Unverified50% confidenceFactExact time
Recall builds a separate memory graph for each person, all running within the same FalkorDB instance.
1
Sources
50%
Confidence
Long-term
Relevance
10/18/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedThe team chose FalkorDB to explore a graph-based memory structure rather than storing each conversation as an isolated text chunk.76% similarUnverifiedRecallAI's architecture consists of four main parts: a frontend chat interface, backend request handling and memory retrieval coordination, a language model, and the FalkorDB graph database.69% similarUnverifiedRecallOS is a local AI document memory and search assistant based on Python, relying on Streamlit, Ollama and ChromaDB.68% similarUnverifiedRecall models approval actions as a node in the graph, persists approval state in FalkorDB, and has the executor read approved proposals from the graph database rather than relying on process memory, thereby achieving atomicity and recoverability of approvals.68% similarUnverifiedFalkorDB hosts one named graph per project on a single instance, plus one global graph, achieving multi-graph isolation without additional infrastructure.67% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/1062570API
curl https://kongchang.com/api/v1/knowledge/claims/1062570MCP
get_claim(id=1062570)