Mini SWE Agent
Lightweight AI agent for automated software engineering tasks
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How the 7.2 was reached
- Quality of output7/10
8,066 GitHub stars, MIT, active; vendor claims over 74% on SWE-bench verified, not independently confirmed. Source: github.com
- Ease of use7/10
Tiny 100-line Python agent with few dependencies and a docs site; needs your own LLM key. Source: mini-swe-agent.com
- Pricing value8/10
Free open source; the user must bring and pay for an LLM API key. Source: github.com
- API and integration quality7/10
Supports many models via litellm, openrouter and portkey, plus several sandbox environments; reference docs exist. Source: mini-swe-agent.com
- Solves the problem it claims to solve7/10
A minimal software engineering agent, with 8k stars and reported adoption; independent evidence is mostly GitHub figures. Source: github.com
7.2/10 is the average of the five criterion scores above. The evidence comes from 2 different sources.Scores come from public evidence (the tool's own pages and documentation, and independent reviews); we do not test every tool hands-on. Scored 29 September 2026, on version 1 of our five-criteria scoring method.
Pricing
- Self-hosted deployment
- Core SWE capabilities
- GitHub integration
For the full list of what each plan includes, and current prices, see github.com.
Key Features
- Automated code generation
- Bug fixing assistance
- Repository analysis
- Git workflow integration
- Command line interface
Pros & Cons
Pros
- Open source and free
- Lightweight and fast
- Easy to self-host
- Good for simple automation tasks
Cons
- Limited documentation
- Minimal web interface
- Requires technical setup
- Basic feature set compared to commercial alternatives
A promising open-source alternative for developers who want basic AI-powered coding assistance without the overhead of larger commercial tools. Best suited for technically savvy users who can handle self-hosting.
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