Engram
A conditional memory architecture that separates static knowledge storage from dynamic reasoning for AI systems
demo.engram.lol ↗Verified Data
Notable
Published on January 12, 2026, achieves 97% long-context accuracy, confirmed breakthrough for DeepSeek's upcoming V4 model
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GitHub: [https://github.com/zanfiel/engram](https://github.com/zanfiel/engram) Live demo: [https://demo.engram.lol/gui](https://demo.engram.lol/gui) (password: demo) I built a memory server for AI agents. Store what they learn, search by meaning, recall it automatically in future sessions. \- Local embeddings (MiniLM) — no OpenAI key needed \- Single SQLite file — no Postgres, no vector DB \- Auto-linking, versioning, deduplication \- WebGL graph visualization bui
GitHub: [https://github.com/zanfiel/engram](https://github.com/zanfiel/engram) Live demo: [https://demo.engram.lol/gui](https://demo.engram.lol/gui) (password: demo) Built a memory server that gives AI agents long-term memory across sessions. Store what they learn, search by meaning, recall relevant context automatically. \- Embeddings run locally (MiniLM-L6) — no OpenAI key needed \- Single SQLite file — no vector database required \- Auto-linking builds a knowle
Signals
“reaching 770.5K monthly visits in March 2024”
“Its growth metrics show a significant increase in organic traffic, reaching 770.5K monthly visits in March 2024, up 1,811% from 40.3K in the preceding 6 months”
“the company is trusted by over 60,000+ students and professionals”
Evidence
GitHub: [https://github.com/zanfiel/engram](https://github.com/zanfiel/engram) Live demo: [https://demo.engram.lol/gui](https://demo.engram.lol/gui) (password: demo) Built a memory server that gives AI agents long-term memory across sessions. Store what they learn, search by meaning, recall relevant context automatically. \- Embeddings run locally (MiniLM-L6) — no OpenAI key needed \- Single SQLite file — no vector database required \- Auto-linking builds a knowle
GitHub: [https://github.com/zanfiel/engram](https://github.com/zanfiel/engram) Live demo: [https://demo.engram.lol/gui](https://demo.engram.lol/gui) (password: demo) I built a memory server for AI agents. Store what they learn, search by meaning, recall it automatically in future sessions. \- Local embeddings (MiniLM) — no OpenAI key needed \- Single SQLite file — no Postgres, no vector DB \- Auto-linking, versioning, deduplication \- WebGL graph visualization bui
Persistent memory for AI agents.
offered personal demos to every single person that signed up