--- title: "CodeWhale vs open-swe" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/hmbown-codewhale-vs-langchain-ai-open-swe" tools: ["hmbown-codewhale", "langchain-ai-open-swe"] --- # CodeWhale vs open-swe Neutral, constraint-first comparison with live GitHub stats. | | [CodeWhale](/tools/hmbown-codewhale.md) | [open-swe](/tools/langchain-ai-open-swe.md) | | --- | --- | --- | | Tagline | Open-source, community-driven agent harness | Open-source framework for building internal coding agents | | Stars | 39,574 | 10,124 | | Forks | 3,412 | 1,163 | | Open issues | 365 | 11 | | Language | Rust | Python | | Adopt for | CodeWhale is an open-source, community-driven terminal coding agent that supports interactions with various machine learning models through both TUI and CLI interfaces. | Open-swe offers an open-source framework for engineering teams to create their own internal coding agents built on Deep Agents and LangGraph. | | Persona | - | - | | Runtime | - | - | | License | MIT | MIT | | Categories | AI Agents, Developer Tools | AI Agents, Developer Tools | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [CodeWhale](/tools/hmbown-codewhale.md) | [open-swe](/tools/langchain-ai-open-swe.md) | | --- | --- | --- | | Open issues (now) | 365 | 11 | | Owner type | User | Organization | | Security scan | No criticals | No lockfile | | Full report | [trust report](/tools/hmbown-codewhale/trust.md) | [trust report](/tools/langchain-ai-open-swe/trust.md) | **Typed relationship:** CodeWhale _(alternative)_ open-swe CodeWhale and open-swe are both aimed at supporting internal coding agents but differ in their approaches—CodeWhale focuses on TUI/CLI, whereas open-swe is more of an underlying framework. ## Decision facts: CodeWhale - **Hosting:** self hosted - CodeWhale runs locally on the user's machine without external hosting dependencies, except when interacting with cloud-based model providers. - **Pricing:** freemium - The tool itself is free under MIT license, but users may need to handle their own costs or subscriptions for certain AI models and cloud service access. - **Adopt for:** CodeWhale is an open-source, community-driven terminal coding agent that supports interactions with various machine learning models through both TUI and CLI interfaces. ## Decision facts: open-swe - **Pricing:** freemium - Available under MIT License, free to use with no payment required. Customization might incur costs depending on usage like running cloud sandboxes. - **Requirements:** Requires Docker; - Requires Python environment for setup and execution.; - Containers should be managed using Docker or another container service that runs Linux-compatible systems. - **Adopt for:** Open-swe offers an open-source framework for engineering teams to create their own internal coding agents built on Deep Agents and LangGraph. ## Choose when ### Choose CodeWhale if… - CodeWhale is primarily Rust; open-swe is Python. - CodeWhale runs locally on the user's machine without external hosting dependencies, except when interacting with cloud-based model providers. - Pricing: The tool itself is free under MIT license, but users may need to handle their own costs or subscriptions for certain AI models and cloud service access.. - CodeWhale and open-swe are both aimed at supporting internal coding agents but differ in their approaches—CodeWhale focuses on TUI/CLI, whereas open-swe is more of an underlying framework. - Tags unique to CodeWhale: terminal, tui, deepseek, rust. - - When you need to work with multiple AI model providers in a unified runtime, including DeepSeek, Claude, GPT, Kimi, and GLM. ### Choose open-swe if… - open-swe is primarily Python; CodeWhale is Rust. - Pricing: Available under MIT License, free to use with no payment required. Customization might incur costs depending on usage like running cloud sandboxes.. - Requirements: Requires Docker; - Requires Python environment for setup and execution.; - Containers should be managed using Docker or another container service that runs Linux-compatible systems.. - CodeWhale and open-swe are both aimed at supporting internal coding agents but differ in their approaches—CodeWhale focuses on TUI/CLI, whereas open-swe is more of an underlying framework. - Tags unique to open-swe: claudecode, llms, agents, ai. - - When your engineering team needs to build a custom internal coding assistant for Slack, CLI, or web apps usage that integrates with existing tools like Linear and Slack. ## When NOT to use CodeWhale - - If you require a tool that is not open-source or does not have