On this product
Manage agents (Flows)
Flows is Anter's agent configuration and execution environment. Define an agent's model, instructions, tools, and skills — then run it from the chat interface, the API, or on a schedule. For complex tasks, compose multiple specialized agents that hand work off to one another.
Quickstart
Configure and run your first agent in minutes.
Key concepts
Agents, projects, skills, tools, and runs explained.
Multi-agent
Build orchestrators that route to specialized sub-agents.
Core concepts
| Concept | Description |
|---|---|
| Agent | The configured AI instance — model, system prompt, tools, skills, and permission settings |
| Project | Organizational scope that groups agents, issues API keys, and manages tool connections |
| Sub-agent | A specialized agent that an orchestrator can transfer control to or delegate tasks to |
| Skill | A domain instruction bundle that loads on-demand to extend an agent's capabilities for a specific topic |
| Run | A live execution — streams back responses and preserves a full routing trace |
How it works
Create a project
A project is the unit of organization — it groups your agents together and is the scope for API keys and tool connections. Start by creating one for your use case.
Build an agent
Define the agent's model, system prompt, and permission mode. The permission mode controls whether the agent acts autonomously or pauses for approval before taking sensitive actions.
Attach tools and skills
Connect tools — HTTP webhooks or MCP servers — to let the agent take action in external systems. Add skills to give the agent deep, domain-specific instructions that load on-demand as the conversation requires them.
Add sub-agents (optional)
For workflows that span multiple domains, define sub-agents under an orchestrating agent. The orchestrator can transfer control to a sub-agent entirely, or delegate a task and collect the result before continuing.
Run the agent
Start a run from the chat interface, call the streaming API, or set a cron schedule for unattended execution. Every run streams events in real time and records a full routing timeline you can inspect afterward.
When to use Flows
Flows works well when you need:
- Conversational AI without building your own orchestration — the agent loop, tool dispatch, and memory management are handled for you
- Multi-agent coordination — route queries to specialized agents using transfer (one winner) or delegation (fan-out and collect)
- External integrations — call webhooks or connect MCP servers to give agents access to your systems
- Multiple LLM providers — run agents on OpenAI, Anthropic, Azure OpenAI, Azure AI Foundry, Google Gemini, or NVIDIA models, from a single interface
- Scheduled or API-triggered runs — beyond interactive chat, agents can run on a cron schedule or be invoked programmatically
New to Anter?
Start with the Quickstart — you'll have a working agent running in under ten minutes.