Agents
just watched @yoheinakajima's Active Graph talk at AI Engineer. not a code call graph but the agent run itself is the graph: goals, tasks, e…
just watched @yoheinakajima's Active Graph talk at AI Engineer. not a code call graph but the agent run itself is the graph: goals, tasks, evidence, decisions, all projected from an append-only event
just watched @yoheinakajima's Active Graph talk at AI Engineer. not a code call graph but the agent run itself is the graph: goals, tasks, evidence, decisions, all projected from an append-only event log. replay, fork, diff any point. auditability is structural, not bolted on after. go watch Active Graph helped shape how Brigade and its code intelligence (the artist formerly known as graphtrail) functions 🆕 ActiveGraph: The Log is the Agent my talk from AI Engineer is live!!! 😆 https://www.youtube.com/watch?v=khVX_BUnEwU it's about @activegraphai, an event-sourced graph runtime for building durable long-running agents: - what it is - code examples - experiments - benefits & surp…
Related
- The Log is the Agent 它的核心观点是：不要把日志当成 agent 的副产品，而要把 append-only event log 当成 agent 本身。 在 ActiveGraph 里，目标、规则、工具调用、LLM 响应、产物和关系都写入同一条事件日志；当前状…
- ActiveGraph makes the agent trace the runtime: Yohei Nakajima's open-source Python runtime treats an append-only event log as the source of …
- I’ll be in room 2005 (graph track) at 11:10am to talk about ActiveGraph: event-sourced graph runtime for building auditable agents! Been hav…
- [[replit-longer-form-video-on-active-graph-7-min-22-sec---flip|@Replit longer form video on Active Graph [7 min 22 sec] - flip the agent architecture - 1970s blackboard system - rollback, fork, diff agen…]]
Source: Yohei Nakajima (X) | 2026-07-22