omnigent logo
omnigent
★ 11.0k
vs
unterm logo
unterm
★ 15

omnigent vs unterm

omnigent: Omnigent is an open-source meta-harness providing a unified orchestration layer for various AI agents, including commercial and custom ones. It enables cross-device collaboration, multi-agent supervision, policy enforcement, and execution in secure cloud sandboxes.; unterm: Unterm is a cross-platform terminal designed to be controlled externally by AI agents via a JSON-RPC API, enabling sophisticated automation and integration. It features an 'Agent Cockpit' for managing multiple agents, offering live state, an Inbox, task-specific fleets in isolated worktrees, and a robust review process for agent-generated code.

01

TL;DR

omnigent logo
omnigentMulti-Agent · ★ 11.0k

Orchestrating complex development or research tasks with multiple specialized AI agents.

unterm logo
untermMulti-Agent · ★ 15

Orchestrating multiple AI agents for complex development tasks, such as code generation, refactoring, and testing.

02

Side-by-Side Comparison

Field
omnigent logoomnigent
unterm logounterm
Category
Multi-Agent
Multi-Agent
Stars
★ 11.0k
★ 15
License
Apache-2.0
NOASSERTION
Install Command
curl -fsSL https://raw.githubusercontent.com/omnigent-ai/omnigent/main/scripts/install_oss.sh | sh
sudo apt install ./unterm-<version>.deb
Updated
1d ago
2d ago
Open Source
Yes
Yes
Tags
AI Agent Orchestration, Multi-Agent System, LLM Harness
Terminal, AI Agent Orchestration, Cross-Platform
03

Features

omnigent logoomnigent
01Cross-device agent interaction (terminal, browser, phone)
02Multi-agent supervision and combination from various vendors
03Secure execution in disposable cloud sandboxes
04Granular policy enforcement for agent actions and spending
05Real-time team collaboration with session sharing and co-driving
unterm logounterm
01External AI Agent Control via MCP Server
02Agent Cockpit for Multi-Agent Management
03Web Settings UI for Configuration
04Cross-Platform Compatibility with Parity
05Identity Profiles for Secure Context Switching
04

Use Cases

omnigent logoomnigent
↳Orchestrating complex development or research tasks with multiple specialized AI agents.
↳Collaboratively brainstorming ideas and receiving multi-perspective critiques from different LLMs.
↳Running and supervising AI agents in secure, disposable cloud environments.
↳Enforcing governance and cost controls over AI agent activities in team settings.
unterm logounterm
↳Orchestrating multiple AI agents for complex development tasks, such as code generation, refactoring, and testing.
↳Reviewing and merging code changes produced by AI agents within a structured, checkpointed workflow.
↳Automating terminal interactions and command execution via external scripts or AI models through a standardized API.
↳Managing different development environments and identities (e.g., work vs. personal) with isolated profiles for security and clarity.
05

Best For

omnigent logoomnigent
Most Popular
unterm logounterm
—
FAQ

FAQ

What is the difference between omnigent and unterm?
Both omnigent and unterm are in the Multi-Agent category. omnigent has 11.0k stars, while unterm has 15 stars.
Which is better, omnigent or unterm?
The best choice depends on your use case. Choose omnigent if Orchestrating complex development or research tasks with multiple specialized AI agents., and unterm if Orchestrating multiple AI agents for complex development tasks, such as code generation, refactoring, and testing..
Is omnigent free or open source?
Yes, omnigent is open source on GitHub (Apache-2.0).
Is unterm free or open source?
Yes, unterm is open source on GitHub (NOASSERTION).
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