ResearchVault is a high-velocity research orchestration engine that manages persistent state, synthesis, and autonomous verification for AI agents.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install luka-rv-brain
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install luka-rv-brain 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 ResearchVault?
ResearchVault serves as a robust autonomous state manager designed specifically for agentic research workflows. By providing a persistent layer for findings and artifacts, it allows agents to maintain context across long-running tasks. This skill is a core component within the Openclaw Skills ecosystem, enabling developers to build agents that don't just search, but actually understand and verify information over time.
The engine utilizes a local SQLite database to store research data, ensuring that every hypothesis and discovery is logged and accessible. With built-in support for divergent reasoning and automated synthesis, ResearchVault transforms raw data ingestion into a structured knowledge graph that agents can navigate and refine autonomously.
ResearchVault Use Cases
- Managing long-term research projects that require persistent state between agent sessions.
- Exploring complex topics through parallel research paths and divergent reasoning branches.
- Automating the verification of low-confidence data points through self-correcting agent missions.
- Continuous monitoring of web sources and URLs using the background Watchdog Mode.
- Enabling multi-agent collaboration on shared research data via the Model Context Protocol (MCP).
How ResearchVault Works
- The user or agent initializes a research project with a unique ID and specific objective to create the local SQLite vault.
- Data is ingested from multiple sources using the scuttle command, which populates the vault with raw artifacts.
- The synthesis engine processes these artifacts, using local embeddings to discover and create links between related findings.
- If data confidence is low, the skill plans and executes verification missions to self-correct and validate the information.
- The research can be branched into multiple hypotheses to explore different reasoning paths without corrupting the main data set.
- The data is made available to other tools or agents through a native MCP server implementation.
ResearchVault Setup
To get started with this skill within the Openclaw Skills framework, ensure you have Python 3.13 and the uv package manager installed.
# Initialize the ResearchVault environment
uv venv
uv pip install -e .
# Create a new research project
uv run python scripts/vault.py init --id "research-id" --name "Project Name" --objective "Define goals"
ResearchVault Data Schema & Taxonomy
ResearchVault organizes information into a structured SQLite database to ensure data integrity and easy retrieval.
| Entity | Description |
|---|---|
| Artifacts | Raw data collected from external sources and URLs. |
| Findings | Refined, atomic pieces of information extracted from artifacts. |
| Links | Relationships and connections discovered by the synthesis engine. |
| Branches | Independent research paths used for divergent reasoning. |
| Verification | Logs of missions executed to validate specific data points. |
ResearchVault Advanced Features
- Native MCP Server support for standardized cross-agent communication and tool integration.
- Divergent Reasoning engine that allows for the creation of parallel research branches and hypotheses.
- Automated Synthesis Engine that utilizes local embeddings for intelligent link-discovery between findings.
- Watchdog Mode for continuous, autonomous background monitoring of specific search queries and URLs.
- Active Verification system that automatically generates missions to resolve data contradictions.
SKILL.md
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