Author builds local travel planner with Hermes Agent and Ollama
A software engineer created a multi-agent travel research system using open-source tools: Hermes Agent (version 0.21.1) and Ollama with the gemma4:31b model. The system, called Wanderlist, runs entirely on local hardware, coordinating four agents—destination research, accommodation suggestions, flight links, and memory—to plan trips without cloud dependencies or subscription costs. The project…
Key points
- Hermes Agent 0.21.1 and Ollama with gemma4:31b model power a local travel-planning system
- Four agents research destinations, stays, flights, and store preferences in a SQLite database
- Flight links are generated via a custom Python tool, avoiding API keys or subscription costs
The coordinator agent delegates tasks to specialists, each with defined roles: one searches for current entry requirements and attractions, another finds budget-friendly neighborhoods, and a third generates real Google Flights search links. The system avoids inventing prices or outdated rules by explicitly instructing agents to fetch live data. Memory persistence lets the system retain user preferences across sessions. The author notes the project’s practicality for research-heavy tasks, emphasizing privacy and cost savings over raw performance.
What I Did with Hermes Agent, Ollama & Local Models
KDnuggets · 5 November 2026
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