The Next Run Should Be Better
Conference Context
- Date/time: 2026-07-01 · 11:40am-12:00pm
- Track/room: track TBD · Expo Stage 4 SE
- Speaker(s): Jake Broekhuizen
- Session type/status: session · confirmed
- Track: track TBD
- Room: Expo Stage 4 SE
- Session type: session
- Status: confirmed
Session Description
Agents generate a constant stream of experience through traces: tool calls, failures, corrections, routing decisions, and user feedback. The challenge is identifying which parts of that experience are worth remembering, and making those lessons available to the agent when it runs again. This talk presents memory as an agent learning loop: capture traces, extract signal, and turn the right lessons into durable context. We'll explore practical models for agent memory and discuss how to build systems where the next run can be better than the last.
Media Evidence
No related AI Engineer channel video found yet.
Evidence Graph
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Media Signals
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Agent Reading Notes
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Transcript Status
No official session recording transcript was found by exact title match on the AI Engineer YouTube channel during this run.
People
Notes
- Pending transcript synthesis when an official recording or confirmed matching video is available.
Synthesis
Synthesized Breakdown
The Next Run Should Be Better ## Conference Context - Date/time: 2026-07-01 · 11:40am-12:00pm - Track/room: track TBD · Expo Stage 4 SE - Speaker(s): Jake Broekhuizen - Session type/status: session · confirmed - Track: track TBD - Room: Expo Stage 4 SE - Session type: session - Status: confirmed ## Session Description Agents generate a constant stream of experience through traces: tool calls, failures, corrections, routing decisions, and user feedback. The challenge is identifying which parts of that experience are worth remembering, and making those lessons available to the agent when it runs again. This talk presents memory as an agent learning loop: capture traces, extract signal, and turn the right lessons into durable context. We'll explore practical models for agent memory and discuss how to build systems where the next run can be better than the last.
Speaker And Company Context
- Jake Broekhuizen — Labs Lead at LangChain.
Topics Covered
- Topic links are pending transcript-backed classification.
Derived Links And Source Material
Novel Concepts / Clever Methods
- No highlighted novel concept has been detected yet.
Evidence Boundary
This synthesis is based on the official schedule and linked source pages. It should be revisited when exact session recordings or transcript-backed secondary sources are available.