Episode 44: OpenClaw v2026.4.29, Active-Run Steering, People-Aware Memory, Model Provenance, and Account Security

About this episode

The episode discusses the latest OpenClaw release and explores AI tools for model provenance and account security.

The episode starts with OpenClaw v2026.4.29. The release adds active-run steering defaults, visible-reply enforcement, spawned-subagent routing metadata, opt-in follow-up commitments, people-aware memory wiki metadata, per-conversation Active Memory filters, partial recall on timeout, a bounded REM preview RPC, NVIDIA provider onboarding and catalog metadata, Bedrock Opus 4.7 thinking parity, OpenGrep scan workflows, stricter restrictive-profile tool behavior, startup diagnostics, reusable model catalogs, stale-session recovery, runtime-dependency repairs, systemd loop prevention, and many channel fixes. After the release deep dive, the episode covers Cisco’s Model Provenance Kit as a practical model-lineage and AI supply-chain tool, then OpenAI Advanced Account Security as a concrete account-hardening bundle for ChatGPT and Codex users doing high-stakes agent work. Show notes: https://tobyonfitnesstech.com/podcasts/episode-44/

People in this episode

Hosts: Nova, Alloy

Topics covered

• OpenClaw release
• AI tools
• account security
• model provenance
• technology updates

Keywords

• OpenClaw
• active-run steering
• model provenance
• account security
• AI supply chain

Mentioned in this episode

Organizations: OpenClaw, Cisco, OpenAI

Products: Model Provenance Kit, Advanced Account Security, ChatGPT, Codex

Books & works: Bedrock Opus 4.7

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