Erik Scott is a founder and senior software engineer with 11 years of experience building full-stack systems and developer-focused infrastructure from Silicon Valley. He founded ContextStream to solve a practical pain he encountered: AI assistants lose project memory across sessions, so he’s building a source-backed context graph that delivers persistent project memory to agents, IDEs, and workflows. His hands-on role spans product strategy, Rust/Go/TypeScript full-stack engineering, vector search and graph retrieval, ML/LLM orchestration, and MCP/server architecture. Prior to founding ContextStream he spent nearly eight years as a principal and senior engineer delivering scalable platforms and products across health tech and enterprise domains. He combines a product-minded builder’s instinct with deep implementation experience, shipping developer tools that make AI assistants context-aware rather than session-bound. Based in California with a background in Graphic Information Technology from Arizona State, he’s focused on turning recurring team-level workflow friction into reusable infrastructure.
11 years of coding experience
19 years of employment as a software developer
BS, Graphic Information Technology, BS, Graphic Information Technology at Arizona State University
Persistent memory and cross-session learning for AI coding assistants. Cloud-based context management via MCP.
Contributions:21 releases, 6 PRs, 199 pushes in 6 months
aicloud-computingpersistent-memoryai-memoryclaude
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