Alibaba-NLP/DeepResearch

Health v2 · maintenance only

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19878 stars · 1516 forks observed · 2026-08-28

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

Tongyi DeepResearch is an open-source agentic large language model (30.5B total parameters, 3.3B activated per token) plus training and inference code, designed for long-horizon, deep information-seeking tasks on the web. It includes the model weights, a ReAct inference framework, a test-time-scaling Heavy Mode, and a full synthetic-data training pipeline spanning continual pre-training, SFT, and on-policy agent reinforcement learning.

Use cases

• build an autonomous deep research agent that browses the web and compiles reports
• run a self-hosted alternative to OpenAI DeepResearch for complex information-seeking
• answer hard multi-hop research questions like BrowseComp or Humanity's Last Exam
• fine-tune or reproduce an agentic LLM with reinforcement learning and synthetic data
• deploy a research assistant that searches, reads, and synthesizes web sources
• evaluate web agents on deep search benchmarks

When to choose

• you need an open-weights model purpose-built for long-horizon web research and information seeking
• you want to self-host a deep research agent instead of relying on proprietary APIs
• you are researching agentic LLM training pipelines (CPT, SFT, on-policy RL) and want a full reproducible methodology
• you need state-of-the-art open-source performance on deep search benchmarks

When to avoid

• you need a lightweight chatbot for simple Q&A without web research
• you cannot host a 30B-parameter model or afford inference costs for agentic rollouts
• you need a production-ready managed service with guaranteed latency rather than a research codebase
• your task is domain-specific reasoning that does not require web information seeking

Facets

library · maturity active

agent-framework llm-inference rag web-scraping machine-learning artificial-intelligence large-language-models python self-hosted deep-research web-agent information-seeking agentic-llm reinforcement-learning synthetic-data tongyi open-weights ai-agents natural-language-processing search linux macos docker

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markdown · JSON · MCP: product_card(name="Alibaba-NLP/DeepResearch")