No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by langchain-ai · Agent Tool · ★ 10.8k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is open-swe safe to install? View the security audit →
Open SWE The open-source framework for building your org's internal coding agent Elite engineering orgs like Stripe, Ramp, and Coinbase are building their own internal coding agents — Slackbots, CLIs, and web apps that meet engineers where they already work. These agents are connected to internal systems with the right context, permissioning, and safety boundaries to operate with minimal human oversight. Open SWE is the open-source version of this pattern. Built on LangGraph and Deep Agents, it gives you the same architecture those companies built internally: cloud sandboxes, Slack and Linear invocation, subagent orchestration, and automatic PR creation — ready to customize for your own codebase and workflows. [!NOTE] 💬 Read the announcement blog post here Architecture Open SWE makes the same core architectural decisions as the best internal coding agents. Here's how it maps to the patterns described in [this overview](ht
| Stars | 10,753 |
| Forks | 1,282 |
| Language | Python |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 65.4242196221393/100 |
| Open Issues | 191 |
| Last Updated | 2026-09-23 |
| Created | 2025-05-21 |
| Platforms | claude-code, python |
| Est. Tokens | ~15k |
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open-swe is An Open-Source Asynchronous Coding Agent. It is categorized as a Agent Tool with 10.8k GitHub stars.
open-swe is primarily written in Python. It covers topics such as agent, agents, ai.
You can find installation instructions and usage details in the open-swe GitHub repository at github.com/langchain-ai/open-swe. The project has 10.8k stars and 1282 forks, indicating an active community.
open-swe is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to open-swe on Agent Skills Hub include sdk-python, AstrBot, unity-mcp. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. It is a first-layer scan, not a manual audit — we say so rather than overstate it.
The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.
Sources & who's responsible: