researchvault

What This Skill Does

ResearchVault is a high-velocity, autonomous research orchestration engine designed specifically for OpenClaw agents. It serves as the primary state manager for complex information gathering and synthesis tasks. Unlike simple web-crawling tools, ResearchVault utilizes local SQLite storage to maintain a persistent record of artifacts, findings, and cross-referenced links. By leveraging divergent reasoning, the agent can initiate parallel research paths through separate branches and hypotheses. The built-in synthesis engine employs local embeddings to identify deep connections between seemingly disparate data points, while the active verification module ensures that agents self-correct and validate information quality through dedicated verification missions. With Watchdog mode, the agent continuously monitors specific URLs or queries, ensuring your research is always up to date.

Installation

ResearchVault requires Python 3.13 and the uv package manager to ensure dependency isolation and high-performance execution. To install the skill, run the following command in your terminal: clawhub install openclaw/skills/skills/lraivisto/luka-rv-brain Ensure your OpenClaw environment is configured to support MCP server connections if you intend to utilize the cross-agent collaboration features.

Use Cases

1. Market Intelligence: Aggregating data on competitors, consumer sentiment, and niche industry trends over an extended period.
2. Scientific Literature Review: Managing vast collections of papers, identifying gaps in research, and verifying claims across documents.
3. Content Creation Pipeline: Organizing research for long-form documentation, blogs, or deep-dive investigations where information density is high.

Example Prompts

1. "Initialize a new ResearchVault project titled 'AI-Safety-Trends' and start scuttling data from the latest ArXiv entries on LLM alignment."
2. "ResearchVault, synthesize the findings from our 'Metal-V1' project and highlight any low-confidence data points that require a verification mission."
3. "Launch the ResearchVault MCP server using stdio transport so I can share my findings with the research-analysis agent."

Tips & Limitations

• Database Management: Since ResearchVault uses SQLite, perform regular backups if you are conducting long-term, high-stakes research.
• Embeddings: Ensure your local machine has sufficient resources to run embedding models for the synthesis engine to function optimally.
• Watchdog Frequency: Be mindful of your monitoring frequency in Watchdog mode to avoid triggering anti-bot protections on target websites.
• Scope: While excellent for structured research, avoid using it for ephemeral or non-data-centric tasks where full state persistence is unnecessary.