AI agents have evolved significantly beyond chat. Writing code, persist filesystem state, execute shell commands, and managing states throughout the filesystem are some examples of things that they can do. As agentic coding assistants and development workflows have matured, the filesystem has become agents’ primary working memory, extending their capabilities beyond the context window. This shift creates two challenges that every team that’s building production agents runs into:
- The filesystem is ephemeral. When your agent’s session stops, everything that it created, like the installed dependencies, the generated code, or the local git history disappears.
- When your workflow needs a deterministic operation like
npm testorgit push, you’re forced to route it through the large language model (LLM) or build custom tooling outside the runtime. Neither option is good.
Amazon Bedrock AgentCore Runtime now addresses both challenges…
