What is InternAgentS
InternAgentS is an open-source domestic research agent workbench from Shanghai AI Laboratory, aimed at AI for Science scenarios, integrating scattered steps such as paper reading, experiment analysis, code iteration, remote computing, and research writing into a unified project space. The platform supports multi-model access including DeepSeek, Qwen, Kimi, GLM, Intern-S, and Claude, and can be deployed locally to ensure the security of unpublished papers and experimental data. InternAgentS has integrated SCP 2.0's 3600+ research tools and Skills, covering six major disciplines and supporting the MCP protocol.
Main Features of InternAgentS
- Project Space Management: Organize papers, code, data, experimental results, scientific charts, and generated artifacts around research projects, forming a traceable research workflow.
- Literature Reading and Writing: Agents assist with literature research, method comparison, report writing, and paper writing, and deposit artifacts back into the project space.
- Experiment Analysis and Code Iteration: Support experiment analysis, code modification, result organization, and generation of stage conclusions.
- Remote Computing: Connect to remote Linux hosts, execute computing tasks after researcher review and authorization, and complete result retrieval and subsequent analysis.
- Multi-Model Access: Support DeepSeek, Qwen, Kimi, GLM, Intern-S, Claude, and private model services deployed locally or on institutional intranets.
- Tool Ecosystem Integration: Integrate SCP 2.0's 3600+ research tools and Skills, covering six major disciplines including biology, chemistry, physics, materials science, earth science, and mathematics and information science.
- Protocol Compatibility: Support SCP (Scientific Context Protocol) and MCP protocols, facilitating the expansion of third-party tool integration.
Follow WeChat and reply "open source" to join theAI Open Source Project Exchange Group
How to Use InternAgentS
-
Visit the official website: Visit the InternAgentS official website https://internagents.github.io/ to learn about project information and documentation.
-
Clone the repository: Clone the InternAgentS repository from GitHub to a local environment for installation and deployment.
-
Create a project space: Configure a research project and import papers, code, data, and related research materials.
-
Configure models: Select and connect the required AI models (domestic models, Claude, or local private models).
-
Connect tools: Configure SCP/MCP connections and integrate research tools and Skills.
-
Initiate tasks: In the project, have the agent assist with literature reading, experiment analysis, code modification, and other work.
-
Review and authorization: Review intermediate artifacts generated by the agent, authorize remote computing tasks, and retrieve analysis results.
Core Advantages of InternAgentS
-
Domestic, open-source, and controllable: Fully open source, supports local deployment, ensuring research data security for university laboratories and corporate R&D departments.
-
Flexible multi-model adaptation: Not limited to a single model, supports mainstream domestic and international models as well as local private models, avoiding vendor lock-in.
-
Complete project context: Integrate scattered research steps into a single workspace, forming a traceable, reusable, and iterable research workflow.
-
Rich tool ecosystem: Access 3600+ research tools and Skills, with deep coverage across six major disciplines, far exceeding the number of tools in general AI workbenches.
-
Remote computing support: Connect to remote Linux hosts to execute computing tasks, suitable for high-performance computing and complex simulation scenarios.
-
Open protocols: Support both SCP and MCP protocols, facilitating community expansion and third-party tool integration, and building open research agent infrastructure.
InternAgentS project address
- Project official website：https://internagents.github.io/
- GitHub repository：https://github.com/qzzqzzb/OpenClaudeScience
Comparison of InternAgentS with similar competing products
| Dimension | InternAgentS | Claude Science |
|---|---|---|
| Open source | Fully open source, code is auditable | Closed source, only cloud services provided |
| Model selection | Supports multiple models (domestic + international + local) | Limited to Claude models |
| Data security | Supports local deployment, data can remain entirely local | Data must be uploaded to Anthropic cloud |
| Tool ecosystem | Access to SCP 2.0, 3600+ research tools and Skills | Built-in tools, relatively limited in number |
| Discipline coverage | Deep coverage across six major disciplines | General research scenarios, relatively shallow disciplinary depth |
| Deployment method | Flexible deployment locally/in institutional intranet/in the cloud | Cloud services only |
| Community co-building | Open community, encouraging global researchers to co-build | Maintained officially by Anthropic, low community participation |
Application scenarios of InternAgentS
-
Materials science analysis: Perform material property calculations, crystal structure analysis, and data mining to assist in the discovery and screening of new materials.
-
Computational chemistry research: Complete complex tasks such as molecular simulation, reaction pathway calculation, and quantum chemistry calculation, such as caffeine molecule calculation.
-
Engineering modeling and simulation: Build physical models (such as Y-shaped microfluidic mixers, fan turbulence intensity analysis) and perform numerical simulation.
-
Literature review and report writing: Automatically retrieve large amounts of literature, extract key information, and generate structured literature reviews and research reports.
-
Interdisciplinary collaborative research: Integrate tools and data resources from different disciplines to support cross-disciplinary research projects in fields such as biology, chemistry, and physics.