Average Ratings 1 Rating
Average Ratings 0 Ratings
Description
Crush is a sophisticated AI coding assistant that resides directly in your terminal, effortlessly linking your tools, code, and workflows with any large language model (LLM) you prefer. It features versatility in model selection, allowing you to pick from a range of LLMs or integrate your own through OpenAI or Anthropic-compatible APIs, and it facilitates mid-session transitions between these models while maintaining contextual integrity. Designed for session-based functionality, Crush supports multiple project-specific contexts operating simultaneously. Enhanced by Language Server Protocol (LSP) improvements, it offers coding-aware context similar to what developers find in their preferred editors. This tool is highly customizable, utilizing Model Context Protocol (MCP) plugins via HTTP, stdio, or SSE to expand its capabilities. Crush can be executed on any platform, utilizing Charm’s elegant Bubble Tea-based TUI to provide a refined terminal user experience. Developed in Go and distributed under the MIT license (with FSL-1.1 for trademark considerations), Crush empowers developers to remain in their terminal while benefiting from advanced AI coding support, thereby streamlining their workflow like never before. Its innovative design not only enhances productivity but also encourages a seamless integration of AI into everyday coding practices.
Description
omp (oh my pi) is an AI coding agent platform designed to give developers a fully integrated environment for software development, debugging, automation, and collaboration. Built as an enhanced evolution of the Pi coding harness, it connects AI models directly to language servers, debuggers, shells, browsers, memory systems, GitHub repositories, and local development tools without relying on separate plugins or external workflows. The platform supports more than 40 AI providers, allowing developers to switch between frontier models, coding plans, local models, and self-hosted AI services from a unified interface. omp includes advanced capabilities such as structural code editing, intelligent code review, persistent Python and JavaScript execution, browser automation, workflow orchestration, subagents, and collaborative live coding sessions. Developers can debug applications using integrated DAP support, perform semantic code analysis through LSP integration, and automate complex development tasks with specialized built-in tools. Its local memory system allows the agent to retain project knowledge across sessions while maintaining developer control over stored information. omp also introduces innovations such as hash-based code editing, deterministic context compaction, time-traveling stream rules, and content-aware retrieval that improve AI coding accuracy while reducing token usage. Built on a native Rust engine with support for Windows, macOS, and Linux, the platform emphasizes speed, low overhead, and deep integration with local development environments. As an MIT-licensed open-source project, omp gives developers an extensible AI coding platform that can be customized, audited, and expanded to match their own engineering workflows.
API Access
Has API
Yes
API Access
Has API
No
Integrations
Claude
Yes
GLM Coding Plan
Yes
GitHub Copilot
Yes
Go
Yes
LM Studio
Yes
Ollama
Yes
OpenAI
Yes
Alibaba AI Coding Plan
No
Anthropic
No
Claude Max
Yes
Integrations
Claude
Yes
GLM Coding Plan
Yes
GitHub Copilot
Yes
Go
Yes
LM Studio
Yes
Ollama
Yes
OpenAI
Yes
Alibaba AI Coding Plan
Yes
Anthropic
Yes
Claude Max
No
Pricing Details
Free
Free Trial
No
Free Version
Yes
Pricing Details
Free
Open source
Free Trial
No
Free Version
Yes
Deployment
Web-Based
No
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
Yes
Mac
Yes
Linux
Yes
Chromebook
No
Deployment
Web-Based
No
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
Yes
Mac
Yes
Linux
Yes
Chromebook
No
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
Charm
Founded
2019
Country
United States
Website
github.com/charmbracelet/crush
Vendor Details
Company Name
omp
Country
United States
Website
omp.sh/