Contextual Intelligence Query Engine for Distributed AI Knowledge
kcp-protocol/queryspace
A Context-Driven Query Engine that leverages the Knowledge Context Protocol (KCP) to orchestrate interactions, governance, and adaptation of knowledge across decentralized, AI-powered agents.
Start your journey: https://XMIART.github.io
QuerySpace transcends traditional knowledge bases by fusing the Knowledge Context Protocol (KCP) with intelligent query orchestration, enabling distributed AI ecosystems to share, refine, and govern context-rich knowledge streams—securely and transparently.
Envision a terrain where every AI agent, be it OpenAI, Claude, or custom LLMs, coalesces through nuanced contexts, robust governance, and adaptive engine logic. Knowledge here isn’t just static—it pulses, adapts, and evolves as it’s exchanged and queried.
QuerySpace champions universal adaptability. Here’s where your favorite OS fits in:
| 🖥️ System | Supported | Experience Rating (⭐) |
|---|---|---|
| Windows | ✅ | ⭐⭐⭐⭐⭐ |
| macOS | ✅ | ⭐⭐⭐⭐⭐ |
| Linux | ✅ | ⭐⭐⭐⭐⭐ |
| Android | ✅ | ⭐⭐⭐⭐ |
| iOS | ✅ | ⭐⭐⭐⭐ |
| BSD | ✅ | ⭐⭐⭐⭐ |
| Docker | ✅ | ⭐⭐⭐⭐⭐ |
- Context-Driven Query Routing: Let queries flow through context-aware governance layers.
- OpenAI & Claude API Fusion: Unified orchestration across both top-tier AI providers.
- Responsive, Modular UI: Sleek interfaces, fluid interactions on every device and OS.
- Multilingual Support: Interact in over 30 languages—knowledge has no borders.
- Adaptive Knowledge Graphs: Visualize knowledge with contextual threads; connections built on-the-fly.
- Real-Time Collaboration: Multiple agents and humans co-edit, refine, and debate knowledge.
- Extensible Plugin System: Connect custom LLMs, databases, or even IoT feeds into the query mesh.
- 24/7 Intelligent Support: AI-first help tailored for humans and co-pilots, always available.
- Fine-Grained Access Control: Role-based, context-enforced governance for every knowledge artifact.
- Audit Trails & Provenance: Trace the lifecycle and authorship of every knowledge node.
- Knowledge Context Protocol (KCP) integration for robust knowledge governance
- Decentralized, context-driven query orchestration
- Interoperability with industry AIs: OpenAI, Claude, and custom models
- Advanced knowledge visualization and real-time collaboration
- Multilingual, responsive, and extensible knowledge management layer
- AI customer support and dynamic governance for knowledge flows
- Open source, adaptable, and license-flexible (MIT License)
Here is how a typical agent profile is configured for context-rich governance and flexible orchestration:
{ "agent_id": "queryspace-llm-01", "provider": "openai", "api_key": "YOUR-OPENAI-KEY", "contexts": [ { "name": "Research", "governance": "peer_consensus", "permissions": ["read", "write", "advise"], "external_feeds": ["arxiv.org", "semantic-scholar.org"] }, { "name": "Support", "governance": "admin_oversight", "permissions": ["read", "respond"], "fallback_models": ["claude-v3", "custom-search"] } ], "localization": { "languages": ["en", "fr", "zh", "de"], "default": "en" }, "ui": { "theme": "solarized-dark", "responsive": true } }
Shape knowledge with just a swift command:
$ queryspace query
--context "Research"
--input "What are the most recent advancements in reinforcement learning?"
--provider "openai"
--language "en"
--visualize true
Or, for cross-provider orchestration:
$ queryspace query
--context "Legal"
--input "Summarize GDPR compliance for SaaS platforms."
--provider "claude"
--fallback "openai"
--language "de"
QuerySpace interprets, routes, and synthesizes responses from both OpenAI and Claude APIs, delivering seamless knowledge augmentation, fallback reasoning, and prompt interoperability.
OpenAI integration: Embeds context directly into prompt chains, adapts to GPT-3, GPT-4, and future OpenAI models.
Claude API support: Native concurrency, persistent context threads, safety by design.
Fallback & multi-agent elision: Requests can traverse multiple APIs for optimal outcomes.
- Switch languages instantly; every context and profile preserves localization
- Automatic right-to-left layout for Arabic, Hebrew, and Farsi
- Mobile-first design with seamless scaling and accessibility
- Light/dark theming, keyboard navigation, and high-contrast modes
Dive into the dance of knowledge orchestration:
graph LR
Q[User Query] -->|Context Selection| C{KCP Context Engine}
C -->|Route| OA[OpenAI Agent]
C -->|Route| CL[Claude Agent]
C -->|Fallback| CS[Custom LLM]
OA -->|Enrich| KG[Knowledge Graph]
CL -->|Synthesize| KG
CS -->|Enrich| KG
KG -->|Visualize| UI[Responsive UI]
UI -->|Feedback| C
KG -->|Audit| AT[Audit Trails]
- 🌠 Contextual query routing and orchestration (powered by KCP)
- ⚡ Lightning responses from OpenAI/Claude/custom LLMs
- 🌐 Language/barrier-free operation
- 🖌️ Real-time collaborative editing and consensus mechanisms
- 🔍 Visual knowledge threads and provenance tracking
- 🤝 Plugin-friendly design for endless extensibility
- 🎨 Rich, accessible, and responsive interfaces
- 🛡️ Context-enforced access and audit control
- 🕵️ Transparent, ethical, and adaptable governance
This repository is licensed under the MIT License.
Read the full text: MIT LICENSE
(c) 2026 QuerySpace contributors.
QuerySpace is a research and development platform for contextual query orchestration over distributed knowledge fabrics. It provides tools and connectors for AI governance, supports responsible and transparent AI integration, and encourages customization as per your contextual or regulatory requirements.
QuerySpace does not provide legal, medical, or regulatory advice; users must verify critical outputs from AI agents independently.
Always protect confidential data; integrations are subject to the terms of used API providers (OpenAI, Claude, etc.).
Start building your knowledge network in context-rich harmony!