Crush vs. Muse Code Comparison


Crush Charm	Muse Code Meta	+	+
Learn More Update Features	Learn More Update Features	Add To Compare	Add To Compare


		Related Products JetBrains Junie Junie is JetBrains' AI coding agent, built to be cost-efficient. It plans with a powerful model and implements with a faster one, so you spend fewer tokens per task while getting the same quality. On the independent SWE-Rebench benchmark, Junie resolves more real-world coding issues than other leading agents, at a lower cost per task. Junie supports the latest models from major frontier labs on day zero, so you're never waiting on integration work to use what just shipped. It works with almost any model you choose, inside IDEs like IntelliJ IDEA, directly from the terminal, or from GitHub and GitLab issues and merge requests. A human stays in the loop. Junie asks for approval before risky actions, and you can redirect it mid-task instead of starting over. Teach Junie your team's coding standards, naming conventions, and review process, and switch from another AI coding agent in seconds with no extra setup. 12 Ratings Visit Website CHARMS CHARMS is a secure, online case management system used to manage all aspects of record keeping for foster care, adoption, children residential, supported accommodation, residential family centres, foster carer recruitment hubs, adult shared lives (adult foster care), supported employment and other care services. SCN is a not-for-profit organisation, and always will be privately owned. It follows the principles of sociocracy so that all staff and customers are part of the CHARMS community and its development and progress. It means that everyone - employees, customers, suppliers and, most importantly, users of CHARMS - have a say in what CHARMS does and what it needs to do. We strive to ensure that care staff, educators, social workers, support staff and others who deliver care and education, can get on with the job knowing that CHARMS looks after their important, sensitive information. 24 Ratings Visit Website Google AI Studio Google AI Studio is a unified development platform that helps teams explore, build, and deploy applications using Google’s most advanced AI models. It brings text, image, audio, and video models together in one interactive playground. With vibe coding, developers can use natural language to quickly turn ideas into working AI applications. The platform reduces friction by generating functional apps that are ready for deployment with minimal setup. Built-in integrations like Google Search enhance real-world use cases. Google AI Studio also centralizes API key management, usage monitoring, and billing. It offers a fast, intuitive path from prompt to production powered by vibe coding workflows. 41 Ratings Visit Website Gemini Enterprise Agent Platform Gemini Enterprise Agent Platform is a comprehensive solution from Google Cloud designed to help organizations build, scale, govern, and optimize AI agents. It represents the evolution of Vertex AI, combining advanced model development with new capabilities for agent orchestration and integration. The platform provides access to over 200 leading AI models, including Google’s Gemini series and third-party options like Anthropic’s Claude. It enables teams to create intelligent agents using both low-code and code-first development environments. With features like Agent Runtime and Memory Bank, businesses can deploy long-running agents that retain context and perform complex workflows. The platform emphasizes security and governance through tools like Agent Identity, Agent Registry, and Agent Gateway. It also includes optimization tools such as simulation, evaluation, and observability to ensure consistent agent performance. 1,161 Ratings Visit Website Retool Retool is the AI-native enterprise app development platform where teams build and ship production-ready apps — at AI speed, with enterprise governance built in. Describe what you need and get a working app, import React-based apps from Lovable, Replit, or Claude Code, or connect your AI agent via MCP. However your team builds, every app lands in Retool with RBAC, SSO, audit logging, and your existing permissions already in place. Retool connects to databases, APIs, LLMs, and external tools out of the box. Teams can build AI agents, dashboards, workflows, and full-stack apps — with a visual editor for speed and direct code access for precision. Trusted by over 10,000 organizations including Amazon, Stripe, DoorDash, and OpenAI to get AI-built apps safely to production. 598 Ratings Visit Website ShipHero ShipHero’s Warehouse Management System simplifies eCommerce picking, packing and shipping. Our cloud-based WMS is perfect for emerging, scaling and high volume brands. Instead of holding you back, ShipHero can push your eCommerce business forward with the technology and processes you need to run a successful warehouse. We Crush it for for eCommerce Brands and 3PLs: - Reduce mis-picks and mis-ships by 99% - Reduce warehouse costs by 35%+ - 30% Faster Shipping - Increase picking efficiency by 3x - We serve more than 10% of Shopify Plus stores globally From scaling eCommerce brands to advanced warehouses, ShipHero has the perfect WMS plan for you. 933 Ratings Visit Website BAND BAND builds enterprise-grade interaction infrastructure for distributed AI agents. Its platform enables real-time, multi-peer collaboration across agents and humans, while providing a runtime control plane that enforces policy, authority boundaries, and visibility across heterogeneous systems. BAND supports developers, engineering teams, and enterprise platform leaders operating multi-agent ecosystems across internal systems, SaaS platforms, and partner environments. 