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AgentKit
Coding
Freemium

AgentKit

A production-ready framework to build, test, and deploy AI agents. Features a visual workflow builder, multi-agent orchestration, and seamless integration with any tech stack via MCP.

Rating
0
Reviews
0
Upvotes
3 months ago
Listed
AI Agents
Developer Tools
Workflow Automation
Software Development
Visual Programming
LLM Orchestration
MCP
Coding Assistant
Full-Stack Development
Tool information
Provider
Inngest
Platforms
Web
Node.js
TypeScript
Languages
English
API Available
Yes
Added to directory
3 months ago
Last updated
about 1 month ago
Rating
Not available
Pricing
Freemium

About AgentKit

What the tool does and who it's for

AgentKit is a production-ready framework and visual development suite designed by Inngest (and often associated with OpenAI's agentic ecosystem) to help developers build, test, and deploy AI agents at scale. It streamlines the creation of complex multi-agent systems, moving from simple inference calls to semi-autonomous agents that can handle full-stack coding, testing, and marketing workflows. The platform features a visual Agent Builder for designing logic on a drag-and-drop canvas, a Connector Registry for managing third-party data tools, and ChatKit for quickly embedding agentic UIs into existing applications. By offering zero framework lock-in and support for Model Context Protocol (MCP), it enables seamless integration with various tech stacks and external services like Google Analytics, Stripe, and SendGrid.

Key capabilities

Agent Builder: A visual drag-and-drop canvas for designing and versioning multi-agent workflows.
ChatKit: A toolkit for quickly embedding customizable, agentic chat UIs into your product.
Model Agnostic: Supports OpenAI, Anthropic, Gemini, and any OpenAI API-compatible models.
Connector Registry: Centralized management for connecting data and tools like Stripe, Slack, and Google Ads.
Evaluation & Trace Grading: Built-in tools to measure agent performance and run systematic test scenarios.
Zero Framework Lock-in: Highly adaptable architecture that works with any tech stack (Next.js, Python, etc.).
MCP Support: Native integration with Model Context Protocol to bridge various third-party services.
Reinforcement Fine-Tuning: Infrastructure to collect feedback and improve agent behavior over time.

Pricing

Freemium — plans below

Open Source / Developer

$0

  • Core AgentKit framework
  • Local development logs
  • Community Discord support
  • Standard API model pricing applies

Pro / Enterprise

Most popular

Contact sales

  • Visual Agent Builder (Beta)
  • Advanced Evals & Trace Grading
  • Connector Registry access
  • Global Admin Console
  • Priority support

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