community-driven support in multiple regions including China, Japan, Vietnam, and Korea. - - When your project strictly relies on closed-weight models that do not fit within CodeWhale’s supported ecosystem. ## When NOT to use open-swe - - Avoid if your organization requires immediate integration with proprietary enterprise-specific platforms not natively supported by Deep Agents or LangGraph. - - Not suitable for teams that do not need the architectural complexity of subagent orchestration, automatic PR creation mechanisms, and a fully isolated cloud sandbox setup. ## Common questions ### What is the difference between CodeWhale and open-swe? CodeWhale: Open-source, community-driven agent harness. open-swe: Open-source framework for building internal coding agents. See the comparison table for live GitHub stats and shared categories. ### When should I choose CodeWhale over open-swe? Choose CodeWhale over open-swe when CodeWhale is primarily Rust; open-swe is Python; CodeWhale runs locally on the user's machine without external hosting dependencies, except when interacting with cloud-based model providers; Pricing: The tool itself is free under MIT license, but users may need to handle their own costs or subscriptions for certain AI models and cloud service access.; CodeWhale and open-swe are both aimed at supporting internal coding agents but differ in their approaches—CodeWhale focuses on TUI/CLI, whereas open-swe is more of an underlying framework; Tags unique to CodeWhale: terminal, tui, deepseek, rust; - When you need to work with multiple AI model providers in a unified runtime, including DeepSeek, Claude, GPT, Kimi, and GLM. ### When should I choose open-swe over CodeWhale? Choose open-swe over CodeWhale when open-swe is primarily Python; CodeWhale is Rust; Pricing: Available under MIT License, free to use with no payment required. Customization might incur costs depending on usage like running cloud sandboxes.; Requirements: Requires Docker; - Requires Python environment for setup and execution.; - Containers should be managed using Docker or another container service that runs Linux-compatible systems.; CodeWhale and open-swe are both aimed at supporting internal coding agents but differ in their approaches—CodeWhale focuses on TUI/CLI, whereas open-swe is more of an underlying framework; Tags unique to open-swe: claudecode, llms, agents, ai; - When your engineering team needs to build a custom internal coding assistant for Slack, CLI, or web apps usage that integrates with existing tools like Linear and Slack. ### When should I avoid CodeWhale? - If you require a tool that is not open-source or does not have community-driven support in multiple regions including China, Japan, Vietnam, and Korea. - When your project strictly relies on closed-weight models that do not fit within CodeWhale’s supported ecosystem. ### When should I avoid open-swe? - Avoid if your organization requires immediate integration with proprietary enterprise-specific platforms not natively supported by Deep Agents or LangGraph. - Not suitable for teams that do not need the architectural complexity of subagent orchestration, automatic PR creation mechanisms, and a fully isolated cloud sandbox setup. ### Is CodeWhale or open-swe more popular on GitHub? CodeWhale has more GitHub stars (39,574 vs 10,124). Stars measure visibility, not whether either tool fits your constraints. ### Are CodeWhale and open-swe open source? Yes - both are open-source projects on GitHub (CodeWhale: MIT, open-swe: MIT). ### Where can I find alternatives to CodeWhale or open-swe? GraphCanon lists graph-backed alternatives at /tools/hmbown-codewhale/alternatives and /tools/langchain-ai-open-swe/alternatives (/tools/hmbown-codewhale/alternatives.md, /tools/langchain-ai-open-swe/alternatives.md), ranked by typed relationship edges rather than popularity votes. ### Is there a machine-readable version of this comparison? Yes. The markdown twin at /compare/hmbown-codewhale-vs-langchain-ai-open-swe.md mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, CodeWhale or open-swe? CodeWhale: Very active. open-swe: Very active. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance. ### Where are the full trust reports for CodeWhale and open-swe? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: CodeWhale: /tools/hmbown-codewhale/trust; open-swe: /tools/langchain-ai-open-swe/trust. --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=hmbown-codewhale`](/api/graphcanon/graph?tool=hmbown-codewhale) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_