An autonomous state management engine designed to orchestrate persistent research, synthesis, and verification for AI agents.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install vault-research-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 vault-research-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 is a sophisticated orchestration engine designed for high-velocity agentic research. It functions as a persistent local state manager, utilizing SQLite to store artifacts, findings, and links. By integrating this into Openclaw Skills, developers can enable agents to handle complex, long-running research tasks that require divergent reasoning and autonomous verification.
The tool goes beyond simple storage by offering a synthesis engine that uses local embeddings for automated link discovery. This allows agents to bridge gaps between disparate data points, creating a cohesive knowledge graph. Whether managing parallel research paths via hypotheses or ensuring data integrity through self-correcting verification missions, ResearchVault provides the infrastructure needed for robust AI-driven discovery.
ResearchVault Use Cases
- Managing long-term, multi-session research projects that require persistent memory and state.
- Executing parallel research workflows using divergent reasoning to explore multiple hypotheses simultaneously.
- Automating the verification of low-confidence data through self-correcting agent missions.
- Building cross-agent collaborative environments using the native MCP server support.
- Continuous background monitoring of specific URLs or search queries via Watchdog Mode.
How ResearchVault Works
- Initialize a research project with a specific objective to create a local vault instance.
- Ingest data from multiple sources like web URLs or raw text using the scuttle command.
- Execute the synthesis engine to discover relationships and link findings based on local embeddings.
- Run verification plans to identify and correct low-confidence data points autonomously.
- Expose the research state to other agents via the MCP server for collaborative refinement.
ResearchVault Setup
To get started with this skill within your Openclaw Skills collection, ensure you have Python 3.13 or higher and the uv package manager installed. Follow these steps to initialize the environment:
# Initialize the virtual environment and install dependencies
uv venv
uv pip install -e .
# Initialize your first research project
uv run python scripts/vault.py init --id "project-id" --name "Project Name" --objective "Research Goal"
ResearchVault Data Schema & Taxonomy
ResearchVault organizes data within a local SQLite database using several key entities to maintain a structured research environment:
| Entity | Description |
|---|---|
| artifacts | Raw data objects collected during the ingestion phase. |
| findings | Distilled pieces of information or facts derived from artifacts. |
| links | Relationships between findings established by the synthesis engine. |
| branches | Parallel research paths used for divergent reasoning. |
| hypotheses | Theoretical propositions being tested during the research lifecycle. |
| verification_missions | Records of self-correction tasks executed by agents. |
ResearchVault Advanced Features
- Divergent Reasoning Support: Create and manage branches to explore parallel research paths without polluting the main state.
- Synthesis Engine: Automated discovery of semantic links using local embedding models for better context.
- MCP Server Integration: Native support for the Model Context Protocol, enabling seamless integration with other Openclaw Skills.
- Watchdog Mode: Enables continuous background monitoring of URLs and data sources for real-time research updates.
- Active Verification: Agents can plan and execute self-correction missions to improve the reliability of the research vault.
SKILL.md
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