A sophisticated knowledge management tool for agents to structure, store, and retrieve research notes across multiple sessions.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install research-assistant
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install research-assistant using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The Research Assistant is a specialized tool designed to solve the problem of context loss in long-running agent projects. As a core component among Openclaw Skills, it provides agents with a persistent memory layer to store research findings, brainstormed ideas, and technical specifications. By organizing information into topics with associated tags, it ensures that every piece of data collected during a session is searchable and retrievable in the future.
This skill is particularly valuable for developers building complex workflows where an agent must aggregate information from various sources. It bridges the gap between transient execution and permanent knowledge by using a structured JSON backend. Whether you are conducting market analysis or tracking experiment results, integrating this into your set of Openclaw Skills allows for a more professional and organized approach to autonomous research.
To begin using the Research Assistant, ensure the script is available in your agent's path. The database will be automatically initialized in your workspace.
# Add a research note to a topic
research_organizer.py add "ai-trends" "LLM context windows are expanding rapidly" "research" "llm"
# Search your research history
research_organizer.py search "context windows"
Research data is managed in a structured JSON format to ensure portability and easy backups.
~/.openclaw/workspace/research_db.jsonmarket-analysis).Loading
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