A memory-based AI agent that guesses less and routes costs better
PipelineRecall is an agent for handling failures. A typical agent forgets the error and the answer when the chat ends, but this agent keeps past incidents and fixes across . When the same kind of problem appears again, it uses the earlier incident and the fix that worked, with the date attached.
When the problem is truly new, it does not force a confident answer and instead treats it as something it has not seen before. Memory does not automatically mean the cheapest model is used. Even when a past case is recalled, the task can still move to a stronger model if the needs more .
In one test, the agent first treated a failure as new, then recognized the same failure 30 seconds later when it was worded differently because it had just saved and recalled its own .
Key points
- The agent keeps past incidents and fixes across .
- Repeated failures are diagnosed using earlier records and proven fixes.
- New failures are treated as unknown instead of answered with a guess.
- A recalled case can still be sent to a stronger model when deeper is needed.
- The agent can save a new and reuse it moments later, even when the wording changes.