We’re excited to be collaborating with the OpenThoughts Agent team and @bespokelabsai on the release of OpenThoughts-TBLite.
OpenThoughts-TBLite is a 100-task benchmark calibrated for stronger iteration signal — especially for non-frontier terminal agents. Tasks have been
AGENTS
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OpenThoughts-TBLite: 100-Task Benchmark for AI Agents
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Agent Evaluation Ecosystem Advances with Dev Set V2
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A strong step forward for the agent evaluation ecosystem.
Available now on Hugging Face + GitHub. https://
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LangChain Hosts SF Tech Talk on the Future of Agents
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We’re thrilled to be hosting and speaking at @contrary 's next SF Tech Talk, featuring eng leads from @cognition_labs
, @elevenlabs
, and @andocorporation
. We'll be speaking to the future of agents. Each company will live demo their latest product features for leading builders -
Artificial Life: Creating Patterns Beyond Pattern Recognition
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artificiallife.eth "Artificial Intelligence is about recognising patterns, Artificial Life is about creating patterns." — Mizuki Oka et al. #ArtificialLife #ENS
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AI Agent Index: 1350 Data Fields on 30 State-of-the-Art Systems
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The AI Agent Index collected 1350 fields of information on 30 state-of-the-art systems. Check out the website for more findings & data: https://
bit.ly/4cDR0wl For questions or other inquiries, contact @StephenLCasper (scasper@mit.edu) & @LeonStaufer (lets2@cam.ac.uk). -
Foundation Model Concentration: AI Agent Ecosystem Risks
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Another core issue is the concentration of power. Almost all agents depend on 3 foundation model families (GPT, Claude, Gemini), creating potential concentrated points of failure across the ecosystem. There are also no established standards for how agents should behave on the
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US and China taking different approaches to agent development
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Beyond these insights, researchers found that developers in different countries (mainly the US & China) are taking markedly different approaches to agent development.
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Agent Data Protocol Accepted to ICLR 2026 Oral Presentation
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Updates: Excited to share that Agent Data Protocol (ADP) is accepted to ICLR 2026 Oral! 🎉 We also added support for 3 new datasets: SWE-Play, MiniCoder, and Toucan, bringing us to 3M trajectories supported. If you're training agentic LMs, try ADP + tell us what dataset/agent format you want next. PRs & requests welcome. Let's make this the open standard for agent training data 🔥 🚀Original post: nitter.net/yueqi_song/status/1983… 📄Read our paper: arxiv.org/abs/2510.24702 🌐Check our project website: agentdataprotocol.com
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Databricks AI Days: Hands-on Data and AI Training in 38 Cities
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Get hands-on with data and AI at Databricks AI Days. Join us in 38 cities to see how leading companies build data apps and AI agents that ship. You’ll get real-world customer use cases, live demos, and guided training designed for teams early in their Databricks journey. Find
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Internal Agents Communicate Tasks via Markdown Mail Files
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Our internal agents send "mail" to each other to hand off tasks, where "mail" are big md files…