A tutorial series on building an AI agent from scratch introduces long-term memory in its latest installment, with code available in a GitHub repository. The implementation uses a file-backed MemoryStore that saves append-only project and user notes in ~/.agent-harness/memory, accessed via read_memory and append_memory tools. The memory directory sits outside the Docker project mount, and the system prompt forbids storing secrets, credentials, or transient details.
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