agentmemory puts a dollar figure on memory architecture: ~$10/year vs ~$500/year.

Triple-stream retrieval (BM25 keyword, vector embeddings, knowledge-graph traversal) fused via Reciprocal Rank Fusion on the iii engine, with SQLite for state and an in-memory vector index, no external database. The economic claim: 170K tokens/year ($10) versus 650K tokens ($500) for the LLM-summarization approach most session-memory tools use. Exposes itself to 30+ agents via MCP or REST including Claude Code, Codex CLI, Copilot CLI, Cursor and OpenClaw. Apache-2.0. (GitHub)