Recursive Multi-Agent Systems
— AK (@_akhaliq) 1 mai 2026
paper: https://t.co/ROCnUbP2PP pic.twitter.com/SKU4lViY4A
Recursive Multi-Agent Systems paper: https://
huggingface.co/papers/2604.25
917
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AGENTS
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Recursive Multi-Agent Systems Research Paper
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AI Agents Set to Handle Most Transactions Soon
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“It is increasingly clear that agents will be responsible for most transactions in the not overly distant future.”
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Agentic Code Risks Demand Roadmaps and Human Code Reviews
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this is … odd. the whole problem with agentic code is that people wind up with hard to debug redundancies, security holes, deleted databases, etc., which is exactly why you need roadmaps and code reviews, with AI-written code. I am with @Grady_Booch on this one (and almost
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OpenClaw Agent Updates Improve Group Chats and Codex Harness Performance
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If you tried OpenClaw in group chats and got mixed results, you GOTTA try again. I changed how agents talk there, it IS SO GOOD NOW. https://
docs.openclaw.ai/channels/group
s#visible-replies
… And if you used GPT and got subpar performance, switch to codex harness. https://
docs.openclaw.ai/plugins/codex-
harness
… Enable both and boom. -
Using Codex AI to Organize and Enhance Music Libraries
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I’ve been using Codex to organize my local Music library, fixing missing metadata, finding missing album covers, and even creating new playlists. It’s surprisingly effective.
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Community Helps Make OpenClaw Safer: Use Cases Explored
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Great post from @steipete on how the community helped make @OpenClaw safer. Curious how people are using Claws in the wild. What use cases are you running?
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AI Character Memory Feature Update Adds Facts and Backstory
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new Memory update pt.3 Add Facts – give your Character real depth and backstory (hobbies included). Memory auto-captures the details as you chat, and you can add or edit facts anytime in the Memory tab stay tuned for more Memory updates(๑>◡<๑)
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Merge API Offers Integrated Platform for AI Builders at Interrupt
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Meet @merge_api at Interrupt! Merge provides one platform for the hardest parts of building AI, handling the integrations, agent infrastructure, and model routing so your team can stay focused on product.
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Replit Turns 10, Makes Agent Free with Buildathon
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Replit is turning 10, and we are making Agent free Get ready to have fun building! Want prizes? Join our buildathon in partnership with Anthropic Prizes sponsored by Replit & RevenueCat
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OCR-Memory: Novel Approach to Long-Horizon Agent Memory Storage
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// OCR-Memory // Well this is a unique approach to store memory for long-horizon agents. Most of the agent memory systems compress trajectories into text summaries and hope the model remembers what matters. But that's where the information loss hides. Long-horizon agents need