Is Atlas truly open source, unlike Crush's FSL-1.1-MIT license?

Yes, Atlas offers a free core without the commercial-compete restrictions found in Crush's FSL-1.1-MIT license, providing full open source freedom for all users.

How does Atlas ensure safety and control over AI actions?

Atlas implements robust safety features, including permission-gated tool calls, a read-only plan agent for approval, and unified diffs for every file edit before writing.

Can Atlas understand my code as well as Crush's LSP integration?

Atlas indexes code by AST declarations using tree-sitter, offering a deep, structured understanding. It also searches code with hybrid semantic and keyword retrieval.

Does Atlas support Model Context Protocol like Crush?

Yes, Atlas connects to Model Context Protocol servers and exposes their tools to the agent, alongside its own powerful plugin system for extensibility.

Is Atlas limited to local execution like Crush?

No, Atlas is a terminal-native TUI that runs in your shell, making it suitable for both local and remote development environments, unlike Crush's purely local nature.

What is the pricing model for Atlas compared to Crush?

Atlas offers a free core, requiring you to bring your own model keys. Crush also has a free CLI but charges for Charm Hyper credits beyond 100 free per month.

How does Atlas handle code privacy?

Atlas can build its code index with local Ollama embeddings, ensuring that your sensitive code remains entirely within your local environment and off third-party servers.

Atlas: The Best Alternative to Crush for AI Coding in 2026

In 2026, Atlas emerges as a compelling alternative to Crush, offering developers a terminal-native AI coding agent with enhanced safety, deeper code understanding, and true open source freedom. Unlike Crush's FSL-1.1-MIT license, Atlas provides a free core, allowing unrestricted use and modification.

Unrestricted Open Source Licensing

For developers evaluating AI coding agents in 2026, Atlas offers a truly open source core, a significant distinction from Crush's FSL-1.1-MIT license which includes a two-year commercial-compete restriction. This means Atlas provides unrestricted freedom for commercial and personal projects.

While Crush is source-available, its FSL-1.1-MIT license with a two-year commercial-compete restriction means it is not OSI open source today, potentially limiting its use in certain commercial contexts. Atlas, conversely, provides a free core, allowing developers to integrate and modify the agent without such restrictions. This commitment to open source principles ensures maximum flexibility and community contribution. Atlas ships as a single self-contained binary, making it easy to deploy and manage within any development environment.

Granular Control Over AI Actions

Unlike Crush, which states it has "no proprietary harness layer" and relies entirely on the model for output quality, Atlas provides robust safety mechanisms. Every Atlas tool call is permission-gated against allow, ask, and deny rules before it runs, giving developers explicit control over agent actions in 2026.

Atlas prioritizes developer control and safety. Atlas drafts a plan in a read-only plan agent and asks before switching to a build agent, ensuring transparency and approval at critical junctures. Furthermore, Atlas computes a unified diff for every file edit and surfaces it for approval before writing, allowing developers to review and accept or reject proposed changes. This contrasts with Crush's approach, where the absence of a proprietary harness layer means output quality and safety are solely a function of the underlying model. Atlas also snapshots file changes as git patches so edits can be diffed and rolled back, providing an additional layer of safety and version control.

Superior Code Indexing and Retrieval

While Crush offers LSP integration to feed real language-server context to its models, Atlas takes a different approach to code understanding. Atlas indexes code by AST declarations using tree-sitter, not blind line windows, providing a more precise and structured understanding of your codebase in 2026.

Atlas's method for understanding code goes beyond raw file text or even LSP output. Atlas indexes code by AST declarations using tree-sitter, not blind line windows, which allows for a more semantic and accurate representation of the codebase. This deep understanding powers Atlas's search capabilities: Atlas searches code with hybrid semantic and keyword retrieval fused by reciprocal rank fusion. For privacy-conscious developers, Atlas can build its code index with local Ollama embeddings, keeping code off third-party servers. This ensures that sensitive code remains within your local environment, a key consideration for many teams.

Flexible Plugin Architecture and Subagent Management

Crush supports Model Context Protocol (MCP) over stdio, HTTP, and SSE for extensibility, but Atlas offers a comprehensive plugin system. Atlas is extensible through plugins that contribute tools and hook into agent lifecycle events, providing a more integrated and powerful way to extend its capabilities in 2026.

Atlas provides a robust framework for extending its functionality. Atlas is extensible through plugins that contribute tools and hook into agent lifecycle events, allowing developers to tailor the agent to specific workflows and integrate with existing tools. While Crush also supports MCP, Atlas connects to Model Context Protocol servers and exposes their tools to the agent, ensuring broad compatibility. Beyond plugins, Atlas fans out work to subagents that can run in the foreground or in parallel background sessions, enabling complex tasks to be broken down and executed efficiently. This architecture supports more sophisticated agent orchestration and parallel processing.

direct Terminal Integration for Any Environment

Crush is purely local, lacking cloud agent, remote execution, or PR automation capabilities, which can limit its utility in distributed teams. Atlas, however, is a terminal-native TUI that runs in your shell, making it ideal for direct integration into any development environment, including remote SSH sessions, by 2026.

