessions (MCP server)

Dual-memory system (episodic vector + semantic graph) with LLM reasoning for AI agents. CLI, MCP, HTTP API, WebSocket interfaces.

Agent memory where every fact carries a receipt, and deletion is provable.

Portable, provider-agnostic memory on top of Azure Data Explorer (Kusto)

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

Give every AI you use one shared, permanent memory. Store once, recall in whichever AI you open.

MCP server to interact with Obsidian via the Local REST API plugin

Obsidian Vault MCP - semantic search and memory service

A Python MCP server that gives LLMs persistent, searchable access to project context — documentation, architecture decisions, and session

Read, search and write your encrypted Pyunto diary from Claude. Decrypts only on your own machine.

Outcome-based persistent memory for AI coding tools (Claude Code, OpenCode)