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What is Omnara?

Omnara is an open-source platform for developers who want to put AI agents into real products and team workflows. It provides a single API for running agents, tracking their state, and interacting with them, so you don’t have to build an agent management system from scratch. You can create agents for your product’s dashboard, give your team an agent they can use in Slack, or build workflows for tasks such as code review. The REST API, TypeScript SDK, and CLI let you launch agents, send them instructions, respond to requests, and see what they’re doing. If an agent’s work is interrupted, its saved state lets it resume. Omnara gives you control over the components behind each agent. Bring your own model and API keys, connect compatible model endpoints, and choose between managed sandboxes and your own machines. MCP integrations and reusable skills help agents work with external tools and data. Teams can organize agents by project, set access permissions, store credentials as encrypted secrets, and require human approval before sensitive tool actions. Omnara also keeps a record of agent activity so teams can review what happened. You can use the managed Omnara Cloud service or self-host the open-source platform in your own environment.

What is Crush?

Crush is an advanced AI coding assistant that operates directly within your terminal, seamlessly connecting your tools, code, and workflows with the large language model (LLM) of your choice. It offers a versatile model selection, enabling users to choose from an array of LLMs or to implement their own through APIs compatible with OpenAI or Anthropic, while also allowing for mid-session changes between models without losing context. Built with session-based functionality in mind, Crush supports multiple project-specific contexts running concurrently. With enhancements from Language Server Protocol (LSP), it delivers coding-aware context akin to that found in popular developer editors, elevating the coding experience. The tool boasts high customizability through Model Context Protocol (MCP) plugins, which can be utilized via HTTP, stdio, or SSE to broaden its functionalities. Crush can run on any operating system, utilizing Charm’s refined Bubble Tea-based terminal user interface for an elegant experience. Developed in Go and available under the MIT license (with FSL-1.1 for trademark considerations), Crush allows developers to work within their terminal while enjoying sophisticated AI coding assistance, significantly optimizing their workflows. Its groundbreaking design not only boosts productivity but also fosters a smooth integration of AI into the daily routines of programmers, making coding more efficient and enjoyable than ever before. Moreover, the continuous evolution of its features ensures that users will always have access to the latest advancements in AI-assisted coding.

Media

Media

Integrations Supported

GitHub Copilot
Claude Code
Cursor

Integrations Supported

GitHub Copilot
Amazon Bedrock
Claude
Claude Max
FreeBSD
GLM Coding Plan
Gemini Enterprise Agent Platform
Go
JSON
LM Studio
Model Context Protocol (MCP)
NetBSD
OAuth
Ollama
OpenAI
OpenBSD
OpenSpec
PowerShell

API Availability

Has API

API Availability

Has API

Pricing Information

Free
Free, Open Source
Free Version

Pricing Information

Free
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Mac

Supported Platforms

Windows
Mac
Linux

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

Standard Support
Web-Based Support

Training Options

Documentation Hub
On-Site Training

Training Options

Documentation Hub
On-Site Training

Company Facts

Organization Name

Omnara

Date Founded

2026

Company Location

United States

Company Website

omnara.com

Company Facts

Organization Name

Charm

Date Founded

2019

Company Location

United States

Company Website

github.com/charmbracelet/crush

Categories and Features

Agentic AI

Not specified

AI Coding Agents

Not specified

Categories and Features

Agentic AI

Not specified

AI Coding Agents

Not specified

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