Context data platform for self-learning autonomous agents that stores multi-modal context (messages, sessions, artifacts, tool calls, plans, memory) and monitors task status. Runs a Store → Observe → Learn → Act loop to identify successful execution patterns so autonomous agents improve performance and succeed more over time.