# AGiXT Projects at AI Tinkerers

> Canonical HTML: https://aitinkerers.org/technologies/agixt
> Markdown URL: https://aitinkerers.org/technologies/agixt.md
> Technology record last updated: 2026-02-26T12:27:03Z
> Generated: 2026-09-22T18:40:36Z

AGiXT is a modular AI agent orchestration framework for automating complex workflows across various LLM providers.

This Python-based ecosystem (created by Josh Gately) centralizes agent management through a robust plugin architecture. It supports 25+ providers: including OpenAI, Anthropic, and local instances via Llama.cpp. Developers utilize AGiXT to build autonomous chains that handle memory management (via vector databases) and task execution (using tools like Google Search or GitHub). The framework prioritizes adaptability: users swap models or logic modules without rewriting the core application.

- Official technology site: https://agixt.com/
- Public AI Tinkerers demos and talks: 2
- Result page: 1 of 1

## Recent Public Talks and Demos

### [Building Community in Toronto](https://toronto.aitinkerers.org/talks/rsvp_OaeVSqqj7p8)

I started a founder community in Toronto now with over 300 people. On top of that I created an app called Ven that matches founders with vector similarity scores, and agentic - web search frameworks to gather information on candidates.

- Event context: AI Tinkerers Toronto - December Meetup sponsored by Auth0 and TribalScale! — 2025-12-03 — Toronto
- Public talk page: https://toronto.aitinkerers.org/talks/rsvp_OaeVSqqj7p8

### [Personalized Product Discovery with Agentic AI: Beyond Traditional Recommendation Engines](https://singapore.aitinkerers.org/talks/rsvp_TYi5dO1vY58)

E-commerce platforms have long used recommendation engines to boost sales. Yet, these systems often fall short when it comes to true personalization. This talk introduces how Agentic AI can revolutionize recommendations for mobiles, gadgets, accessories, and insurance plans—shifting from static algorithms to adaptive, goal-oriented agents. We’ll discuss how these agents combine customer intent, multi-modal data, and conversational interactions to deliver next-generation recommendations that drive engagement, increase trust, and create measurable business impact.

- Event context: AIT Singapore - AI Agents Showcase - 7th Oct 2025 — 2025-10-07 — Singapore
- Public talk page: https://singapore.aitinkerers.org/talks/rsvp_TYi5dO1vY58

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