Building Real-Time AI Agents with Elixir
summary
Elixir runs autonomous AI agents as lightweight GenServer processes under supervision trees, claiming the ability to manage millions of concurrent operations and a production database of over 200 million leads. Implementation uses a five-file architecture (orchestrator, runner, tools, supervisor, brain) connecting LLMs to tools like a web scraper, audio detector and Google search; a CLI agent demo performs searches and streams responses successfully. Context limits get handled by context summarization and targeted retrieval via Neo4j context graphs.
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chapters (10)
- 0:00AI agents and Elixir intro
- 1:07Agents vs chatbots
- 2:12Why Elixir for AI agents
- 3:59State management in agents
- 5:04Architecture with five files
- 6:31Live CLI agent demo
- 8:38Context window limits
- 10:46Q&A
- 12:57Scaling and DB optimizations
- 14:24Summary
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