TencentCloudADP/youtu-agent

Health v2 · maintenance only

Flags: no_license

Adoption not part of the score

4622 stars · 485 forks observed · 2026-09-30

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

Youtu-Agent is a Python framework for building, running, and evaluating autonomous LLM agents, supporting ReAct-style single agents and plan-and-execute multi-agent systems. It works with open-weight models like DeepSeek-V3, and includes automated agent generation, experience-based learning, and end-to-end RL training pipelines.

Use cases

• build autonomous ai agents with open-source llms
• run deep research agents on gaia benchmark
• train agents with reinforcement learning
• automatically generate agent tools and prompts
• evaluate llm agents on web qa benchmarks
• create multi-agent plan-and-execute workflows
• improve agent performance without fine-tuning

When to choose

• you want state-of-the-art open-source agent baselines on benchmarks like GAIA or WebWalkerQA
• you need end-to-end RL training for agents at scale
• you prefer open-weight models like DeepSeek over proprietary APIs
• you want automated generation of agent configs, prompts, and tool code

When to avoid

• you need a simple chatbot with minimal setup
• you depend exclusively on closed-source model ecosystems like OpenAI Assistants
• you need a production-ready no-code agent platform for non-developers

Facets

framework · maturity active

agent-framework llm-inference llm-training web-scraping data-science benchmarking large-language-models artificial-intelligence reinforcement-learning developer-tools python deep-research gaia-benchmark rl-training multi-agent open-source-models tool-synthesis hydra-config ai-agents linux macos docker gpu

Member repositories

For agents

markdown · JSON · MCP: product_card(name="TencentCloudADP/youtu-agent")