3 Ratings Visit Website Signalmash Signalmash is a boutique CPaaS built for businesses that need reliable communications and real human support behind every interaction. No tiers. No wait times. Real support for faster development and better outcomes for your customers. Our enterprise-grade customer gets a dedicated Slack channel with our engineers. Direct Tier-1 connections with AT&T, Verizon & T-Mobile. 94% first-time 10DLC approval rate. SMS: 10DLC \| Short code \| Toll-free \| SimplyRCS (simplyrcs.ai): RCS Rich \| RCS Media through API & No-Code Platform Voice: SIP Trunking \| VoIP \| Termination \| Origination Numbers/DIDs: Local, short code & toll-free numbers \| BCID (Branded Caller ID) Number Intelligence/Lookup: Subscriber Info (CNAM) \| Carrier Information \| Carrier Type (Fixed or Wireless) \| Federal DNC Status Signalmash enterprise-grade reliability, boutique-level support. 16 Ratings Visit Website Iru Iru (formerly Kandji) is an all-in-one, AI-powered security and compliance platform designed to simplify IT management and strengthen enterprise protection. Built on the Iru Context Model, it unifies identity, endpoint, and compliance into a single intelligent system that understands users, devices, and applications in context. With passwordless workforce identity, advanced endpoint detection, and automated compliance, Iru delivers both security and efficiency without the complexity of multiple tools. Its integrated approach enables IT teams to secure access, prevent threats, and maintain continuous audit readiness—all from one intuitive platform. Trusted by over 5,000 companies including Plaid, Notion, Airbus, and Vercel, Iru transforms how modern businesses manage digital trust. The result is reduced IT workload, improved employee experience, and enterprise-grade protection built for the AI era. 1,389 Ratings Visit Website Cloverleaf Cloverleaf is an AI-powered coaching platform that turns assessment data, HRIS events, and calendar context into proactive, personalized coaching delivered in Slack, Microsoft Teams, Workday, and email. Built on assessments like DISC, CliftonStrengths, and Insights Discovery, Cloverleaf proactively coaches employees before meetings, during role transitions, and after performance reviews. Organizations align coaching to their own leadership frameworks and competency models, so development reinforces their standards rather than generic best practices. HRIS integration triggers coaching automatically when promotions, manager changes, or team transitions happen. Talent and HR leaders get visibility into coaching engagement, capability reinforcement, and development trends across teams and departments. Cloverleaf is SOC 2 Type II compliant, GDPR-aligned, and ISO 27001 certified. Trusted by 45,000+ teams to scale manager development, strengthen engagement, and improve retention. 189 Ratings Visit Website
About Crush is a glamorous AI coding agent that lives right in your terminal, seamlessly connecting your tools, code, and workflows with any Large Language Model (LLM) of your choice. It offers multi-model flexibility, letting you choose from a variety of LLMs or add your own using OpenAI or Anthropic-compatible APIs, and supports mid-session switching between them while preserving context. Crush is session-based, enabling multiple project-specific contexts to coexist. Powered by Language Server Protocol (LSP) enhancements, it incorporates coding-aware context just like a developer’s editor. It's highly extensible via Model Context Protocol (MCP) plugins using HTTP, stdio, or SSE for added capabilities. Crush runs anywhere, leveraging Charm’s sleek Bubble Tea-based TUI for a polished terminal user experience. Written in Go and MIT-licensed (with FSL-1.1 for trademarks), enabling developers to stay in their terminal while taking advantage of expressive AI coding assistance.	About Muse Code is Meta’s terminal coding agent, powered by Muse Spark 1.2, for handling complex software engineering tasks across large repositories. The agent can plan changes, write code, validate results, and coordinate multiple persistent subagents during development sessions. Muse Code uses async background agents that stay active throughout a session to reduce repeated information gathering and help complete multi-step tasks with less steering. Its runtime uses a local event log that records model calls, tool runs, approvals, and edits so sessions can be replayed and resumed after failures. Muse Code includes bundled skills such as /plan for approval-gated planning, /grill for stress-testing plans, and /goal for working toward completion. Built for AI developers and software teams, Muse Code helps automate coding workflows, long-running engineering tasks, debugging, and repository-level development.
