Average Ratings 1 Rating

Total
ease
features
design

Average Ratings 0 Ratings

Total
ease
features
design
support

No User Reviews. Be the first to provide a review:

Write a Review

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

Condense.chat is an innovative API designed for compressing input for language models, functioning as a drop-in proxy that effectively reduces the size of prompts, retrieved documents, tool outputs, and recurring agent contexts prior to reaching the main models. By minimizing context while maintaining the integrity of Claude Code, it intercepts an agent's expanding session history and processes it through compression models, enabling long-running coding agents to operate with fewer tokens at the start of each new turn. Acting as an intermediary between applications and upstream LLM providers, Condense meticulously tracks conversations as a content-addressed chain, seamlessly compressing any repeated context along the way. Developers can easily integrate this system by directing their SDK to the Condense provider route, adding a Condense key, and retaining their existing provider key without needing to make any additional changes. Compatibly, it supports routes for both Anthropic and OpenAI, and also offers pass-through functionalities for other provider pathways, including model lists and embeddings, ensuring a versatile integration. This makes it an invaluable tool for optimizing interactions with language models while enhancing overall efficiency in processing and managing session data.

API Access

Has API Yes 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

Claude Yes 
OpenAI Yes 
Anthropic No 
ChatGPT No 
Claude Code No 
Claude Max Yes 
FreeBSD Yes 
GLM Coding Plan Yes 
Gemini Enterprise Agent Platform Yes 
GitHub Copilot Yes 
Go Yes 
JSON Yes 
LM Studio Yes 
Model Context Protocol (MCP) Yes 
NetBSD Yes 
OAuth Yes 
OpenBSD Yes 
OpenCode No 
OpenSpec Yes 
PowerShell Yes 

Integrations

Claude Yes 
OpenAI Yes 
Anthropic Yes 
ChatGPT Yes 
Claude Code Yes 
Claude Max No 
FreeBSD No 
GLM Coding Plan No 
Gemini Enterprise Agent Platform No 
GitHub Copilot No 
Go No 
JSON No 
LM Studio No 
Model Context Protocol (MCP) No 
NetBSD No 
OAuth No 
OpenBSD No 
OpenCode Yes 
OpenSpec No 
PowerShell No 

Pricing Details

Free
Free Trial No 
Free Version Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version 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 

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

condense.chat

Country

United States

Website

condense.chat/

Product Features

Alternatives

OpenCode Reviews

OpenCode

Anomaly Innovations

Alternatives

Factory Droid Reviews

Factory Droid

Factory.ai
Auggie CLI Reviews

Auggie CLI

Augment Code
Xirp Reviews

Xirp

Spotify
Condense Reviews

Condense

Zeliot