#77th of 18 in Memory
Supermemory
Memory and context engine for AI agents, with user profiles and hybrid search
- Stars
- 31.4k
- License
- MIT
- Last commit
- Oct 2026
- Last release
- Oct 2026
- Language
- TypeScript
19,261 on 26 Mar 202631,369 on 22 Oct 2026
From GitHub's daily star counts.
Checked on GitHub.
Overview
Supermemory extracts facts from conversations, tracks updates and contradictions, expires stale information, and returns a per-user profile plus relevant memories through one API. It also covers RAG, connectors (Google Drive, Gmail, Notion, OneDrive, GitHub) and file extraction. It can be used via the hosted API, an MCP server and editor plugins, or a local server on port 6767.
Who it is for: Developers adding long-term memory to agents, apps and AI coding tools
Ranked among open-source alternatives to Mem (#7 of 10).
Strengths
- Hybrid search returns RAG documents and user memories in a single query
- Handles knowledge updates and contradictions, and auto-forgets expired facts
- Local server keeps data in ~/.supermemory and can use Ollama with local embeddings
- Plugins for Claude Code, Cursor, Codex, OpenCode, plus Vercel AI SDK, LangChain, Mastra wrappers
Weaknesses
- Benchmark #1 claims are self-reported in the README, with details on a separate research page
- Hosted MCP server and plugins point at supermemory.ai cloud by default
- Local mode URL ingestion depends on a hosted reader service
- Local-versus-Enterprise feature differences are only documented on a separate page
What it needs
- GPU optional
- Needs LLM provider (OpenAI, Anthropic, Gemini, Groq, or Ollama), Docker (optional)
- Models: OpenAI, Anthropic, Gemini, Groq, Ollama
- port 6767
Quick answers
Is Supermemory open source?
Yes. Its code is on GitHub under the MIT license.
Does Supermemory need a GPU?
No. It runs on a CPU and can use a GPU when you have one.
Head to head
Also in Memory
See all 18| Rank | Project | Score |
|---|---|---|
| 1 | hindsightAgent memory server with retain, recall and reflect operations | 94 out of 100 |
| 2 | MemPalaceLocal verbatim memory store for AI agents with semantic search and MCP | 90 out of 100 |
| 3 | Mem0Long-term memory layer that stores and retrieves user facts for LLM agents | 89 out of 100 |
| #4 | gbrainLong-term memory store for coding agents, with sources and corrections | 88 out of 100 |
| #5 | CogneeMemory engine that turns documents and code into a knowledge graph | 85 out of 100 |