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mini-SWE-agent

AI Coding Assistants

100-line Python coding agent with CLI/TUI that fixes GitHub issues and automates repo tasks. Model-agnostic via LiteLLM, sandboxable (Docker/Podman/Bubblewrap), with an Inspector to browse trajectories.

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At a Glance

Pricing

Open Source

Get started with mini-SWE-agent at no cost with MIT license and Self-hosted.

Engagement

Available On

macOS
Linux
SDK

Resources

WebsiteDocsGitHubllms.txt

Topics

AI Coding AssistantsCommand Line AssistantsAgent Frameworks

About mini-SWE-agent

mini-SWE-agent is a lightweight software-engineering agent implemented in ~100 lines of Python. It’s designed to solve real GitHub issues and help with command-line coding tasks while remaining easy to read, extend, and research.

Key design choices keep the scaffold minimal and transparent: the agent issues only bash commands (no tool-calling APIs), executes each action with subprocess.run (no persistent shell state), and maintains a strictly linear message history for straightforward debugging and fine-tuning. The project ships with a simple CLI, a richer terminal UI (mini -v), batch runners for evaluation (e.g., SWE-bench), and an Inspector to browse .traj.json runs.

Models are pluggable through LiteLLM (and a direct Anthropic adapter), so you can use OpenAI, Anthropic, and many other providers—or run local models. Environments include local execution and sandboxed options (Docker, Podman, Singularity/Apptainer, Bubblewrap, and SWe-ReX). Installation is a single pip/pipx/uv command.

The result is a small, hackable agent that’s practical for day-to-day development and robust for reproducible research and benchmarking.

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Pricing

OPEN SOURCE

Open Source

Get started with mini-SWE-agent at no cost with MIT license and Self-hosted.

  • MIT license
  • Self-hosted
  • Full feature access
View official pricing

Capabilities

Key Features

  • Minimal agent (~100 lines) focused on bash-only actions
  • CLI (mini) and enhanced terminal UI (mini -v)
  • Inspector to browse .traj.json trajectories
  • Batch mode for evaluations (e.g., SWE-bench scripts)
  • Linear message history for easy debugging and fine-tuning
  • Action execution via subprocess.run (stateless commands)
  • Model-agnostic via LiteLLM; direct Anthropic adapter included
  • Supports local models (via LiteLLM) and cloud providers
  • Sandboxed environments: Docker, Podman, Singularity/Apptainer, Bubblewrap
  • Python API bindings for embedding the agent in projects
  • Configurable prompts and control flow; cookbook examples included

Integrations

LiteLLM
OpenAI API
Anthropic API
Ollama (via LiteLLM)
Docker
Podman
Singularity/Apptainer
Bubblewrap
SWE-bench
SWE-ReX

Reviews & Ratings

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Developer

SWE-agent

Open-source research group behind SWE-bench, SWE-agent, and mini-SWE-agent, led by researchers from Princeton University and Stanford University.

Read more about SWE-agent
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