Setup & Installation
Or with the ClawHub CLI, for registry-managed skill folders outside a full OpenClaw workspace:
What This Skill Does
ResearchVault manages persistent state for agentic research using a local SQLite database. It stores artifacts, findings, and links across sessions, and supports parallel research paths through branches and hypotheses. A built-in synthesis engine discovers connections between findings using local embeddings.
Persistent local state and embedded synthesis mean research context survives across agent runs without relying on external memory services.
When to use it
- Tracking findings across a multi-session research project
- Running parallel hypotheses on the same research topic
- Monitoring URLs and queries continuously for new developments
- Coordinating multiple AI agents working on the same research vault
- Flagging low-confidence data for automated verification
Example Workflow
Here's how your AI assistant might use this skill in practice.
User asks: research rising underground metal bands in Finland
- 1Initialize a new vault project with an objective using vault.py init
- 2Ingest sources by running scuttle against relevant URLs
- 3Run synthesize to discover and link related findings
- 4Run verify plan to identify and queue low-confidence findings for follow-up
- 5Start the MCP server to share vault state with other agents
A structured SQLite vault with linked findings, verified facts, and hypothesis branches ready for further agent consumption