// 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.
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 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.
| name | memory-configure |
| description | 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. |
| license | MIT |
| metadata | {"version":"1.0.0","author":"SpillwaveSolutions"} |
Guide users through configuring agent-memory for a single-agent setup. This skill does not apply multi-agent configuration. Always ask for confirmation before creating or editing configuration files. Provide verification commands only; do not run them.
memory-install)memory-verify)memory-troubleshoot)db_path: ~/.local/share/agent-memory/dbgrpc_port: 50051grpc_host: 0.0.0.0log_level: infosummarizer.provider: openaisummarizer.model: gpt-4o-miniDo you already have a config file at:
~/.config/agent-memory/config.toml
1. Yes
2. No
Enter selection [1-2]:
If yes, ask if they want to keep it, overwrite, or edit.
Which summarizer provider should be used?
1. OpenAI (gpt-4o-mini)
2. Anthropic (claude-3-5-haiku-latest)
3. Local (Ollama or compatible)
4. None (disable summarization)
Default: 1
Enter selection [1-4]:
If provider needs a key, remind user to set the environment variable:
OpenAI: export OPENAI_API_KEY="sk-..."
Anthropic: export ANTHROPIC_API_KEY="sk-ant-..."
# ~/.config/agent-memory/config.toml
db_path = "~/.local/share/agent-memory/db"
grpc_port = 50051
grpc_host = "0.0.0.0"
log_level = "info"
multi_agent_mode = "separate"
[summarizer]
provider = "openai"
model = "gpt-4o-mini"
I can create or update:
~/.config/agent-memory/config.toml
Proceed? (yes/no)
If yes, ask whether to create directories as needed, then proceed.
Provide command only:
Optional verify command:
memory-daemon config check
memory-verify for health checksmemory-daemon startAny time a file change is requested, ask explicitly:
This will edit ~/.config/agent-memory/config.toml.
Proceed? (yes/no)
If the user says no, provide the commands and stop.