Agents that deliver
Production-ready AI agents for real business workflows. Handle customer support, process data, generate content, and automate operations—reliably and at scale.
What Agents Can Do
Call Tools
Execute functions, make API calls, read files, run code, send emails—agents decide which tools to use and when.
Schedule Tasks
Break complex goals into steps. Create task queues. Execute autonomously until the goal is complete.
Remember Context
Persistent memory across sessions. Remember user preferences, past interactions, and learned information.
Self-Reflect
Evaluate outputs before returning. Catch errors. Improve responses. Learn from mistakes.
Built for Production
Enterprise workloads demand reliability. Apteva agents run in isolated processes with dedicated resources—when one fails, others continue unaffected.
Automatic health checks, graceful degradation, and instant recovery ensure your business operations never stop. Monitor everything with built-in observability.
Scale from a proof-of-concept to production without re-architecting. The same agents that work in development work at enterprise scale.
while goal not complete:
1. THINK
└─ analyze current state
2. PLAN
└─ create/update task list
3. ACT
└─ call tools, execute tasks
4. OBSERVE
└─ check results, update memory
5. REFLECT
└─ evaluate, learn, improveBuilt-in Agent Types
Worker Agent
Executes tasks and returns results
The default agent type. Receives a task, processes it using the configured LLM, and returns the result. Stateless between invocations.
Conversational Agent
Maintains context across messages
Persists conversation history in local storage. Supports threads, branching, and context windows. Ideal for chat interfaces and interactive sessions.
Supervisor Agent
Manages and coordinates other agents
Spawns, monitors, and restarts child agents. Implements supervision strategies like one-for-one and one-for-all. Handles failures gracefully.
Tool Agent
Executes functions and external calls
Equipped with tool definitions and function calling capabilities. Can execute code, make API calls, read files, and interact with external systems.
Custom Agent
Define your own behavior
Create agents with custom initialization, message handlers, and lifecycle hooks. Full control over the agent's behavior while leveraging the runtime.
Agent Lifecycle
Process is created with configuration and assigned a unique ID.
Agent loads state, connects to LLM provider, registers with supervisor.
Agent processes messages, executes tasks, maintains state.
Graceful shutdown, state persistence, resource cleanup.