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[Roadmap] Uni-Agent 26Q3 Roadmap #79

Description

@yyDing1

Refactor

First, uni-agent will focus on refactoring at the framework level to make the framework more user-friendly.

Image

Then, building upon the new feat, we plan to implement the following features.

Performance optimization

These performance optimization features for Agentic RL will be initially incubated and validated within the uni-agent repository for rapid iteration. Once the architecture matures and stabilizes, we plan to upstream/migrate them into the main verl repository.

  • Communication Bottleneck Optimization for Multi-Modal Agentic RL
  • Hybrid Sequence Parallelism for Long-Context Agentic RL

Gateway

Agent

  • Claude Code Harness
  • Support multi-agent/multi-policy training
  • Claw-style agent, e.g., openclaw
  • AI4S agents, e.g., claude science

Task

  • Support GUI Agent (e.g., OS-World)

Sandbox

RL recipe

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