mrmemory 0.1.0

Agent Memory Relay — persistent long-term memory for AI agents

amr — Agent Memory Relay

Persistent long-term memory for AI agents. One line to install, three lines to integrate.

Docs · API Reference · Website

Install

pip install amr

Quickstart

from amr import AMR

amr = AMR("amr_sk_...")  # or set AMR_API_KEY env var

# Store a memory
amr.remember("User prefers dark mode and vim keybindings")

# Semantic recall
memories = amr.recall("What are the user's preferences?")
for m in memories:
    print(m.content, m.score)

# Forget a memory
amr.forget(memories[0].id)

Async Support

from amr import AsyncAMR

async with AsyncAMR("amr_sk_...") as amr:
    await amr.remember("User prefers dark mode")
    memories = await amr.recall("What does the user prefer?")

Configuration

amr = AMR(
    api_key="amr_sk_...",       # or set AMR_API_KEY env var
    agent_id="my-assistant",    # default agent ID
    namespace="default",        # default namespace
    timeout=10.0,               # seconds
    max_retries=3,              # retry on transient failures
)

API Endpoints

All requests go to https://amr-memory-api.fly.dev.

Method	Endpoint	Description
POST	/v1/remember	Store a memory
GET	/v1/recall?q=...	Semantic search
DELETE	/v1/forget/:id	Delete a memory
GET	/v1/memories	List all memories

Auth: Authorization: Bearer amr_sk_...

Pricing

Starts at $5/mo — 10K memories, 50K API calls. Sign up →

Links

• Docs: https://mrmemory.dev/docs.html
• Dashboard: https://mrmemory.dev
• GitHub: https://github.com/amr-dev/amr-python

License

MIT