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Welcome to Qoris Documentation

MCP Tools

Integrate Qoris memory and knowledge capabilities into your AI applications via Model Context Protocol

Knox

Govern AI workers and developer agents with action checks, policy enforcement, hooks, and audit logs

Backend API

Build powerful applications using Qoris REST APIs for team collaboration and project management

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What is Qoris?

Qoris is a platform for building governed AI agents and AI workers. It combines persistent memory, project knowledge, MCP tools, and Knox safety controls so agents can do useful work without becoming an unmanaged automation risk. Whether you’re building chatbots, assistants, developer agents, or automated workflows, Qoris provides the context layer and governance layer needed to create intelligent applications that can remember, retrieve, act, and be audited.

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Key Features

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🧠 Persistent Memory

Store and retrieve information across conversations with our memory management system. Perfect for remembering user preferences, decisions, and important context.

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📚 Knowledge Base

Upload documents, webpages, and knowledge items. Search across all your knowledge with semantic search powered by advanced AI.

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🔌 MCP Integration

Connect Qoris to any MCP-compatible AI application. Our 7 MCP tools provide seamless integration for memory and knowledge operations.

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🛡️ Knox Governance

Check agent actions before execution, protect sensitive workflows, inspect MCP and CLI usage, and keep an audit trail of what agents attempted.

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👥 Team Collaboration

Invite team members, manage permissions, and collaborate on projects with granular access control.

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Quick Start

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For Developers Using MCP

  1. Get an API Key: Generate an API key in your Qoris project settings
  2. Configure MCP: Add Qoris as an MCP connection in your AI application
  3. Start Building: Use our MCP tools to integrate memory and knowledge
  4. Add Guardrails: Review Knox when your agents need to execute commands, call tools, or operate autonomously
Use our 4 memory tools to persist information across conversations:
  • save_memory: Store important information
  • get_memories: Retrieve all workspace memories
  • update_memory: Update existing memories
  • delete_memory: Remove memories when needed
Search, list, and read your project’s knowledge base:
  • search_knowledge: Query documents, webpages, and knowledge items with AI-powered synthesis
  • list_knowledge_documents: List all documents and webpages in the knowledge base
  • get_document_full_content: Retrieve the full text of a document by name

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For Backend Developers

Build applications using our REST APIs:
  • Team Management API: Invite team members, manage permissions, and control access
  • More APIs coming soon…

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Documentation Structure

MCP Tools

Complete reference for all 7 MCP tools including parameters, examples, error handling, and best practices.

Knox

Safety and governance documentation for Qoris runtime policy, Claude Code plugin hooks, CLI checks, audit, and the Developer Safety Pack.

Backend API

REST API documentation with endpoints, authentication, request/response formats, and examples.

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Need Help?

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What’s Next?

Authentication

API Key and OAuth 2.0 — choose the right auth method for your use case

Explore MCP Tools

Learn how to integrate Qoris into your AI applications

Explore Knox

Learn how Qoris governs agent actions before execution

Quick Start

Get up and running in minutes

View API Reference

Start building with our REST APIs
Ready to get started? Head over to our MCP Tools overview, review Knox, or check out the Backend API documentation.