xpander.ai offers Backend-as-a-Service infrastructure for autonomous agents: memory, tools, multi-user state, various agent triggering options (MCP, A2A, API, Web interfaces), storage, agent-to-agent messaging — designed to support any agent framework and SDK
Build AI agents faster by focusing exclusively on agent logic rather than infrastructure
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# Get your agentagent = xpander.agents.get(agent_id=os.getenv("XPANDER_AGENT_ID"))# Manage AI state with a single API (is_finished)while not agent.is_finished(): # Get LLM response response = llm_provider.chat.completions.create( model="gpt-4.1", messages=agent.messages, # Auto-translate messages object between frameworks tools=agent.get_tools(), # Auto-translate tools object between frameworks ) # Extract tool calls from the AI response tool_calls = agent.extract_tool_calls( llm_response=response.model_dump() ) # Securely run the AI choices in xpander cloud after validating generated payloads # Auto-enforce API Rules and dependencies agent.run_tools(tool_calls=tool_calls)# Asynchronously load the agent result for long-running multi-step taskstask_result = agent.retrieve_execution_result()
Build AI agents faster by focusing exclusively on agent logic rather than infrastructure
Copy
Ask AI
# Get your agentagent = xpander.agents.get(agent_id=os.getenv("XPANDER_AGENT_ID"))# Manage AI state with a single API (is_finished)while not agent.is_finished(): # Get LLM response response = llm_provider.chat.completions.create( model="gpt-4.1", messages=agent.messages, # Auto-translate messages object between frameworks tools=agent.get_tools(), # Auto-translate tools object between frameworks ) # Extract tool calls from the AI response tool_calls = agent.extract_tool_calls( llm_response=response.model_dump() ) # Securely run the AI choices in xpander cloud after validating generated payloads # Auto-enforce API Rules and dependencies agent.run_tools(tool_calls=tool_calls)# Asynchronously load the agent result for long-running multi-step taskstask_result = agent.retrieve_execution_result()
Provide a managed AI agent development experience across your organization with governance, security, and scalability built-in.
Centralized Management: Deploy and monitor all agents from a single dashboard
Role-Based Access: Control who can create, modify, and deploy agents
VPC Deployment: Run in your own secure environment
Audit Logging: Track all agent activities and interactions
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Responses are generated using AI and may contain mistakes.