Agents
Had fun nerding out on the @_odsc AI podcast about: • Building in public as both market diligence and a way to meet founders • Jev experimen…
Had fun nerding out on the @_odsc AI podcast about: • Building in public as both market diligence and a way to meet founders • Jev experiments: knowledge graphs, relevance filters, and emotional blobs
Had fun nerding out on the @_odsc AI podcast about: • Building in public as both market diligence and a way to meet founders • Jev experiments: knowledge graphs, relevance filters, and emotional blobs • BabyAGI → ActiveGraph: build agents around the log, not the LLM • FirmOS: deriving our playbook from actual decisions instead of writing it from scratch • Making research reproducible, not just reporting results • How our histories shape who we are—and what that might mean for agents SoundCloud: https://hubs.li/Q04zzJVP0 Apple Podcasts: https://hubs.li/Q04zzJTp0 Spotify: https://hubs.li/Q04zzJHN0
Related
- 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…
- the core concept is a graph that represents everything about the agents knowledge, history, behaviors, capabilities graph is made of events …
- we've been building agents around the llm, starting with conversations, adding tools, giving rules, logging everything, and storing a form o…
Source: Yohei Nakajima (X) | 2026-10-08