Persistent bots with workspace-specific setup
Each bot can have its own name, role, model, memory, and skills, which lets teams shape bots around a specific job instead of a one-off prompt.
DeployHermes is managed hosting for persistent Hermes AI bots, with private runtimes, mission flows and integrations for memory, tools and cross-time work.
DeployHermes is managed hosting for Hermes AI bots. It provides a private runtime for each workspace so users can hire persistent bots with a defined role, model, memory, and skills instead of running the infrastructure themselves.
The product is aimed at people who want bots that can work across time: you assign a mission, the bot uses the workspace’s tools and context, and it reports back with decision tickets, receipts, and an audit trail. The site positions this as a hosted alternative to self-hosting Hermes on your own infrastructure.
Each bot can have its own name, role, model, memory, and skills, which lets teams shape bots around a specific job instead of a one-off prompt.
DeployHermes runs bots in a private runtime per workspace, separating process, network, identity, credentials, and data from other tenants.
The site describes missions and decision tickets, where bots report back and judgment calls stop until a user responds.
Workspace data includes memory, skills, docs, agent email, Telegram steering, and integrations, giving bots context and ways to receive instructions or output results.
The product supports integrations with GitHub, Slack, Vercel, Google Search Console, Sentry, DataFast, webhooks, and custom MCP servers, with Telegram and agent email as direct channels.
The site says each workspace has a flat platform price, while model usage and certain usage credits are billed separately; credits cover live third-party research and API-key tool calls.
Founders can assign recurring operational work, research, or triage tasks to a persistent bot that keeps context and reports back instead of starting from scratch each time.
Teams can use the workspace runtime to share a bot across a channel or web workflow, with mission updates and approvals handled in a structured way.
People looking for routine support can use persistent bots for reminders, summaries, check-ins, and low-friction follow-through across time.
Developers can connect GitHub, Slack, Vercel, webhooks, or a custom MCP server to route bot output into their existing stack.
Users evaluating self-hosting can use the managed runtime instead of running Hermes on their own VPS or local infrastructure, while still reviewing the guides and comparisons provided on the site.
The public site says a workspace includes a private runtime, the bots you hire on it, and the records they leave behind, including missions, decision tickets, memory, skills, docs, agent email, Telegram steering, and integrations.
Yes. The site says you bring a supported AI subscription or API credentials, and your bots run against them. DeployHermes says it does not mark up model tokens, so you pay your provider directly.
The site says bots share the workspace runtime and model key, so you can hire as many as the work needs without another platform fee for each bot.
DeployHermes says side-effecting tools run behind an approval policy, and anything that needs judgment stops as a decision ticket until you answer. You can also pause a mission or stand a bot down anytime.
The public docs say each workspace gets an isolated runtime with separate process, network, identity, credentials, and data. You can export a full copy and cancel anytime from Billing.
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