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Persistent memory for AI agents — Python SDK

Project description

cortex-memory

Persistent memory for AI agents — Python SDK.

Install

pip install cortex-ai-mem

Usage

from cortex_memory import CortexMemory

memory = CortexMemory(api_key="ctx_your_key_here")

# Save
memory.save("User prefers dark mode and Python", tags=["preference"])

# Search (semantic)
results = memory.search("theme preferences")

# Update
memory.update(results[0]["id"], "User prefers dark mode, Python, and VS Code")

# Delete
memory.delete(results[0]["id"])

# List all
all_memories = memory.list()

Get an API key

  1. Go to cortex-kappa-ten.vercel.app
  2. Sign in with GitHub or Google
  3. Navigate to Dashboard → Keys
  4. Create a key (starts with ctx_)

Features

  • Semantic search — find memories by meaning, not keywords
  • User isolation — each API key has its own private memory space
  • Tags & filtering — organize by agent, session, or custom tags
  • Works with any framework — Strands, LangChain, CrewAI, or plain Python

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