Mnemon -- execution caching and system learning for AI agents. Zero code changes. One import line. Gets smarter with every run. Saves tokens on every cache hit. Usage: import mnemon m = mnemon.init() # auto-detects tenant, patches frameworks result = m.run( goal="weekly security
"""
Mnemon -- execution caching and system learning for AI agents.
Zero code changes. One import line.
Gets smarter with every run. Saves tokens on every cache hit.
Usage:
import mnemon
m = mnemon.init() # auto-detects tenant, patches frameworks
result = m.run(
goal="weekly security audit for Acme Corp",
inputs={"client": "Acme Corp", "week": "March 17-21"},
generation_fn=my_expensive_function,
)
print(result["tokens_saved"])
Architecture by Mahika Jadhav (smartass-4ever).
"""
import asyncio
import atexit
import hashlib
import logging
import os
from mnemon.core.models import MNEMON_VERSION as __version__
import time
from typing import Any, Callable, Dict, List, Optional
from mnemon.core.models import (
ExperienceSignal, Signal
... (truncated -- full source via MCP)
See the full source, get the GitHub permalink, and search 40K more like it.
Get a free API key