Yes. Claude Opus 4.5 is designed to support long-running autonomous agents and offers strong reliability with multi-step tool use. Anthropic provides a dedicated Claude Agent SDK that implements an agent loop capable of planning, calling tools, and resuming work across multiple sessions. Rather than trying to maintain full state in a single massive prompt, the SDK uses persistent artifacts—files, logs, scratchpads—and controlled compaction so the agent can progress over hours or days. This helps avoid context-window exhaustion while maintaining task continuity.
Best practices for long-running agents follow a structured pattern. Anthropic recommends a two-agent design: an initializer agent that sets up the project or goal, and a coding or worker agent that performs incremental work. Each session leaves behind artifacts such as progress logs, instructions, and updated files. The next session reads those artifacts and continues the task without needing a full replay of earlier steps. This approach makes Claude’s behavior more stable because it’s anchored in written state rather than relying on the model to “remember” everything from a long conversation.
Long-running agents also benefit from retrieval tools. When an agent needs context—documents, code, specifications—it can call a retrieval function backed by Milvus or Zilliz Cloud. This ensures that every session starts with up-to-date and relevant information, even when working on large codebases or documentation sets. Reliable tool use comes from designing tools to be idempotent, validating arguments, logging executions, and using the SDK’s retry and safety features. Claude Opus 4.5’s improved tool reasoning helps avoid incorrect or hallucinated tool calls, but the system’s durability ultimately depends on the surrounding architecture you build.