Building long-term memory for agents: a philosophy, not a product
GrungeWerX · reddit · 2026-09-20
A Reddit hobbyist shares a four-month journey building agent memory from scratch: start with a single memory.md summary, add daily session summaries, then layer Postgres-backed semantic retrieval (RAG) to avoid stuffing dozens of files into context. His thesis: memory architecture flows from a clear philosophy, and you likely need to build custom tooling rather than rely on a harness's built-in memory.
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