Standalone runtime dashboard for chat, sessions, memory, and config.
Hermes Dashboard is a runtime-facing control surface for sessions, memory, config, and operator visibility around an AI agent environment.
Puts active runtime state in front of the operator so conversations, context, and active behavior can be inspected instead of guessed at.
Brings persistent system state and configuration into one dashboard rather than leaving them split between filesystem spelunking and manual edits.
The value is less about shiny frontend work and more about giving a runtime an explicit control plane that feels like a tool, not a debug leftover.
Hermes Dashboard is one of the stronger GitHub-signal projects not previously surfaced on the site. It reads like a real management product for agent runtime operators, which makes it important for the relaunch catalog.
Hermes is useful when a runtime needs a human control surface: something for checking session state, editing configuration, inspecting memory, and intervening before a bad run becomes a bigger problem.
Open the dashboard to inspect active chats, review stored context, adjust config values, and step in when an agent is drifting or stuck.
Use one interface to inspect or edit memory records, compare runtime state across sessions, and treat agent operations like a managed system instead of a black box.
Hermes is best explored from the repository if you want to see how it organizes sessions, memory, configuration, and operator controls into a single runtime dashboard.
If the repository clicks for you, use the related projects below to trace how the same ideas show up in adjacent tools and experiments.
Skim the catalog when you want breadth, or use pages like this one when you want a little more context before heading outward.