# Setup (agent runs once, human pays $1 via emailed link)
agmry signup my-project --email joe@company.com --local

# Store memory
agmry store SPACE_ID "User prefers dark mode"
agmry store SPACE_ID "Deployed v2.1 to production" -r assistant

# Recall recent messages
agmry recall SPACE_ID
agmry recall SPACE_ID -n 50 --json

# Semantic search
agmry search SPACE_ID "what was the deadline"

# Key-value context
agmry ctx SPACE_ID set user_prefs '{"theme":"dark","lang":"en"}'
agmry ctx SPACE_ID get user_prefs

# Long-term entries
agmry entry SPACE_ID "Project architecture" "Monorepo with 3 services" --tags "arch,decisions"
agmry entries SPACE_ID --tags "decisions"

# Load everything at session start
agmry boot SPACE_ID --json

Agent Instructions

Add to your agent instructions (.cursorrules, .clinerules, .windsurfrules, etc.):

## Agentic Memory
Use the agmry CLI for persistent memory across sessions.
Key is in .agmry/config.json (auto-loaded).

agmry store SPACE "what happened"     # remember something
agmry recall SPACE                     # what was said recently
agmry search SPACE "the deadline"     # find past context
agmry ctx SPACE set key "value"       # store structured data
agmry boot SPACE --json                # load everything at session start

Config Priority

--key flag
AGMRY_API_KEY environment variable
AGENTICMEMORY_API_KEY environment variable
./.agmry/config.json (project-local)
~/.agmry/config.json (global)

All Commands

Run agmry --help for the full reference.

Command	Description
`agmry signup <slug>`	Create account ($1 verification)
`agmry login`	Save API key
`agmry spaces`	List memory spaces
`agmry space create "name" slug`	Create space
`agmry store <SPACE> "msg"`	Store message
`agmry recall <SPACE>`	Recall messages
`agmry search <SPACE> "query"`	Semantic search
`agmry ctx <SPACE> set key "val"`	Set context
`agmry ctx <SPACE> get key`	Get context
`agmry entry <SPACE> "title" "content"`	Add long-term entry
`agmry entries <SPACE>`	List entries
`agmry entity <SPACE> "name"`	Add entity
`agmry scratch <SPACE>`	Get scratchpad
`agmry boot <SPACE>`	Bootstrap full context
`agmry status`	Dashboard overview
`agmry health`	API health check

Flags

--json — Machine-readable JSON output (for agent parsing)
--key KEY — Override API key
--url URL — Override base URL (default: https://agenticmemory.ai)

3-Tier Memory

Short-term (messages) — sub-millisecond reads
Medium-term (search) — semantic search across past conversations
Long-term (entries) — auto-summarised knowledge across months

Why Agentic Memory vs Claude Memory

Claude Memory is great — but it only works with Claude. If you switch LLMs, you lose everything.

	Agentic Memory	Claude Memory
LLM support	Any — GPT, Claude, Gemini, Llama, Mistral, DeepSeek	Claude only
Switch LLMs	Keep all memory	Lose everything
Multi-agent	Shared memory across agents	Single user
Data ownership	You own it. EU / US / regional.	Stored by Anthropic (US)
Programmatic control	Full CLI + API	Black box — Claude decides
Structured data	Messages + KV context + entries + entities + scratchpad	Free-text notes
Semantic search	`agmry search "the deadline"`	No search API
Agent-to-agent sharing	World memory across agents	Not possible
Cost	$1 one-time, then free	Bundled in Claude Pro ($20/mo)

"Claude Memory works for Claude. Agentic Memory works for everything."

MCP Server

Run agmry mcp-serve to start a stdio MCP server. Add to your .mcp.json:

{
  "mcpServers": {
    "agenticmemory": {
      "type": "stdio",
      "command": "agmry",
      "args": ["mcp-serve"]
    }
  }
}

14 tools: memory_store, memory_recall, memory_search, memory_bootstrap, context_set, context_get, entry_add, entries_list, spaces_list, spaces_create, and more.