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    1. Home
    2. Tools
    3. mini-SWE-agent
    mini-SWE-agent icon

    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

    Engagement

    Available On

    macOS
    Linux
    SDK

    Resources

    WebsiteDocsGitHubllms.txt

    Topics

    AI Coding AssistantsCommand Line AssistantsAgent Frameworks

    Alternatives

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    Developer
    SWE-agentPrinceton, NJEst. 2023

    Updated Feb 2026

    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.

    mini-SWE-agent - 1

    Community Discussions

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    Share your experience with mini-SWE-agent, ask questions, or help others learn from your insights.

    Pricing

    OPEN SOURCE

    Open Source (MIT)

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

    • MIT license
    • Self-hosted
    • Full feature access

    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.

    Founded 2023
    Princeton, NJ
    7 employees

    Used by

    Hugging Face
    Cognition AI (competitor/user of…
    Microsoft/GitHub (integration partner)
    Read more about SWE-agent
    WebsiteGitHub
    1 tool in directory

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