Memory MCP Servers — Page 2

Local Work Model for AI agents that learns from real outcomes.

Production-readiness for your AI coding agents. Set a rule once. Every agent in every repo follows it.

`Agents Remember` is a Drift-aware repository memory for coding agents in complex codebases. Captures what code can't say on its own! Retrieves memory by path, semantic search, and relationship (code-graph).

One memory. Every AI. Nothing to install. Memxus works across Claude, ChatGPT, Cursor and Slack — and any app your team uses that needs to remember (Notion, Linear/Jira, Gmail, Salesforce/HubSpot, Intercom, Zendesk, Google Drive, Confluence, GitHub). No extension, no local setup, no repeated context. Save once. Remember everywhere.

A vendor-agnostic cognitive persistence layer for AI agents. Eliminate the "repetition tax" by transporting your context, preferences, and history across sessions. Features an auto-adaptation engine that syncs global instructions to ensure operational cohesion and optimize token usage across any LLM or multi-agent workflow.

Source-grounded MCP, A2A, and x402 metadata for verified knowledge commerce.

Local-first MCP server that gives AI coding assistants persistent session memory. 85.6% token reduction, no cloud.

Self-improving MCP memory server for AI agents. One command, no cloud, no config. Hybrid search, feedback loop quality system, dashboard UI, auto-linking knowledge graph. Gets better the more you use it.

Long-term memory system for AI agents with semantic search, context management, and multi-format storage.

Provides a universal gateway for corporate AI tools, offering knowledge storage, access control, and proxying of external AI sources.

Connect Claude to your operational data across ERP, payroll, asset management, and procurement systems. Query, report, and propose governed write-backs -- identity-bound and audited.

MCP server for Obsidian vaults — search, memory, link graph, 23 tools, OAuth-protected.

User-owned memory for AI agents over remote MCP. Save, search, recall, update, and manage scoped memories across Copilot, Claude, ChatGPT, IDEs, and CLIs.

One memory URL. Every AI tool. Your rules, lessons, and context — recalled automatically, every conversation.

Auditable, self-improving knowledge & memory for AI agents over MCP — citation-enforced answers and a replayable why-trace, self-hosted on Postgres.

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.