AgentEvolver: Towards Efficient Self-Evolving Agent System

Salesforce Enterprise Deep Research

This is AI implementation (not official) of the DreamGym framework from the paper "Scaling Agent Learning via Experience Synthesis" (arXiv:2511.03773).

🛠️ DeepAgent: A General Reasoning Agent with Scalable Toolsets

PyTorch-native post-training at scale

get things from one computer to another, safely

verl-agent is an extension of veRL, designed for training LLM/VLM agents via RL. verl-agent is also the official code for paper "Group-in-Group Policy Optimization for LLM Agent Training"

Learning on the Job: An Experience-Driven, Self-Evolving Agent for Long-Horizon Tasks

A Comprehensive Benchmark to Evaluate LLMs as Agents (ICLR'24)

The official repository of SEED-GRPO: Semantic Entropy Enhanced GRPO for Uncertainty-Aware Policy Optimization

Demystifying Reinforcement Learning in Agentic Reasoning

KnowRL: Exploring Knowledgeable Reinforcement Learning for Factuality

A live stream development of RL tunning for LLM agents

Post-training with Tinker

The code for paper "EPO: Entropy-regularized Policy Optimization for LLM Agents Reinforcement Learning"

Code and implementations for the paper "AgentGym-RL: Training LLM Agents for Long-Horizon Decision Making through Multi-Turn Reinforcement Learning" by Zhiheng Xi et al.

Toolkit for evaluating the trustworthiness of generative foundation models.

Official repository for Beyond Binary Rewards: Training LMs to Reason about Their Uncertainty

Stop Overthinking: A Survey on Efficient Reasoning for Large Language Models

Miroflow is an agent framework that simplifies the development of complex, multi-agent systems. Build, manage, and scale your AI agents with ease.

Build, evaluate and train General Multi-Agent Assistance with ease

DeepResearch Bench: A Comprehensive Benchmark for Deep Research Agents