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omnigent-ai/omnigent

Omnigent is an open-source AI agent framework and meta-harness: orchestrate Claude Code, Codex, Cursor, Pi,…

装之前:没有可直接复制的命令 · 许可证 Apache-2.0 · 链接可访问

第一步:uv tool install omnigent # or: pip install "omnigent"

在 GitHub 查看 ↗链接已于 2026-11-12 核查 · HTTP 200 · 打开的是厂商自己的官网
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11,370 ★ · omnigent-ai/omnigent · 取自 GitHub 搜索 API · (2026-11-13 20:00:50 核对)
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收录于 2026-11-06 · 最近见到 2026-11-14 · 共见到 9 次 · 被 1 个来源列出
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仓库 omnigent-ai/omnigent;我们收录于 2026-11-06;最近见到 2026-11-14。这里没有"官方认证"或"质量评级"——我们只记录来源与时间。

# Omnigent

以下摘录自该仓库的 README(片段) · 在 GitHub 读完整 README →

### The open-source meta-harness for all your AI agents.
Omnigent is an open-source meta-harness that gives you a common orchestration layer over Claude Code, Codex, Cursor, OpenCode, Goose, Antigravity, GitHub Copilot, Devin, Kiro, Qwen Code, Kimi Code, Grok Build, Jcode, Hermes, Pi, OpenAI Agents / Open Responses, and the agents you write yourself: swap or combine harnesses without rewriting, enforce policies and sandboxing, and collaborate in real time from any device — terminal, browser, phone, or the native desktop app.
omnigent.ai · ⬇️ Download the macOS desktop app
## Why Omnigent?
Omnigent lets you:
📱 Work with agents from any device, including your phone. Sessions
follow you: start in your terminal, continue in the browser, pick it up on
your phone. Messages, sub-agents, terminals, and files stay in sync.
🤖 Supervise multiple agents. Mix Claude Code, Codex, Cursor, OpenCode,
Goose, Antigravity, GitHub Copilot, Devin, Kiro, Qwen Code, Kimi Code, Grok
Build, Jcode, Hermes, Pi, OpenAI Agents / Open Responses, and custom agents
(defined in YAML) together in the same session. Ask one agent to review another's work, or split a task across
agents that are each good at different things.
🔌 Use any model. A first-party API key, a Claude/ChatGPT subscription,
or any compatible gateway. All first-class.
🤝 Collaborate. Share a session so teammates can chat with your agent
and watch it work live, co-drive it on your machine, or fork the
conversation to continue on their own.
☁️ Run agents in cloud sandboxes. No laptop required: run sessions in
disposable Modal, Daytona,
Blaxel,
Islo, E2B,
Gensee,
CoreWeave,
Kubernetes, OpenShell,
Boxlite,
microsandbox, or
Databricks sandboxes, launched from the
CLI or provisioned by the server per session (managed hosts).
🛡️ Govern your agents. Create
policies to pause for your approval
before risky actions, cap spend, or limit which tools an agent reaches.
They apply to the whole server, one agent, or a single chat.
## Quick start
### 1. Install
One command installs Omnigent and everything it needs:
bash
curl -fsSL https://raw.githubusercontent.com/omnigent-ai/omnigent/main/scripts/installoss.sh | sh
The installer includes Databricks support and installs the Databricks CLI
alongside Omnigent, or reuses an existing CLI that supports workspace login.
Pass --no-databricks to omit them.
Optional integrations and extras
Need an optional integration? Pass one or more extras to the installer:
bash
curl -fsSL https://raw.githubusercontent.com/omnigent-ai/omnigent/main/scripts/installoss.sh | sh -s -- --extra modal,e2b
The Antigravity SDK extra conflicts with Databricks dependencies. Install it
with --no-databricks --extra antigravity.
Available user-facing extras include:
Model providers: databricks (included by default), bedrock, vertex
Sandbox providers: modal, daytona, blaxel, boxlite, microsandbox,
cwsandbox, e2b, openshell, kubernetes
SDK harnesses: antigravity, copilot, cursor, agents-sdk
Storage and memory: s3, hindsight
Prefer to install manually?
Omnigent needs Python 3.12+. Install the omnigent package:
bash
uv tool install omnigent # or: pip install "omnigent"
Manual installs use the same extras syntax, for example:
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来源
github · https://github.com/omnigent-ai/omnigent
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