AI agents
Treating AI Operational Memory as Git like Version-Controlled State
For reliable autonomy, AI memory must adopt the rigor of version control: transparency, auditability, and the ability to roll back.
context graph
agents
Evolving Voice Agents into Collaborative Partners
Utilizing high-precision recall and low-latency performance to drive interactive experiences across deep conversation archives.
agents
AI Memory: Rethink it as an Index, Not a Database
Why conversational systems require pointers over payloads
AI
Reusable Knowledge vs. Operational Memory
The missing distinction in building AI agents that can actually follow through
agents
The Stateful Long-Range Dependency Problem in AI Agents
An agentic approach to building context to achieve reliable conversational intelligence. Conversational AI agents often struggle to reason smoothly across long-horizon conversations because their contexts are disconnected. For instance, if someone says, "I'm tired," today, the agent treats it as an isolated comment without considering