A Language Agent Gym with Challenging Scientific Tasks
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Updated
Jun 3, 2025 - Python
A Language Agent Gym with Challenging Scientific Tasks
[NeurIPS 2024] Official implementation for paper "Can Graph Learning Improve Planning in LLM-based Agents?"
A Software Framework Enabling Modular Interchange of Language Agents, Environments, and Optimizers
Benchmark for LLM-based Agents in Computational Biology
twagents is a framework for building and comparing language model agents with different memory architectures in interactive, text-based environments. It is designed to work with TextWorld and focuses on exploring how working, episodic, and semantic memory influence agent behavior, recall, and decision-making.
Explore the capabilities of LLMs within agentic architectures for Georelating natural disaster events.
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