Long-running AI agent tasks eventually hit a context window limit or get back a tool result too large to hold in context. Most agent implementations handle this badly, the task breaks, or the agent repeats already-completed work because it lost track of prior progress.

Aiden's firmware now compresses context, can switch sessions, and recovers from a saved result file, reading back the continuation ID, prior state, errors, and output tail before deciding whether to continue. This turns a common long-task failure point into something the agent can recover from cleanly, without unlimited context and without claiming to fix every possible failure mode.

Full article: aidenai.io/blog/how-aiden-agents-survive-running-out-of-context-mid-task

Firmware: github.com/AidenAI-IO/aiden-firmware