ResearAI/DeepScientist

Health v2 · maintenance only

Adoption not part of the score

3296 stars · 329 forks observed · 2026-08-28

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

DeepScientist is a local-first autonomous research studio that runs the full scientific research loop on your machine, from baselines and experiment rounds to paper-ready outputs. It integrates LLM coding agents (Codex, Claude Code, Kimi Code, OpenCode) with Findings Memory, Bayesian optimization, and a Research Map to iteratively drive experiments forward.

Use cases

• run autonomous AI-driven scientific experiments locally
• automate the machine learning research loop from baseline to paper
• use LLM coding agents to conduct research projects
• optimize experiments with Bayesian optimization and findings memory
• generate paper-ready outputs from automated research
• manage research progress with one repo per quest and human takeover

When to choose

• you want a self-hosted autonomous research agent that keeps the full experiment loop local
• you already use Codex, Claude Code, Kimi Code, or OpenCode and want them orchestrated for research
• you need visible, incremental research progress with human intervention at any point

When to avoid

• you need a one-shot AI scientist that produces results without iterative experiment management
• you lack the local compute or API access required to run LLM coding agents
• you want a fully managed cloud research service rather than a local setup

Facets

application · maturity active

agent-framework llm-inference machine-learning workflow-automation developer-tools artificial-intelligence data-science developer-tools python cross-platform self-hosted cli autonomous-research ai-scientist experiment-automation bayesian-optimization paper-writing local-first research-studio agent-orchestration ai-agents research-automation

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markdown · JSON · MCP: product_card(name="ResearAI/DeepScientist")