--- title: "open-swe vs superset" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/langchain-ai-open-swe-vs-superset-sh-superset" tools: ["langchain-ai-open-swe", "superset-sh-superset"] --- # open-swe vs superset *GraphCanon updated Aug 20, 2026* ## Verdict Pick open-swe if open-swe is an open-source asynchronous coding agent that allows customization of components like models, sandboxes, tools, triggers, prompts, and middleware; pick superset if superset is designed to enhance productivity by enabling developers to manage multiple agents across isolated git worktrees, offering a built-in terminal and diff viewer. [open-swe](https://www.langchain.com/blog/open-swe-an-open-source-framework-for-internal-coding-agents) reports 11k GitHub stars, 1.2k forks, and 28 open issues, last pushed Aug 19, 2026. [superset](https://superset.sh) has 13k stars, 1.2k forks, and 589 open issues, last pushed Aug 20, 2026. Figures are from public GitHub metadata via [open-swe's repository](https://github.com/langchain-ai/open-swe) and [superset's repository](https://github.com/superset-sh/superset). | | [open-swe](/tools/langchain-ai-open-swe.md) | [superset](/tools/superset-sh-superset.md) | | --- | --- | --- | | Tagline | An Open-Source Asynchronous Coding Agent | Code Editor for the AI Agents Era | | Stars | 10,576 | 13,111 | | Forks | 1,228 | 1,201 | | Open issues | 28 | 589 | | Language | Python | TypeScript | | Adopt for | open-swe is an open-source asynchronous coding agent that allows customization of components like models, sandboxes, tools, triggers, prompts, and middleware. | Superset is designed to enhance productivity by enabling developers to manage multiple agents across isolated git worktrees, offering a built-in terminal and diff viewer. | | Persona | - | - | | Runtime | - | - | | License | MIT | Other | | Categories | AI Agents, Evaluation & Observability | AI Agents, Developer Tools | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [open-swe](/tools/langchain-ai-open-swe.md) | [superset](/tools/superset-sh-superset.md) | | --- | --- | --- | | Open issues (now) | 28 | 589 | | Stars delta | +221 (30d) | +590 (30d) | | Open issues delta | +4 (30d) | +216 (30d) | | Full report | [trust report](/tools/langchain-ai-open-swe/trust.md) | [trust report](/tools/superset-sh-superset/trust.md) | ## Decision facts: open-swe - **Adopt for:** open-swe is an open-source asynchronous coding agent that allows customization of components like models, sandboxes, tools, triggers, prompts, and middleware. ## Decision facts: superset - **Adopt for:** Superset is designed to enhance productivity by enabling developers to manage multiple agents across isolated git worktrees, offering a built-in terminal and diff viewer. ## Choose when ### Choose open-swe if… - open-swe is primarily Python; superset is TypeScript. - License: open-swe is MIT, superset is Other. - Tags unique to open-swe: agent, ai, anthropic, claudecode. - Also covers Evaluation & Observability. - If you are integrating with Linear/Slack/GitHub workflows specifically as it seems to support these platforms natively. ### Choose superset if… - superset is primarily TypeScript; open-swe is Python. - License: superset is Other, open-swe is MIT. - Tags unique to superset: ai-agents, claude-code, codex, coding-agents. - Also covers Developer Tools. - When you need to run and monitor multiple CLI-based coding agents simultaneously without the overhead of context switching. ## When NOT to use open-swe - Not recommended if you require real-time interaction with coding agents instead of asynchronous communication. - Avoid choosing this tool if your project does not align well with customization options provided or if integration complexity outweighs benefits. ## When NOT to use superset - Avoid if you are working primarily on Windows or Linux systems since builds for these operating systems are not yet available. - If your workflow does not require the isolation of tasks in separate git worktrees, other tools might be more suitable without the need for such specific setup. ## Common questions ### What is the difference between open-swe and superset? open-swe: An Open-Source Asynchronous Coding Agent. superset: Code Editor for the AI Agents Era. See the comparison table for live GitHub stats and shared categories. ### When should I choose open-swe over superset? Choose open-swe over superset when open-swe is primarily Python; superset is TypeScript; License: open-swe is MIT, superset is Other; Tags unique to open-swe: agent, ai, anthropic, claudecode; Also covers Evaluation & Observability; If you are integrating with Linear/Slack/GitHub workflows specifically as it seems to support these platforms natively. ### When should I choose superset over open-swe? Choose superset over open-swe when superset is primarily TypeScript; open-swe is Python; License: superset is Other, open-swe is MIT; Tags unique to superset: ai-agents, claude-code, codex, coding-agents; Also covers Developer Tools; When you need to run and monitor multiple CLI-based coding agents simultaneously without the overhead of context switching. ### When should I avoid open-swe? Not recommended if you require real-time interaction with coding agents instead of asynchronous communication. Avoid choosing this tool if your project does not align well with customization options provided or if integration complexity outweighs benefits. ### When should I avoid superset? Avoid if you are working primarily on Windows or Linux systems since builds for these operating systems are not yet available. If your workflow does not require the isolation of tasks in separate git worktrees, other tools might be more suitable without the need for such specific setup. ### Is open-swe or superset more popular on GitHub? superset has more GitHub stars (13,111 vs 10,576). Stars measure visibility, not whether either tool fits your constraints. ### Are open-swe and superset open source? Yes - both are open-source projects on GitHub (open-swe: MIT, superset: Other). ### Where can I find alternatives to open-swe or superset? GraphCanon lists graph-backed alternatives at [open-swe alternatives](/tools/langchain-ai-open-swe/alternatives) and [superset alternatives](/tools/superset-sh-superset/alternatives) ([open-swe markdown twin](/tools/langchain-ai-open-swe/alternatives.md), [superset markdown twin](/tools/superset-sh-superset/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 [this comparison](/compare/langchain-ai-open-swe-vs-superset-sh-superset.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, open-swe or superset? open-swe: Very active. superset: 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 open-swe and superset? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [open-swe trust report](/tools/langchain-ai-open-swe/trust); [superset trust report](/tools/superset-sh-superset/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=langchain-ai-open-swe`](/api/graphcanon/graph?tool=langchain-ai-open-swe) - 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/_