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Raven 0.2.0 — The Harness of Harnesses, built for RSI. 🐦‍⬛ One harness can't be best at everything. Raven combines its own specialist harnesses (Research, Code, Design, Oncall) with the agents you already use (Claude Code, Codex and more) into one team. And it's built for RSI, and not just at the skill level. The whole harness can be rewritten by AI: prompts, policies, strategy code, playbooks. Every sub-harness, including the orchestration layer itself, is its own instance that can be improved. With Raven you can: 1. Orchestrate many agents as one team. Raven's sub-harnesses and external agents work in one task graph with shared memory across sub-agents, powered by leading orchestration (0.963 Node F1 on the Multi-Agent Orchestration Benchmark). 2. Run long, complex tasks. Oncall and proactive execution keep work going for days, from scientific research loops to shipping a full Godot game. 3. Build vertical agents with RSI. Use Raven's RSI to develop and refine an agent for your domain, and we'll optimize it with you. Experimental for now; reach out to the Raven team(Discord: More in the video and slides below. Open source, Apache-2.0. (lots of work made with Raven lives there, and much of this launch's material was made with Raven too)

Couple of highlights from the spring game! Super blessed to play the game I love and be back on the field! Putting my head down and getting back to the grind! @Coach_Smith_1 @Coachscorner3 @JRRevere9 @RecruitGeorgia @CoachTuckerQB @MitchStewartFB @A_Ragland14 @CoachRyanAplin @CoachMikeLondon

思いを伝えるって大切だなって改めて思いますよね。この作品も相まってですが。 直接伝えてもらえるって こんなに幸せな気持ちになるんだって。 私もちゃんと、逐一、ちっちゃなことでも伝えていかなくちゃなって思いました。 素敵な気持ち✨