Title here
Summary here
Value Proposition
Agentic innovation meets production-grade engineering
Fred is both:
- An innovation lab — to help developers rapidly explore agentic patterns, domain-specific logic, and custom tools.
- A production-ready platform — already integrated with real enterprise constraints: auth, security, document lifecycle, and deployment best practices.
Why it’s different
Fred and knowledge-flow are more than just a wrapper around an LLM or a UI for chatting. They’re an end-to-end framework for building intelligent, grounded, and extensible agents — at scale.
Full agentic backend
Fred uses LangGraph to model complex workflows across multiple agents:
- Delegation to domain-specific agents (
Dominic,Theo, etc.) - Streaming responses and tool integration
- WebSocket + REST APIs for real-time interactivity
Document-aware reasoning
The knowledge-flow service is responsible for ingestion, parsing, vectorization, and retrieval:
- Clean separation between agent logic and document logic
- Structured and unstructured data support (PDFs, SQL, Markdown, etc.)
- Full document lifecycle support — with UID-based access, versioning, preview, and download
Modular, composable, and decoupled
Fred and knowledge-flow communicate via clean APIs and support MCP (Multi-Component Protocol) to connect to:
- External toolchains (like a K8s analyzer)
- Custom vector databases
- Other agents or services
You can plug in new components — or replace existing ones — without rewriting the entire system.
Built for real deployment
Fred is production-minded:
- Authentication and access control layers
- Configurable environments (on-prem or cloud)
- Kubernetes-ready deployment
- Clean React UI backed by RTK Query
Compared to typical OSS agent frameworks
| Feature / Goal | Fred + knowledge-flow | OpenWebUI / Flowise / etc. |
|---|---|---|
| Multi-agent orchestration | ✅ LangGraph workflows | ❌ Often single-agent logic |
| Secure document lifecycle | ✅ Full content + metadata mgmt | ❌ Basic file upload only |
| Enterprise integration | ✅ API-first, deployable stack | ❌ UI-focused, demo-oriented |
| Modular components (MCP) | ✅ Plug in custom tools/agents | ❌ Tooling often hardcoded |
| Real-time streaming & UI | ✅ WebSocket + RTK Query | ⚠️ Often polling or static |
| Co-innovation and governance | ✅ Designed for partnerships | ❌ Lacks clear extension model |
Open Source by Intent
Fred is open source not to reinvent frameworks, but to:
- Enable co-innovation with partners and contributors
- Make enterprise-grade agentic development accessible
- Provide a foundation that bridges open tooling with secure, extensible infrastructure
Summary
Fred and knowledge-flow aren’t just another chatbot wrapper.
They are a foundation for building intelligent, secure, and domain-aware LLM applications, backed by strong engineering, modular design, and a focus on real-world usability.
Whether you want to build a Kubernetes explainer, a finance agent, or a private document assistant — Fred gives you the pieces to do it right.