Best alternatives to CueMap in 2026

AI agents that need to remember things across sessions usually lean on a vector database, but plain similarity search doesn't capture how memory actually works — some things matter because they're recent, others because they keep coming up, others because of the specific context they happened in. CueMap is a purpose-built memory engine that models that more directly: it filters memories through overlapping contextual cues, balances fresh information against high-impact past events, and reinforces memories that get accessed frequently — while staying fully deterministic, so the same query reliably returns the same result. It's built in Rust for speed, claiming sub-3-millisecond average recall even across a million stored memories, and ships with an MCP server so AI coding assistants can plug into it directly, plus a CLI and HTTP API for everything else. It supports multi-project isolation, encryption at rest, and tree-sitter-powered code analysis for codebase-context use cases. Licensing is BSL-1.1 (converting to Apache 2.0 after four years) — free for development, testing, and self-hosting, with a separate commercial license required to resell it as a closed-source SaaS.