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About

Calljmp is a developer-first AI agent runtime designed to build, run, and scale long-running stateful workflows written in TypeScript. While many modern tools like Mastra AI provide rich frameworks to define agents and workflows, Calljmp focuses on actually running them reliably in production. Calljmp combines agent logic, durable execution, human-in-the-loop pause/resume, retries with idempotency, and built-in observability into a unified execution environment. Developers implement agents as code, and the runtime guarantees reliable execution, state persistence, and operational visibility without gluing together custom queues, databases, and monitoring stacks. Calljmp is ideal for engineering teams, product developers, and backend architects who want to embed intelligent agents into product systems while offloading execution complexity to a purpose-built runtime.

About

Naive is an AI-powered platform designed as an autonomous company runtime that enables users to build and operate an entire business through a single chat interface. Users begin by describing the company they want to create, after which the system automatically generates a company “headquarters,” deploys AI agents, and initiates key business functions such as launching campaigns, building applications, and managing operations. These AI agents act as autonomous employees capable of executing tasks across sales, marketing, customer support, engineering, and more, allowing businesses to function without traditional teams. It provides a unified dashboard where users can observe real-time activity, including outbound campaigns, content publishing, customer interactions, and product development updates, all handled by agents working simultaneously.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

SaaS Founders, CTOs, Software Engineers, AI Developers, Product Managers

Audience

Founders, entrepreneurs, and teams who want to build and run entire businesses using AI agents that automate operations, sales, and product development

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

Free
Open source
Free Version
Free Trial

Pricing

$49 per month
Free Version
Free Trial

Reviews/Ratings

Overall 5.0 / 5
ease 4.0 / 5
features 5.0 / 5
design 5.0 / 5
support 5.0 / 5

Reviews/Ratings

Overall 1.0 / 5
ease 1.0 / 5
features 1.0 / 5
design 1.0 / 5
support 1.0 / 5

Pros & Cons from Real Users

Pros

  • Calljmp stands out as a true agentic backend for running AI workflows in production. It turns fragile, prompt-driven scripts into durable, stateful systems that can handle long-running tasks reliably. The biggest advantage is built-in durable execution. Every step in a workflow is checkpointed, so there’s no “state amnesia.” If an API fails or a process is interrupted, execution resumes exactly where it left off. This is critical for AI agents handling multi-step or long-duration jobs. It also acts as a centralized layer for execution state, retries, and observability. Instead of building custom infrastructure for each agent, we rely on Calljmp to manage orchestration and state persistence. That shift alone saves significant engineering time and reduces operational risk.
  • "Most ""AI agent"" frameworks are just brittle API wrappers. Calljmp’s biggest win is that it operates as a true managed agentic backend. It provides durable execution out of the box, saving state checkpoints at every step. If a task times out or a node restarts mid-workflow, the agent doesn't lose its place—it just resumes. This saved our team from having to manually build and maintain custom queues, state databases, and retry logic. Another massive plus: the workflows are fully replayable. Debugging complex, multi-step agents is actually possible because you get full observability into the execution data instead of dealing with an LLM black box. It handles the 80% of backend infrastructure plumbing that usually makes production AI so fragile, letting us focus entirely on the core logic."

Cons

  • Setup takes some effort since it’s a foundational backend layer - not a plug-and-play tool. You need to think in terms of architecture, not just prompts.
  • It’s a deep architectural layer, not a plug-and-play toy. Because it operates as a serious code-first agentic backend, the initial setup and integration take actual development time.

Pros & Cons from Real Users

Pros

  • It started out pretty good. However, it went downhill very quickly. Over $100 in credits spent and I could not even sign into the application.

Cons

  • It kept on going into circles. I could not sign into the application. It kept on going into circles as to why I could not sign in. It would go into a complete circle. Then it advised that it would try a totally new format. Boom. Same circle. Same token depletion. Don't even think that their help desk will do anything. They said they would respond within hours. No dice. Crickets.

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Calljmp
Founded: 2025
United States
calljmp.com

Company Information

Naive
United States
usenaive.ai/

Alternatives

Alternatives

eve

eve

Vercel

Categories

Categories

Integrations

Ahrefs
Cal.com
Claude
DataForSEO
Figma
Fireflies.ai
Framer
Ghost
GitHub
Google Analytics
Google Search Console
Linear
LinkedIn
Notion
Shopify
Stripe
Supabase
Telegram
Vercel
WordPress

Integrations

Ahrefs
Cal.com
Claude
DataForSEO
Figma
Fireflies.ai
Framer
Ghost
GitHub
Google Analytics
Google Search Console
Linear
LinkedIn
Notion
Shopify
Stripe
Supabase
Telegram
Vercel
WordPress
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Claim Calljmp and update features and information
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