We’re thrilled to announce the winners of the [5th Annual Kong Hackathon](https://konghq.com/blog/news/kong-agentic-ai-hackathon-2025)5th Annual Kong Hackathon, held in conjunction with [API Summit 2025.](https://konghq.com/blog/news/api-summit-2025-recap)API Summit 2025.
We challenged solo hackers and full-stack teams worldwide to create projects that don’t just react, they think, adapt, and act autonomously. Clearly, this year's theme was **agentic AI**: solutions that take initiative, make decisions, and solve real-world problems without being told what to do at every step.
The hackathon participants built projects that connected intelligent agents with real-world infrastructure through the [Kong AI Gateway](https://konghq.com/products/kong-ai-gateway)Kong AI Gateway, creating solutions that were innovative, practical, and production-ready.
The results are in! The top three projects listed below impressed the judges for creativity, technical depth, impact and use of Kong. Each one shows how agentic AI and API infrastructure are shaping the next wave of intelligent automation.
By: **Abhishek Chauhan** and **Preesha Gehlot**
The **Session History Plugin** extends the Kong AI Gateway with persistent session objects that preserve conversation history across requests using the `x-ai-session-id` header.
By integrating **MongoDB** for storage and implementing context summarization for efficient state management, the plugin enables scalable, context-aware conversational AI sessions.
It’s a thoughtful solution to one of the most common challenges in AI-driven applications: maintaining relevant context without sacrificing performance.
By: **Satyajit Sial, Prema Namasivayam, Ritik Bhola, Akash Acharya, and Ashal Pearl Dsouza**
The **AgenticAI-MCP-Client** plugin brings seamless **Model Context Protocol (MCP)** integration to Kong.
Connected to the **Mongo MCP Server**, it accepts natural language input, processes it through an LLM-powered agent, and converts it into structured queries.
By centralizing MCP connections within the Kong Gateway, the plugin reduces operational overhead, streamlines observability, and helps minimize the attack surface; it’s a big step forward in safely operationalizing AI systems.
By: **Andrew Kew**
The **Kong auto rollback AI agent** is an autonomous Site Reliability Engineering (SRE) tool designed to monitor gateway configurations for failures and automatically roll back misconfigurations.
This agentic approach to infrastructure management ensures rapid recovery and operational resilience — a practical example of using AI to strengthen DevOps workflows.
While each project took a unique approach, the winning entries shared a few common traits:
Congratulations to all the winners and participants on making this year’s hackathon successful.
These projects demonstrated creativity and technical excellence which truly manifests the innovative spirit of Kong’s developer community.
We especially thank the mentors, judges, and contributors for their support.
That’s a wrap on the Kong Annual Hackathon 2025. See you next year!
The Stainless deal tells you where the easy wins are headed. Turning an OpenAPI spec into a TypeScript SDK, a Python client, and an MCP server is going to be a button. That's good. It lowers the activation energy for getting an agent to call your
[](https://konghq.com/blog/enterprise/anthropic-and-stainless-ai-connectivity)
Built on top of Kong API Gateway, the Kong AI Gateway is designed to address key challenges in enterprise AI adoption. Modern AI applications rarely rely on a single model; instead, they orchestrate multiple GenAI providers, agent frameworks, Age
[](https://konghq.com/blog/engineering/kong-konnect-api-ai-gateway-vmware-vks)
When teams build agentic systems — AI that can take autonomous actions, call tools, make decisions, and chain reasoning steps across a session — the conversation focuses on models, frameworks, protocols like MCP (Model Context Protocol) and A2A (
[](https://konghq.com/blog/enterprise/durable-commit-log-ai-observability)
Success starts with three things to bridge the organizational gap. The translation table. Guide the CFO through the metrics their infrastructure is already producing and what each one means in financial terms. The goal is not to explain the technol
[](https://konghq.com/blog/enterprise/cfo-guide-ai-gateway-metrics)
A guide to learning how MCP registries help govern AI agent-to-tool connectivity AI agents are only as capable as the tools they can reach. When an agent needs to query a database, file a support ticket, or pull data from a CRM, it has to find the
[](https://konghq.com/blog/learning-center/what-is-an-mcp-registry)
The ‘AI Credit’ Economy: GitHub’s Pricing Shift Is the Beginning, Not the Exception What GitHub built matters more than the headline price change. They introduced a custom intermediary currency, the AI credit. That sits between the customer and th
[](https://konghq.com/blog/enterprise/stop-subsidizing-innovation)
Architecture, Use Cases, and How to Get Started Key takeaways - An MCP server is a lightweight process that exposes tools, resources, and prompts to AI applications over a standardized protocol. - It acts as the bridge between an LLM-powered clien
[](https://konghq.com/blog/learning-center/what-is-an-mcp-server)