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Try now ↗ ENTERPRISE Research COMPANY Get API Blog / How to Use Hermes Agent with Trinity Large Thinking How to Use Hermes Agent with Trinity Large Thinking Raghav Ravishankar & Arthur Bresnu , • April 3, 2026 Learn how to set up Hermes Agent powered by Trinity-Large-Thinking. This guide covers installation, tool configuration, and launching your AI assistant. Running a high-reasoning AI assistant on your own hardware has never been more accessible. This walkthrough explains how to set up the Hermes agent and get your AI assistant powered by Trinity Large running. Hermes works on Linux, macOS, and Windows, similar to OpenClaw. The ideal setup is typically on a VPS or dedicated machine, but for this walkthrough we're running it locally on a Mac, and it runs smoothly. First, here's a quick look at what Trinity Large Thinking can actually do inside Hermes. You can install the Hermes agent with a single command: curl -fsSL https://raw.githubusercontent.com/NousResearch/hermes-agent/main/scripts/install.sh | bash This creates a virtual environment for you and..."},"evidence_pages":[],"related_signals":[{"id":"15aeaa90-183a-4111-ac12-71167ee53dfa","url":"https://onlylabs.fyi/signals/15aeaa90-183a-4111-ac12-71167ee53dfa","source_url":"https://www.arcee.ai/blog/distilling-kimi-delta-attention-into-afm-4-5b-and-the-tool-we-used-to-do-it","title":"Distilling Kimi Delta Attention Into Afm 4 5b And The Tool We Used To Do It","context":null,"kind":{"key":"post_published","label":"Writing"},"org":{"slug":"arcee","name":"Arcee AI","category":"neolab"},"occurred_at":"2025-12-15T00:00:00.000Z","first_seen_at":"2026-06-26T20:26:30.835475+00:00","date_source":"page.visible_date"},{"id":"10f8de37-74f2-4642-b3ca-e9e9e14942bd","url":"https://onlylabs.fyi/signals/10f8de37-74f2-4642-b3ca-e9e9e14942bd","source_url":"https://www.arcee.ai/blog/extending-afm-4-5b-to-64k-context-length","title":"Extending Afm 4 5b To 64k Context Length","context":null,"kind":{"key":"post_published","label":"Writing"},"org":{"slug":"arcee","name":"Arcee AI","category":"neolab"},"occurred_at":"2025-06-23T00:00:00.000Z","first_seen_at":"2026-06-26T20:26:30.835475+00:00","date_source":"page.visible_date"},{"id":"ed741bba-d676-4f60-b0ae-a24f03d7d99c","url":"https://onlylabs.fyi/signals/ed741bba-d676-4f60-b0ae-a24f03d7d99c","source_url":"https://www.arcee.ai/blog/how-arcee-ai-helped-madeline-co-build-a-world-class-reasoning-model-from-first-principles","title":"How Arcee Ai Helped Madeline Co Build A World Class Reasoning Model From First Principles","context":null,"kind":{"key":"post_published","label":"Writing"},"org":{"slug":"arcee","name":"Arcee AI","category":"neolab"},"occurred_at":"2025-06-06T00:00:00.000Z","first_seen_at":"2026-06-26T20:26:30.835475+00:00","date_source":"page.visible_date"},{"id":"23a84876-b967-4d7b-bf9d-23e74475c117","url":"https://onlylabs.fyi/signals/23a84876-b967-4d7b-bf9d-23e74475c117","source_url":"https://www.arcee.ai/blog/enriching-inventory-data-with-arcee-conductor","title":"Enriching Inventory Data With Arcee Conductor","context":null,"kind":{"key":"post_published","label":"Writing"},"org":{"slug":"arcee","name":"Arcee AI","category":"neolab"},"occurred_at":"2025-05-09T00:00:00.000Z","first_seen_at":"2026-06-26T20:26:30.835475+00:00","date_source":"page.visible_date"},{"id":"e9dcbabc-7329-4c72-8012-3532a62f5c8b","url":"https://onlylabs.fyi/signals/e9dcbabc-7329-4c72-8012-3532a62f5c8b","source_url":"https://www.arcee.ai/blog/how-do-i-prep-my-data-to-train-an-llm-2","title":"How Do I Prep My Data To Train An Llm 2","context":null,"kind":{"key":"post_published","label":"Writing"},"org":{"slug":"arcee","name":"Arcee AI","category":"neolab"},"occurred_at":"2024-07-09T00:00:00.000Z","first_seen_at":"2026-06-26T20:26:30.835475+00:00","date_source":"page.visible_date"},{"id":"3d9ca054-0d41-4c3d-91b0-27e95059f5bf","url":"https://onlylabs.fyi/signals/3d9ca054-0d41-4c3d-91b0-27e95059f5bf","source_url":"https://www.arcee.ai/blog/case-study-innovating-domain-adaptation-through-continual-pre-training-and-model-merging","title":"Case Study Innovating Domain Adaptation Through Continual Pre Training And Model Merging","context":null,"kind":{"key":"post_published","label":"Writing"},"org":{"slug":"arcee","name":"Arcee AI","category":"neolab"},"occurred_at":"2024-03-19T00:00:00.000Z","first_seen_at":"2026-06-26T20:26:30.835475+00:00","date_source":"page.visible_date"}]}