🎉 Introducing 𝙾𝚙𝚎𝚗 𝙱𝚘𝚝 An open source Grok Bot that works with ANY agent harness, designed for real companies. It includes: - AI Coworkers - Generative UI - Computer use (remote/local) - Agent-human handoffs - Full data recording, owned by you Repo → …↗

Model routing can happen across layers, each with a different set of information. The final choice belongs in the harness because it can: - Reduce cost while maintaining performance, accounting for the prompt cache - Shape jobs and choose their models together - Learn continuousl…↗

🧩 DeepSeek Harness v0.1 is now available in Developer Preview! 🔹 We’re opening it up to developers building agent harnesses worldwide and open-sourcing the codebase in MIT license. 🔹 Powered by the Cordis meta-framework, DeepSeek Harness is an agent harness built around one c…↗

Really excited about this post. We wanted to understand an agent harness from first principles and share our findings publicly. No bullshit, no AI generated slop, just pure alpha. rubriclabs.com/blog/what-is-a…↗

introducing tau τ — an educational agent harness that teaches you how to build agent harnesses i will be publishing tutorials and demos on how to use it to create your own TUIs, harnesses, extensions, etc. Happy Tau Day!! 🤓 👉 twotimespi.dev↗

Introducing "create-agent-tui" A skill for building your own agent harness + terminal UI (TUI). The skill walks you through 4 different ways of customizing the look, and supports dozens of optional features 👇↗

Harness, Memory, Context Fragments, & the Bitter Lesson this is a work in progress mental dump on interesting intersections between how we use and design a harness, implications for memory being accumulated over long timescales, and the search bitter lesson we can’t escape this…↗

Agent harnesses are becoming the dominant way to build agents, and they are not going anywhere. These harnesses are intimately tied to agent memory. If you used a closed harness - especially if it’s behind a proprietary API - you are choosing to yield control of your agent’s memo…↗

Introducing Claude Managed Agents: everything you need to build and deploy agents at scale. It pairs an agent harness tuned for performance with production infrastructure, so you can go from prototype to launch in days. Now in public beta on the Claude Platform.↗

Today, we’re setting the new standard for complex document extraction. Introducing Deep Extract. It utilizes an agent harness approach that repeatedly iterates and verifies outputs until they are at human-level accuracy. More below:↗

Hooks in Claude Code was such a good thing to release. Every agent harness should have it. Super useful for AI control!↗