Hypersave
Memory that thinks. The cognitive memory layer for AI agents.
Brain-inspired architecture with five cognitive sectors (reflective, semantic, procedural, episodic, emotional) and Ebbinghaus exponential decay. Knowledge graph + vector + keyword + RRF hybrid retrieval. Ten-stage query pipeline with answer synthesis — not chunks. SOC 2 Type II. TypeScript and Python SDKs.
Memory that thinks.
Five cognitive sectors. Hybrid retrieval. Synthesis, not chunks. Drop-in for any agent runtime.
Audited against the benchmarks that matter.
Brain-inspired decay across five sectors.
Reflective memories outlast episodic ones by orders of magnitude. The retrieval pipeline weighs them accordingly — the same way a mind does.
One endpoint. One memory. Every agent.
POST a memory. Hypersave routes it to the right cognitive sector, decays it appropriately, and surfaces it through hybrid retrieval the next time the agent asks.
curl -X POST https://api.hypersave.ai/v1/save \
-H "Authorization: Bearer $HYPERSAVE_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"agent_id": "agent_7f3a",
"user_id": "user_42",
"content": "User prefers async written updates over standups.",
"sector": "semantic",
"metadata": { "source": "slack", "confidence": 0.94 }
}'