The problem this solves
Long-running research loses quality when agents cannot distinguish verified findings from tentative notes or remember why a source was accepted, rejected, or superseded.
Use case / Open Source AI Memory Database
Research Agent Memory
Research agents need to remember sources, claims, rejected paths, open questions, and evolving hypotheses instead of restarting from scattered notes every session.
How Memorose handles it
Memorose stores research events as durable memory and links related claims, sources, and conclusions through graph-aware recall and time-aware retrieval.
runtime example
curl -X POST "$BASE_URL/v1/users/researcher/streams/market-study/events" \
-H "Authorization: Bearer $TOKEN" \
-H "Content-Type: application/json" \
-d '{
"agent_id": "research-agent",
"content": "Source A supports enterprise adoption, but excludes self-hosted deployments."
}'