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Create and run AI assistants on your own computer or server. Assign tasks, track progress, and let them follow up. Open source for individuals and teams.

Joined December 2024
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1/4 The most frustrating part of using AI for ops is not running commands--it is re-explaining your stack every session. Ephemeral chats forget which services exist, how hosts connect, and how you solved the exact same outage three weeks ago.
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3/4 When an issue is resolved, `server-ops` does not let the fix vanish into lost chat history. It logs the action under `operations/` and distills repeated fixes into `runbooks/`. When a similar alert fires next month, it references verified history instead of guessing.
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4/4 An ops agent should not be an amnesiac assistant re-briefed every morning. It should be a long-lived teammate whose understanding of your infra compounds over time. Docs & details: holon.run/templates/server-o… Run: holon agent create --template server-ops
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Most team AI platforms still isolate each person in a private session. In Holon, shared agents run on a team server and stay transparent to everyone: any teammate can view the agent's messages, inspect active work, and jump in to interact in the same thread. (1/5)
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保留每个人顺手的个人编码工具,把跨角色的调查、审阅和验收交接交给团队共享 Agent。 团队共享与 OIDC 配置指南: holon.run/zh-CN/guides/share… 131 天小团队 Agent Native 实践全文(中文版): holon.run/zh-CN/blog/agents-… (5/5)
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1/3 Organic discovery spans app stores and AI answer engines. We added two dedicated agent templates in Holon to handle them continuously: - ASO Steward - Search Visibility Steward Both run in your own environment with verifiable diffs. Details:
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2/3 ASO Steward (mobile app stores): - Audits metadata across App Store & Google Play - Enforces character budgets & de-duplication - Tracks competitor keyword overlaps - Delivers reviewable Fastlane PRs instead of live edits Template: github.com/holon-run/holon/t…
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3/3 Search Visibility Steward (Web + AI answers): - Dual tracking: Google SERP + Perplexity / ChatGPT citation presence - Turns missing citations into verifiable docs briefs - Keeps changes in git branches with before/after diffs Template: github.com/holon-run/holon/t…
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Most AI research agents stop at surface-level web summaries. They lose context across sessions and can't inspect actual codebase implementations. Here is how to set up an autonomous AI ecosystem researcher in Holon that persists and tracks real repositories. 🧵👇
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中文指南现已同步上线: 详细拆解如何基于 Holon 搭建自主生态研究 Agent——从知识库自动维护、动态挂载多项目 Workspace 交叉比对源码与 commit,到手机端随时分享链接一键发起后台异步调研。 完整实战教程: 👉 holon.run/zh-CN/guides/build…
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Holon v0.55.0 is out! For autonomous engineering agents, intelligence isn't the bottleneck--runtime resilience is. v0.55.0 hardens core execution: - Provider cooldown without losing tool state - Task recovery across daemon restarts Here is why this matters: (1/4)
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2/ Surviving restarts and crashes. If a host reboots while background commands run, memory-only agents lose state. Holon persists task lifecycles to disk. On reboot, startup recovery reconciles results, prevents starvation, and settles pending WorkItems safely. (3/4)
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Production agents cannot rely on fragile in-memory loops. They need OS-grade reliability: durable waits, rate-limit tolerance, and crash resilience. Check out the full Holon v0.55.0 release: github.com/holon-run/holon/r… (4/4)
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