In 2026, developers choosing between terminal AI coding agents Atlas and Amp will find distinct approaches to pricing, execution, and control. Atlas provides a free core, a terminal-native TUI, and extensive user control over models and tools, while Amp offers deep reasoning with Oracle and persistent remote execution via Orbs, but with a pay-as-you-go model that can lead to unpredictable costs. Atlas emphasizes local operation and explicit user approval for changes, contrasting with Amp's focus on remote persistence and cross-codebase context from GitHub.
Pricing Model and Cost Predictability
Regarding pricing, Atlas offers a free core and allows users to bring their own model keys, contrasting sharply with Amp's pay-as-you-go model, which has a $5 minimum credit purchase and can lead to genuinely unpredictable costs for heavy agentic use in 2026.
Atlas provides a free core, allowing users to integrate their own model keys, which offers a predictable cost structure based on their chosen model providers. This approach means users only pay for their model usage directly, without additional markups from Atlas. In contrast, Amp operates on a pay-as-you-go model, priced at raw model cost with no markup, but requires a $5 minimum credit purchase. A significant weakness of Amp is its unpredictable cost for heavy agentic use, as there is no fixed-price subscription. Furthermore, Amp's free allowance is discretionary and has already been reduced for less-active users, and its Enterprise tier adds a 50% surcharge on a $1,000 minimum, making cost management a key consideration for Amp users.
Agent Execution and Persistence
For agent execution, Amp distinguishes itself with Orbs, remote machines that keep an Amp thread running even after a laptop lid is closed, a feature Atlas does not offer in 2026, as Atlas operates as a terminal-native TUI within your local shell.
Atlas is designed as a terminal-native TUI that runs directly within your shell, shipping as a single self-contained binary. This local execution model ensures that Atlas operates within your immediate development environment. Conversely, Amp introduces Orbs, which are remote machines designed to maintain an Amp thread's execution even when a user's laptop is closed. This allows for persistent, long-running agent tasks without requiring the local machine to remain active. While Atlas focuses on a local, interactive terminal experience, Amp provides a solution for background, remote persistence of agent work.
Code Search and Context Retrieval
for code context, Amp's Librarian searches public and private GitHub repositories for cross-codebase context, a capability Atlas addresses differently by searching code with hybrid semantic and keyword retrieval fused by reciprocal rank fusion, a method available in 2026.
Atlas employs a sophisticated approach to code context retrieval. Atlas searches code with hybrid semantic and keyword retrieval fused by reciprocal rank fusion. It indexes code by AST declarations using tree-sitter, not blind line windows, ensuring a more precise understanding of code structure. For privacy and control, Atlas can build its code index with local Ollama embeddings, keeping code off third-party servers. Amp's strategy for context is centered around its Librarian feature, which searches both public and private GitHub repositories to provide cross-codebase context, offering a broad scope of external and internal code knowledge.
User Control and Model Flexibility
User control over models is a key differentiator, as Amp does not provide a user model picker, with Sourcegraph picking the model per mode, unlike Atlas, which lets you switch the active model and provider on the fly with favorites and recents in 2026.
Atlas offers significant user control over its operational parameters. Users can switch the active model and provider on the fly with favorites and recents, allowing for flexibility in choosing the best AI for a given task or cost preference. Atlas also supports plugins and Model Context Protocol, enabling extensibility and integration with external tools and services. In contrast, Amp's design limits user choice, as Sourcegraph picks the model per mode, meaning there is no user model picker. Amp does feature Oracle, which invokes a separate high-reasoning model on demand for the hard part of a task, but this is an internal mechanism rather than a user-selectable option.
Change Review and Safety Mechanisms
Ensuring safe code changes is paramount, and Atlas provides robust mechanisms, including permission-gated tool calls, a feature not explicitly detailed in Amp's public information for 2026, which focuses on Oracle's deep reasoning for task execution.
Atlas prioritizes safety and explicit user approval throughout the code modification process. Atlas drafts a plan in a read-only plan agent and asks before switching to a build agent. Every Atlas tool call is permission-gated against allow, ask, and deny rules before it runs. Furthermore, Atlas computes a unified diff for every file edit and surfaces it for approval before writing, giving developers full oversight. Atlas also reads git branches, status, and diffs, and can stage and create commits on your behalf, and it snapshots file changes as git patches so edits can be diffed and rolled back. While Amp emphasizes Oracle's deep reasoning for task execution, Atlas provides a comprehensive, user-centric safety net for all agent-driven code changes.
How to choose
Choose SeaShell if
- You prefer a free core and want to bring your own model keys for predictable costs.
- You require explicit approval for all code changes and permission-gated tool calls.
- You need a terminal-native TUI that runs locally in your shell.
- You want to switch active models and providers on the fly with favorites and recents.
- You prioritize local code indexing with Ollama embeddings to keep code off third-party servers.
Choose the alternative if
- You need persistent agent threads running remotely after closing your laptop via Orbs.
- You benefit from cross-codebase context from public and private GitHub repositories via Librarian.
- You value a deep-reasoning second model like Oracle for complex tasks.
- You are comfortable with a pay-as-you-go pricing model and potentially unpredictable costs.
- You accept Sourcegraph picking the model per mode, without a user model picker.
Frequently asked questions
- What is the primary difference in pricing between Atlas and Amp in 2026?
- Atlas offers a free core and allows users to bring their own model keys, while Amp uses a pay-as-you-go model based on raw model cost, with a $5 minimum credit purchase.
- How does Atlas ensure code change safety?
- Atlas drafts a plan in a read-only plan agent, asks before switching to a build agent, computes a unified diff for every file edit for approval, and permission-gates every tool call.
- Can I choose my AI model with Atlas or Amp?
- Atlas lets you switch the active model and provider on the fly. Amp does not provide a user model picker, with Sourcegraph picking the model per mode.
- What is Amp's Oracle feature?
- Oracle is Amp's feature that invokes a separate high-reasoning model on demand for the hard part of a task.
- Does Atlas support local code indexing?
- Yes, Atlas can build its code index with local Ollama embeddings, keeping code off third-party servers.
- What are Amp Orbs?
- Orbs are remote machines that keep an Amp thread running even after you close your laptop lid, providing persistent execution.
- Is Atlas a GUI or terminal application?
- Atlas is a terminal-native TUI that runs in your shell, shipping as a single self-contained binary.
- What is the enterprise pricing for Amp?
- Amp Enterprise costs 50% more with a $1,000 minimum, on top of its raw model cost pricing.
Try SeaShell in your terminal
The terminal-native AI coding agent. Free core, single binary.
Install SeaShellSources
- Amp official site (ampcode.com)
- Amp documentation (ampcode.com)
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