AI TOOL PROFILE
Calljmp - Agentic Backend for AI Agents in TypeScript for SaaS
- Software Development
- AI Agent Platform
- 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.
At a glance
- Best for
- SaaS product teams, Developer agencies, Startups, Enterprise tech teams, TypeScript developers
- Key use cases
- Embedded product copilots, Support automation, Workflow automation, Intelligence and monitoring
- Integrations
- Slack, Email, CRM, Database, API
- Official website
- Visit Calljmp official website
How AI is used
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
Long-running stateful agents
Supports agents that persist state across multiple steps over durations ranging from seconds to hours.
Human-in-the-loop (HITL) approvals
Includes native suspend and resume patterns that allow workflows to wait for human feedback before continuing.
Zero-config deployments
Designed to deploy AI agents and workflows to production without manual infrastructure setup.
Runtime observability
Provides traces, logs, and cost tracking for each agent invocation at the runtime level.
RAG knowledge capabilities
Supports indexing and retrieving domain data via vector and hybrid search to provide AI models with context.
Secure tool access
Handles security at the runtime level, controlling how agents access specific APIs, databases, and tools.
Use Cases
Embedded product copilots
In-app assistants that read product data and guide users through workflows.
Support automation
Agents that query knowledge bases and CRMs to draft replies or route tickets to human agents.
Workflow automation
Multi-step agents for tasks such as finance operations that require pauses for review and escalation.
Intelligence and monitoring
Scheduled agents that track market signals or competitors and push summaries to Slack or email.
Integrations
- Slack
- CRM
- Database
- API
FAQ
What is Calljmp?
- 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.
How does Calljmp handle human approvals?
- 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.
What are the pricing options for Calljmp?
- 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.
Can Calljmp be used for in-app AI assistants?
- 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
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