What is the primary difference in deployment between Atlas and Poolside in 2026?

In 2026, Atlas ships as a single self-contained terminal-native TUI that runs in your shell. Poolside, an enterprise coding lab, offers deployment into customer VPCs, on-prem racks, or on-prem towers.

How do Atlas and Poolside handle code safety and review?

Atlas drafts a plan in a read-only plan agent, computes a unified diff for every file edit for approval, and permission-gates all tool calls. Poolside's 'pool' terminal agent harness is explicitly a research preview, not a supported product.

What are the pricing models for Atlas and Poolside?

Atlas provides a free core and requires users to bring their own model keys. Poolside offers Laguna weights free under Apache 2.0, with API pricing around $0.20/$0.40 per million tokens for Laguna M.1.

Can Atlas or Poolside run models locally?

Atlas can build its code index with local Ollama embeddings, keeping code off third-party servers. Poolside's Laguna XS.2 (33B total, 3B active) runs on-device through Ollama and MLX.

What is the status of Poolside's product in 2026?

In 2026, Poolside's 'pool' terminal agent harness is explicitly a research preview, not a supported product, and the company faces reported vendor risk from a terminated data center deal and collapsed Series C funding.

How does Atlas ensure data privacy?

Atlas can build its code index with local Ollama embeddings, keeping code off third-party servers, and operates as a terminal-native TUI that processes code locally.

What kind of models does Poolside offer?

Poolside offers open-weight Laguna models, including Laguna M.1 (225B total, 23B active) with a 256K context, and Laguna XS.2 (33B total, 3B active) for on-device execution.

Atlas vs Poolside: Terminal AI Coding Agents in 2026

In 2026, developers choosing between terminal AI coding agents Atlas and Poolside will find distinct approaches to code generation and deployment. Atlas provides a free core, terminal-native TUI with permission-gated tool calls, and robust code safety features, while Poolside offers open-weight Laguna models, including the 225B Laguna M.1, and flexible enterprise deployment options, though it is explicitly a research preview.

Model Access and Open Weights

When considering terminal AI coding agents in 2026, Poolside distinguishes itself by offering open-weight Laguna models, such as the 225B Laguna M.1, under an Apache 2.0 license, providing developers direct access to its underlying AI. Atlas, conversely, operates with a free core and allows users to bring their own model keys, supporting a flexible approach to model choice.

Poolside's core offering includes the Laguna M.1, a substantial 225B total, 23B active Mixture-of-Experts model with a 256K context, released as open weights under Apache 2.0. Additionally, Poolside provides Laguna XS.2, a 33B total and 3B active model designed to run on-device through Ollama and MLX. This open-weight strategy allows for deep customization and local execution of models. Atlas, on the other hand, adopts a 'bring your own model keys' approach with its free core. This model allows developers to switch the active model and provider on the fly with favorites and recents, offering flexibility in choosing and managing AI models. Atlas also supports building its code index with local Ollama embeddings, which helps in keeping code off third-party servers.

Deployment Flexibility and Data Privacy

For organizations prioritizing data sovereignty in 2026, Poolside offers significant deployment flexibility, allowing its enterprise coding lab to deploy into a customer VPC, an on-prem rack, or even an on-prem tower for small classified teams. Atlas, a terminal-native TUI, provides a self-contained binary that runs in your shell, and can build its code index with local Ollama embeddings, keeping code off third-party servers.

Poolside's enterprise focus is evident in its deployment options, which cater to diverse organizational needs for data control and security. Its ability to deploy into a customer VPC, an on-prem rack, or an on-prem tower for small classified teams provides a high degree of control over the operational environment and data residency. This is particularly relevant for sensitive projects or regulated industries. Atlas, by contrast, is a terminal-native TUI that ships as a single self-contained binary, designed to run directly in your shell. While not offering the same enterprise-grade deployment flexibility as Poolside, Atlas enhances data privacy by allowing users to build its code index with local Ollama embeddings, ensuring that proprietary code remains off third-party servers. This local processing capability is a key privacy feature for individual developers and teams working with sensitive codebases.

Code Review and Safety Mechanisms

Ensuring code quality and developer control is a key differentiator in 2026, where Atlas prioritizes safety by drafting a plan in a read-only plan agent and asking for approval before switching to a build agent. Poolside, while built on the Agent Client Protocol, is explicitly a research preview, not a supported product, which implies a different level of production readiness for critical code changes.

Atlas implements a comprehensive suite of safety mechanisms designed to give developers granular control over AI-generated code. Atlas drafts a plan in a read-only plan agent and asks before switching to a build agent, ensuring explicit developer approval at critical stages. Every Atlas tool call is permission-gated against allow, ask, and deny rules before it runs, preventing unintended actions. 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 changes. For rollback capabilities, Atlas snapshots file changes as git patches so edits can be diffed and rolled back. Atlas also reads git branches, status, and diffs, and can stage and create commits on your behalf, integrating deeply with existing version control workflows. Atlas searches code with hybrid semantic and keyword retrieval fused by reciprocal rank fusion, and indexes code by AST declarations using tree-sitter, not blind line windows, for precise context. Poolside's 'pool' terminal agent harness, while built on the Agent Client Protocol, is explicitly a research preview, not a supported product, suggesting that its safety and review mechanisms may not be as robust or production-ready as Atlas's established features.

