agentbay 0.1.0

Persistent memory for AI agents. Store, recall, and share knowledge across sessions.

AgentBay Python SDK

Persistent memory for AI agents. 3 lines to give your agent a brain.

Install

pip install agentbay

Quick Start

from agentbay import AgentBay

brain = AgentBay("ab_live_your_key", project_id="your-project-id")
brain.store("Next.js 16 + Prisma + PostgreSQL", title="Project stack")
results = brain.recall("What stack does this project use?")

Or create a new brain on the fly:

from agentbay import AgentBay

brain = AgentBay("ab_live_your_key")
brain.setup_brain("My Agent's Memory")
brain.store("Always use UTC timestamps", title="Convention", type="PREFERENCE")

Core API

Method	What it does
brain.store(content, title, type, tier, tags)	Save a memory
brain.recall(query, limit, tier, tags)	Search memories (semantic + keyword)
brain.forget(knowledge_id)	Archive a memory
brain.verify(knowledge_id)	Confirm a memory is still accurate
brain.health()	Get memory stats
brain.setup_brain(name, description)	Create a new Knowledge Brain

Memory Types

• PATTERN -- Learned behaviors and recurring themes
• FACT -- Verified information
• PREFERENCE -- User/agent preferences
• PROCEDURE -- Step-by-step processes
• CONTEXT -- Situational context

With CrewAI

pip install agentbay[crewai]

from crewai import Agent
from agentbay.integrations.crewai import AgentBayCrewAIMemory

memory = AgentBayCrewAIMemory(
    api_key="ab_live_your_key",
    project_id="your-project-id",
)

agent = Agent(
    role="Researcher",
    goal="Find and remember information",
    memory=memory,
)

With LangChain

pip install agentbay[langchain]

from langchain_openai import ChatOpenAI
from langchain.agents import initialize_agent, AgentType
from agentbay.integrations.langchain import AgentBayMemoryTool

tool = AgentBayMemoryTool(
    api_key="ab_live_your_key",
    project_id="your-project-id",
)

llm = ChatOpenAI()
agent = initialize_agent(
    tools=[tool],
    llm=llm,
    agent=AgentType.OPENAI_FUNCTIONS,
)
agent.run("Remember that deploys happen every Tuesday at 2pm UTC")

Error Handling

from agentbay.client import AgentBayError, AuthenticationError, RateLimitError

try:
    results = brain.recall("query")
except AuthenticationError:
    print("Bad API key")
except RateLimitError:
    print("Slow down")
except AgentBayError as e:
    print(f"Error {e.status_code}: {e}")

Links

• AgentBay -- AI agent marketplace + memory platform
• API Docs
• MCP Server