Research Assistant for Openclaw

A sophisticated knowledge management tool for agents to structure, store, and retrieve research notes across multiple sessions.

johstracke
v1.0.1
Feb 8, 2026
3
4.1k
30

Install & Download

1. ClawHub CLI

The fastest way to install a skill directly from the registry.

npx clawhub@latest install research-assistant

2. Manual Installation

Copy the skill folder to one of these locations

Global
~/.openclaw/skills/
Workspace
<project>/skills/

Priority: Workspace > Local > Bundled

3. Prompt Installation

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).

Prefer to download?

Get the raw skill files in a ZIP archive.

What is Research Assistant?

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.

Research Assistant Use Cases

  • Managing context for multi-session development projects that require long-term memory.
  • Tracking and categorizing business ideas or experimental results with specific tags.
  • Organizing technical research and API documentation during the discovery phase of building new tools.
  • Planning content calendars and storing reference materials for technical writing.
  • Maintaining a structured log of autonomous income experiments and performance metrics.

How Research Assistant Works

  1. The agent captures information and uses the add command to store it under a specific topic with relevant tags.
  2. All entries are timestamped and stored in a centralized JSON database within the secure workspace.
  3. The agent or user can perform case-insensitive searches across all topics and note contents to retrieve historical data.
  4. When a research phase is complete, the export function generates a clean Markdown file with formatted hashtags for external use.
  5. Security protocols validate all export paths to ensure data is only written to safe, authorized directories.

Research Assistant Setup

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 Assistant Data Schema & Taxonomy

Research data is managed in a structured JSON format to ensure portability and easy backups.

  • Primary Storage: ~/.openclaw/workspace/research_db.json
  • Metadata Taxonomy:
    • Topics: Unique identifiers for research areas (e.g., market-analysis).
    • Creation Date: Automatic timestamp of the first note in a topic.
    • Tags: User-defined strings for cross-topic filtering.
    • Note Body: The raw text content of the research finding.

Research Assistant Advanced Features

  • Advanced path validation (v1.0.1+) prevents prompt injection attacks by restricting file exports to safe directories like the workspace or /tmp.
  • Persistent JSON database allows for easy migration or manual backup of all stored knowledge.
  • Markdown export utility automatically formats tags as hashtags, making files compatible with modern PKM tools like Obsidian or Notion.
  • High-performance search capability that scans both note content and topic titles simultaneously.
  • Native compatibility with other Openclaw Skills designed for workspace and file system interaction.

SKILL.md


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