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@agent-memory/cli

v0.2.0

Published

CLI for agent-memory: long-term, cross-project memory system for AI agents

Readme

@agent-memory/cli

CLI for agent-memory — long-term, cross-project memory for AI agents.

Install

npm install -g @agent-memory/cli

Quick Start

# Initialize (downloads local embedding model)
agmem run init

# Store a memory
agmem add "Node 22 ESM has path resolution bug in monorepo" --tags node,esm

# Search (hybrid: keyword + semantic)
agmem search "ESM compatibility"

# Get full content by ID
agmem get <id>

Commands

Memory CRUD

agmem add <content> [--tags t1,t2] [--digest "summary"]
agmem get <id> [--full]
agmem update <id> [--content text] [--tags t1,t2] [--digest text]
agmem delete <id> [<id>...]

# Pipe from stdin
echo "long content" | agmem add --tags lesson

Search & Browse

agmem search <query> [--tags t1,t2] [--limit n] [--after date] [--before date]
agmem list [--tags t1,t2] [--sort time|access] [--limit n] [--offset n]
agmem tags
agmem stats

Search returns digest (not full content) — use agmem get <id> for full detail.

Source Commands

agmem run                  # List available commands
agmem run init             # Initialize source (download embedding model)
agmem run status           # Show source status
agmem run embed            # Batch embed un-indexed memories
agmem run embed-rebuild    # Full rebuild of all embeddings
agmem run embed-status     # Show embedding index status

Config

agmem config set <key> <value> [--source name]
agmem config get <key> [--source name]
agmem config list [--source name]
agmem config delete <key> [--source name]

Output Formats

| Flag | Format | Use case | |------|--------|----------| | (default) | TOON | LLM-optimized, ~40% fewer tokens than JSON | | --json | JSON | Machine parsing | | --human | Human | Terminal display |

License

MIT