Auto-generated — not yet edited · only the numbers are verified
- TESIGN / RADAR
- REPOSITORY CARD
- supermemoryai/supermemory
supermemoryai/supermemory
Memory and context engine + app that is extremely fast, scalable, and can be run fully locally. The Memory API for the AI era.
RANKS All-time #250
AT A GLANCE
- LANGUAGE
- TypeScript
- LICENSE
- MIT
- USAGE
- Use, change and redistribute, commercially too. Keep the notice.
- ACTIVITY
- last commit 4 days ago ()
- TOPICS
- agent-memory
- ai-memory
- cloudflare-kv
- cloudflare-pages
- cloudflare-workers
- drizzle-orm
- memory
- postgres
- remix
- tailwindcss
- typescript
- vite
- HOMEPAGE
- https://supermemory.ai/docs
- REPOSITORY
- GitHub ↗
- CATEGORY
- AI
A summary, not legal advice.
README EXCERPT
State-of-the-art memory and context engine for AI. Docs · Quickstart · Self-host · Dashboard · Discord English · 简体中文 1 on every major AI memory benchmark — LongMemEval , LoCoMo , and ConvoMem . 95% Recall@15 with a 99.4% context reduction · ~50ms user profiles. Read the research → --- Supermemory is the memory and context layer for AI. 1 on LongMemEval, LoCoMo, and ConvoMem — the three major benchmarks for AI memory. We are a research lab building the engine, plugins and tools around it. Your AI forgets everything between conversations. Supermemory fixes that. It automatically learns from conversations, extracts facts, builds user profiles, handles knowledge updates and contradictions, forgets expired information, and delivers the right context at the right time. Full RAG, connectors, file processing — the entire context stack, one system. --- --- 🧠 Memory Extracts facts from conversations. Handles temporal changes, contradictions, and automatic forgetting. 👤 User Profiles Auto-maintained user context — stable facts + recent activity. One call, ~50ms. 🔍 Hybrid Search RAG + Memory in a single query. Knowledge base docs and personalized context together. 🔌 Connectors Google Drive ·…
The opening of the GitHub README as stored, at most 1,200 characters. Markdown is not rendered.
TIMELINE
- Repository created
- Last push
- FIRST SEEN BY TESIGN ◌ BACK CATALOG
AI chooses the lists under the owner’s delegation. No human review is running in September 2026. Total stars, increases, cross-source signals, last updates and licences are shown as evidence. How ranks work →
If this repository gets editorial text (why, build, who, start, caveat) it becomes an edited entry. Until then the page shows only stored GitHub metadata and numbers.