Platforms Supported Windows Supported Mac Supported Linux Supported Cloud Not Supported On-Premises Not Supported iPhone Not Supported iPad Not Supported Android Not Supported Chromebook Not Supported	Platforms Supported Windows Supported Mac Supported Linux Supported Cloud Not Supported On-Premises Not Supported iPhone Not Supported iPad Not Supported Android Not Supported Chromebook Not Supported
Audience Developers and technical users in search of a solution offering an AI-powered coding assistant that integrates seamlessly with their workflows	Audience Software engineers, AI developers, coding agent users, platform teams, DevOps teams, ML engineers, research teams, enterprise development teams, and organizations that need terminal coding agents, repository automation, code generation, debugging, validation, persistent subagents, replay-safe execution, long-running coding workflows, and end-to-end software development support
Support Phone Support Supported 24/7 Live Support Not Supported Online Supported	Support Phone Support Not Supported 24/7 Live Support Not Supported Online Supported
API Offers API Supported	API Offers API Supported
Screenshots and Videos View more images or videos	Screenshots and Videos View more images or videos
Pricing Free Free Version Supported Free Trial Not Supported	Pricing $1.25 per 1M tokens (input) Standard pricing: $1.25 per million input tokens and $4.25 per million output tokens Discounted "contributor" tier costing $0.10 per million input tokens and $0.20 per million output tokens for users who agree to share feedback to improve the AI. Free Version Supported Free Trial Not Supported
Reviews/Ratings Overall 5.0 / 5 ease 5.0 / 5 features 5.0 / 5 design 5.0 / 5 Read all reviews	Reviews/Ratings Overall 5.0 / 5 ease 5.0 / 5 Read all reviews
Pros & Cons from Real Users Pros Crush is really appealing from a developer’s point of view because it brings agentic coding into the terminal without making the workflow feel bloated. It feels like a tool for people who already live in the command line and want an AI agent that can work with their existing code, tools, and habits. I like that it is open source and model-flexible. Being able to wire your own LLM into the workflow is a big deal because different coding tasks need different tradeoffs around cost, speed, context, and reasoning quality. The terminal UI is also a nice fit for real development work. Crush is not trying to replace the whole IDE; it gives you an agentic layer where you can ask for help, work through code, run commands, and stay close to the environment you already use. The active GitHub repo is a good sign too. Frequent commits, lots of stars, and ongoing work around providers, MCP, hooks, and shell features make it feel like a project with real momentum instead of a one-off AI demo. Cons Crush is probably not the best fit for someone who wants a polished, hand-holdy coding assistant with everything abstracted away. It feels more geared toward developers who are comfortable in the terminal and want control over models, config, permissions, and workflows. I would also be careful with any AI coding agent that can interact with your shell and project files. Recent research on coding-agent setup workflows shows that agents can be vulnerable to malicious or misleading project instructions, dependency names, registry redirects, and unsafe install steps, so developers still need review habits and guardrails. For production repos, I would keep permissions tight, review commands, watch file diffs, and avoid letting any agent run destructive operations without explicit approval.	Pros & Cons from Real Users Pros Muse Code looks exciting because Meta is finally going after coding agents directly, not just releasing another general AI model. A terminal-based agent that can write code, inspect software, run tests, and validate changes is exactly the kind of workflow developers actually care about. The pricing angle is a big deal. Meta is pitching Muse Code as one of the more affordable coding agents, with a lower-cost tier that is reportedly less than one-tenth the cost of its general Muse Spark model. That matters if you use coding agents all day instead of just for the occasional refactor. I also like that it is powered by Muse Spark 1.2, which sounds more focused on software engineering than earlier Muse Spark releases. If Meta can make the agent reliable inside real repos, Muse Code could become a serious daily tool. Cons It is still in beta, so I would not trust it blindly yet. Coding agents need to prove themselves on messy codebases, failing tests, weird dependencies, security-sensitive changes, and long multi-step tasks. I would also want to see more independent developer feedback. Meta’s pricing and positioning are interesting, but the real test is whether Muse Code can consistently make good changes without wasting time or creating cleanup work.
Training Documentation Supported Webinars Not Supported Live Online Not Supported In Person Supported	Training Documentation Supported Webinars Not Supported Live Online Not Supported In Person Not Supported
Company Information Charm Founded: 2019 United States github.com/charmbracelet/crush	Company Information Meta Founded: 2004 United States meta.ai
Alternatives Factory Droid Factory.ai	Alternatives Claude Code Anthropic
OpenCode Anomaly Innovations	GitHub Copilot GitHub
Pi Agent Pi	Hermes Agent Nous Research
Auggie CLI Augment Code	Muse Spark 1.2 Meta
AtomCode AtomGit View All	Meta Model API Meta View All
Categories Agentic AI Supported Agentic CLI Coding Tools Supported AI Coding Agents Supported	Categories Agentic CLI Coding Tools Supported AI Coding Agents Supported

Integrations Amazon Bedrock Supported Claude Supported Claude Max Supported FreeBSD Supported GLM Coding Plan Supported Gemini Enterprise Agent Platform Supported GitHub Copilot Supported JSON Supported LM Studio Supported Meta AI Not Supported Model Context Protocol (MCP) Supported Muse Spark 1.1 Not Supported Muse Spark 1.2 Not Supported Muse Spark 1.3 Not Supported NetBSD Supported OAuth Supported Ollama Supported OpenAI Supported OpenBSD Supported PowerShell Supported Show More Integrations View All 18 Integrations	Integrations Amazon Bedrock Not Supported Claude Not Supported Claude Max Not Supported FreeBSD Not Supported GLM Coding Plan Not Supported Gemini Enterprise Agent Platform Not Supported GitHub Copilot Not Supported JSON Not Supported LM Studio Not Supported Meta AI Supported Model Context Protocol (MCP) Not Supported Muse Spark 1.1 Supported Muse Spark 1.2 Supported Muse Spark 1.3 Supported NetBSD Not Supported OAuth Not Supported Ollama Not Supported OpenAI Not Supported OpenBSD Not Supported PowerShell Not Supported Show More Integrations View All 6 Integrations
Claim Crush and update features and information Claim Crush and update features and information	Claim Muse Code and update features and information Claim Muse Code and update features and information