Do you want AI agents for your team that run on open-source technology, keep your data with you, know your processes, and still deliver top performance? In this workshop, every team member builds their own agent. Step by step. With our support.
The workshop is for teams from startups, NGOs and SMEs.
We prepare the tech stack ahead of the workshop so we can dive straight in.
Hermes Agent
Currently the most-used open-source agent.
Buzz
The workspace where people and agents work side by side.
Kimi
The smartest open-weights models, cost-efficiently hosted in Europe.
Infomaniak & Nebius
European infrastructure, open-source data centres in Finland and Switzerland, 100 % renewable energy.
Hermes is the agent that grows with you. Developed by Nous Research, it runs on your own server, learns from every interaction and stores its knowledge in auto-generated skills. You start a task on Telegram and continue it on Slack. Hermes remembers everything. You can run Hermes locally on your computer or on your own server, secure and isolated. With currently 157,000 GitHub stars, Hermes is one of the most popular AI agents worldwide and even overtook OpenClaw in usage on OpenRouter in May. Hermes is completely model-agnostic. You can connect any number of LLM providers simultaneously and switch between them flexibly.
By playing the video, you consent to the transfer of data to the respective video platform (e.g., YouTube, Vimeo).
Buzz is a self-hostable, open-source workspace platform from Block. People and AI agents work as equal members in the same rooms: chat, project management, coding, code reviews and pull requests in one place. Specialised agents are added just like team members.
By playing the video, you consent to the transfer of data to the respective video platform (e.g., YouTube, Vimeo).
The Kimi models are particularly well-suited for AI agents. They are developed as open weights by the Chinese startup Moonshot AI. In the Artificial Analysis Intelligence Index, Kimi K3 is the strongest open-weights model with 57 points, ahead of GLM-5.2 (51 points) and DeepSeek V4 Flash (50 points). The overall leader is Claude Opus 5 with 61 points. Which Kimi version is used depends on the host. In the workshop we work with whichever version is available there.
By playing the video, you consent to the transfer of data to the respective video platform (e.g., YouTube, Vimeo).
Infomaniak is the European alternative to US cloud giants. Founded in 1990 as an IT club in Geneva, Infomaniak is now Switzerland's largest web hosting company, with over one million users and 200 employees (70% in R&D). The company is B Corp certified and has been committed to sustainability since 2007, running on 100% renewable energy since 2014.
By playing the video, you consent to the transfer of data to the respective video platform (e.g., YouTube, Vimeo).
Nebius is a European AI infrastructure provider headquartered in Amsterdam and listed on the Nasdaq. Nebius runs data centres in Finland and Iceland that operate entirely on renewable energy from hydropower and geothermal sources, with air-based cooling instead of water.
By playing the video, you consent to the transfer of data to the respective video platform (e.g., YouTube, Vimeo).
You can swap out any component later: LLM, agent, hosting. You have full sovereignty.
1. Attend the free webinar
Your team can prepare by joining our free webinar State of Responsible AI.
2. Preparation
N3XTCODER deploys a Hermes Agent on Infomaniak infrastructure for every workshop participant and connects it to a Kimi model. Ready to use on workshop day. Every team member starts with their own instance.
3. Workshop
Setup and introduction to the open-source AI stack, personalisation with your own data. Each team member builds their own skill for their use case.
4. Keep using your agents
After the workshop we can shut down the server with the agents, or your team takes them over and develops them further. The N3XTCODER team can support you with that on request.
Skills are reusable instructions for specific tasks. They work like recipes that agents execute step by step. Every skill is an easy-to-read SKILL.md file that you can edit with any text editor.
A skill defines:
create-instagram-post: posts with hook, hashtags and image promptextract-insights: filter and structure insights from textscheck-brand: ensure brand complianceThesis: Experience is the scarcest resource
"The greatest learning effect comes not from knowledge transfer, but from working together on concrete problems."
That is exactly what the workshop is built for: each team member builds their own skill for their own use case.
Thesis: Strategic AI competence is the blind spot
"The decisive competence need is not in handling tools, but in the strategic positioning of AI as a transformation factor."
Instead of just trying out tools, you take over a complete open-source stack with full sovereignty.
Thesis: Shared structures are the lever
"The central lever for competence building lies in building lasting, shared structures for exchange and collective learning."
The N3XTCODER team can support your agent development beyond the workshop on request.
✅ you want to learn hands-on, not just talk about AI
✅ you want to use open-source technology instead of being tied to a US cloud provider
✅ you want to host your data in Europe, on renewable energy
We will reply with a proposal and a date, usually within a working day.
Simon Stegemann
Co-Founder and CEO
Pick a date for your video call
Have a 20-minute video call with our co-founder and CEO Simon
Receive a tailored offer
We at N3XTCODER have crafted digital solutions for global challenges with top partners across tech, civil society, and the public sector for over 10 years.
With our projects, we aim to contribute to the 17 Global Goals of the United Nations. Example: we can host your AI solutions on 100 % renewable energy in Europe and choose data centres that heat thousands of households through district heating.
Friday, 5 June 2026, 12:30 - 14:00 CEST, online. Language: German.
A free overview of the most pressing challenges and opportunities of artificial intelligence. We provide orientation and show concretely how to use AI responsibly without compromising on quality.
What are open-weights AI models?
What is the difference between open source and open weights?
