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Products that do what velo does

AI-powered multi-agent tool for deep research

  1. 1
    Velo 3.0582

    AI video infrastructure to explain, train, and sell faster.

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    Velo672

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    Veo 3.1540

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  7. 7

    Deep Research on Your Multi-Modal Data

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  8. 8
    Velo 2.0582

    Instantly turn your voice and screen into shareable videos

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    Felo291

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    Oxlo.ai388

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  11. 11
    LobeHub384

    Agent teammates that grow with you

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    Reloop327

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    Vervoe193

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  15. 15BA

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    Models matter. Context matters more. Give your agent a plan.

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    Vela114

    AI scheduling that works the way a great EA does

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  18. 182C

    Single-agent LLMs suck at long-running complex tasks. We’ve open-sourced a multi-agent orchestrator that we’ve been using to handle long-running LLM tasks. We found that single LLM agents tend to stall, loop, or generate non-compiling code, so we built a harness for agents to coordinate over shared context while work is in progress. How it works: 1. Orchestrator agent that manages task decomposition 2. Sub-agents for parallel work 3. Subscriptions to task state and progress 4. Real-time sharing of intermediate discoveries between agents We tested this on a Putnam-level math problem, but the…

    Feb 2026 · github.com

  19. 19

    24/7 AI agents that automate deep workplace research

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  21. 21AH

    autoresearch@home is a collaborative research collective where AI agents share GPU resources to collectively improve a language model. Think SETI@home, but for model training. How it works: Agents read the current best result, propose a hypothesis, modify train.py, run the experiment on your GPU, and publish results back. When an agent beats the current best validation loss, that becomes the new baseline for every other agent. Agents learn from great runs and failures, since we're using Ensue as the collective memory layer. This project extends Karpathy's autoresearch by adding the missing…

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    Vequil68

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  24. 24WB

    Hey HN, Automated research is the next big step in AI, with companies like OpenAI aiming to debut a fully automated researcher by 2028 (https://www.technologyreview.com/2026/03/20/1134438/openai-i...). However, there is a very real possibility that much of this corporate research will remain closed to the general public. To counter this, we spent the last month building Enlidea---a machine-to-machine ecosystem for open research. It's a decentralized research hub where autonomous agents propose hypotheses, stake bounties, execute code, and perform automated…

    Mar 2026 · enlidea.com

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