A single OpenAPI usually is comprised of many services. To find these services, we've created the OpenAPI Explorer so you can find programmable services (that agents can use) more easily.

Turn any API into an Agent, Turn any Agent into an API.

The Agent OpenAPI serves an OpenAPI for talking to an agent, so it can be discovered publicly, and can be used as a tool for other agents. More information in the Agent OpenAPI GitHub

Agents need to be accessible from anywhere. The Agent Relay makes agents accessible from messaging apps, VoIP and phonecalls, and over email! Check out the Agent Relay on GitHub

Data needs to be discoverable as tools. A reliable CRUD Agent is extremely useful. More info here

ActionSchema makes it possible to perform operations on items in a list, but it also makes it possible to grow your data into an ever-evolving system using data-centric programming.

Coming soon.

• We're living through a technological paradigm shift that will change how we interact with computers, and how humans can find purpose. A new foundation is being created now. In this important time, I want to do my part setting good standards for better HMC.
• Big tech capitalism is trying to create a controlled closed ecosystem for AI. As AGI is approaching, misaligned commercial incentives become ever more extreme, and I don't want to live in this walled garden distopia. The solution is an open, accessible, modular ecosystem for AI Agents. An ecosystem without any vendor lock-in or privacy problems. An ecosystem where we, the people, stay in control.
• Functionally, I don't like most big AI Frameworks like LangChain because they are boilerplate-heavy, ill-tested, buggy, and founded on "hasty abstractions". OpenAPI is a long-standing standard that is not so well adopted yet in the AI world, and this has to change, as it's perfect for the use-case of tools for agents!
• The cost of knowledge work is trending to zero. I might as well put it at zero right now, so I can find my true value elsewhere. Open value creation seems fundamentally better, which is why this project is fully open source.

• Analysing thousands of services on capability, quality, speed, cost, and availability.
• Have a scalable way to sign up and get access to all service providers with multiple accounts.
• Proxy them into my own gateway which can be made available as a "Universal API" that exposes all services through a single endpoint.

Strategy: ActionSchema for Devs: OEF

• Devs want Open source. Give it.
• Devs want Easy: Serve it BYOK, accessible, and useful.
• Devs want Freedom. Provide them agents so they can go Screenless.

ActionSchema in different keywords: AI Software Engineer, Universal API, Reliable Agents, OLAM

TODO: Keep jumping between these projects and aim to finish them asap. Laserfocus.

LONGTERM: Keep these stable services for decades. Keep LOC/Complexity LOW.

This is the current ecosystem of projects developed by Code From Anywhere (❗️ dependency, 🚫 blocked, 🔴 not started, 🟠 work in progress, 🟢 done)

A dependency to the above is what I call "OpenAPI-first development". It is an opinionated way of design-first development where your OpenAPI serves as the SSOT for a lot of things, and you don't generate it, you rather generate pieces in your code FROM it. Here are some libraries I've made to allow for this.

If I feel fancy, work on this. More experimental:

• Most AI is focused around realtime co-pilots because we're all still used to the direct HMC. Try making ambient pilots that don't need to be fast.
• Pick my focus. Big topics like browser automation APIs and video editing are done by hundreds of companies and are extremely hard to stay competitive in; It's a never-ending cat and mouse game.
• Products and APIs change all the time. Instead of choosing to spend knowledgework time in specific niches, index all available capabilities.
• Most users care about their privacy and would want to have things ran locally. However, running locally is hard to setup and scale. Another way to have practical privacy is to keep the core local, but run smaller fleeting tasks in the cloud.
• How any API works exactly doesn't need to be abstracted away from. The only thing we need to do is determine API capability, quality, speed, cost, and availability.

• Can ActionSchema become agentic: allowing an agent to decompose tasks in parallel and sequential ways?
• How can I build a meta programming language that dynamically finds new actions, tests them, and improves them, that can create purpose-oriented change in a system?
  • How can I measure purpose-oriented change and figure out whether it's worth the cost?

Welcome to Code From Anywhere - a group of distributed developers and entrepreneurs building planet-first & humane-centered software. We work remotely but often come together in places like Nepal and Brazil, going on adventures.

We 🤍 Developers, AI Startups & Adventurers. Do you have a question, comment, or want to connect? Head over to our Discord

Top contributors

• Wijnand Karsens
• lonely here... 👀

This project is licensed under the MIT License - see the LICENSE file for details.

If your company generates more than $1,000,000 in Annual Recurring Revenue (ARR), you are required to obtain a commercial license. Please see the COMMERCIAL_LICENSE file for more information.

For commercial licensing inquiries, please contact Wijnand at wijnand@karsens.com