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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

Timbal is the end-to-end AI ecosystem for enterprises; a production AI platform that enterprise teams use to build, deploy, and govern agents, workflows, interfaces, and knowledge bases on the models they choose. Teams can define behavior in code or in Studio, run on the model and provider of their choice, and ship to chat, email, voice, and product UI from a single runtime. Timbal brings together the full production stack: a typed Python framework, a Studio for building visually, a runtime that orchestrates agents and workflows, governance and evals for enterprise rollout, and integrations with the systems teams already use. Agents provide autonomous AI for real work with reasoning, tools, and memory, while workflows create deterministic AI pipelines that chain steps, branch on logic, retry failed steps, stream outputs, and guarantee outcomes. Interfaces let teams ship custom AI experiences from chat to dashboards to voice, and knowledge bases connect company context.

Platforms Supported

Windows Supported
Mac Supported
Linux Supported
Cloud Supported
On-Premises Not Supported
iPhone Supported
iPad Supported
Android Supported
Chromebook Not Supported

Platforms Supported

Windows Not Supported
Mac Not Supported
Linux Not Supported
Cloud Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Audience

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

Audience

Enterprise teams and developers seeking to build, deploy, and scale production AI agents, workflows, interfaces, knowledge bases, and integrations

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported

API

Offers API Not Supported

API

Offers API Supported

Screenshots and Videos

Screenshots and Videos

Pricing

Free
Open source
Free Version Supported
Free Trial Supported

Pricing

€25 per month
Free Version Supported
Free Trial Not Supported

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 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

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.

Training

Documentation Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported

Training

Documentation Supported
Webinars Not Supported
Live Online Supported
In Person Not Supported

Company Information

Calljmp
Founded: 2025
United States
calljmp.com

Company Information

Timbal
Founded: 2024
Spain
timbal.ai/

Alternatives

Alternatives

Lyzr

Lyzr

Lyzr AI
Bolt.new

Bolt.new

StackBlitz
Tines 3B

Tines 3B

Tines

Categories

Agentic AI Supported
AI Agent Builders Supported
AI Agents Supported

Categories

AI Agent Builders Supported
AI Automation Supported
Vibe Coding Supported

Integrations

Airtable Not Supported
Gmail Not Supported
HubSpot CRM Not Supported
Model Context Protocol (MCP) Not Supported
Notion Not Supported
PostgreSQL Not Supported
Salesforce Not Supported
Slack Not Supported
Stripe Not Supported
Zendesk Not Supported

Integrations

Airtable Supported
Gmail Supported
HubSpot CRM Supported
Model Context Protocol (MCP) Supported
Notion Supported
PostgreSQL Supported
Salesforce Supported
Slack Supported
Stripe Supported
Zendesk Supported
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