『Episode 44: OpenClaw v2026.4.29, Active-Run Steering, People-Aware Memory, Model Provenance, and Account Security』のカバーアート

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

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

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今ならプレミアムプランが3カ月 月額99円

2026年5月12日まで。4か月目以降は月額1,500円で自動更新します。

概要

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/
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