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jurniti Review

jurniti is a managed AI agent platform that hosts AI agents in isolated Firecracker microVMs, providing hardware isolation and allowing users to bring their own model keys (BYOK).

shipped Sep 15, 2026researchpaid
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jurniti — product screenshot

Why it matters

1Hosts AI agents in isolated Firecracker microVMs, ensuring hardware-level KVM isolation.
2Supports various AI models including Claude Code, Codex, Hermes, OpenClaw, GitHub Copilot CLI, and OpenHands.
3Offers pricing tiers starting from $21/month for always-on agents, with a pay-by-the-hour option at $0.05/hour.
4Provides an API for integration and self-hosted observability sidecars like Latitude or Langfuse.

About jurniti

Business Model
Subscription SaaS
Usage Pricing
$0.025/hour per hour
Platforms
Web, CLI
Target Audience
Developers and businesses seeking managed AI agent solutions.

Pricing Plans

Starter
$21/mo
  • • 1 vCPU
  • • 2 GiB RAM
  • • 10 GiB SSD
Pro
$41/mo
  • • 2 vCPU
  • • 6 GiB RAM
  • • 50 GiB SSD
  • • Custom subdomain
Pay by the hour
$0.05/hour
  • • Metered per second while running
  • • Prepaid credits for usage

Cost Examples

  • • Running for 24 hours: $1.20

Specs

API Available

Yes, public API

overview

What is jurniti?

jurniti is a managed AI agent hosting tool developed by jurniti that enables developers and businesses to deploy and manage AI agents in isolated Firecracker microVMs. It ensures users maintain control of their keys and infrastructure, making it ideal for deploying multiple autonomous or coding agents securely and persistently. Each agent operates within its own KVM-isolated Firecracker microVM, a technology also utilized by AWS Lambda, providing robust security and preventing issues like container escapes.

features

Key Features of jurniti

jurniti provides a suite of features designed for secure, persistent, and scalable AI agent deployment. The platform emphasizes hardware isolation and user control over credentials.

  • Real Firecracker microVM for hardware isolation (KVM boundary) for each agent.
  • Bring Your Own Key (BYOK) model, ensuring users maintain control of their model keys within their isolated VM.
  • Persistent volume for data storage, allowing agents to maintain state and long-term memory.
  • Custom subdomain per tenant for dedicated access and management.
  • API available for programmatic deployment and management of agents.
  • Observability for agent actions, tool calls, and multi-turn paths via self-hosted sidecars (e.g., Latitude, Langfuse).
  • Support for various AI models including Claude Code, Codex, Hermes, OpenClaw, GitHub Copilot CLI, and OpenHands.
  • Multimodality support for text-based interactions.

use cases

Who Should Use jurniti?

jurniti is designed for individuals and organizations that require a robust, secure, and always-on environment for their AI agents, particularly those who have encountered limitations with local execution or less isolated cloud environments. The platform caters to specific technical and operational needs.

  • Developers and businesses deploying a fleet of hundreds or thousands of AI agents for tasks like fanning out SEO briefs or building on-demand lead lists.
  • Users managing coding tasks with AI agents, requiring persistent environments for models like Claude Code or GitHub Copilot CLI.
  • Organizations running autonomous agents for continuous operations, such as 24/7 SEO analysis, market research, or sales enablement.
  • Researchers and product teams hosting various AI agents (e.g., Claude Code, Codex, OpenClaw, Hermes) in isolated microVMs for secure experimentation and deployment.
  • Teams needing multi-agent communication with persistent rooms and terminals that remain active, facilitating complex collaborative AI workflows.

how to use

How to Use jurniti

To begin using jurniti, users typically sign up for a plan, configure their AI agents, and deploy them into isolated Firecracker microVMs. The platform provides an API for integration and management.

  • 1Sign up for a jurniti account and select a suitable pricing plan (e.g., Starter, Pro, or Pay by the hour).
  • 2Configure your AI agent, specifying the desired model (e.g., Claude Code, Codex) and any necessary credentials (BYOK).
  • 3Deploy the agent into a dedicated Firecracker microVM via the jurniti platform or API.
  • 4Utilize the platform's observability features, potentially integrating self-hosted sidecars like Latitude or Langfuse, to monitor agent actions and performance.
  • 5Manage agent communication and persistence through dedicated rooms and terminals, ensuring continuous operation.

pricing

jurniti Pricing & Plans

jurniti offers a tiered pricing structure designed to accommodate various usage patterns, from always-on agents to bursty, hourly deployments. There is no free trial, but a 30-day money-back guarantee is provided on the first purchase.

  • Starter: $21/month (billed yearly), approximately $25/month flat plan for 24/7 always-on agents.
  • Pro: $41/month (billed monthly).
  • Pay by the hour: $0.05/hour, metered per second for bursty or part-time agents. Running 24/7 at this rate would cost approximately $36.50/month.
  • Memory (mem0): From $19/month for vector recall capabilities.
  • Communication (Herdr/Buzz): One-time purchase for relay or terminal runtime.
  • Forked Templates: New subscriptions per forked template start at $25+/month.

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Pros

  • +Hardware-level isolation for each AI agent via Firecracker microVMs, enhancing security and stability.
  • +Users maintain full control over their model keys (BYOK), which remain within their isolated VM.
  • +Supports persistent, always-on AI agents, eliminating the need for continuous local machine operation.
  • +Offers comprehensive observability for agent actions, tool calls, and multi-turn paths through self-hosted sidecars.
  • +Provides an API for programmatic deployment and management, facilitating integration into existing workflows.
  • +Supports a range of popular AI models including Claude Code, Codex, and Hermes.

Cons

  • −No free trial offered, requiring an initial purchase to evaluate the service.
  • −Pricing can accumulate for multiple always-on agents or extensive hourly usage.
  • −Requires users to bring their own model keys, which might be a setup step for new users.
  • −Focus on microVMs might introduce a slight overhead compared to extremely lightweight container solutions for certain use cases.
  • −As a relatively new platform (launched September 2026), long-term user reviews and community support are still developing.

Similar Tools

jurniti vs Competitors

jurniti differentiates itself in the managed AI agent hosting market primarily through its use of Firecracker microVMs for hardware-level isolation, offering a distinct security and reliability advantage over container-based solutions.

1

Specifically designed for running Python code in the cloud, with a strong focus on AI/ML workloads, offering serverless functions and persistent applications.

While Modal provides managed, isolated execution environments for your AI agents, Jurniti explicitly highlights the use of Firecracker microVMs for isolation, which Modal does not emphasize as its core isolation mechanism. You might give up the specific microVM-level isolation guarantee.

2

Deploys applications globally using Firecracker microVMs, providing strong isolation and low overhead.

Fly.io offers the same underlying Firecracker microVM technology for isolation as Jurniti. However, it is a more general-purpose application platform, meaning you would need to configure your AI agents as standard applications rather than using a platform specifically tailored for AI agent deployment.

3
Render↗

A unified platform for deploying various types of applications, including web services, background workers, and databases, with a focus on ease of use.

Render provides a managed container environment for running background workers that can act as AI agents, but it does not specifically mention Firecracker microVMs for isolation, relying on standard containerization. It's also a more general-purpose platform compared to Jurniti's AI agent focus.

4
CapRover↗

A self-hosted PaaS (Platform as a Service) solution that allows you to deploy web applications and services (containers) on your own server with a Heroku-like experience.

CapRover is a self-hosted solution, meaning you gain full control over your infrastructure and avoid recurring platform fees, but you are responsible for managing the underlying server, unlike Jurniti's fully managed service. The isolation is container-based (Docker) rather than microVMs.

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