jimmc414/Kosmos

Kosmos: An AI Scientist for Autonomous Discovery - An implementation and adaptation to be driven by Claude Code or API - Based on the Kosmos AI Paper - https://arxiv.org/abs/2511.02824

What it solves

Kosmos is an autonomous AI scientist designed to automate the process of scientific discovery. It addresses the challenge of synthesizing vast amounts of scientific literature and data to generate testable hypotheses, design experiments, and validate findings without constant human intervention.

How it works

The system operates through an autonomous research loop coordinated by a Research Director. It employs a multi-agent architecture where specialized agents handle different stages of the research process:

  • Hypothesis Generation: Creates testable theories based on literature and data.
  • Experiment Design: Develops protocols to test those hypotheses.
  • Execution: Runs AI-generated code (Python and R) within isolated Docker containers for security.
  • Literature Analysis: Integrates with ArXiv, PubMed, and Semantic Scholar to synthesize papers.
  • Validation: Uses the "ScholarEval" 8-dimension quality framework to verify discoveries.
  • Knowledge Management: Utilizes a hierarchical context compression system (20:1 ratio) to handle large volumes of text and an optional Neo4j knowledge graph to track conceptual relationships.

Who it’s for

Researchers and scientists who want to automate literature reviews, hypothesis generation, and data analysis, as well as developers interested in autonomous agent frameworks for complex scientific workflows.

Highlights

  • Sandboxed Execution: Runs code in restricted Docker containers with no network access and limited resources to ensure safety.
  • Hiearchical Compression: Processes thousands of papers by condensing information through tiered summarization.
  • Multi-LLM Support: Compatible with Anthropic, OpenAI, and LiteLLM (supporting over 100 providers).
  • Budget Control: Includes built-in cost tracking and enforcement to prevent unexpected API expenses.
  • Comprehensive Tooling: Includes a CLI for interactive research, real-time streaming of agent activities, and diagnostic tools.

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