Atlas is designed from the ground up as a terminal-native AI coding agent. It runs directly in your shell, providing a familiar and efficient interface. This terminal-native TUI ensures that Atlas can operate effectively in a wide range of environments, from local machines to remote servers accessed via SSH, overcoming the "purely local" limitation of Crush. Atlas ships a TUI theme system with a charcoal-and-blue default theme and many presets, allowing for personalization. Furthermore, Atlas reads git branches, status, and diffs, and can stage and create commits on your behalf, integrating deeply with common developer workflows directly within the terminal. Atlas lets you switch the active model and provider on the fly with favorites and recents, enhancing flexibility without leaving your shell.

Migration notes

What changes

Install Atlas: Download the single self-contained binary for your operating system.
Configure Model Keys: Set up your preferred model API keys, as Atlas operates on a "bring your own model keys" basis, similar to Crush's CLI free model.
Initialize Code Index: Run `atlas index` to build its code index using AST declarations, optionally with local Ollama embeddings.
Explore Plugins: Review available Atlas plugins to replicate or enhance functionality previously achieved with Crush's MCP integrations.
Familiarize with Plan/Diff Workflow: Adapt to Atlas's workflow where it drafts a plan and computes a unified diff for approval before applying changes.

Frequently asked questions

Is Atlas truly open source, unlike Crush's FSL-1.1-MIT license?: Yes, Atlas offers a free core without the commercial-compete restrictions found in Crush's FSL-1.1-MIT license, providing full open source freedom for all users.
How does Atlas ensure safety and control over AI actions?: Atlas implements robust safety features, including permission-gated tool calls, a read-only plan agent for approval, and unified diffs for every file edit before writing.
Can Atlas understand my code as well as Crush's LSP integration?: Atlas indexes code by AST declarations using tree-sitter, offering a deep, structured understanding. It also searches code with hybrid semantic and keyword retrieval.
Does Atlas support Model Context Protocol like Crush?: Yes, Atlas connects to Model Context Protocol servers and exposes their tools to the agent, alongside its own powerful plugin system for extensibility.
Is Atlas limited to local execution like Crush?: No, Atlas is a terminal-native TUI that runs in your shell, making it suitable for both local and remote development environments, unlike Crush's purely local nature.
What is the pricing model for Atlas compared to Crush?: Atlas offers a free core, requiring you to bring your own model keys. Crush also has a free CLI but charges for Charm Hyper credits beyond 100 free per month.
How does Atlas handle code privacy?: Atlas can build its code index with local Ollama embeddings, ensuring that your sensitive code remains entirely within your local environment and off third-party servers.
Can Atlas manage Git operations?: Yes, Atlas reads git branches, status, and diffs, and can stage and create commits on your behalf, integrating directly with your version control workflow.

Try SeaShell in your terminal

The terminal-native AI coding agent. Free core, single binary.

Install SeaShell

Sources

Crush official site (github.com)

Related guides

Atlas vs Crush: Terminal AI Coding Agents in 2026

Atlas and Crush, two terminal AI coding agents for 2026, offer distinct approaches. Atlas provides a TUI with permission-gated tools and diff review, while Crush focuses on LSP integration and mid-session model

Atlas vs Blackbox AI: Terminal AI Coding Agents in 2026

Comparing Atlas and Blackbox AI in 2026. Atlas offers terminal-native TUI, permission-gated tools, and local embeddings. Blackbox AI features /multi-agent dispatch and VS Code integration.

Atlas with Gemma 4 31B (Ollama) in 2026

Drive Atlas with Gemma 4 31B (Ollama) locally. This 20GB model offers a 256K token context window for free, ideal for code-tuned AI development in 2026.

Atlas with OpenAI o1-pro in 2026

Explore OpenAI o1-pro with Atlas in 2026. This model offers maximum reasoning effort and a 200K context window, but comes with a high cost of $150 input / $600 output per Mtok.

Atlas with GPT-5.1 Codex mini in 2026

Explore Atlas with GPT-5.1 Codex mini in 2026. This model offers a 400K token context window at $0.25/Mtok input, making it ideal for tool-driven coding tasks.

Atlas for Expo: Terminal-Native AI Coding for expo-router and Config Plugins in 2026

Atlas is a terminal-native AI coding agent for Expo apps in 2026, covering expo-router file routes, config plugins, and EAS build profiles with diff-first review.

Atlas with IBM Granite 4 Small-H (Ollama) in 2026

Explore Atlas with IBM Granite 4 Small-H (Ollama), a 32B hybrid Mamba model offering a 1M token context window for free, self-hosted use in 2026. Ideal for local, long-context code tasks.

Atlas with DeepSeek Reasoner in 2026

In 2026, Atlas integrates DeepSeek Reasoner, offering powerful, cost-effective AI reasoning for complex coding challenges. Leverage its 1M token context window and advanced diagnostics at $0.14/$0.28 per Mtok.

Browse this resource hub