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
DeployHermes is managed hosting for persistent Hermes AI bots. It gives each workspace a private runtime, mission flow, and integrations so bots can work across time with their own memory and tools.
Managed hosting for persistent Hermes AI bots
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.
Core capabilities
Isolated workspace runtime
DeployHermes runs bots in a private runtime per workspace, separating process, network, identity, credentials, and data from other tenants.
Mission-based execution with approvals
The site describes missions and decision tickets, where bots report back and judgment calls stop until a user responds.
Memory, tools, and communication channels
Workspace data includes memory, skills, docs, agent email, Telegram steering, and integrations, giving bots context and ways to receive instructions or output results.
Connection options for common workflows
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.
Separated platform and usage billing
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.
Practical ways to use DeployHermes
Recurring founder operations
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.
Shared team assistant workflows
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.
Ongoing personal routines
People looking for routine support can use persistent bots for reminders, summaries, check-ins, and low-friction follow-through across time.
Tool- and integration-driven automations
Developers can connect GitHub, Slack, Vercel, webhooks, or a custom MCP server to route bot output into their existing stack.
Managed alternative to self-hosting
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.
Pros and Cons
Pros
- Private runtime per workspace with isolated process, network, identity, credentials, and data.
- Bots can be given a role, model, memory, and skills, which supports more structured setups than a single prompt.
- Missions, decision tickets, receipts, and an audit trail make bot work easier to review.
- Supports direct channels and integrations such as Telegram, agent email, GitHub, Slack, Vercel, Google Search Console, Sentry, DataFast, webhooks, and MCP servers.
- The site includes setup guides, comparisons, and troubleshooting material for getting started and diagnosing issues.
Cons
- The pricing page is not public; the homepage states a $99 monthly platform price, but details such as plan structure are not shown on a pricing page.
- Some integrations are still in progress, including Discord, Notion, Gmail, and Linear.
- Model tokens are billed by the provider, and usage credits are a separate meter for certain third-party research and API-key calls, so total cost depends on both workspace and usage.
FAQ
What do I get with a workspace?
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.
Do I need my own model key?
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.
How many bots can I hire?
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.
How does it keep bots from taking actions I did not ask for?
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.
Where does my data live, and can I leave?
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.
Quick Facts
- Category
- Managed AI agent hosting
- Product type
- Hosted runtime for Hermes AI bots
- Primary use
- Persistent bots with missions, tools, and approvals
- Platform note
- Private runtime per workspace
- Source domain
- deploy-hermes.com
- Pricing note
- Public site references a $99 monthly platform price; `/pricing` is not available as a public page
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