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AI agents as Code, on a managed backend

Platform to build and scale agents inside your product

Calljmp runs your agents next to your existing backend, so you can add product copilots and other AI features without building new infrastructure.

Long-running, stateful agents with HITL

Secure access to your app's data and APIs

Traces, logs, and costs in one place

Built for teams shipping AI into real products

From first prototype to production-grade agent workflows, Calljmp helps different teams build, deploy, and operate AI features without stitching infrastructure together.

SaaS Product Teams

Launch copilots, support agents, internal assistants, and workflow automation directly inside your product.

Developer Agencies / Studios

Ship AI features for clients faster with built-in runtime, observability, and deployment already handled

Startups

Validate AI use cases quickly without building orchestration, retries, state handling, or HITL from scratch

Enterprise Teams

Run production AI workflows with approvals, long-running execution, tracing, and controlled tool access

Ship AI Features Into Your Product This Week

Copilots, support agents, and internal workflows - built, deployed, and observable in one place

Where Calljmp sits in your architecture

See how Calljmp integrates into your existing system and what responsibilities each side owns.

UsersYour product(web / mobile app)Your app backend(product logic, auth, billing)HTTPS / REST APICalljmp agent backendAgents as TypeScriptManaged executionHITL & observabilityREST / GraphQL / gRPC / DB driversInternal systems exposed as toolsYour app backend (as a tool)CRM / ticketingDocs / knowledge storeOther services / DBs

You own

  • Product UI & UX
  • Business logic, APIs, database
  • Data models & permissions

Calljmp owns

  • Agent execution & scaling
  • State, retries, timeouts, HITL
  • Traces, logs, metrics, cost tracking
Keep your backend clean
Your app backend stays focused on product logic, not LLM plumbing and long-running jobs.
Offload agent complexity
Calljmp handles agent execution, state, retries, timeouts, and HITL on a managed backend.
Connect all your systems
Agents call your vetted APIs, databases, and services as tools through a single agentic backend.

One runtime. Every AI use case your product needs

Calljmp ships the agentic backend. You define the workflow in TypeScript. Here's what teams are building today.

Use case 01

Embedded product copilot

An in-app AI assistant that reads real product data, guides users step-by-step, and executes actions with approval flows built in.

"Copilot live in our dashboard in a week - no new backend required."

Use case 02

Support automation agent

Receives tickets from Slack, email, or any channel. Queries your KB and CRM, then returns a grounded answer or routes to a human with a draft reply.

"Cut L1 support volume by 60% within the first month of shipping."

Use case 03

Long-running workflow automation

Multi-step agents that run for seconds to hours - with stateful pauses, retries, human-in-the-loop approvals, and full trace observability.

"Finance ops agents that process, flag, and escalate - without babysitting."

Use case 04

Intelligence & monitoring agents

Scheduled agents that track competitors, monitor market signals, and push summarized digests to Slack or email - fully automated, on your cadence.

"Weekly competitor intel digest - built and shipped in an afternoon."

Build faster with Calljmp's agentic primitives

Calljmp gives you the core building blocks for production AI agents — without forcing you into a visual builder or a custom backend. Compose these primitives in TypeScript and let the runtime handle the heavy lifting.

Runtime & workflows

Long-running, stateful runs

Memory & context

Summaries and long-term state

Tools & connectors

APIs, DB, services as tools

Human-in-the-loop

Approvals and reviews

Observability

Traces, logs, costs

Run agents as one unified backend

Develop, deploy, and manage your agentic logic in a single, consistent environment. Calljmp handles the infrastructure, scaling, and orchestration of complex workflows, ensuring reliability and performance without the operational overhead.

Agent runtime
import { workflow, llm, datasets, memory } from '@calljmp/agent';
import { z } from 'zod';

export function run(input: { message: string }) {
  return workflow.phase(
    'Chat',
    () => lm.generate({
      input: [
        {
          role: 'system',
          content: 'You are a copilot for a dashboard.',
        },
        {
          role: 'user',
          content: input.message,
        },
      ],
      memory: memory.short.context(),
      tools: [
        llm.tool({
          name: 'queryKnowledgeBase',
          description: 'Search product documentation and knowledge',
          parameters: z.object({
            query: z.string(),
          }),
          execute: async ({ query }) => {
            const { segments } = await datasets.query(query);
            return segments.map(segment => segment.content).join('\n---\n\n');
          },
        }),
      ],
    })
  );
}

Give your agents better context

Empower your agents with comprehensive and relevant information. Calljmp provides a flexible system for ingesting, indexing, and retrieving data from various sources, ensuring your AI models have the context they need for accurate and helpful responses.

Examples
Docs / knowledge
Chat history
Memory
Instructions
1
2
3

Where AI agents fit in your stack

See how to plug agents into your existing API, DB, CRM, billing, and knowledge base - without rebuilding everything

Your future agentic infrastructure on one backend

Multiple agents, one runtime: Product, support, marketing, and finance agents share the same execution, state, and observability layer.

Shared tools and data access: Each agent calls the same vetted tools to reach CRMs, billing, data warehouse, ticketing, and more.

Central governance & evaluation: One place to monitor behavior, run evals, and roll out changes across all agents.

In-app UI / chat SDKREST / GraphQL / gRPC / DBEnd usersSupport teamMarketing teamFinance teamCalljmp agentic backendProductcopilotSupportagentMarketinganalystFinanceops agentAgentsas codeShared tools& memoryManagedexecutionEval &observabilityProduct API/ DBCRM /ticketingBilling /financeDatawarehouse / BIDocs /knowledge

Why not just your backend or a visual builder?

Most teams either bolt agents onto their existing backend or try a visual builder. Calljmp gives you a dedicated, code-native agentic backend next to your app backend.

DIY in inside your main backend

  • Long-running jobs and pauses are painful
  • LLM plumbing mixed with normal business logic
  • Scaling, timeouts, queues – all your problem

Calljmp: code-native agentic backend

  • Agents as TypeScript in your repo
  • Dedicated runtime for long-running, stateful agents with HITL
  • Clean tools to call your APIs, DB, services
  • Traces, logs, and costs in one place

Visual builders / agent studios

  • Good for simple prototypes
  • Hard to express complex logic and edge cases
  • Limited version control, testing, and deep integration

Build, run, and scale faster with edge-native orchestration

Build AI agents and workflows as code directly in TypeScript, deploy them instantly to production, and connect to your data sources with zero configuration.

Memory

Persistent and queryable context, shared across agents. Durable storage with zero cold starts.

Knowledge

Attach domain data to any agent using built-in vector and hybrid search. Works with your own documents, APIs, or databases.

Prompt
Planning
Reasoning
Reflection

Reasoning

Design complex multi-step logic as code, with observability at every phase. View traces, logs, and outputs directly from the Calljmp dashboard.

Human in the loop

Integrate approvals, manual feedback, and reviews into any agent flow. Seamlessly combine automation and oversight without extra infrastructure.

Trusted by developers

Accelerate AI-enabled app development with TypeScript - defined agents and workflows.

Your future agentic infrastructure

Run support, marketing, and finance agents on the same backend - reusing tools, memory, and evals

From our blog

Insights, tutorials, and stories from the world of AI agents and workflows as code. Learn how to build better apps with less complexity.

Frequently asked questions

Find answers to common questions about Calljmp's features, pricing, and capabilities.