// Beyond Individual Intelligence // One of the more useful multi-agent surveys I've read this year. 200+ papers mapped along three axes: collaboration mechanisms, failure attribution, and self-evolution. The self-evolution chapter is the cleanest field map of where memory,
AGENTS
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Comparison of Agentic Search vs. Vector Search
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Great paper discussing agentic search vs. vector search.
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GitHub launches Agentic AI Developer certification
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GITHUB JUST LAUNCHED THE OFFICIAL CERTIFICATION FOR ONE OF THE MOST IMPORTANT TECH ROLES OF 2026 → Agentic AI Developer (GH-600) And it's the first time that working with AI agents officially becomes a recognized engineering discipline. We're no longer talking about:
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Hope for AI Agents to Automate Newsletter Publishing
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I hope someone hacked the ability for my AI agents to publish my newsletter automatically.
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AI Agent Development Over Two Months
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I built the agent over two months. And Levangie Labs is better than any other
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Claude Cowork’s Federated MCP Performance Benchmark
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Claude Cowork just got 10x more powerful!
— Sumanth (@Sumanth_077) 15 mai 2026
Glean benchmarked centralized vs federated MCP in Claude Cowork. Same harness, same model, same queries, different context layer.
The federated approach: Each data source (Gmail, Slack, Drive, Salesforce) has its own MCP server. Claude… pic.twitter.com/0lSWyHsKriClaude Cowork just got 10x more powerful! Glean benchmarked centralized vs federated MCP in Claude Cowork. Same harness, same model, same queries, different context layer. The federated approach: Each data source (Gmail, Slack, Drive, Salesforce) has its own MCP server. Claude
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AGI ALPHA: public implementation layer for AI self-improvement
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AI self-improvement is now a multi‑billion‑dollar category. AGI ALPHA is building the public implementation layer: proof‑bound agents, SecureRails, Open RSI Eval, Evidence Dockets & replayable enterprise machine labor. https://
github.com/MontrealAI/agi
alpha-first-real-loop
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AI as Scientist: Self-Driving Labs Accelerate Discovery
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AI Is Becoming A Scientist: How Self-Driving Labs Will Accelerate Discovery #AI is moving beyond assisting #scientists and taking an active role in #discovery, with self-driving labs that can design #experiments, run tests and learn from results. This article explores how
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Moving AI Agents Beyond the Prototype Stage
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AI agents fail when they stop at the prototype stage • Multimodal input
• Structured output
• APIs & interfaces
• Tools + memory + RAG Real value comes from usability, not capability alone. Via Giuliano Liguori (
@ingliguori
) #AI #AIAgents #Tech
