The original title is: "Your AI agent dies when the chat ends. That is the real architecture bug."

Short summary

Most AI agents die when the chat session ends because they use chat turns as their lifecycle instead of durable processes. A proper agent architecture separates model judgment from runtime continuity, using cron jobs, event triggers, and persistent goals to handle long-running work. Talon is an open-source TypeScript agent harness implementing this pattern with persistent scheduling, multi-frontend support, and swappable model backends.

• •AI agents need durable runtimes, not chat sessions, to handle long-running work like cron, triggers, and goals
• •Separating model judgment from runtime continuity allows backend swapping without losing agent state
• •Talon is an open-source TypeScript agent harness implementing this durable architecture pattern

Generated with AI, which can make mistakes.