agent-recall
FeaturedPersistent 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.
Install
Quality Score: 95/100
Skill Content
Details
- Author
- Goldentrii
- Repository
- Goldentrii/AgentRecall-X
- Created
- 5 months ago
- Last Updated
- 3 days ago
- Language
- JavaScript
- License
- MIT
Integrates with
Similar Skills
Semantically similar based on skill content — not just same category
chat-recall
Recall past AI-coding work — prior sessions, decisions, and project history — through the chat-recall MCP tools (recall_*). Use when the user says "continue" / "pick up where we left off", "did we decide X", "remember when we…", "what was I doing", "what do you know about this project/me", or otherwise references earlier work that is not in the current context. Also the entry point for the surfaces no focused skill owns: team activity ("what is my team working on"), the ranked findings views ("what should I fix next", "what should I tell Claude about this repo"), and index health ("is chat-recall working", "re-index my sessions"). Leaked secrets go to chat-recall-security and the task board to chat-recall-tasks. This is the hub: it routes to the focused chat-recall skills and lists every recall_* tool. Reach for it whenever the answer lives in PAST work rather than the files in front of you.
remem-mcp
Long-term memory for coding agents. Auto-applies at the start of any coding task — recall past context before answering, capture decisions/learnings/fixes after work, use CodeGraph instead of grep for symbol lookup. Invoke when you see [remem-mcp] in your context or when starting any non-trivial coding work.
agent-memory-discipline
Teaches when to recall from long-term memory before acting and when to save durable decisions, corrections and failures afterwards. Use when a memory tool or MCP memory server is connected but the agent is not using it consistently, when the user complains that the assistant forgets preferences, conventions or past decisions between sessions, or when setting up persistent memory for a project. Works with any memory backend: a folder of Markdown files, a local MCP server, or a managed service.