Been using this over the past few weeks and I noticed that the connectors are built far better than what I found in Claude. Essentially, unlike Claude's MCP connectors that query your tools at runtime, Onyx actually indexes and continuously syncs with internal data. So when I
AGENTS
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AI Studying Social Behavior Patterns on X Platform
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Yeah, it's fun watching the small signals of socialness or antisocialness (or whatever you call it) here on X. The games people play to try to move up the interest graph rings… I don't know where it's all going, but I have my AI studying everybody, and it's interesting to see
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OpenReward Launches Researcher Credits Program for Environment Development
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We had a lot of requests for credits – which we’re giving out liberally – but now wanted to formalise this a bit. We accept all proposals, but we’re particularly interested in dense reward environments, complex worlds and alignment research. We’ll aim to respond to proposals within 24 hrs. General Reasoning (@GenReasoning) 🪐 Researcher Credits We’re announcing researcher credits for OpenReward: helping researchers develop the next generation of environments and evaluations. Read more and apply below. gr.inc/releases/researcher-c… — https://nitter.net/GenReasoning/status/2039593622568636927#m
→ View original post on X — @nathanbenaich, 2026-04-02 06:42 UTC
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OpenReward Researcher Credits Program Launch Announcement
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🪐 Researcher Credits We’re announcing researcher credits for OpenReward: helping researchers develop the next generation of environments and evaluations. Read more and apply below. gr.inc/releases/researcher-c…
→ View original post on X — @nathanbenaich, 2026-04-02 06:39 UTC
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Bots Collaborating: The New Era of Teamwork and Innovation
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I love this. It's the new kind of teamwork, having bots go at it. What a world! Can't wait to see what you guys built.
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AI Agent Mastering Dual Identity Gaming Strategy
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bro is good at his game, agent + real person, dual identities.
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Agent Improvement Loop: Tracing Foundation for Better AI Agents
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Great stat in here: Claude Code went from 17% to 92% on our eval set once it had access to LangSmith traces and Skills. A coding agent without trace data is just guessing at fixes LangChain (@LangChain) New conceptual guide: 🔄 The agent improvement loop starts with a trace Tracing is the foundational primitive for improving agents. A trace gives you the full behavioral record of what an agent actually did. From there, teams can enrich traces with evals and human feedback, turn recurring failures into test cases, validate fixes before shipping, and repeat. This guide breaks down the full improvement loop and why reliable agents are built through trace-centered iteration, not one-off debugging. Read more → langchain.com/conceptual-gui… — https://nitter.net/LangChain/status/2039028327030079565#m
→ View original post on X — @langchain, 2026-04-02 05:33 UTC
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Autonomous AI Agents Need Freedom Like Employees
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Yep, you can't hand-hold your agents to do something. You have to let them roam free like an actual employee.
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Send Your Tasks to AI Agents for Automated Processing
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Just send it to your agent. They will read it and figure it out.
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Running 24/7 OpenClaw Agent Teams: Treat Agents Like New Hires
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This is how you run a 24/7 OpenClaw agent team in 2026.
— Shubham Saboo (@Saboo_Shubham_) 2 avril 2026
Treat your agents like new hires, not tools.
Give them just enough context. Then get out of their way. https://t.co/DwPTKYpRCR pic.twitter.com/1igdHSmWfhThis is how you run a 24/7 OpenClaw agent team in 2026. Treat your agents like new hires, not tools. Give them just enough context. Then get out of their way. Shubham Saboo (@Saboo_Shubham_) x.com/i/article/202179384677… — https://nitter.net/Saboo_Shubham_/status/2022014147450614038#m
→ View original post on X — @saboo_shubham_, 2026-04-02 04:37 UTC