AutonomousAIagents
Build AI agents that think, plan, and act autonomously. Multi-agent orchestration for complex business automation.
Agent Orchestration Platform
Our agentic systems coordinate multiple specialized agents working together.
Agent Orchestrator
Multi-Agent System • Production
class OrchestratorAgent: def __init__(self, tools, memory): self.tools = tools self.memory = memory def plan(self, goal): steps = [] for tool in self.tools:
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Agent capabilities
From single agents to complex multi-agent systems.
Autonomous Agents
Self-directed AI agents that understand goals, plan actions, and execute tasks with minimal human oversight.
Multi-Agent Orchestration
Coordinate multiple specialized agents working together on complex tasks. Manager agents, worker agents, and critic agents.
Tool Use & Function Calling
Agents that can use APIs, databases, browsers, and custom tools to accomplish real-world tasks.
Agent Memory Systems
Short-term and long-term memory for agents. Conversation history, learned patterns, and persistent knowledge.
Guardrails & Safety
Built-in safety constraints, approval workflows, and human-in-the-loop checkpoints for critical decisions.
Real-Time Execution
Low-latency agent responses for interactive applications. Streaming outputs and parallel task execution.
Agent Use Cases
Customer Service Agents
AI agents that handle support tickets end-to-end. Access knowledge bases, process refunds, and escalate when needed.
Research Assistants
Agents that gather information from multiple sources, synthesize findings, and produce comprehensive reports.
Process Automation
Autonomous agents that execute business workflows across multiple systems without manual intervention.
Code Generation Agents
AI agents that write, test, and deploy code. Understand requirements and iterate based on feedback.
Agent Development Process
Agent Design
1-2 weeksDefine agent capabilities, tools, and boundaries. Map out decision trees and escalation paths.
Tool Integration
2-3 weeksConnect agents to necessary systems and APIs. Build custom tools for domain-specific tasks.
Orchestration Layer
2-4 weeksBuild the coordination logic for multi-agent systems. Task routing, state management, and communication.
Testing & Safety
2-3 weeksRigorous testing of agent behaviors. Edge case handling, safety constraints, and fallback mechanisms.
Production Deployment
OngoingDeploy agents with monitoring, logging, and feedback loops. Continuous improvement based on usage.
Frequently Asked Questions
Agents are autonomous and can take actions, not just generate text. They reason about goals, plan multi-step solutions, use tools, and execute tasks in the real world.
We implement multi-layered safety: input validation, output filtering, action constraints, approval workflows for sensitive operations, and comprehensive logging for audit trails.
Yes, we build custom tools that let agents interact with your APIs, databases, CRMs, ERPs, and other systems. Agents become power users of your existing infrastructure.
We work with various models (GPT-4, Claude, open-source) depending on your requirements for cost, latency, capability, and data privacy. We can also run models on your infrastructure.
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