--- title: "entroly vs open-swe" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/juyterman1000-entroly-vs-langchain-ai-open-swe" tools: ["juyterman1000-entroly", "langchain-ai-open-swe"] --- # entroly vs open-swe *GraphCanon updated Aug 19, 2026* ## Verdict Pick entroly if know exactly what your AI agent saw with Entroly; 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. [entroly](https://juyterman1000.github.io/entroly/docs/index.html) reports 433 GitHub stars, 70 forks, and 6 open issues, last pushed Aug 4, 2026. [open-swe](https://www.langchain.com/blog/open-swe-an-open-source-framework-for-internal-coding-agents) has 11k stars, 1.2k forks, and 28 open issues, last pushed Aug 19, 2026. Figures are from public GitHub metadata via [entroly's repository](https://github.com/juyterman1000/entroly) and [open-swe's repository](https://github.com/langchain-ai/open-swe). | | [entroly](/tools/juyterman1000-entroly.md) | [open-swe](/tools/langchain-ai-open-swe.md) | | --- | --- | --- | | Tagline | Know exactly what your AI agent saw. | An Open-Source Asynchronous Coding Agent | | Stars | 433 | 10,576 | | Forks | 70 | 1,228 | | Open issues | 6 | 28 | | Language | Python | Python | | Adopt for | Know exactly what your AI agent saw with Entroly. | open-swe is an open-source asynchronous coding agent that allows customization of components like models, sandboxes, tools, triggers, prompts, and middleware. | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | MIT | | Categories | AI Agents, Evaluation & Observability | AI Agents, Evaluation & Observability | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [entroly](/tools/juyterman1000-entroly.md) | [open-swe](/tools/langchain-ai-open-swe.md) | | --- | --- | --- | | Open issues (now) | 6 | 28 | | Stars delta | Unknown | +221 (30d) | | Open issues delta | Unknown | +4 (30d) | | Owner type | User | Organization | | Full report | [trust report](/tools/juyterman1000-entroly/trust.md) | [trust report](/tools/langchain-ai-open-swe/trust.md) | ## Decision facts: entroly - **Adopt for:** Know exactly what your AI agent saw with Entroly. ## 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. ## Choose when ### Choose entroly if… - License: entroly is Apache-2.0, open-swe is MIT. - Tags unique to entroly: ai-agents, context-compression, hallucination-detection, token-optimization. - When you require proof of evidence selection to ensure transparency in model decisions, use Entroly. ### Choose open-swe if… - License: open-swe is MIT, entroly is Apache-2.0. - Tags unique to open-swe: agent, ai, anthropic, claudecode. - If you are integrating with Linear/Slack/GitHub workflows specifically as it seems to support these platforms natively. ## When NOT to use entroly - Avoid using Entroly if your AI workflows are already finely optimized for minimal intervention and do not benefit from additional context management layers. - Do not use Entroly if you have no need for replayable Context Commits, which Entroly offers to trace evidence selection and omissions. ## 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. ## Common questions ### What is the difference between entroly and open-swe? entroly: Know exactly what your AI agent saw.. open-swe: An Open-Source Asynchronous Coding Agent. See the comparison table for live GitHub stats and shared categories. ### When should I choose entroly over open-swe? Choose entroly over open-swe when License: entroly is Apache-2.0, open-swe is MIT; Tags unique to entroly: ai-agents, context-compression, hallucination-detection, token-optimization; When you require proof of evidence selection to ensure transparency in model decisions, use Entroly. ### When should I choose open-swe over entroly? Choose open-swe over entroly when License: open-swe is MIT, entroly is Apache-2.0; Tags unique to open-swe: agent, ai, anthropic, claudecode; If you are integrating with Linear/Slack/GitHub workflows specifically as it seems to support these platforms natively. ### When should I avoid entroly? Avoid using Entroly if your AI workflows are already finely optimized for minimal intervention and do not benefit from additional context management layers. Do not use Entroly if you have no need for replayable Context Commits, which Entroly offers to trace evidence selection and omissions. ### 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. ### Is entroly or open-swe more popular on GitHub? open-swe has more GitHub stars (10,576 vs 433). Stars measure visibility, not whether either tool fits your constraints. ### Are entroly and open-swe open source? Yes - both are open-source projects on GitHub (entroly: Apache-2.0, open-swe: MIT). ### Where can I find alternatives to entroly or open-swe? GraphCanon lists graph-backed alternatives at [entroly alternatives](/tools/juyterman1000-entroly/alternatives) and [open-swe alternatives](/tools/langchain-ai-open-swe/alternatives) ([entroly markdown twin](/tools/juyterman1000-entroly/alternatives.md), [open-swe markdown twin](/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 [this comparison](/compare/juyterman1000-entroly-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, entroly or open-swe? entroly: 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 entroly and open-swe? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [entroly trust report](/tools/juyterman1000-entroly/trust); [open-swe trust report](/tools/langchain-ai-open-swe/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=juyterman1000-entroly`](/api/graphcanon/graph?tool=juyterman1000-entroly) - 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/_