Show HN: Auto Learning Agents, a self-hosted AI agent platform on Elixir/OTP
Auto Learning Agents is a self-hosted AI agent platform built on Elixir/OTP. It allows users to create, deploy, and manage autonomous agents that learn and adapt over time, with a focus on performance, reliability, and privacy through self-hosting.
Background
- Auto Learning Agents is a self-hosted platform for building and running AI agents — software programs that can autonomously reason, use tools, and act on tasks (e.g., writing code, searching the web, filling forms).
- It is built with Elixir (a language designed for high concurrency and fault tolerance) and OTP (the battle-tested telecom-grade framework that underpins Elixir/Erlang systems). This matters because most AI agent frameworks are written in Python; the Elixir/OTP stack offers built-in supervision for long-running agents, hot code reloading, and resilience that Python typically handles via external orchestration tools.
- "Self-hosted" means you run the software on your own infrastructure rather than relying on a third-party cloud service — appealing for users who need data privacy, custom integrations, or want to avoid per-token API costs on top of model usage.
- The project is open-source and appeared as a "Show HN" on Hacker News, a common way for developers to share projects they've built. The HN audience often evaluates such projects on architecture novelty, self-sovereignty, and practical usefulness for tinkerers or small teams.
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