RUC-NLPIR/DeepAgent

Health v2 · maintenance only

Flags: no_releases

Adoption not part of the score

1134 stars · 140 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

DeepAgent is a general reasoning agent framework that dynamically searches for and uses tools from large toolsets (e.g., 16,000+ RapidAPIs) in an end-to-end agentic reasoning process. It is a Python research codebase from RUC NLPIR accompanying a WWW 2026 paper, deployable with reasoning models like QwQ and Qwen3.

Use cases

• build an LLM agent that discovers and calls APIs from a large toolset
• run a reasoning agent on general tasks with scalable toolsets
• evaluate agents on ToolBench-style API tool use
• run embodied AI agent tasks in ALFWorld
• deploy an agent with QwQ or Qwen3 reasoning models

When to choose

• you need an agent that scales to thousands of tools via retrieval
• you are reproducing or extending the DeepAgent research
• you want an open-source reasoning agent with custom toolsets

When to avoid

• you need a production-ready commercial agent platform
• you want a simple agent without tool retrieval complexity
• you need non-Python environments

Facets

framework · maturity active

agent-framework llm-inference artificial-intelligence large-language-models python windows tool-retrieval rapidapi agentic-reasoning research llm-agent tool-use reasoning ai-agents linux macos

Member repositories

For agents

markdown · JSON · MCP: product_card(name="RUC-NLPIR/DeepAgent")