agentmemory Puts a Dollar Figure on Memory Architecture — ~$10/Year vs ~$500/Year for LLM-Summarized Context

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rohitg00/agentmemory (25,913 stars, ~170/day, Apache-2.0) uses triple-stream retrieval — BM25 keyword, vector embeddings and knowledge-graph traversal fused via Reciprocal Rank Fusion on the iii engine (v0.11.2) — with SQLite for state and an in-memory vector index, no external database required. Its headline economic claim is ~170K tokens/year (~$10) versus ~650K tokens (~$500) for the LLM-summarization approach that most session-memory tools use. It exposes itself to 30+ agents via MCP or REST including Claude Code, Codex CLI, Copilot CLI, Cursor, OpenClaw, Hermes and pi.