{"slug":"total-recall","title":"total-recall","description":"Coding Agents forget everything when a session ends. total-recall fixes that: a shared memory layer that persists across sessions, tools, and devices.\n\nMemory 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.\n\nA 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.\n\nAll state is local: SQLite + ONNX embeddings, no external services, no API keys required.\n\nWorks across Claude Code, Copilot CLI, Cursor, Cline, and OpenCode — existing memories auto-import on first run.","developer":"strvmarv","category":null,"reported_installs":null,"active":true,"first_seen_at":"2026-10-03T22:13:33.942Z","last_seen_at":"2026-11-07T00:08:29.147Z","last_changed_at":"2026-10-03T22:13:33.942Z","platform":"claude","sources":["Community"],"works_with":["Claude Code"],"marketplace_url":null,"repository_url":"https://github.com/strvmarv/total-recall.git","web_data":{},"github_data":{},"catalog_sources":{"community":[{"name":"total-recall","source":{"sha":"a2630f671be9b12df8b8ac78df9d26f7053d2fa9","url":"https://github.com/strvmarv/total-recall.git","source":"url"},"homepage":"https://github.com/strvmarv/total-recall#readme","description":"Coding Agents forget everything when a session ends. total-recall fixes that: a shared memory layer that persists across sessions, tools, and devices.\n\nMemory 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.\n\nA 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.\n\nAll state is local: SQLite + ONNX embeddings, no external services, no API keys required.\n\nWorks across Claude Code, Copilot CLI, Cursor, Cline, and OpenCode — existing memories auto-import on first run."}]},"manifest":{"url":"https://raw.githubusercontent.com/strvmarv/total-recall/a2630f671be9b12df8b8ac78df9d26f7053d2fa9/.claude-plugin/plugin.json","payload":{"name":"total-recall","author":{"name":"strvmarv"},"license":"MIT","version":"4.0.4","homepage":"https://github.com/strvmarv/total-recall","keywords":["memory","knowledge-base","mcp","vector-search","sqlite","embeddings"],"repository":"https://github.com/strvmarv/total-recall","description":"Multi-tiered memory and knowledge base with semantic search, auto-compaction, and built-in evaluation. Works across Claude Code, Copilot CLI, OpenCode, Cline, and Cursor."},"observed_at":"2026-11-06T10:50:21Z"}}