Future-House/ldp

Framework enabling modular interchange of language agents, environments, and optimizers

63
/ 100
Established

This project provides a framework for developers to create and evaluate language agents that interact with environments using natural language. It allows you to define agents that process natural language observations and produce natural language actions or tool calls. The framework takes in agent logic and environmental data, and outputs agent behaviors and performance metrics for developers building AI agents.

125 stars. Used by 2 other packages. Available on PyPI.

Use this if you are a developer building and testing complex language agents that need to interact with various simulated environments and require a modular, differentiable framework for their development.

Not ideal if you are an end-user looking for a ready-to-use AI tool or application; this is a developer framework for building such tools.

AI-agent-development language-model-engineering reinforcement-learning-with-LLMs computational-linguistics-R&D AI-system-design
Maintenance 10 / 25
Adoption 12 / 25
Maturity 25 / 25
Community 16 / 25

How are scores calculated?

Stars

125

Forks

17

Language

Python

License

Apache-2.0

Last pushed

Mar 13, 2026

Commits (30d)

0

Dependencies

10

Reverse dependents

2

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