agentstate 1.0.0

Firebase for AI Agents - Persistent state management for AI applications

🤖 AgentState Python SDK

Firebase for AI Agents - Python SDK for persistent agent state management.

🚀 Quick Start

Installation

pip install agentstate

Basic Usage

from agentstate import AgentStateClient

# Connect to AgentState server
client = AgentStateClient("http://localhost:8080", namespace="my-app")

# Create an agent
agent = client.create_agent(
    agent_type="chatbot",
    body={"name": "CustomerBot", "status": "active", "conversations": 0},
    tags={"team": "support", "environment": "production"}
)

print(f"Created agent: {agent['id']}")

# Update agent state
updated = client.create_agent(
    agent_type="chatbot", 
    body={"name": "CustomerBot", "status": "busy", "conversations": 5},
    tags={"team": "support", "environment": "production"},
    agent_id=agent['id']  # Update existing agent
)

# Query agents
support_agents = client.query_agents({"team": "support"})
print(f"Found {len(support_agents)} support agents")

# Get specific agent
retrieved = client.get_agent(agent['id'])
print(f"Agent status: {retrieved['body']['status']}")

📚 API Reference

AgentStateClient

__init__(base_url, namespace)

Initialize the client.

• base_url: AgentState server URL (e.g., "http://localhost:8080")
• namespace: Namespace for organizing agents (e.g., "production", "staging")

create_agent(agent_type, body, tags=None, agent_id=None)

Create or update an agent.

• agent_type: Agent category (e.g., "chatbot", "workflow", "classifier")
• body: Agent state data (dict)
• tags: Key-value pairs for querying (dict, optional)
• agent_id: Specific ID for updates (str, optional)

Returns: Agent object with id, type, body, tags, commit_seq, commit_ts

get_agent(agent_id)

Get agent by ID.

• agent_id: Unique agent identifier

Returns: Agent object

query_agents(tags=None)

Query agents by tags.

• tags: Tag filters (e.g., {"team": "support", "status": "active"})

Returns: List of matching agent objects

delete_agent(agent_id)

Delete an agent.

• agent_id: Unique agent identifier

health_check()

Check server health.

Returns: True if healthy, False otherwise

🎯 Usage Examples

Multi-Agent System

from agentstate import AgentStateClient

client = AgentStateClient("http://localhost:8080", "multi-agent-system")

# Create coordinator agent
coordinator = client.create_agent("coordinator", {
    "status": "active",
    "workers": [],
    "tasks_queued": 50
}, {"role": "coordinator"})

# Create worker agents
workers = []
for i in range(3):
    worker = client.create_agent("worker", {
        "status": "idle",
        "processed_today": 0,
        "coordinator_id": coordinator["id"]
    }, {"role": "worker", "coordinator": coordinator["id"]})
    workers.append(worker)

print("Multi-agent system initialized!")

🔗 Links

• GitHub: https://github.com/ayushmi/agentstate
• Documentation: https://github.com/ayushmi/agentstate#readme
• Issues: https://github.com/ayushmi/agentstate/issues