Vibe coding has made the simple stuff easy. Anyone can stand up a basic app now, and that is great and all, but now it also means that since the simple problems are all solved, someone like me had to find much harder things to do to avoid being bored. So AI Apps API was made for my API service, I made about 15 systems that I called apps. These used to be hard, but everyone has everything now, so as someone who prefers inventing things, it seemed like a huge bottleneck to stop and try selling these things as a small company so I took my own agents system and several other projects and either made them open source, or just use them for myself.
Come with me on my adventures, I will keep listing out my project websites here so check back often. Coming soon, a science site where I make an LLM that tries to think on its own, online games made with AI, my AI Image tool, and more.
Multi AI Agent Operating System With UI
Learning Agents are not chatbots, and they are not simple automations that run a script and stop. They are persistent AI server environments where multiple specialized agents run in parallel, each handling a different part of your business, coordinated by a central brain that monitors every agent, extracts patterns from their results, and adjusts strategy automatically. The agents build on each other's work, share knowledge through a memory bank, and get measurably better at their jobs over time. You set the goals and run everything from one console, choosing the model behind it, Claude, Antigravity, or Codex, while the system keeps its own files, memory, and knowledge base, logs every action it takes, and turns anything that needs a decision into a proposal you approve. These agents have been used for work such as marketing outreach, SEO content, customer support, code maintenance, and social media, and if you want a custom system built, contact me and we can work out exactly what you need.
This agent system will soon be a free, open-source project on GitHub, with more information coming soon. The open-source version has been simplified and adjusted for other developers to follow, so it needs a little more time for testing and documenting.
Adaptive Recall: Persistent Memory for AI Systems
Adaptive Recall gives AI agents and applications a structured memory system that persists across sessions, conversations, and deployments. Store knowledge with semantic context, recall it through natural language search, and let your AI systems build on what they have learned over time. The system supports different memory types for different purposes, relationship graphs between stored knowledge, and point-in-time snapshots for version control. Available as an MCP server for direct integration with Claude, custom agents, and any application that needs AI with long-term memory. The memory method behind it is patent pending.
Contact Me
Email support@aiappsapi.com, or send a message here.