Just published proactive-soul to ClawHub. This is an @openclaw skill that gives your agent an inner life. Improves the digital mind of your agents in ways that will amaze and make your entire setup more productive for you. Makes dialog with agents more intelligent, but also
AGENTS
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Proof-Carrying Evolution for Safe AI Self-Improvement
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The RSI era should not be ungated self-modification. It should be proof-carrying evolution: Every agent action emits proof.
Every proof enters a Selection Gate.
Only what passes eval, risk, scope, canary, monitoring, and rollback earns propagation. Private intelligence stays -
AutoScientists: open-source AI team doing real science
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AI agents just started doing real science, not just answering questions.
— AlphaSignal AI (@AlphaSignalAI) 6 juin 2026
Most AI research agents follow one path or take orders from a central planner.
They forget what failed and stop improving once they plateau.
AutoScientists works differently.
It is an open-source team… pic.twitter.com/Ou6x2ONkq1AI agents just started doing real science, not just answering questions. Most AI research agents follow one path or take orders from a central planner. They forget what failed and stop improving once they plateau. AutoScientists works differently. It is an open-source team
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A geophysicist automates his job search with Claude Code
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UN GEOFÍSICO AUTOMATIZÓ SU BÚSQUEDA DE EMPLEO CON CLAUDE CODE
— Nico (@nicos_ai) 6 juin 2026
Lo publicó gratis y Open source.
Rellenas tu perfil una vez, y ejecuta un pipeline de 5 pasos por cada oferta:
1. Lee la oferta y puntúa qué tan bien encajas
2. Genera un CV en LaTeX con solo la experiencia… https://t.co/ucLjKhDeuP pic.twitter.com/fabwolrjGXA geophysicist automated his job search with Claude Code He published it for free and as open source. Fill in your profile once, and run a 5-step pipeline for each job offer: 1. Reads the offer and evaluates how well you match
2. Generates
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Open-source collection of 50+ hands-on AI engineering tutorials
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Hands on AI Engineering! I open-sourced a collection of 50+ hands-on AI engineering tutorials. It features step-by-step projects and tutorials on: • AI Agents and Multi-agents
• RAG (Agentic, Vision, and Local)
• MCP AI Agents
• OCR Apps
• Voice AI Agents
• & so much -
Comparing AI models for autonomous workflows
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AI AGENTS Which model would you trust for autonomous workflows today? Claude Opus 4.8 GPT-5.5 Qwen 3.7 Max GLM 5.1 Planning, tools, MCP, reasoning, multi-step execution… Which one are you actually using and why? #AIAgents #AgenticAI #LLM #GenAI
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Claude skills bundle: 20+ specialists for marketing & business
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Speaking of skills, here's some that are based on human-made frameworks. Turn Claude into 20+ different specialists for marketing & business. Install real expertise, not just prompts. Get my Claude skills bundle
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Spatial-Agent: AI grounded in spatial science for geospatial tasks
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Why do AI agents still struggle with real geospatial tasks like urban planning or disaster response? Researchers from Emory, Rutgers, and UT Austin introduce Spatial-Agent—a new AI that grounds reasoning in spatial science theory instead of web search or pattern matching. It
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Building a 4-agent software team managed from Telegram and Kanban
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i just built a 4-agent software team.
— Akshay 🚀 (@akshay_pachaar) 6 juin 2026
everything runs from Telegram and gets managed on a kanban board.
a project manager who plans the work, a backend developer, a frontend developer, and a tester. the PM reads a goal, breaks it into linked tasks, and assigns each to the right… https://t.co/zjXOHytKHC pic.twitter.com/k3vScpYgV8i just built a 4-agent software team. everything runs from Telegram and gets managed on a kanban board. a project manager who plans the work, a backend developer, a frontend developer, and a tester. the PM reads a goal, breaks it into linked tasks, and assigns each to the right
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Strategic implications of new scalable, efficient, undetectable AI
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The strategic implication is bigger than the hardware. This points to a new category of real-world AI: → biologically scalable
→ energy efficient
→ hard to detect
→ deployable at density That opens serious use cases across search and rescue, infrastructure monitoring, and