by beita6969
🔬🦞 A self-evolving AI research colleague for scientists. 285 skills, zero hallucination, persistent memory.
# Add to your Claude Code skills
git clone https://github.com/beita6969/ScienceClawGeneral-purpose AI assistants are built for everyone. ScienceClaw is built for researchers.
The core idea is simple: an AI that does real scientific work — searching literature, querying databases, running analyses — and gets better at it the more you use it. It remembers your research context across sessions, adapts its skills to your field, and never fabricates a citation.
ScienceClaw is built on the OpenClaw engine, but redesigned from the ground up for academic research.
<p align="center"> <img src="assets/comparison.png" alt="ScienceClaw vs Standard AI" width="720" /> </p>This is ScienceClaw's most important feature.
Most AI tools ship with a fixed set of capabilities. ScienceClaw's skills evolve with you. Every time you complete a research task, the system learns:
<p align="center"> <img src="assets/skill-evolution.png" alt="Skill Self-Evolution Cycle" width="720" /> </p>What this means in practice:
Compared to standard OpenClaw: OpenClaw ships with ~54 general-purpose skills that don't change. ScienceClaw starts with 285 skills and grows from there — the agent writes new
SKILL.mdfiles at runtime without any redeployment.
Standard AI assistants forget everything when the conversation ends. ScienceClaw doesn't.
<p align="center"> <img src="assets/memory-layers.png" alt="Four-Layer Research Memory" width="720" /> </p>What this enables:
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