RAG Isn’t Enough. Context Engineering is how real AI gets built
Context SpaceWhile most of the world still fine-tunes prompts and tweaks RAG pipelines, the bleeding edge is focused on building context-aware systems with memory, adaptability, and purpose.
Karpathy said it best:
“Prompt engineering is writing a sentence. Context engineering is writing the screenplay.”
LangChain’s Harrison Chase echoed:
“Most AI agent failures aren’t model failures—they’re context failures.”
Why RAG Isn’t Enough
- Long context ≠ good context
- Irrelevant data = hallucinations
- Flat document retrieval = no memory, no reasoning
IEEE and arXiv research confirms it: RAG systems plateau without context awareness, long-term memory, and semantic reasoning.
Context Space: The Ultimate Context Engineering Infrastructure
We built Context Space to solve exactly this.
A unified framework for context-native AI, starting from Model Context Protocol (MCP) and integrations.
As AI leaders like Andrej Karpathy recognize, context engineering is "the delicate art and science of filling the context window with just the right information for the next step." Context Space transforms this principle into production-ready infrastructure.
What we deliver today:
14+ Service Integrations: GitHub, Slack, Airtable, HubSpot, and more
Secure OAuth Flows: Much better than editing MCP config files manually
Enterprise Infrastructure: Docker, Kubernetes, monitoring, and observability
Context Engineering Foundation: Built with the future of AI agent development in mind
What we're building:
MCP Protocol Support: Native AI agent integration
Context Memory: Persistent, intelligent context across sessions
Smart Context Selection: Semantic retrieval and optimization
Context Analytics: Deep insights into context usage and effectiveness
Get Started Now
Build context-aware workflows from scratch—using our open, extendable framework.
Context Space provides robust third-party service integrations today, with advanced context engineering features on our roadmap. See Current Capabilities vs Roadmap for details.
The Context Engineering Revolution Has Begun
OpenManus, ClearCoreAI, Mayo Clinic, JPMorgan, and Amazon have all proved the same thing:
Context is no longer optional. It’s infrastructure.
The winners won’t be those who prompt better—they’ll be those who engineer context at scale.
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