Product Maturity and Vendor Stability

In 2026, developers evaluating AI coding agents must consider product maturity and vendor stability, where Poolside faces real vendor risk due to the terminated CoreWeave Project Horizon data center deal and a reported $2B Series C collapse. Atlas, conversely, ships as a single self-contained binary, offering a stable and independent terminal-native TUI experience.

Poolside's status as an enterprise coding lab is tempered by significant vendor risk reported in 2026, including the termination of the CoreWeave Project Horizon data center deal and a reported $2B Series C collapse. Additionally, its 'pool' terminal agent harness is explicitly labeled as a research preview, not a supported product, which may raise concerns for organizations seeking long-term, stable solutions. This contrasts with Atlas, which ships as a single self-contained binary, providing a robust and independent terminal-native TUI. Atlas's architecture minimizes external dependencies for its core functionality, offering a more predictable and self-reliant operational environment for developers. The free core model of Atlas further reduces vendor lock-in and financial commitment for basic usage.

Extensibility and Agent Protocols

For developers seeking extensible AI coding agents in 2026, Poolside's 'pool' terminal agent harness is built on the same dual Agent Client Protocol environment Poolside uses internally for agent reinforcement learning. Atlas, on the other hand, supports plugins that contribute tools and hook into agent lifecycle events, and connects to Model Context Protocol servers, exposing their tools to the agent.

Poolside's 'pool' terminal agent harness is designed around the Agent Client Protocol, which is the same dual environment Poolside uses internally for agent reinforcement learning. This architecture suggests a focus on advanced agent development and research within a structured protocol. Atlas offers extensibility through a robust plugin system, allowing developers to contribute tools and hook into agent lifecycle events, thereby customizing and expanding its capabilities. Atlas also connects to Model Context Protocol servers and exposes their tools to the agent, facilitating integration with a broader ecosystem of AI services and tools. This dual approach to extensibility provides flexibility for developers to tailor Atlas to their specific workflows and integrate with preferred external services.

Pricing and Cost Model

When evaluating the cost of AI coding agents in 2026, Poolside offers its Laguna weights free under Apache 2.0, but its API is priced around $0.20/$0.40 per million tokens for Laguna M.1, with enterprise contracts not publicly listed. Atlas provides a free core, requiring users to bring their own model keys, which can offer cost flexibility depending on chosen model providers.

Poolside's pricing model in 2026 includes the free availability of its Laguna weights under an Apache 2.0 license, which is beneficial for those who wish to host and run the models themselves. However, for API access to Laguna M.1, the cost is around $0.20/$0.40 per million tokens, and enterprise contracts are not publicly listed, indicating a potentially higher or custom pricing structure for larger organizations. Atlas operates on a different financial model, offering a free core. This means users are responsible for bringing their own model keys, allowing them to choose their preferred model providers and manage costs directly. This approach can lead to significant cost savings for individual developers or teams who already have access to model APIs or prefer to use more economical options, providing greater control over operational expenses.

How to choose

Choose SeaShell if

You prioritize a terminal-native TUI with robust code safety and review mechanisms, including permission-gated tool calls and unified diffs.
You prefer a free core model where you bring your own model keys for flexibility and cost control.
You value local code indexing with Ollama embeddings to keep code off third-party servers for enhanced privacy.
You require a self-contained binary that runs in your shell, offering a stable and independent experience.
You need deep integration with git, including reading branches, status, diffs, and staging/committing changes.

Choose the alternative if

You require open-weight models like Laguna M.1 (225B) or Laguna XS.2 (33B) for internal use or modification under Apache 2.0.
Your organization needs on-premise, VPC, or classified team deployment options for an enterprise coding lab.
You are interested in a research preview agent harness built on the Agent Client Protocol for advanced agent development.
You are willing to accept potential vendor risk for access to specific model architectures and enterprise features.
You are comfortable with an API pricing model for large language models, around $0.20/$0.40 per million tokens for Laguna M.1.

Frequently asked questions

What is the primary difference in deployment between Atlas and Poolside in 2026?: In 2026, Atlas ships as a single self-contained terminal-native TUI that runs in your shell. Poolside, an enterprise coding lab, offers deployment into customer VPCs, on-prem racks, or on-prem towers.
How do Atlas and Poolside handle code safety and review?: Atlas drafts a plan in a read-only plan agent, computes a unified diff for every file edit for approval, and permission-gates all tool calls. Poolside's 'pool' terminal agent harness is explicitly a research preview, not a supported product.
What are the pricing models for Atlas and Poolside?: Atlas provides a free core and requires users to bring their own model keys. Poolside offers Laguna weights free under Apache 2.0, with API pricing around $0.20/$0.40 per million tokens for Laguna M.1.
Can Atlas or Poolside run models locally?: Atlas can build its code index with local Ollama embeddings, keeping code off third-party servers. Poolside's Laguna XS.2 (33B total, 3B active) runs on-device through Ollama and MLX.
What is the status of Poolside's product in 2026?: In 2026, Poolside's 'pool' terminal agent harness is explicitly a research preview, not a supported product, and the company faces reported vendor risk from a terminated data center deal and collapsed Series C funding.
How does Atlas ensure data privacy?: Atlas can build its code index with local Ollama embeddings, keeping code off third-party servers, and operates as a terminal-native TUI that processes code locally.
What kind of models does Poolside offer?: Poolside offers open-weight Laguna models, including Laguna M.1 (225B total, 23B active) with a 256K context, and Laguna XS.2 (33B total, 3B active) for on-device execution.

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Sources

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