Vectora

The Problem Vectora Solves

The Solution: Sub-Agent Architecture

Vectora is exposed exclusively via MCP. There is no chat CLI, TUI, or direct conversational interface. It operates silently as a governance and context layer:

    graph LR
    A[Principal Agent] -->|MCP Tool Call| B[Harness Runtime]
    B --> C{Guardian + Native Validation}
    C -->| Approved| D[Context Engine]
    D --> E[Embed via Voyage 4]
    D --> F[Rerank via Voyage 2.5]
    E --> G[MongoDB Atlas Vector Search]
    F --> G
    G --> H[Composed Context + Metrics]
    H -->|MCP Response| A
  

Core Components

Curated Stack & Infrastructure

Vectora is not provider-agnostic. We operate with models rigorously calibrated to guarantee metric consistency, parsing stability, and predictable costs:

Security, Governance & BYOK

Security in Vectora is implemented at the application layer, not delegated to the database:

Plans & Retention Policy

Vectora operates with a Digital Sovereignty First model, offering BYOK (Bring Your Own Key) for total control or Managed (Plus) for convenience:

Operation Flow (MCP-First)

1. Detection: Principal Agent identifies need for deep context and triggers context_search via MCP.
2. Interception: Harness Runtime captures call, validates namespace, applies Guardian.
3. Decision: Context Engine chooses scope (filesystem, vector, or hybrid) and applies AST parsing.
4. Embed + Rerank: Query is embedded via voyage-4, raw results are refined by voyage-rerank-2.5.
5. Search & Compaction: MongoDB Atlas returns top-N with compaction (head/tail + pointers) to avoid context rot.
6. Structured Response: Validated context + metrics are returned to the principal agent, which generates the final user response.

Where to Start?

Phrase to remember: “Vectora doesn’t respond to the user. It delivers governed context to your agent. Managed backend, API under your key, security in the application, your data always yours.”

Navigation Guide

• Getting Started — Installation, BYOK setup, and MCP integration.
• Core Concepts — Understand Sub-Agents, Context Engine, and Reranking.
• Security & Governance — Details on Guardian, Trust Folder, and RBAC.
• Authentication — SSO flows, Unified Identity, and API Keys.
• Models & Providers — Curated stack with Gemini 3 and Voyage AI.
• Backend — MongoDB Atlas.
• Integrations — How to use with Claude Code, Gemini CLI, and Cursor.
• Plans & Pricing — Feature comparison and retention policy.
• Technical Reference — MCP tool schema and Config YAML.
• Contributing — Guidelines, code standards, and roadmap.
• FAQ — Troubleshooting and common questions.
• Protocols — MCP Protocol specifications in Vectora.

External Linking

Part of the Vectora ecosystem · Open Source (MIT) · Contributors