princeton-nlp/SWE-agent
SWE Agent
SWE-agent is a collection of autonomous agents designed for software engineering, competitive programming, and offensive cybersecurity operations. These agents utilize large language models to navigate codebases, interact with file systems, and use terminal interfaces to resolve GitHub issues or complete technical challenges.
The system employs specialized agent modes that switch prompting strategies based on whether the task is a software bug, an algorithmic programming problem, or a security vulnerability. It includes dedicated capabilities for automated repository maintenance and offensive security automation, such as identifying system weaknesses and completing capture-the-flag tasks.
Execution is managed through a tool-integrated shell interface and a file-system based workspace. The architecture uses an observation-action feedback cycle and acyclic state management to track progress and process command outputs, iteratively refining actions until a defined goal is achieved.
Features
- Automated Fix Verifiers - Autonomously navigates codebases to identify software issues and apply permanent fixes to GitHub issues.
- Automated Software Engineering Agents - Coordinates specialized agents to achieve general software engineering goals and translate requirements into functional software.
- Autonomous Software Engineering - Uses large language models to navigate codebases and automatically resolve GitHub issues.
- Autonomous Security Agents - Performs offensive security operations and solves capture-the-flag challenges using autonomous tool usage.
- LLM-Driven Agent Loops - Iteratively generates tool calls and processes feedback through a language model until a goal is achieved.
- Autonomous CTF Solvers - Features a specialized agent mode designed to find system weaknesses and complete capture-the-flag security tasks.
- Competitive Programming Automation Tools - Solves complex algorithmic challenges by using a language model to generate and execute code in a sandbox.
- Autonomous Problem Solvers - Provides an autonomous toolset for solving complex logic and algorithmic problems common in competitive programming.
- Automated Issue Resolvers - Autonomously identifies software issues and applies permanent fixes by navigating repositories and codebases.
- Autonomous Repository Managers - Automates the process of identifying and resolving software defects within version controlled projects.
- Autonomous Algorithmic Agents - Designed to solve algorithmic problems and complete competitive coding tasks using a language model.
- Offensive Operations - Identifies system weaknesses and completes capture-the-flag challenges through autonomous agent interaction.
- Offensive Security Frameworks - Provides a modular platform for performing offensive cybersecurity tasks and completing competitive security challenges.
- Acyclic Progress Tracking - Tracks project state and task progress to prevent the agent from looping on failed attempts.
- Task-Specific Prompting Strategies - Implements specialized agent modes that switch prompting strategies depending on whether the task is a software bug or a security challenge.
- AI Code Editors - Interacts with a terminal and file system to identify bugs and apply permanent software fixes.
- Action-Observation Cycles - Feeds command output and error messages back into the model to refine the subsequent action selection.
- Prompting Strategies - Adjusts model instructions and behavioral patterns based on the specific software or security task context.
- File System Workspaces - Maintains a persistent local directory for modifying source code and running test suites during execution.
- Shell Command Execution - Provides a restricted terminal environment for executing system commands and interacting with the local file system.
- Agent Frameworks - Automated GitHub issue fixer using LLMs.
- AI Coding Assistants - Agentic interface for software engineering tasks.
- AI Coding Assistants - Uses specialized interfaces to solve software engineering benchmarks.
- Code Editors and Assistants - Autonomous agent that resolves GitHub issues by navigating and editing code.
Star history
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