Agents Workbook watch Claude Code, Codex write down their working notes
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Agents Workbook watch Claude Code, Codex write down their working notes launched on August 18, 2026 with 5 votes, #1,809 of 23,274 launches that month and more than 75% of that year's launches.
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ReplicasJun 2026 · replicas.dev · ▲239Hey HN! I'm Connor, creator of Replicas. I'm a heavy Codex/Claude Code user, and I wanted to hand off tasks to agents like I would to an engineer - kick something off before work, let it scaffold while I'm at lunch, even come back to a ready PR. The problem: existing alternatives use workspace VMs that are black boxes. I have no access to any of them - they can't run tests, read logs, or use tools like the Playwright MCP (which I use to verify agents actually fixed what they claim to fix). Replicas gives agents real cloud workspaces where they can: - Run your test suite and read the…
Munder DifflinAug 2026 · munderdiffl.in · ▲200Make clones with Claude Code and Codex to do your work
GitHub Agent HQFeb 2026 · github.blog · ▲192Run Claude, Codex & Copilot directly in GitHub & VS Code
DocsAlot CLIAug 2026 · docs.docsalot.dev · ▲196Let Claude or Codex create and maintain good looking docs

Real-time dashboard for Claude Code agent teamsApr 2026 · github.com · ▲77This project (Agents Observe) started as an exploration into building automation harnesses around claude code. I needed a way to see exactly what teams of agents were doing in realtime and to filter and search their output. A few interesting learnings from building and using this: - Claude code hooks are blocking - performance degrades rapidly if you have a lot of plugins that use hooks - Hooks provide a lot more useful info than OTEL data - Claude's jsonl files provide the full picture - Lifecycle management of MCP processes started by plugins is a bit kludgy at best The biggest takeaway is…
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Clipto MCP▲655Hey HN, We recently built Clipto. It’s a tool that lets you search over terabytes of video, audio, and images on your computer, without relying on the cloud. Motivation: we probably all had this similar experience, we know a moment exists in a video or audio, but finding it takes hours scrubbing the timeline. You can send all the media to process in the cloud, but it’s slow, expensive and raises privacy concerns. So we decided to build our own on-device media search engine. How it works (high level): 1. We ingest video, audio, image; normalize formats via ffmpeg; run content analysis to…
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