🚀 OG iOS Developer since day one. Today, I apply that experience to intelligent systems: complex AI workflows, autonomous agents, graph-based retrieval, and scalable software architectures.
I build local-first tools for AI agents, adaptive knowledge systems, and human–AI collaboration:
- hermes-mission-control: A local-first operations dashboard for Hermes Agent. It provides live telemetry, system health, sessions, agents, model usage, tools, skills, logs, and quick actions through a responsive React/Vite interface backed by a lightweight Python sidecar.
- bdh-graph-harness: A graph-based retrieval system for Obsidian vaults exploring Hebbian synaptic plasticity. Experimenting with associative memory models to push RAG beyond standard vector embeddings.
- bdh-hermes-bridge: A bidirectional Hermes Agent plugin connecting agent sessions to BDH’s knowledge graph, with vault routing and session-to-knowledge workflows.
- mc-curate-plugin: A Mission Control plugin for reviewing and approving nightly brain candidates, keeping human oversight in the knowledge consolidation workflow.
- Core Engineering: Swift, Python, JavaScript, TrypeScript, Ruby
- AI & Local LLMs: MLX, Ollama, LangChain, Llama models, Qwen
- Data & Retrieval: ChromaDB, Graph Databases, Advanced RAG
- Systems: Agentic Workflows (Hermes), Distributed Architectures, Bitcoin Lightning
- Agentic Workflows: Orchestrating autonomous tasks with Hermes models and local LLMs (Gemma4, Qwen, and more).
- Advanced RAG: Bridging graph databases with associative memory paradigms.
- Bitcoin & Lightning: The intersection of decentralized money and distributed tech.
Discord: albidev