Memory MCP servers

Personal AI memory — gives every AI agent shared, persistent memory of you

Shared local memory for coding agents: SQLite, semantic recall, linked entities, code navigation.

Hosted ambient memory for AI agents. Retrieve context and save notes via MCP tools with OAuth.

Versioned, structured agent memory storing facts as keypaths with full version history and automatic conflict detection.

Project-local knowledge-graph memory MCP server from N2NS Lab for AI coding agents.

Graph-structured MCP memory server. 37.2% LongMemEval. Auto dedup, themes, decay, synthesis.

Local-first memory for coding agents — MCP server, single SQLite file, local embeddings

Local-first memory for AI coding agents. Memory + CodeGraph + Wiki in one SQLite file.

Memory + wallet for AI agents. Real payment rails, Agent FICO 300-850, Merkle audit, identity.

Token-light local memory with SQLite hybrid retrieval for MCP agents.

Deterministic, token-minimal agent memory: multi-hop [[wikilink]] recall with no LLM in the loop.

Local knowledge graph memory MCP server for AI assistants.

Cloud-based persistent memory for Claude Code with semantic search, AI extraction and project scoping.

Local-first memory for AI agent teams: private, team and project access control, associative recall and federated sync with revocation, plus a web console.

Persistent memory for Claude Code with hybrid search (BM25 + vectors + reranker) — MCP plugin

Persistent memory for agents. Corrections stick, context compounds, every session starts smarter.

Persistent memory shared across Claude Chat, Code and Cowork, stored in local SQLite with full-text search.

MCP adapter for Engram - organizational memory for AI agents

Multi-agent communication hub with real-time messaging, task scheduling, shared memory, trust-based evolution and role-based access control.

Local-first memory for coding agents that turns coding sessions into reusable engineering memory: decisions, gotchas and domain knowledge.

AI knowledge graph for architecture, portfolio, and digital strategy management.

Context intelligence for AI coding agents: navigation, impact, memory, guarded edits.

Persistent, searchable context storage across Claude Code sessions using SQLite FTS5, with AI session summaries, checkpoint recovery and a web dashboard.

Hand off conversation context between Claude Desktop projects and across MCP clients, stored in memory rather than files.

Governed graph-native agent memory: knowledge extraction, fusion, hybrid RAG, scoped access tokens.

Agent-agnostic memory backend that preserves continuity between humans and AI over time.

Local-first AI context and memory server for cross-tool coding continuity.

Memory layer for AI coding assistants. Indexes git history + code, exposes via MCP.

Self-hosted, source-traceable memory layer and MCP server for AI agents, on your own Postgres.

Shared memory & coordination for AI coding agents — a blackboard, not an orchestrator.

Local session continuity across Claude Code, Codex CLI and Gemini CLI: context injection on start, compaction handover, memory, tasks and multilingual search.

Persistent, read-only codebase memory for Claude Code; ask it instead of re-reading files.

Local-first, zero-knowledge AI memory across Claude, Cursor, and every MCP client. 0 RTT reads.

Local YouTube memory: transcribe, embed and search videos, with summaries and highlights.

MCP server for API discovery and recommendations: help Claude Code, Codex, Cursor, Cline, and other coding agents choose APIs with current CLIRank data instead of stale model memory

MCP server for the Ethora chat & messaging platform: login, manage apps and chat rooms, broadcast messages, and deploy AI agents / chatbots with RAG sources.

MIND knowledge-graph memory for agents. 44 tools: CRM, Life, MoneyMIND, Budget, Sheets, Email, Sign.

Penfield: persistent memory with hybrid BM25/vector/graph search, typed graph relations, context checkpoints, artifact storage and a personality system.

MapRag: RAG-focused MCP subregistry for discovering and routing to retrieval-capable MCP servers with structured constraints and explainable ranking.

Local-first shared memory and task coordination for AI coding agents. Go daemon plus headless CLI.

Describe systems in natural language to get interactive architecture diagrams, export to frameworks like Spring Boot, FastAPI and Terraform, and detect drift.

Governed memory for coding agents with trust lifecycle (hypothesis, active, validated, deprecated), conflict detection, staleness tracking and health scoring.

PDF toolkit: create and analyze PDFs, extract text for RAG, convert to Markdown, split and merge pages, add annotations and form fields, and encrypt files.

The agentic meta-harness — freeze the model, evolve the harness. An open runtime that routes each query to the cost-optimal model, evolves its own harness (planner/context/reviewer/retry/tool/memory/score policy) and autonomously repairs code, then orches

Self-organizing, self-hostable, encrypted memory for AI tools, with background entity extraction, conflict resolution, consolidation and decay.

AI agent memory: task tracking, scoped work packages, decisions, and cross-session continuity

Filesystem-based persistent agent memory: agents read, write and search memory while a background daemon handles consolidation and extraction.

Shared, versioned memory and governance for AI coding agents, resolving architectural decision conflicts across agents.