InternScience/InternAgent
InternAgent-1.5: A Unified Agentic Framework for Long-Horizon Autonomous Scientific Discovery observed · 2026-08-28
Health v2 · maintenance only
62/100
- Activity 95
- Release rhythm 35
- Longevity 33
Flags: no_releases no_license
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-02. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 474
- days_rel: n/a
- days_push: 35
- n_releases_24m: 0
Adoption not part of the score
1415 stars · 127 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
InternAgent-1.5 is a Python-based unified agentic framework for long-horizon autonomous scientific discovery, orchestrating multi-agent systems that generate hypotheses, run experiments, and reproduce scientific papers. It supports end-to-end automation across physical, biology, earth, and life sciences, plus algorithm discovery and deep research capabilities.
Use cases
- automate end-to-end scientific research from hypothesis to experiment
- generate and validate research hypotheses with LLM agents
- reproduce scientific papers autonomously
- run multi-agent deep research on complex questions
- discover and optimize algorithms automatically
- coordinate wet-lab and dry-lab experiment workflows
- build custom multi-agent pipelines for scientific tasks
When to choose
- you need autonomous agents that run long-horizon scientific research workflows
- you want hypothesis generation, experiment execution, and paper reproduction in one framework
- you need multi-agent orchestration across scientific domains like biology or physics
- you want an open-source AI-scientist system with deep research integration
When to avoid
- you need a simple single-agent chatbot or assistant
- your use case is general-purpose web or app development
- you require a lightweight agent framework with minimal dependencies
- you cannot provide LLM API keys or lack GPU/API resources for large-scale inference
Facets
framework · maturity active
agent-framework llm-inference machine-learning rag workflow-automation artificial-intelligence large-language-models data-science python cross-platform ai-scientist autonomous-scientific-discovery hypothesis-generation multi-agent-systems deep-research paper-reproduction long-horizon-agents coding-agents ai-agents research-automation linux macos
2 sources
- readme: https://github.com/InternScience/InternAgent · fetched 2026-08-28 · 25437546c9db
- homepage: https://discovery.intern-ai.org.cn/home · fetched 2026-08-29 · aaf8c7eea79c
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| InternScience/InternAgent | main | 62 |
For agents
markdown · JSON · MCP: product_card(name="InternScience/InternAgent")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem