Anthropic is working on a new Coordinator Mode, along with the ability to create custom agents directly from the desktop app. > "Delegate work across parallel agents." Will Coordinator Mode be similar to an upcoming Magic TODO list on Codex? h/t @M1Astra
AGENTS
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OpenClaw Routes Code Review Tasks to Hermes Agent
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OpenClaw receives “review my repo and check open PRs.” It routes that to a Hermes-powered coding agent. Hermes runs the repo inspection, tests, diff review, and saved code-review workflow. It sends the result back to OpenClaw, which keeps orchestration.
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AI Tools: Billion Dollar Business Opportunity for Entrepreneurs
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“A kid these days could start a multi billion dollar business by using these tools in some way no one has thought about”
— Aravind Srinivas (@AravSrinivas) 12 avril 2026
Enroll and give a shot at securing $1m in funding! https://t.co/Cw94uX1nkN pic.twitter.com/6WQrkloa9l“A kid these days could start a multi billion dollar business by using these tools in some way no one has thought about” Enroll and give a shot at securing $1m in funding!
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OpenClaw integrates with Hermes agents for specialized tasks
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I'm already using both. OpenClaw actually talks to my Hermes agents for things that it is good at.
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SkillClaw: Collective Skill Learning Through Agentic Evolution
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"SkillClaw: Let Skills Evolve Collectively with Agentic Evolver" As most AI agents still relearn the same targets from scratch, SkillClaw turns it into shared learning, where it collects agent trajectories across users, groups them by skill, and uses an agentic evolver to spot
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Lightweight AI Agent Processing Memory Continuously 24/7
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An AI Agent that runs 24/7 as a lightweight background process, continuously processing, consolidating, and connecting information. Just an LLM that reads, thinks, and writes structured memory. Built with Gemini 3.1 Flash Lite.
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DeepAgents CLI: Exploration Tool for AI Agents
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definitely is! we have deepagents cli which is our exploration
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DataAISummit 2026: Building Accurate Grounded AI Agents
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#DataAISummit 2026 is less than two months away! Join us June 15-18 for practical insights and real-world case studies on transforming your organization with data and AI.
— Databricks (@databricks) 12 avril 2026
Across 800+ sessions, you’ll hear from teams on how to:
• Build AI agents that are accurate and grounded… pic.twitter.com/Qjf8wehQmJ#DataAISummit 2026 is less than two months away! Join us June 15-18 for practical insights and real-world case studies on transforming your organization with data and AI. Across 800+ sessions, you’ll hear from teams on how to: • Build AI agents that are accurate and grounded
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LangChains create-agent vs DeepAgents SDK comparison
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LangChains create-agent is a super minimal agent sdk If you want a more batteries included – that’s deepagents Middleware lets you extend both of them and customize behavior in a more advanced way
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AI System Consistency and Context Complexity Trade-offs
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Thanks for the clarification! Your analogy about saving the stranger vs saving the dog makes a lot of sense. This is my non-expert POV, but I’ve been wondering if agentic behavior becomes less consistent as systems become more complex and are given more context. And does that