API Integration
| Server | Language | Stars | Downloads |
|---|---|---|---|
| Memoize — persistent agent memory Persistent cross-session memory shared by Codex, Claude Code, ChatGPT, and other AI agents. | — | - | - |
| memo-mcp-server MCP server for Memo — exposes your voice transcripts to AI IDEs via secure API token | TypeScript | - | - |
| MemoraEU Zero-knowledge persistent memory layer for AI agents. Encrypted client-side, hosted in France. | Python | - | - |
| @memori.ai/mcp-sharepoint MCP server that executes Sharepoint apis | TypeScript | - | - |
| memories-with-lessons-mcp-server I enhance the existing memory mcp server from the official mcp github, so big thanks and credits for creating this | JavaScript | 52 | - |
| memorix Open-source cross-agent memory layer for coding agents via MCP. Compatible with Cursor, Claude Code, Codex, Windsurf, Gemini CLI, GitHub Copilot, Kiro, OpenCode, Antigravity, and Trae. | TypeScript | 809 | - |
| memory-boost Markdown memory for coding agents that audits itself: drift reports and session digests. | Python | - | - |
| Memory Fabric File-first, local-first MCP memory for AI coding assistants: Markdown + YAML, no vector DB. | Python | - | - |
| Memory for AI Local codebase knowledge graph for AI agents — 162 languages, sub-ms queries, 99% fewer tokens. | TypeScript | - | - |
| MemoryGuard Local-first governed MCP memory backend for coding agents. | Python | - | - |
| Memory OS AI Adaptive memory for AI agents — FAISS search, chat extraction, cross-project linking | Python | - | - |
| @memoryplugin/mcp-server MCP server for MemoryPlugin API integration | TypeScript | - | - |
| Memory Vault Claude-style memory over a local folder via MCP — per-project spaces plus a shared org layer. | TypeScript | 63 | - |
| memos-mcp-server A Model Context Protocol (MCP) server for Memos API with search, create, retrieve, and tag listing capabilities. | TypeScript | 0 | - |
| MemoStem Your reviewed knowledge, across AI conversations. | — | - | - |
| MemPersist Durable, revision-pinned memory storage and retrieval for AI conversations. | — | - | - |
| Memphora Add persistent memory to AI assistants. Store and recall info across conversations. | Python | - | - |
| Mempool.space mempool.space MCP — Bitcoin block explorer + mempool/fee stats | TypeScript | 5 | - |
| Memside AI continuity hub for context, checkpoints, rules, profile, and AI Skills across tools and chats. | — | - | - |
| MemVault MCP Server Shared memory router for AI agents: save/search/recall, session-start injection, review inbox. | — | - | - |
| Memwyre Universal persistent memory and knowledge retrieval layer for AI agents and LLMs. | — | - | - |
| Memxus **Memxus** is multi-platform persistent memory for AI assistants. Save project context, preferences, and decisions once — recall them in Claude, ChatGPT, Cursor, and other MCP clients. ## What it does - **Remember** — store facts, preferences, and project context with collections and tags - **Recall** — semantic search across your memories - **Get context** — formatted context blocks for the current topic - **Manage** — list, inspect, update scope, and delete memories ## Connect - **OAuth** (recommended): sign in with Google via your Memxus dashboard - **API key**: create an `aimem_*` key at [dashboard.memxus.com](https://dashboard.memxus.com) **MCP endpoint:** `https://mcp.memxus.com/mcp` **Docs:** [memxus.com/docs/mcp](https://www.memxus.com/docs/mcp) **Install:** [memxus.com/install](https://www.memxus.com/install) **Privacy:** [memxus.com/privacy](https://www.memxus.com/privacy) ## Tools `remember`, `recall`, `get_context`, `list_memories`, `get_memory`, `list_collections`, `forget`, `memory_stats` Built for developers and power users who work across multiple AI tools without repeating the same context every session. | — | - | - |
| mendapi Detect API breaking changes, scan your codebase for impact, and draft the fix. Runs locally. | TypeScript | - | - |
| Mendrift MCP server for ML drift detection, MLflow registry diffing, and HMAC-gated model rollback | Python | - | - |
| mengram Human-like memory for AI agents — semantic, episodic & procedural. Experience-driven procedures that learn from failures. Free API, Python & JS SDKs, LangChain, CrewAI & OpenClaw integrations. | Python | 201 | - |