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@christopherlhammer11-ai

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Building local-first, production-grade AI agents and developer tools. No degree, just proof.

FreeFree tier
Type
Open Source
Visit Website GitHub (40 stars)

About @christopherlhammer11-ai

Christopher L. Hammer (christopherlhammer11-ai) is an AI engineer based in the Bay Area, building local-first, production-grade AI agents and developer tools. The GitHub profile showcases a portfolio of open-source projects designed for privacy, reliability, and real-world utility, including HammerLock (privacy-first AI assistant with encrypted local vault), Craig (autonomous coding agent), Tool Use Guardian (reliability wrapper for AI tool calls with retries, timeouts, and JSON repair), RecallMax (long-term memory compression for AI agents), and Repo Intelligence (local codebase Q&A with chunking and embeddings). The repository emphasizes no-degree, proof-driven development with demo videos and clear documentation.

Key Features

Local-first AI systems that work in real-world environments
Privacy-first AI assistant with encrypted local vault (HammerLock)
Autonomous coding agent interface (Craig) that reads context, plans, edits, runs checks
Reliability wrapper for AI tool calls with retries, timeouts, JSON repair (Tool Use Guardian)
Long-term memory compression for AI agents (RecallMax)
Local codebase Q&A using chunking, embeddings, LanceDB (Repo Intelligence)
Open-source with documented code and demo videos on portfolio site

Pros & Cons

Pros
  • Privacy-first design with local encryption and no data sent to cloud
  • Open-source repositories with welcome documentation and demo videos
  • Focus on production-grade reliability with retry and validation mechanisms
  • Covers a wide range of AI use cases from coding to memory and QA
  • Real-world testing and proof-of-concept demos available on portfolio

Best For

Privacy-first AI assistant with encrypted local data and BYOK setupAutonomous software development and code editing via agent workflowsEnhancing reliability of LLM tool calls in production systemsCompressing conversation history for long-running AI agent interactionsLocal codebase question answering for developersBuilding and deploying small-business AI workflows