researchvault

What This Skill Does

ResearchVault is an autonomous research orchestration engine built for OpenClaw agents. Unlike basic search tools, it functions as a persistent memory and reasoning layer, utilizing a local SQLite-backed vault to store, synthesize, and verify complex information. It enables agents to move beyond simple queries by managing divergent research paths (branches), analyzing connections through embedded vector spaces, and executing autonomous verification missions to ensure data accuracy. The tool is designed for high-velocity research where consistency and depth are paramount.

Installation

To integrate ResearchVault into your OpenClaw environment, ensure you have Python 3.13 and the uv package manager installed. Execute the following command in your terminal:

clawhub install openclaw/skills/skills/lraivisto/research-mind

Once installed, you can initialize a new research project using the CLI: uv run python scripts/vault.py init --id "project-name" --name "Friendly Name" --objective "Detailed research goal".

Use Cases

• Market Intelligence: Aggregating data from multiple industry forums, news sites, and company documentation to map competitive landscapes.
• Academic Synthesis: Organizing massive reading lists into a single knowledge graph, identifying citations, and highlighting contradictions across papers.
• Technical Due Diligence: Using the Watchdog mode to monitor specific repositories or technical documentation for changes, automatically verifying them against existing architectural assumptions.

Example Prompts

1. "Initialize a new ResearchVault project for 'Cloud Native Security Trends' and start scuttling the latest posts from r/kubernetes."
2. "Review the current findings in the 'AI Hardware' vault, identify any low-confidence data points, and launch a verification mission to confirm the specs."
3. "Synthesize all current research threads in my 'Sustainable Energy' vault and generate a report highlighting the most frequent connection between solar efficiency claims and lithium pricing."

Tips & Limitations

• Persistence: Always use the --id flag to ensure data is correctly associated with your project. Data is saved locally, so perform regular backups of the artifacts directory.
• Resource Usage: Synthesis and verification missions can be computationally intensive; monitor your system resources during large-scale ingestion.
• Verification: The 'Active Verification' feature is best used on findings flagged with low confidence. Do not rely on it for non-verifiable opinions or subjective aesthetic judgements. Always review the output of verification missions before finalizing reports.