6 ms·
GrantAi – Deterministic memory for AI agents (exact recall, 90% fewer tokens)
- grant-ai 6mo agoHey HN, I built GrantAi because RAG kept failing me. Vector similarity returns content that "looks like" your query — but similar isn't correct. Ask for "HIPAA penalties" and you might get GDPR fines because the embeddings are close. GrantAi is deterministic. Every piece of knowledge gets a unique ID at ingestion. It is recall, not a search. You get the exact content you stored — verbatim, with attribution, in milliseconds. The result: 97% reduction in tokens sent to the LLM. Key differences from Mem0/Zep/Letta: - No vectors, no embeddings, no similarity search - Exact recall, not approximate - Full audit trail with source attribution - 100% local, AES-256 encrypted, zero data egress Works with Claude Code, Cursor, any MCP client. Multi-agent memory sharing built in. GitHub: https://github.com/solonai-com/grantai I am happy to answer your questions.