XAgent supports autonomous complex task solving with a large language model agent.
Open source
24 alternativesL2MAC
Use L2MAC, an automatic computer framework built around large language models.
About L2MAC
L2MAC is an open-source Python framework that runs LLM agents to produce long, consistent outputs such as complete codebases from a short prompt. It creates a prompt-program of instruction steps, runs each step in an LLM agent with context managed by a control unit, and reads and writes intermediate and final results to a persistent file store.
It can be used from the command line or as a Python library, with generated code saved to a local ./workspace folder and returned as a dictionary. Use requires Python 3.7+ and configuration of an LLM provider, model, base URL, and API key.
Key features
- Generate full codebase from single-line prompt
- Output codebase as dictionary and local ./workspace folder
- Self-generates and executes multi-step prompt-program
- Reads and writes persistent file-store memory via tools
- Checks syntax errors and runs existing unit tests
- Usable via CLI or Python library import
Best for: Developers who want to generate a full application codebase from a short prompt using Python and their own LLM API key.
Good for
- Open source with CLI and Python library use
- Designed to produce outputs longer than a single LLM context window
- Includes syntax checks and unit test runs for code tasks
Watch out for
- Requires Python 3.7+ installation and setup
- Requires user to configure LLM provider and API key
L2MAC at a glance
- Website
- github.com/samholt/l2mac
- Category
- AI & Machine Learning › AI Agents & Automation
- Type
- Open-source project
- Pricing
- Not confirmed. Check the site
- Open source
- Yes · Source code
- Language
- English
- Last checked
- Oct 5, 2026 · Online when checked
- Listed
- Oct 5, 2026
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L2MAC FAQ
How do I install L2MAC?
It requires Python 3.7+. Install with pip install --upgrade l2mac, or clone the repository and install it locally.
How do I configure L2MAC?
Run l2mac --init-config to create ~/.l2mac/config.yaml, then set the LLM api_type, model, base_url, and api_key.
How do I generate a codebase?
Use the CLI, for example l2mac "Create a ... snake game with pygame...", or call generate_codebase() from Python. Output is saved in ./workspace.
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