researchvault

What This Skill Does

ResearchVault is a high-velocity research orchestration engine designed to transform OpenClaw into a sophisticated cognitive research assistant. Unlike basic search tools, it functions as a persistent memory and synthesis hub for complex investigative workflows. At its core, it leverages local SQLite storage to maintain the integrity of artifacts, findings, and web references across long-running sessions. The engine supports divergent reasoning, allowing agents to spawn multiple research branches and competing hypotheses, which are then reconciled through its automated synthesis engine using local embeddings. Furthermore, the skill integrates 'Active Verification' protocols, enabling agents to run verification missions to self-correct and validate information, reducing the hallucination risk inherent in autonomous research.

Installation

To integrate ResearchVault into your agent ecosystem, you must have Python 3.13 and the uv package manager installed. Execute the following command in your terminal to pull the skill from the official repository: clawhub install openclaw/skills/skills/lraivisto/vault-research-brain Once installed, you can initialize a research project using the CLI interface: uv run python scripts/vault.py init --id "project-name" --name "Display Name" --objective "Primary Research Goal".

Use Cases

ResearchVault is ideal for deep-dive technical research, market analysis, and multi-source investigative journalism. It shines when you need to track information over time, such as monitoring industry trends across various subreddits and news feeds. It is also excellent for academic literature reviews where maintaining a map of interconnected sources is critical. By utilizing its MCP (Model Context Protocol) server, the skill allows multiple agents to share a single research state, enabling collaborative teams of agents to work on disparate parts of a complex thesis without data silos.

Example Prompts

1. "Initialize a new research vault named 'Quantum-Computing-Analysis' and set the objective to track the latest breakthroughs in superconducting qubits."
2. "Scuttle the content from these three URLs and synthesize them with our current project findings to look for commonalities."
3. "Review the current research branch on low-confidence data points and initiate a verification mission to confirm the reliability of the claims made in the recent synthesis report."

Tips & Limitations

To maximize performance, ensure your environment has adequate disk space for the SQLite databases and local embedding caches. Note that ResearchVault is designed for structured research; while it supports 'Watchdog Mode' for continuous monitoring, it is not a general-purpose web scraper. Always set specific objectives during the initialization phase, as the synthesis engine relies heavily on the defined goal to maintain relevant linkages between findings. Because this skill interacts with external URLs and performs local file system writes, monitor the safetyFlags to ensure your security policies are met.