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Run persistent AI agents with isolated memory and human oversight

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Reviews onCapterraSourceForge
21 reviews tracked

The Bottom Line

Entry price

Paid plans only

Biggest pro

Flat pricing with no markup on model tokens; you pay your provider directly.

Biggest con

Requires your own AI model subscription or API credentials to run bots.

TL;DR - DeployHermes

  • Private, isolated runtime per workspace for persistent AI agent bots.
  • Flat platform fee; bring your own model key and pay provider directly.
  • Agents have memory, skills, mission board, and full audit trail with human-in-the-loop approval.
Pricing: Paid only
Best for: Enterprises & pros
4.4/5 across review platforms

What is DeployHermes?

Editorial review
DeployHermes provides a managed platform for running persistent AI agent bots. Each workspace gets an isolated runtime where bots operate with their own memory, skills, and mission board. Customers bring their own AI model credentials, so they retain control over inference costs and provider choice. The platform is designed around transparency: every bot action is recorded in an audit trail, and tasks requiring judgment are surfaced as decision tickets for human approval. Pricing is a flat fee per month per workspace, covering the runtime, bot management, memory, skills, integrations, and audit logs. Model usage is billed directly by the customer's provider, and additional third-party research requests are covered by usage credits (a number included per month). The platform supports integrations with GitHub, Slack, Vercel, Google Search Console, Sentry, DataFast, webhooks, and custom MCP servers, with more in development. DeployHermes is suited for teams that want supervised, persistent agent work with clear governance. It is not a replacement for human oversight on high-stakes decisions. Workspace membership controls access, and API keys can be scoped to specific capabilities. Customers can export their data at any time and cancel without penalty.

Pros & Cons

Pros

  • Flat pricing with no markup on model tokens; you pay your provider directly.
  • Isolated runtime ensures data separation and security between tenants.
  • Full audit trail and human-in-the-loop approval for responsible agent governance.

Cons

  • Requires your own AI model subscription or API credentials to run bots.
  • Some integrations (Discord, Notion, Gmail, Linear) are still in progress.

Ratings Across the Web

4.4(21 reviews)

DeployHermes holds an aggregate rating of 4.4 out of 5 from 21 reviews across Capterra and SourceForge, last checked August 26, 2026.

Ratings aggregated from independent review platforms. Learn more

Key Features

Private runtime per workspace with isolated process, network, and data.Mission board and decision tickets for human oversight of agent actions.Workspace memory and skills that persist across missions.Integrations with GitHub, Slack, Vercel, Google Search Console, Sentry, DataFast, webhooks, and MCP servers.Telegram steering and agent email for direct communication with bots.Audit trail and receipts for all completed work.Usage credits for third-party research (web searches, keyword reports, backlink profiles, API-key tool calls).Approval policies for side-effecting tools to prevent unintended actions.

Pricing Plans

Pricing checked Aug 27, 2026

Workspace

$99 / mo

  • Private runtime per workspace
  • Your own model key
  • Steer it from Telegram
  • Missions and decision tickets
  • Workspace memory and skills
  • Integrations, receipts, and audit trail
  • 1,000 included usage credits per month

Is DeployHermes worth the price?

65/100

At $99/mo for a single workspace with 1,000 credits, DeployHermes is fairly priced for teams needing a managed, persistent AI agent with audit trails, but it is expensive for solo tinkerers or low-volume use.

The lack of a free tier or trial raises the entry barrier, and the single tier offers no flexibility for scaling. Best for small teams or power users who need private runtime and compliance-ready logging.

Hidden Costs & Gotchas

No free trial to test before paying

Only 1,000 credits included per month

No annual billing discount available

Must bring your own model key

No per-seat or multi-workspace pricing

How DeployHermes Compares to Competitors

DeployHermes is pricier than self-hosting open-source agent frameworks but cheaper than most proprietary managed agent platforms with similar audit and privacy features. It competes with tools like Botpress or LangGraph Cloud, but its single-tier, credit-based model offers less flexibility than usage-based or per-seat alternatives.

How DeployHermes's pricing compares

At $99/mo, DeployHermes is the most premium of its 3 direct competitors.

DeployHermes
$99

Entry paid plan, monthly. Pricing checked Aug 27, 2026.

Reviews

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4.4/5

Across 21 verified user reviews on Capterra, SourceForge

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DeployHermes FAQ

How does DeployHermes handle human oversight for agent decisions?

DeployHermes surfaces tasks requiring judgment as decision tickets that require human approval before the bot proceeds. Every bot action is also recorded in an audit trail, providing full transparency into agent behavior.

Which teams benefit most from using DeployHermes?

Teams that want supervised, persistent agent work with clear governance benefit most from DeployHermes. It is designed for organizations that need isolated runtimes, audit trails, and human-in-the-loop approval for responsible agent management.

How does DeployHermes compare to CrewAI for running persistent agents?

Unlike CrewAI, DeployHermes provides a managed platform with isolated runtimes per workspace, built-in audit trails, and human-in-the-loop approval. DeployHermes also requires customers to bring their own AI model credentials, so they retain control over inference costs and provider choice.

What are the main limitations or trade-offs of using DeployHermes?

DeployHermes requires customers to have their own AI model subscription or API credentials to run bots, so there is no bundled model access. Additionally, some integrations such as Discord, Notion, Gmail, and Linear are still in development and not yet available.

How is DeployHermes priced for teams?

DeployHermes charges a flat fee per month per workspace, covering the runtime, bot management, memory, skills, integrations, and audit logs. Model usage is billed directly by the customer's provider, and additional third-party research requests are covered by usage credits included each month.

Can DeployHermes integrate with GitHub and Slack for agent workflows?

Yes, DeployHermes supports integrations with GitHub and Slack, along with Vercel, Google Search Console, Sentry, DataFast, webhooks, and custom MCP servers. More integrations are in development.

Does DeployHermes allow customers to export their data and cancel without penalty?

Yes, customers can export their data at any time and cancel their subscription without penalty. Workspace membership controls access, and API keys can be scoped to specific capabilities for added security.

Why does DeployHermes require customers to bring their own AI model credentials?

DeployHermes requires customers to bring their own AI model credentials so they retain full control over inference costs and provider choice. This approach ensures no markup on model tokens and allows teams to use their preferred AI provider.

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