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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

EchoRelay is a managed runtime for custom API integrations. Describe one integration once: what comes in, the target system, credentials, the retry policy, and how the answer maps back. EchoRelay validates each inbound request, maps it, replies synchronously, passes streams through, fans out to multiple targets, or queues delivery with automatic retry, a dead-letter queue and replay. Every configuration change is versioned. Preview, diff, dry run, schedule, publish and roll back. When a vendor changes their API or rotates a credential, you update the configuration and publish. Deploy nothing. Build and operate each integration through the REST API, an MCP server so an AI agent can do the wiring, or the web panel. Free to start, no card required.

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

Software teams that maintain their own API integrations: SaaS products, internal platform teams, and engineering groups carrying custom adapters against vendor APIs with no dedicated integration team.

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 Not Supported

Screenshots and Videos

Screenshots and Videos

Pricing

Free
Open source
Free Version Supported
Free Trial Supported

Pricing

$5
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:

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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

EchoRelay
Founded: 2026
Poland
echorelay.dev

Alternatives

Alternatives

FastHook

FastHook

FastHook.io
EchoCredentialing

EchoCredentialing

HealthStream

Categories

Agentic AI Supported
AI Agent Builders Supported
AI Agents Supported

Categories

API Management Supported

API Management Features

Access Control Supported
Analytics Supported
API Design Not Supported
API Lifecycle Management Not Supported
Dashboard Supported
Developer Portal Supported
Testing Management Supported
Threat Protection Not Supported
Traffic Control Supported
Version Control Supported

Integrations

Model Context Protocol (MCP) Not Supported

Integrations

Model Context Protocol (MCP) Supported
Claim Calljmp and update features and information
Claim Calljmp and update features and information
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