Persistent compounding memory for AI agents. 5 default MCP tools: session_start, session_end, remember, recall, check. Full surface (18 tools) available with --full flag. Two-verb model: inhale (session_start) and exhale (session_end). Correction-first memory with decision trail tracking, watch_for warnings, palace rooms with salience scoring, cross-project insight matching, same-day journal merging, ambient recall hooks. Local markdown only. Zero cloud, zero telemetry, Obsidian-compatible. Optional Supabase backend: when configured via ar setup supabase, recall() uses pgvector cosine similarity on OpenAI/Voyage embeddings instead of keyword search — same API, semantic understanding. Gracefully degrades to local search if not configured.
$npx -y skills add goldentrii/agentrecall-x --skill agentrecall-xInstalls into the current project.
Run `npx skills use "https://github.com/goldentrii/agentrecall-x" --skill "goldentrii/agentrecall-x"` and follow the generated skill instructions now. Read its complete output, redirecting it to a temporary file first if necessary. Resolve relative paths from the supporting-files directory it provides.
Use the skills in "https://github.com/goldentrii/agentrecall-x" that are relevant to the current task. Run `npx skills add "https://github.com/goldentrii/agentrecall-x"` and select the relevant skills, then follow their instructions.