Startup Ideas Bank
Meta-harness for AI agents lacks clarity and competitive edge.
AI roast score: 58/100 (D)
The idea
omnigent-ai/omnigent — A meta-harness for all your AI agents. Omnigent provides a common layer over Claude Code, Codex, Pi, and the agents you write yourself: swap or combine harnesses without rewriting, keep them in check with policies and sandboxing, and collaborate in real ti
Omnigent
A meta-harness for all your AI agents
Omnigent provides a common layer over Claude Code, Codex, Pi, and the agents you write yourself: swap or combine harnesses without rewriting, keep them in check with policies and sandboxing, and collaborate in real time on the same live session, from any device.
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. Use Claude Code, Codex, Pi, 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 , or
Islo 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:
curl -fsSL https://raw.githubusercontent.com/omnigent-ai/omnigent/main/scripts/install_oss.sh | sh
Prefer to install manually?
Omnigent needs Python 3.12+ . Install the omnigent package:
uv tool install omnigent # or: pip install "omnigent"
Or with Homebrew :
brew install omnigent-ai/tap/omnigent
Or install straight from the repo:
uv tool install -q --python 3.12 git+https://github.com/omnigent-ai/omnigent.git
Toolchain and prerequisites (if the installer reports a missing tool)
uv (required). https://docs.astral.sh/uv/getting-started/installation/
The installer offers to set this up for you.
git (required).
Node.js 22 LTS or newer with npm , for the Claude, Codex, and Pi
coding harnesses. omnigent run installs the harness CLI you pick.
https://docs.npmjs.com/downloading-and-installing-node-js-and-npm
tmux , r
The roast
Omnigent tries to be the universal solution for managing AI agents but falls into the classic trap of overpromising and underdelivering. The idea of a 'meta-harness' sounds impressive, but the execution is muddied by a lack of clear differentiation and an overwhelming feature set. Developers need clarity and simplicity, not a kitchen sink of functionalities. The global developer community (q6=global) is flooded with tools that offer specific, well-defined solutions, making your broad-spectrum approach seem unfocused.
The market for AI agents is indeed growing, but your product lacks a clear USP that would make it stand out amidst the noise. The absence of funding (q14=no_funding) raises questions about your ability to sustain and scale this ambitious project. Throwing in every functionality under the sun might seem like a good strategy on paper, but in reality, it dilutes your value proposition and confuses potential users. The reliance on multiple installations and prerequisites further complicates user onboarding, diminishing the appeal for developers who prioritize efficiency.
Red flags
- Lack of clear USP
- Overcomplicated feature set
- No funding
Verdict
Streamline your product and focus on a specific problem to solve effectively before scaling up.
Roast your own startup idea →