mini-swe-agent
Active·★ 5.8k·Updated 2026-07-14
★ Trending★ Hidden Gem
Mini-SWE-agent is a lightweight, 100-line AI agent designed to solve GitHub issues and more, offering a simplified yet performant alternative to larger coding agents. It focuses on minimalism, high performance on benchmarks like SWE-bench, and easy deployment across various environments.
mini-swe-agent is currently grouped under LLM Infra, which makes it easier to evaluate through workflow fit instead of isolated features alone. Based on the available data, it leans most heavily toward Minimal code (approx. 100 lines of Python) and Researchers for benchmarking, fine-tuning, or RL experiments without bloat. It also shows measurable community traction with 5.8k GitHub stars.
#AI Agent#Python#Software Engineering#Benchmarking#Minimalist#Coding
01
Features
01Minimal code (approx. 100 lines of Python)
02High performance (>74% on SWE-bench verified benchmark)
03Easy deployment and sandboxing (Docker, Podman, Singularity)
04Utilizes only Bash tools, avoiding complex tool-calling interfaces
05Linear history for simplified debugging and fine-tuning
02
Why choose it
+Minimal code (approx. 100 lines of Python)
+Researchers for benchmarking, fine-tuning, or RL experiments without bloat
+Covers 6 supported environments or platforms, which is helpful for broader deployment needs.
+The latest recorded update is 2026-07-14, which suggests the project is still actively maintained.
03
Trade-offs
!There are at least 8 related tools in the same category, so the best choice is easier to make after side-by-side comparison.
04
Compatibility
Local Environment
Native
Verified via docs
Docker
Supported
Verified via docs
Podman
Supported
Verified via docs
Singularity
Supported
Verified via docs
Apptainer
Supported
Verified via docs
Large Language Models
Via LiteLLM
Verified via docs
05
Quick start
1
$ pip install mini-swe-agent
06
Use cases
↳Researchers for benchmarking, fine-tuning, or RL experiments without bloat
↳Developers who want to own, understand, and modify their AI tools
↳Engineers needing a trivial-to-sandbox and deployable solution anywhere
07
How it compares
≈mini-swe-agent sits in the LLM Infra category, so it makes more sense to evaluate it alongside tools like MetaGPT instead of in isolation.
≈If your main need is closer to "Researchers for benchmarking, fine-tuning, or RL experiments without bloat", that use case is a better lens for comparison than broad feature checklists alone.
≈mini-swe-agent's licensing and community traction are both easier to judge in category context.
08
Alternatives
MetaGPT★ 69.4k
🌟 The Multi-Agent Framework: First AI Software Company, Towards Natural Language Programming
cua★ 19.9k
Open-source infrastructure for Computer-Use Agents. Sandboxes, SDKs, and benchmarks to train and evaluate AI agents that can control full desktops (macOS, Linux, Windows).
ragflow★ 85.2k
RAGFlow is a leading open-source Retrieval-Augmented Generation (RAG) engine that fuses cutting-edge RAG with Agent capabilities to create a superior context layer for LLMs
Context7★ 59.2k
MCP Server that provides up-to-date code documentation for LLMs and AI code editors.
GitHub MCP Server★ 31.5k
GitHub's official MCP Server. Allows AI agents to interact directly with your GitHub repositories (read files, search code, issues).
n8n★ 196.7k
Fair-code workflow automation platform with native AI capabilities. Combine visual building with custom code, self-host or cloud, 400+ integrations.
Related searches
Comments
Log in to leave a comment
No comments yet. Be the first!