---
name: researchvault
description: "High-velocity research orchestration engine. Manages persistent state, synthesis, and autonomous verification for agents."
metadata:
{
"openclaw":
{
"requires": { "python": ">=3.13", "bins": ["uv"] },
"install":
[
{
"id": "vault-venv",
"kind": "exec",
"command": "uv venv && uv pip install -e .",
"label": "Initialize ResearchVault Environment",
},
],
},
}
---
# ResearchVault 🦞
Autonomous state manager for agentic research.
## Core Features
- **The Vault**: Local SQLite persistence for `artifacts`, `findings`, and `links`.
- **Divergent Reasoning**: Create `branches` and `hypotheses` to explore parallel research paths.
- **Synthesis Engine**: Automated link-discovery using local embeddings.
- **Active Verification**: Self-correcting agents via `verification_missions`.
- **MCP Server**: Native support for cross-agent collaboration.
- **Watchdog Mode**: Continuous background monitoring of URLs and queries.
## Workflows
### 1. Project Initialization
```bash
uv run python scripts/vault.py init --id "metal-v1" --name "Suomi Metal" --objective "Rising underground bands"
```
### 2. Multi-Source Ingestion
```bash
uv run python scripts/vault.py scuttle "https://reddit.com/r/metal" --id "metal-v1"
```
### 3. Synthesis & Verification
```bash
# Link related findings
uv run python scripts/vault.py synthesize --id "metal-v1"
# Plan verification for low-confidence data
uv run python scripts/vault.py verify plan --id "metal-v1"
```
### 4. MCP Server
```bash
uv run python scripts/vault.py mcp --transport stdio
```
## Environment
Requires Python 3.13 and `uv`.AI advertising agents that automates ad campaigns across Google Ads, Meta Ads, LinkedIn Ads, and TikTok Ads. Creates campaigns, reads live performance data, researches keywords with real CPC data, optimizes budgets, and manages ads through natural language via the Adspirer MCP server. 103 tools across 4 ad platforms.
Self-orchestrating multi-agent development workflows.
Complete guide for creating and deploying browser automation functions
Comprehensive guide for building AI workflows, agents