Autonomous Knowledge Extraction Platform powered by MiMo V2.5
VECTOR MIND is a multi-agent knowledge extraction platform that turns raw web data into structured, actionable intelligence. Powered by the MiMo V2.5 reasoning engine, it orchestrates four specialized AI agents in a coordinated pipeline — from crawling to publishing.
| Agent | Role | Description |
|---|---|---|
| 🕷️ Crawler | Discovery | Autonomously traverses the web, following semantic links and sitemap structures to discover and queue relevant content sources |
| ⚙️ Parser | Extraction | Deconstructs raw HTML, PDFs, and structured data into clean semantic units, stripping noise and preserving meaningful content relationships |
| 🧠 Reasoner | Intelligence | Powered by MiMo V2.5 — applies multi-step reasoning to synthesize facts, resolve contradictions, and build knowledge graphs |
| 📡 Publisher | Delivery | Formats and delivers structured intelligence via REST APIs, webhooks, vector stores, or real-time streaming endpoints |
[Web Sources] → 🕷️ Crawler → ⚙️ Parser → 🧠 Reasoner → 📡 Publisher → [Knowledge Output]
# Initialize the pipeline with MiMo V2.5
vector-mind init --engine mimo-v2.5 --agents all
# Run extraction on a target
vector-mind run --target "https://example.com" --depth 3
# Export to vector store
vector-mind export --format jsonl --output ./knowledge-base- Engine: MiMo V2.5 (multi-step reasoning)
- Frontend: Pure HTML/CSS/JS — zero external dependencies
- Theme: Dark purple / cyan
- Agents: 4 autonomous pipeline agents
- Output formats: JSON-LD, JSONL, Markdown, REST, Webhooks
- Zero-dependency frontend — runs anywhere
- Real-time agent status monitoring
- Semantic link traversal with configurable depth
- Knowledge graph construction via MiMo V2.5 reasoning
- Flexible output: vector stores, APIs, streaming
- 99.9% uptime SLA
vector-mind/
├── index.html # Platform UI (pure HTML/CSS/JS)
├── README.md # This file
MIT © 2026 VECTOR MIND