total-recall vs. Mind Glaive

Coding Agents forget everything when a session ends. total-recall fixes that: a shared memory layer that persists across sessions, tools, and devices. Memory is organized into three tiers (Hot / Warm / Cold) with a 4,000-token budget enforced automatically — so Claude gets relevant context injected at session start without carrying stale noise. Semantic search (all-MiniLM-L6-v2 embeddings, offline) retrieves the right memories on demand. A knowledge base lets you ingest READMEs, API docs, and architecture notes that are retrieved semantically when relevant. An eval framework lets you measure retrieval quality, run benchmarks, and compare config changes — so you know memory is actually helping. All state is local: SQLite + ONNX embeddings, no external services, no API keys required. Works across Claude Code, Copilot CLI, Cursor, Cline, and OpenCode — existing memories auto-import on first run.

Eliminate context rot in Claude Code with intelligent memory hierarchy, auto-learning hooks, and specialized subagents. Uses an 8-layer memory architecture with SessionStart/End hooks that automatically persist and restore context across sessions. Includes an MCP knowledge base, pattern learning from tool usage, and pre-compaction memory compression to keep Claude informed without bloating context.