I design the memory layer, execution harness, and protocol bridges that let autonomous agents run reliably in production — not demo chatbots that forget everything after one session.
"An agent is only as powerful as its execution harness and its memory layer."
🤖 cc10xRouter-owned harness for Claude Code. Multi-agent routing, plan review, failure-stop gates, and durable session memory.
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MongoDB-native AI gateway and memory engine. Episodic memory, vector search, knowledge graphs, event-sourcing.
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🧠 MemongoPersistent memory infrastructure for long-running autonomous agents. Built for agents that need to remember across sessions.
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Production hybrid retrieval: BM25 + semantic embeddings + cross-encoder reranking.
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Production WhatsApp + LLM automation at scale.
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Autonomous agents with persistent, queryable memory layers.
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| Package | What it does |
|---|---|
@romiluz/clawmongo |
MongoDB-backed episodic memory gateway |
@romiluz13/memory-mcp |
Persistent memory MCP server |
@romiluz13/EmbeDocs-MCP |
Document embedding pipeline via MCP |
Focus areas: Model Context Protocol · Agent harnesses · Memory engineering · Hybrid RAG · MongoDB vector search