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Alternatives

Products that do what OpenHermit does

Operable agents platform

  1. 1

    Deploy your AI Agents in 60 seconds

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  2. 2
    Agenta362

    Open-source prompt management & evals for AI teams

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  3. 3
    Openbase216

    Manage your team of AI agents by voice, from anywhere

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  4. 4

    Everything in OpenClaw's terminal, you can now do visually

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  5. 5
    OpenBox171

    See, verify, and govern every agent action.

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    OpenClix148

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  7. 7

    Agents that ship real code

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  8. 8
    BU138

    Openclaw in the cloud

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  9. 9

    AI-assistant native self-hosted deployment platform

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  10. 10AV

    Hey HN! Today we're launching Agent Vault - an open source HTTP credential proxy and vault for AI agents. Repo is at https://github.com/Infisical/agent-vault, and there's an in-depth description at https://infisical.com/blog/agent-vault-the-open-source-crede.... We built Agent Vault in response to a question that been plaguing the industry: How do we give agents secure access to services without them reading any secrets? Most teams building agents have run into this exact problem: They build an agent or agentic system and come to realize at some point…

    Apr 2026 · github.com

  11. 11

    The open-source AI workstation for coding, ops, and life

    Apr 2026

  12. 12

    The CLI your coding agent uses to ship agents

    Jul 2026 · github.com

  13. 13

    Open-source runtime for durable AI agents

    May 2026 · orkes.io

  14. 14
    OpenMolt132

    Let your code create and manage AI Agents (OpenSource)

    Mar 2026

  15. 15AD

    I've been building computer-use tools for a while, and I quietly launched this about a month ago (122 Stars on GH). I figured it was worth sharing here. Over the last few months, a lot of computer-use agents have come out: Codex, Claude Code, CUA, and others. Most of them seem to work roughly like this: 1. Take a screenshot 2. Have the model predict pixel coordinates 3. Click x,y 4. Take another screenshot 5. Repeat That works, but it's slow, expensive in tokens, and fragile. If the UI shifts a few pixels, things break. And the model still doesn't know what any element actually is. But the…

    May 2026 · github.com

  16. 16AO

    Hi! I’m Nathan: an ML Engineer at Mozilla.ai: I built agent-of-empires (aoe): a CLI application to help you manage all of your running Claude Code/Opencode sessions and know when they are waiting for you. - Written in rust and relies on tmux for security and reliability - Monitors state of cli sessions to tell you when an agent is running vs idle vs waiting for your input - Manage sessions by naming them, grouping them, configuring profiles for various settings I'm passionate about getting self-hosted open-weight LLMs to be valid options to compete with proprietary closed models. One…

    Jan 2026 · github.com

  17. 17GF

    hi guys. been working on something i think is fundamentally missing in today's workflow with ai agents. vcs. i find myself struggling with questions that agents can't answer like "why did you do it?", "when did u delete this folder? why?", etc. or trying to /rewind (after a /compact...) or basically `bisect` to find when and why something was done by the agent in the current / previous session. just like git did for code, i think we are the same core capabilities with ai agents so... i developed an open source solution for that (currently supporting claude code) would love to…

    May 2026 · github.com

  18. 18

    13,000+ MCP servers, skills & plugins for AI coding agents

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  19. 19

    Open-source browser automation for local AI agents

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  20. 202C

    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

  21. 21OA

    Hi HN, we're Kiran and Vijay! Over the past two years, we have built a columnar storage engine for observability: logs, metrics, and traces. Today, it's exciting for us to show what we've built on top of that foundation: LLM Agent Observability. Given how non-deterministic agents are, storing all traces without sampling was critical for us. But these traces tend to be in the MBs, sometimes GBs - we needed to store them inexpensively. We also needed the queries and analyses to be fast. To meet both these goals, we store them in S3 in our own parquet-like file format, and query them using AWS…

    Jul 2026 · oodle.ai

  22. 22AO
  23. 23CB

    Clink lets you use the coding agents you already pay for (Claude Code, Codex CLI, Gemini CLI, Z.ai GLM) to build → live-preview → ship apps in an isolated container. No token purchases, no extra cost for coding. Just link your existing Claude/OpenAI/Gemini account and start building and deploying instantly. Why we built this: Claude Code is our go-to for coding, but it lacked preview + deploy capabilities. We didn't want to pay Lovable again just for that. Different agents excel at different tasks - Claude Code for versatility, Codex for complex work, GLM for speed. We needed one…

    Oct 2025 · clink.new

  24. 24

    Keep your OpenClaw agents running. Free beta, no code change

    Apr 2026

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