Configure a local AI lab and build a knowledge graph by chat
Users had Hermes Agent set up a local AI stack (liteLLM, Postgres, Prometheus, Grafana) and install Gbrain as an MCP server to build a personal knowledge graph.
Done withHermes Agent
- What they did
- Per this overview, Ivan Fioravanti showed Hermes Agent setting up a local AI lab (liteLLM, Postgres, Prometheus, Grafana) through conversation. Separately, Alvaro Cintas had Hermes install Gbrain, an open-source project from Garry Tan, add it as an MCP server, and query it for entity-aware recall as a personal knowledge graph.
- How it went
- The source names both setups as working demos. It cites Gbrain's own benchmark of 31 points more precise than plain vector search. It gives no setup time, costs or failures for either one.
- Worth knowing
- The source only briefly describes these examples, so check the original posts by Fioravanti and Cintas for the actual steps. Hermes needs at least a 64K-token context.
Try it yourself with Hermes Agent
Set up a local AI stack on my machine with [liteLLM, Postgres, Prometheus, Grafana, or tools you choose], then install [Gbrain or another MCP knowledge-graph server] so I can build a personal knowledge graph from [my notes folder]. Explain each install step before you run it and ask me before deleting or overwriting anything. Finish by showing that each service is running and giving me a test query that works.
Source: kie.ai · Undated
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