agent-memory

BM25 keyword search for agent-memory. Use when asked to "find exact terms", "keyword search", "search for specific function names", "locate exact phrase", or when semantic search returns too many results. Provides fast BM25 full-text search via Tantivy index.

Query past conversations from the agent-memory system. Use when asked to "recall what we discussed", "search conversation history", "find previous session", "what did we talk about last week", or "get context from earlier". Provides tier-aware retrieval with automatic fallback chains, intent-based routing, and full explainability. Includes command-equivalent instructions for search, recent, and context operations.

Agent retrieval policy for intelligent memory search. Use when implementing memory queries to detect capabilities, classify intent, route through optimal layers, and handle fallbacks. Provides tier detection, intent classification, fallback chains, and full explainability for all retrieval operations.

Topic graph exploration for agent-memory. Use when asked to "explore topics", "show related concepts", "what themes have I discussed", "find topic connections", or "discover patterns in conversations". Provides semantic topic extraction with time-decayed importance scoring.

Semantic vector search for agent-memory. Use when asked to "find similar discussions", "semantic search", "find related topics", "what's conceptually related to X", or when keyword search returns poor results. Provides vector similarity search and hybrid BM25+vector fusion.

Wizard-style configuration guidance for a single-agent agent-memory setup. Shows defaults inline, provides a full sample config, and includes a dry-run config check step. Always confirm before creating or editing files.

Wizard-style installation guide for agent-memory (macOS/Linux). Helps users choose an install path, check prerequisites, and set PATH. Always confirm before any file edits or copying binaries. Provide verification commands only.

Diagnostic and troubleshooting workflow for agent-memory. Guides users through common install/config/daemon/ingest issues. Requires confirmation before any edits or restarts. Provides verification commands only.

Verification-only skill for agent-memory setup. Lists commands to verify installation, configuration, daemon health, and ingestion. Does not run commands automatically.

BM25 keyword search for agent-memory. Use when asked to "find exact terms", "keyword search", "search for specific function names", "locate exact phrase", or when semantic search returns too many results. Provides fast BM25 full-text search via Tantivy index.

Query past conversations from the agent-memory system. Use when asked to "recall what we discussed", "search conversation history", "find previous session", "what did we talk about last week", or "get context from earlier". Provides tier-aware retrieval with automatic fallback chains, intent-based routing, and full explainability.

Agent retrieval policy for intelligent memory search. Use when implementing memory queries to detect capabilities, classify intent, route through optimal layers, and handle fallbacks. Provides tier detection, intent classification, fallback chains, and full explainability for all retrieval operations.

Topic graph exploration for agent-memory. Use when asked to "explore topics", "show related concepts", "what themes have I discussed", "find topic connections", or "discover patterns in conversations". Provides semantic topic extraction with time-decayed importance scoring.

Semantic vector search for agent-memory. Use when asked to "find similar discussions", "semantic search", "find related topics", "what's conceptually related to X", or when keyword search returns poor results. Provides vector similarity search and hybrid BM25+vector fusion.

This skill should be used when the user asks to "configure multi-agent memory", "set up team memory", "configure agent isolation", "set agent ID", "share memory between agents", or "configure cross-agent queries". Provides interactive wizard for multi-agent configuration.

This skill should be used when the user asks to "configure LLM", "change summarizer provider", "test API connection", "estimate LLM costs", "discover models", or "tune summarization quality". Provides interactive wizard for LLM provider configuration with model discovery and API testing.

Setup, configure, and troubleshoot agent-memory installation. Use when asked to "install agent-memory", "setup memory", "check memory status", "configure memory daemon", "fix memory issues", or "troubleshoot memory". Provides interactive setup wizard, health checks, and configuration management.

This skill should be used when the user asks to "configure storage", "set up retention policies", "configure GDPR mode", "tune memory performance", "change storage path", or "configure data cleanup". Provides interactive wizard for storage configuration with state detection.