Graft

Graft

Graft AI
+
+

Related Products

  • Gemini Enterprise Agent Platform
    984 Ratings
    Visit Website
  • LM-Kit.NET
    29 Ratings
    Visit Website
  • BAND
    3 Ratings
    Visit Website
  • Retool
    584 Ratings
    Visit Website
  • Jotform
    8,632 Ratings
    Visit Website
  • Sendbird
    165 Ratings
    Visit Website
  • StackAI
    53 Ratings
    Visit Website
  • Okyline
    2 Ratings
    Visit Website
  • Aikido Security
    238 Ratings
    Visit Website
  • Redlist
    64 Ratings
    Visit Website

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

Graft AI is a platform that makes legacy software usable by AI agents without requiring companies to replace existing systems. The platform turns real user interfaces into stable, governed tools that agents can call reliably. Graft observes workflows across ERPs, mainframes, desktop apps, web portals, virtual desktops, internal tools, files, and exports. It maps screens, inputs, transitions, rules, side effects, and application states to create typed tool contracts with policies, approvals, recovery logic, and conformance tests. Every action is auditable, permission-aware, and verified against the source system so agents can execute work safely and consistently. Built for enterprises with hard-to-replace systems, Graft AI helps organizations connect agent workflows to existing software while keeping data controlled, governed, and traceable.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

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

Audience

Graft AI is best suited for enterprises, operations teams, finance teams, IT and support teams, supply chain teams, customer operations teams, AI agent builders, automation teams, and organizations that need AI agents to safely operate legacy software, ERPs, mainframes, desktop apps, web portals, internal tools, and file-based workflows

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

Free
Open source
Free Version
Free Trial

Pricing

No information available.
Free Version
Free Trial

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
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Calljmp
Founded: 2025
United States
calljmp.com

Company Information

Graft AI
graft.axcelner.com

Alternatives

Alternatives

eve

eve

Vercel
OpenWeave

OpenWeave

Seven Olives

Categories

Categories

Integrations

Model Context Protocol (MCP)

Integrations

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