export AMFS_HTTP_URL="https://amfs-login.sense-lab.ai"
export AMFS_API_KEY="<your-api-key>"

pip install amfs-crewai

from amfs import AgentMemory
from amfs_crewai import AMFSTool

mem = AgentMemory(agent_id="crewai-agent")
tools = AMFSTool(mem).tools()
# Returns [AMFSReadTool, AMFSWriteTool, AMFSListTool]

# Pass to your CrewAI agent
from crewai import Agent

agent = Agent(
    role="Researcher",
    goal="Analyze the codebase",
    tools=tools,
)

pip install amfs-langgraph

from amfs import AgentMemory
from amfs_langgraph import AMFSCheckpointer

mem = AgentMemory(agent_id="graph-agent")
checkpointer = AMFSCheckpointer(mem)

# Pass to your LangGraph graph builder

pip install amfs-langchain

from amfs import AgentMemory
from amfs_langchain import AMFSChatMemory

mem = AgentMemory(agent_id="chat-agent")
chat_memory = AMFSChatMemory(mem, session_key="conv-123")

# Save conversation context
chat_memory.save_context(
    {"input": "What's the retry policy?"},
    {"output": "We use exponential backoff with max 3 retries."},
)

# Load conversation history
history = chat_memory.load_memory_variables({})

pip install amfs-autogen

from amfs import AgentMemory
from amfs_autogen import AMFSMemoryStore

mem = AgentMemory(agent_id="autogen-agent")
store = AMFSMemoryStore(mem)

# Store and retrieve data
store.add("user_prefs", {"theme": "dark"})
prefs = store.get("user_prefs")

class MyFrameworkMemory:
    def __init__(self, mem: AgentMemory, scope: str = "default"):
        self._mem = mem
        self._scope = scope

    def save(self, key: str, data: dict):
        self._mem.write(self._scope, key, data)

    def load(self, key: str):
        entry = self._mem.read(self._scope, key)
        return entry.value if entry else None