“Python”

Policy enforcement, identity, sandboxing and reliability tooling for autonomous AI agents, installable with one pip command.

Open-source framework that builds, evaluates and self-improves multi-agent LLM workflows from a goal.

Library for LLM post-training (SFT, DPO, GRPO and agentic RL) and classic RL, with evolutionary hyperparameter optimization.

Framework for building, running and evaluating autonomous agents, with a planner-based multi-agent mode, skills and agent RL training.

Java library for stateful, multi-agent LLM applications built as cyclical graphs, designed to work with langchain4j and Spring AI.