DR-Venus Towards Frontier Edge-Scale Deep Research Agents with Only 10K Open Data paper: https://
huggingface.co/papers/2604.19
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AGENTS
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DR-Venus: Frontier Edge-Scale Deep Research Agents with 10K Data
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OpenClaw: Open Source Self-Hosted AI Agent Management Platform
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– Supports any model
— Robert Scoble (@Scobleizer) 23 avril 2026
– Self-hosted deployment, as low as €4/month
– Per-session sandbox environment
– Credential isolation
– Fully observable subagent (delegation)
It is MIT-licensed and open source. Give it a star on GitHub.
Link: https://t.co/kuQU56K2Yc https://t.co/wrk0Zl0w6F– Supports any model
– Self-hosted deployment, as low as €4/month
– Per-session sandbox environment
– Credential isolation
– Fully observable subagent (delegation) It is MIT-licensed and open source. Give it a star on GitHub. Link:
https://
github.com/stainlu/opencl
aw-managed-agents
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Internal recursive self-improvement ASI development approach revealed
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We keep the open-ended recursive self-improvement version internally, for now. #ASIFirst
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Claude GPT agents robots breakthrough medical advances
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Ces derniers jours donnent le vertige : Claude et GPT franchissent un nouveau cap, ouvrant un champ des possibles sans précédent. Google lance ses agents IA. La Chine fait courir un semi-marathon à ses robots humanoïdes. Des maladies jusqu'ici redoutables sont sur le point
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AI Gap: Tool Users Versus Toy Players, Agents Over Prompts
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Jensen is right. The gap isn't between humans and AI, but between those using it as a toy versus a tool. Building agents instead of just prompting is the difference between being a passenger and the pilot.
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Scaling Test-Time Compute for Agentic Coding
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Scaling Test-Time Compute for Agentic Coding Kim et al.: https://
arxiv.org/abs/2604.16529 #ArtificialIntelligence #AIAgents -
Listen Labs Agents Architecture and Self-Reviewing Feedback Systems
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🎙️ Talked to @ListenLabs co-founder + CTO @florian_jue in the latest Max Agency.
— Harrison Chase (@hwchase17) 23 avril 2026
Really enjoyed hearing about the architectural decisions behind their agents, their self-reviewing feedback subagents, using sandboxes, designing abstractions, and how Listen analyzes responses at… pic.twitter.com/KiVYyHdMhWTalked to @ListenLabs co-founder + CTO @florian_jue in the latest Max Agency. Really enjoyed hearing about the architectural decisions behind their agents, their self-reviewing feedback subagents, using sandboxes, designing abstractions, and how Listen analyzes responses at
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Multi-Agent LLM Systems Show Diversity Collapse Over Time
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Cool paper on diversity collapse in AI agents. It's a common issue with all the deployed multi-agent systems. New paper shows that multi-agent LLM systems converge on near-identical outputs over time, even across different architectures and different starting prompts. They call