Deploy AI Agents
at Enterprise Scale
Stop building infrastructure. Start shipping agents. Connic handles deployment, scaling, and integrations so you can focus on what matters: building intelligent systems.
1version: "1.0"23name: support-agent4model: gemini-2.5-pro5description: "Customer support AI"67system_prompt: | 8 You are a helpful support agent.9 Use tools to look up orders and10 resolve customer issues quickly.1112tools: 13 - orders.lookup14 - orders.refund15 - tickets.createEverything you need to ship agents
From development to production, Connic provides the complete infrastructure for building intelligent systems at scale.
Define in Minutes
Write agents in YAML. Add custom tools with Python functions. No frameworks to learn, no boilerplate to write.
Integrate Anywhere
Connect agents to your existing systems with zero effort. Webhooks, message queues, scheduled jobs: all built-in.
Monitor Everything
Full observability out of the box. Track runs, inspect traces, measure token usage, and debug with confidence.
Remember Forever
Give agents long-term memory. Upload docs, paste text. Semantic search built-in. No vector database to configure.
Deploy Instantly
Push to Git, agents deploy automatically. Every deployment is versioned. Roll back anytime with a single click.
From code to production in minutes
A streamlined workflow that gets out of your way
Your Code
Agent Configuration + Python Tools
Connic Composer SDK
Validates & packages agents
Connic Platform
Deploys, runs, and monitors your agents
Deployments
Git-based workflow
Execution
Isolated containers
Observability
Runs & traces
Connectors
Bridge between agents and the outside world
Inbound
Trigger agents
Outbound
Deliver results
Sync
Request-response
name: assistant model: gemini/gemini-2.5-pro system_prompt: | You are a helpful assistant. tools: - search.web - database.query
async def web(query: str) -> dict:
"""Search the web for info."""
results = await fetch_search(query)
return {
"results": results[:5],
"query": query
}Define. Push. Deploy. It's that simple.
Bridge your agents to any system
Connectors handle the complexity of integrating with external systems. Trigger agents from anywhere, deliver results everywhere.
Inbound
Trigger agents from external events. Fire-and-forget for async processing.
Use cases
Outbound
Deliver agent results to external destinations automatically.
Use cases
Sync
Request-response pattern. Wait for the agent and get results immediately.
Use cases
Webhooks, scheduled jobs, message queues - all ready to use.
Set up your first connectorFrequently Asked Questions
Everything you need to know about deploying AI agents with Connic
Connic is an enterprise-grade platform for deploying and managing AI agents. You define agents in YAML, write custom tools in Python, and push to Git. Connic handles all infrastructure: deployment, scaling, monitoring, and integrations. No DevOps expertise required.
No. Connic abstracts away all infrastructure complexity. Any developer who can write YAML and Python can deploy production AI agents. There's no Docker, Kubernetes, or CI/CD configuration to manage.
Connectors bridge your agents to external systems. Inbound connectors trigger agents from webhooks, scheduled jobs, or message queues. Outbound connectors deliver results to APIs or services. Sync connectors enable real-time request-response patterns. All configured in the dashboard, no code required.
Connic supports all major LLM providers, including OpenAI, Anthropic (Claude), Google (Gemini), and many more. You can switch models by changing one line in your agent configuration.
Pricing is based on agent run time (minutes) and number of runs. Start free with generous limits. Paid plans include more capacity and features. Only pay for what you use beyond your included allowance. No hidden fees.
Yes! The Knowledge Base feature lets you upload documents, paste text, or programmatically store information. Your agents can then query this knowledge using semantic search. No vector database setup required.
Connic provides built-in observability: run history, execution traces, token usage tracking, and real-time status updates. Click on any run to see exactly what happened, step by step. No additional monitoring tools needed.
Yes! The free tier includes generous usage limits to get you started. No credit card required. Upgrade anytime as your needs grow.