Hermes Workspace
Private agentic workspace connecting local models, tools, memory, and multi-agent workflows.
Project overview
The project
Hermes Workspace is a private agentic environment designed to support long-running research, development, documentation, and systems work.
The environment combines Hermes with local language models served through llama.cpp, structured memory, coding tools, terminal access, research capabilities, Discord interaction, and multi-agent orchestration.
It runs inside a compartmentalized Qubes OS setup designed to separate sensitive work, development environments, local AI infrastructure, and external connectivity.
The project continues to evolve as a practical environment for testing how autonomous agents, local models, structured context, and human oversight can work together.
Project scope
Key details
A concise view of the system, experience, or engagement.
- 01
Hermes as the primary agentic environment
- 02
Local models through llama.cpp
- 03
Structured memory
- 04
Tool-enabled agents
- 05
Multi-agent orchestration
- 06
Terminal and research workflows
- 07
Discord-based interaction
- 08
Qubes OS isolation
- 09
Human-supervised autonomous workflows
Project outcome
What it created
A working personal AI environment that supports research, coding, planning, documentation, and iterative technical work while preserving control over tools, models, and data.