by pauloberezini · Agent Tool · ★ 20
🏛️ Hermes: Light Hierarchical AI Agent Network with Visual Canvas Hermes is a low-code, self-hosted framework for building managed networks of AI agents. Inspired by JARVIS, it combines a beautiful React visual canvas (drag-and-drop node graph) with an autonomous planning backend. Unlike deterministic workflow builders (like n8n), Hermes resolves complex user requests on the fly using a dynamic LLM planning loop. Unlike chaotic multi-agent groups (like AutoGen), Hermes uses a strict Directed Acyclic Graph (DAG) hierarchy to keep agents coordinated and prevent infinite feedback loops.
| Stars | 20 |
| Forks | 1 |
| Language | Python |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 62.6293450712476/100 |
| Last Updated | 2026-07-08 |
| Created | 2026-07-03 |
| Platforms | python |
| Est. Tokens | ~15k |
These tools work well together with hermes-synapse for enhanced workflows:
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hermes-synapse is Visual multi-agent orchestrator with a drag-and-drop DAG canvas, dynamic LLM planning loops, permission-based tool execution, and local Qdrant RAG.. It is categorized as a Agent Tool with 20 GitHub stars.
hermes-synapse is primarily written in Python.
You can find installation instructions and usage details in the hermes-synapse GitHub repository at github.com/pauloberezini/hermes-synapse. The project has 20 stars and 1 forks, indicating an active community.
hermes-synapse is released under the MIT license, making it free to use and modify according to the license terms.