ai agent

AI Agent army

Joe Baranowski

17 Mar 2025 — 1 min read

Joe + David assist for local AI
Using AutoGen in order to test out using multiple agents in order to check the work of each other and hopefully make sure the data is cleaned up. Since it is microsoft project it hooks up the easiest by using OpenAI, but wanted to use local models.

Web Agent Team
Websurfer
Assistant Agent
Proxy Agent
Test 1: How many Hawaiian islands there are. It was able to do this pretty easily.
Test 2: Can you create a Facebook account? Tried giving it almost no information and got caught up with the phone number.

(Post-WIP) Comparing LLM inference engines (multi-user and multi-model)

* People * David * Idea * For a given set of local LLM models that a set of users (or community) wants to use - what is the best/easiest way to serve it (based on ease of use, speed of processing and generation, and features like multi-context and * Details * Engines like llama.

(Post-WIP) LangGraph Agentic spreadsheet matching/cleanup

* People * David * Idea * Use LangGraph workflows and nodes to collect and process QB export data in comparison to Po'owai DB export rows to generate annotated matching ids (focused on people, funding sources, and projects) * Details * LangGraph agentic workflows * Node-based Quickbooks Desktop Web Connector client * LangChain adapters for reasoning

OLA - Mar. 28th - Leading Self: Huakaʻi Of The Ecological Self

Ref Link: Ola Participant Handbook Theme Between the first and second sessions, leaders will deepen their leadership journey with an executive coach before embarking on a transformative exploration in the second gathering, drawing inspiration from the saga of Hiʻiakaikapoliopele and using traditional and modern mixed art methods to visually articulate

OLA - Feb. 28th - Leading in Community: Wayfinding

Ref Link: Ola Participant Handbook Theme ʻO nā hōkū nō nā kiu o ka lani—The stars are the spies of heaven! This immersive experience, blending land and water, allows leaders to learn both practical and metaphorical lessons from kānaka who sailed on Hōkūleʻa and Hikianalia, honing evaluative, analytical, and

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(Post-WIP) Comparing LLM inference engines (multi-user and multi-model)

(Post-WIP) LangGraph Agentic spreadsheet matching/cleanup

OLA - Mar. 28th - Leading Self: Huakaʻi Of The Ecological Self

OLA - Feb. 28th - Leading in Community: Wayfinding