Agent SystemsEXPERIMENTexperiment · memory graphs
Graph Memory
Relationship memory between agents, tools, and knowledge.
The Thesis & Bottleneck
The Real-World Bottleneck
Vector recall answers what is similar. Agents also need what is related: who decided, with which tool, toward what outcome.
The Architectural Insight
Memory should be a graph — agents, memory, and knowledge as connected nodes — not a pile of embeddings.
How I Built It
A bench for relationship memory: entities and decisions linked across sessions, retrievable by relation as well as similarity.
Technical Stack & Protocols
Real Outcomes & Lessons
Observed Production Outcome
Open research: relation-aware recall for multi-agent coordination.
What I Learned The Hard Way
“The interaction itself becomes documentation when memory is traversable.”
System Telemetry
- System TrackAgent Systems
- Current StatusEXPERIMENT
- Architectureexperiment · memory graphs
- Launch StageBench experiment feeding Raven and the production agent setup.
System Access
Related Systems
Interested in how this architecture works under load?
Book a 30-min discovery call →