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Report abuseI 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. Claude Code Harness Orchestration |
MongoDB-native AI gateway and memory engine. Episodic memory, vector search, knowledge graphs, event-sourcing. MongoDB Memory Vector Search |
🧠 MemongoPersistent memory infrastructure for long-running autonomous agents. Built for agents that need to remember across sessions. Memory Engineering Agents MongoDB |
Production hybrid retrieval: BM25 + semantic embeddings + cross-encoder reranking. RAG Hybrid Search Python |
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Production WhatsApp + LLM automation at scale. WhatsApp LLM Automation |
Autonomous agents with persistent, queryable memory layers. Agents Memory LangChain |
| 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
Forked from openclaw/openclaw
ClawMongo — MongoDB-native AI gateway. Fork of OpenClaw with MongoDB as the only canonical memory backend.
TypeScript 31
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