Calljmp - Agentic Backend for AI Agents in TypeScript for SaaS
Calljmp helps software teams deploy AI agents and copilots without building new orchestration infrastructure. It is designed for teams requiring stateful, long-running workflows with human-in-the-loop approval steps.
At a glance
- Category
- Software Development
- Best for
- SaaS product teams, Developer agencies, Startups, Enterprise tech teams, TypeScript developers
- Pricing
- Pricing is usage-based. The Solo plan is $20/month (1,000 actions), and the Pro plan is $99/month (10,000 actions). Additional costs include $0.01 per agent run, $0.01 per dataset query, and $0.011 per 1k AI tokens.
- Key use cases
- Embedded product copilots, Support automation, Workflow automation, Intelligence and monitoring
- Integrations
- Slack, Email, CRM, Database, API
- Official website
- calljmp.com
Calljmp is a managed backend for building AI agents and multi-step workflows using TypeScript. Rather than integrating AI logic directly into a primary application server or using a visual builder, Calljmp provides a dedicated runtime to handle execution, state management, and scaling.
The platform supports developers, SaaS product teams, and agencies building features such as in-app copilots or automated support agents. It includes capabilities for long-running processes that can pause and wait for human intervention before resuming via API.
As a code-first platform, it requires TypeScript knowledge. It provides built-in observability, allowing teams to track logs and costs per agent run. Technical buyers should confirm if a managed runtime fits their specific architecture and if their team prefers defining agent behavior through code.
Key Features
Supports agents that persist state across multiple steps over durations ranging from seconds to hours.
Includes native suspend and resume patterns that allow workflows to wait for human feedback before continuing.
Designed to deploy AI agents and workflows to production without manual infrastructure setup.
Provides traces, logs, and cost tracking for each agent invocation at the runtime level.
Supports indexing and retrieving domain data via vector and hybrid search to provide AI models with context.
Handles security at the runtime level, controlling how agents access specific APIs, databases, and tools.
Use Cases
In-app assistants that read product data and guide users through workflows.
Agents that query knowledge bases and CRMs to draft replies or route tickets to human agents.
Multi-step agents for tasks such as finance operations that require pauses for review and escalation.
Scheduled agents that track market signals or competitors and push summaries to Slack or email.
Best For
Integrations
Pricing
Pricing is usage-based. The Solo plan is $20/month (1,000 actions), and the Pro plan is $99/month (10,000 actions). Additional costs include $0.01 per agent run, $0.01 per dataset query, and $0.011 per 1k AI tokens.
FAQ
Calljmp is a managed execution layer that lets developers write AI agents and workflows in TypeScript and run them on a dedicated backend that handles state, retries, and observability.
It uses a native suspend/resume pattern, allowing an agent to pause execution and wait for an approval via API, UI, or Slack before continuing.
Calljmp offers a Solo plan at $20/month for 1,000 actions and a Pro plan at $99/month for 10,000 actions, with additional usage-based fees for runs and tokens.
Yes, it is designed to power product copilots by providing a runtime that can access app data and execute tools via TypeScript.
Source category: Software Development
Source subcategory: AI Agent Platform
