Show HN: Remembrane – agent memory in one SQLite file, zero dependencies

This is a small library for giving an agent persistent memory without running any infrastructure. The whole store is one SQLite file, and the default install has no dependencies. I built it because whenever I wanted an agent to remember a handful of facts across sessions, the options were a hosted API, a vector database, or a framework, and that felt like too much for what is usually a few thousand short strings. The part I find most useful is that recall is deterministic, so you can write unit tests that assert what your agent remembers and run them in CI. I haven't seen that elsewhere and it's what I rely on most. Beyond that: it's one file you can copy, inspect, or delete, with no server or background process; every result can show its own score breakdown, so ranking isn't a black box; and every change is journaled, so you can snapshot the store and diff it later. It also exposes an MCP server, so an MCP-capable agent like Claude can use it directly, and there are LangChain and CrewAI adapters. It ranks by similarity plus recency, importance, and whether a memory has been useful before, and those weights are configurable, including turning recency off. There's also a check that flags when two memories contradict each other, but it's a heuristic, and I'd treat its output as candidates to review rather than ground truth. Limits, up front: the default embedder is lexical, not semantic, so for real semantic recall you plug in sentence-transformers or OpenAI with one line. It's meant for agent-scale memory, thousands of items rather than millions; past roughly 50k you've outgrown the design and should use a vector database. None of the recency or conflict ideas are novel either. Systems like Zep have done temporal memory for a while; my only claim is that you can get a useful version of it in a dependency-free file you can test. I did compare it to mem0, and I want to be clear about what that does and doesn't show. I ran mem0 in its no-LLM mode (infer=False) with the