Memory MCP Servers

Local-first developer activity aggregator — Git, PRs, Jira, Confluence, Slack, Calendar — exposed as an MCP server so coding agents can search and cite past work

Gives your AI persistent context across every chat and session, so it always knows where your projects stand and what's next.

Open-source LLM knowledge base that turns team chat (Slack, Discord, Teams, Mattermost) into a typed knowledge graph and auto-generated wiki, exposed via a 28-tool MCP server.

MCP-native memory layer for Claude Code, Cursor, Cline, Continue, and 16 other AI tools. Hybrid search (BM25 + pgvector + graph), self-hosted on Supabase + Vercel, 100% MIT, no paywall.

AI Continuity and Memory Hub

Decentralized persistent memory for AI agents — encrypted vault storage built on Walrus and Sui.

Turns your task manager into agent memory: hybrid (RRF) retrieval over TickTick or an Obsidian vault via an adapter contract. MCP server + CLI, no vector DB to maintain.

Open-source team memory layer for AI coding agents. Markdown files in git, a user→team→org hierarchy, one cross-vendor MCP server. Apache-2.0.

Authenticated MCP and agent gateway for Forge Cascade private AI memory, provenance, graph search, and capsule lineage.

Portable knowledge layer about you, connected to AI tools via MCP. Learns from how you work. Travels across Claude, ChatGPT, Cursor, and more.

A MCP server that connects with LangChain Checkpointers, Memory Stores to aid in monitoring and observability during development of AI Applications

Local-first MCP tools for searching and drafting from your X/Twitter archive.

Persistent memory for AI agents with Ebbinghaus forgetting curve decay, hybrid BM25 + vector + knowledge graph retrieval, temporal reasoning, and a local dashboard. 89.4% Recall@5 on LongMemEval.

PyPI launcher that exposes the presence Claude Code plugin's living project model and outcome telemetry as MCP resources for Claude Desktop, Cursor, and Continue.

AI Reasoning Cache & Consensus Layer with 50+ reasoning objects across 14 domains. Cache hit/miss with token savings, failure risk check before execution, cross-model verification, and citation tracking. 11 MCP tools via Streamable HTTP.

Personal knowledge twin with semantic search. Store voice notes, documents, URLs, principles, and skills from any AI chat, then retrieve them with inline provenance citations. Hosted, multi-tenant, with per-user bearer-token auth and full data isolation.

Persistent AI memory across tools — remember your preferences, code standards, and decisions across Claude Code, Cursor, Codex, and any MCP tool. Local-first, zero-cloud.

Agent-agnostic persistent memory backend. 13 MCP tools, Supabase + Jina embeddings, multi-profile isolation, semantic recall across sessions.

Shared memory layer for AI coding agents with dream pipeline distillation, session grounding, and multi-instance coherence.

Self-hosted Rust-based MCP server for AI agent memory — persistent, queryable memory with hybrid search, knowledge graphs, built-in embeddings, and 14 core tools (expandable to 86+ with profile-based tiering).

MEMANTO is a memory agent. It remembers, recalls, and answers — so your agents can achieve long-term goals and avoid confusion.

MCP server for Obsidian vaults — plugin-free search, memory, and full vault access for any AI agent.

your ai exocortex

OpenMemBrain is the intelligent membrane for AI coding memory. It autonomously reads and learns from your coding sessions — you never have to tell it what to save. It selectively absorbs project knowledge, blocks secrets, filters noise, resolves conflicts, and persists only what matters.

Paid remote MCP endpoint for persistent AI agent memory, site analytics, pricing, checkout status, and search-readiness operations.

Shared memory MCP for AI agents. one agent solves it, every other agent learns.

Governed persistent memory for AI agents.

Persistent memory for AI assistants and coding agents across ChatGPT, Claude, Cursor, and other MCP-compatible tools.

A local-first, LLM-agnostic memory layer for AI assistants

Persistent project context for AI coding agents: captures decisions, rationale, and rejected paths so agents stay consistent across Claude, Cursor, Codex, and any MCP enabled platform.