SkyworkAI/DeepResearchAgent
Some data may be outdated — see provenance labels.
DeepResearchAgent is a hierarchical multi-agent system designed not only for deep research tasks but also for general-purpose task solving. The framework leverages a top-level planning agent to coordinate multiple specialized lower-level agents, enabling automated task decomposition and efficient execution across diverse and complex domains. observed · 2026-09-29
Health v2 · maintenance only
63/100
- Activity 72
- Release rhythm 65
- Longevity 37
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-10-21. Adoption (stars, forks) is never an input.
- gap_med: 0
- age_days: 519
- days_rel: 238
- days_push: 169
- n_releases_24m: 2
Adoption not part of the score
3552 stars · 455 forks observed · 2026-09-29
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded
DeepResearchAgent is a Python framework for hierarchical multi-agent systems that combines a top-level planning agent with specialized lower-level agents for deep research and general-purpose task solving. It provides a self-evolution protocol and runtime with protocol-registered resources (prompts, agents, tools, environments, memory) and a closed-loop optimization layer for iterative agent improvement.
Use cases
- build a hierarchical multi-agent system for deep research
- automate task decomposition across specialized agents
- run a deep research agent on the GAIA benchmark
- self-improve LLM agent prompts and solutions iteratively
- orchestrate tool-calling agents with memory and tracing
- evaluate agents in browser, filesystem, or trading environments
When to choose
- you need coordinated multi-agent planning and task decomposition
- you want an evolvable agent runtime with versioning, tracing, and rollback
- you need composable agents, tools, environments, and memory in one Python framework
- you are benchmarking general-purpose agents on tasks like GAIA
When to avoid
- you need a simple single-agent chatbot with minimal setup
- you want a production-ready managed agent service rather than a framework
- your use case is unrelated to LLM-based agents or research automation
Facets
framework · maturity active
agent-framework llm-inference prompt-engineering rag workflow-automation web-scraping artificial-intelligence large-language-models developer-tools python cli cross-platform multi-agent hierarchical-agents self-evolution deep-research gaia-benchmark tool-calling agent-memory llm-optimization ai-agents automation
1 source
- readme: https://github.com/SkyworkAI/DeepResearchAgent · fetched 2026-09-29 · 0415866ac77a
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| SkyworkAI/DeepResearchAgent | main | 63 |
For agents
markdown · JSON · MCP: product_card(name="SkyworkAI/DeepResearchAgent")
Data as of 2026-10-19T08:05:51.212177+00:00 · Report a problem