A local-first orchestration engine that manages persistent research state, synthesis, and autonomous verification for AI agents.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install researchvault
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install researchvault using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
ResearchVault is a robust, privacy-centric research orchestration engine designed to handle complex data synthesis and state management. As a specialized tool often used alongside Openclaw Skills, it prioritizes local storage and security, keeping all research data in a local SQLite database rather than the cloud.
The engine is built for developers and researchers who require strict control over their network transparency and data provenance. It features hardened SSRF protection, ensuring that outbound connections only occur for authorized search tasks. By providing a structured way to manage research objectives and ingested data, ResearchVault enables AI agents to perform deeper, more reliable analysis without sacrificing privacy.
To get started with ResearchVault as part of your Openclaw Skills toolkit, follow these installation steps:
# Create and activate a virtual environment
python3 -m venv .venv
source .venv/bin/activate
# Install the package in editable mode
pip install -e .
# Initialize a new research project
python scripts/vault.py init --objective "Your Research Goal" --name "Project-Name"
ResearchVault uses a structured approach to manage research data locally. The following table outlines the primary data organization:
| Component | Location / Method | Description |
|---|---|---|
| Core Database | ~/.researchvault/research_vault.db |
SQLite database containing all research state and ingested content. |
| Portal State | ~/.researchvault/portal |
Directory for managing portal-specific metadata and sessions. |
| Metadata | Internal Schema | Tracks project IDs, objectives, and timestamps for synthesis. |
| Auth Secrets | .portal_auth |
Stores generated tokens for secure web access. |
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A local-first research orchestration engine designed to manage persistent state, synthesis, and autonomous verification for AI agents.

A local orchestration engine for managing long-running research tasks with high reliability and zero external costs.

A high-velocity research orchestration engine designed to manage persistent state, synthesis, and autonomous verification for agents.

A sophisticated state management and orchestration engine designed to empower autonomous agents with persistent memory, synthesis capabilities, and verification workflows.

An autonomous state management engine designed to orchestrate persistent research, synthesis, and verification for AI agents.

A high-velocity research orchestration engine that manages persistent state, synthesis, and autonomous verification for AI agents.








































