AgentPort vs Trigger.dev: Which is Better in 2026?
A comprehensive comparison of AgentPort and Trigger.dev covering features, pricing, use cases, and which tool is the right choice for your needs.
⚡ Quick Verdict
Choose AgentPort if:
- →You need mcp server and cli entry points for any agent or dozens of built-in connectors including linear, slack, github, notion and stripe
Choose Trigger.dev if:
- →You want more affordable paid plans (from $10/mo)
- →You need long-running typescript tasks with durable retries and queues or concurrency controls and elastic scaling
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AgentPort vs Trigger.dev: At a Glance
Pricing Comparison: AgentPort vs Trigger.dev
Understanding the pricing differences between AgentPort and Trigger.dev is crucial for making the right choice. Here's how their plans compare side by side.
Trigger.dev Pricing
💡 Pricing takeaway: Both AgentPort and Trigger.dev offer free tiers, making it easy to try before you buy. Compare the specific plans to find the best value for your use case.
Feature-by-Feature Comparison
Here's how every feature from AgentPort and Trigger.dev stacks up.
What Makes Each Tool Unique
🔵 Unique to AgentPort
Features available in AgentPort but not in Trigger.dev:
- ✓MCP server and CLI entry points for any agent
- ✓Dozens of built-in connectors including Linear, Slack, GitHub, Notion and Stripe
- ✓Per-tool allow, deny and human-approval policies
- ✓Advanced rule-based filtering on individual tool calls
- ✓Complete audit logs of every tool call and approval chain
- ✓Open source and self-hostable, with a managed cloud in beta
🟣 Unique to Trigger.dev
Features available in Trigger.dev but not in AgentPort:
- ✓Long-running TypeScript tasks with durable retries and queues
- ✓Concurrency controls and elastic scaling
- ✓Durable cron scheduling without timeouts
- ✓Realtime streaming from tasks to a frontend
- ✓Official MCP server with agent chat and prompt management
- ✓Open source and self-hostable
Use Case Recommendations
Best for: AgentPort
AgentPort is an open-source security gateway that sits between AI agents and the tools they call, so an agent's access to production systems is governed by policy rather than by whichever API keys happened to end up in its environment. Agents connect through either an MCP server or a CLI, and from there reach Linear, Slack, GitHub, Notion, Stripe and dozens of other connectors that ship out of the box, plus any additional MCP server or REST API you point it at. The control layer is where the value sits: you define which tools a given agent may call outright, which require a human approval before execution, and — for the more cautious — advanced rule-based filtering that can gate on the shape of the call rather than just its name. Every tool call and every approval chain is written to an audit log, which turns an agent's behaviour from something you infer from outcomes into something you can read after the fact. This is the missing piece in most agent deployments: the agent framework decides what to attempt and the credential decides what is possible, with nothing in between. Deployment is either self-hosted from the open-source repository on your own infrastructure, or a managed cloud service currently in beta. AgentPort is built by Skald Labs, based in San Francisco.
Ideal use cases:
- •Teams or individuals who need mcp server and cli entry points for any agent
- •Teams or individuals who need dozens of built-in connectors including linear, slack, github, notion and stripe
- •Teams or individuals who need per-tool allow, deny and human-approval policies
- •Teams or individuals who need advanced rule-based filtering on individual tool calls
- •Anyone focused on agents workflows
- •Anyone focused on mcp workflows
Best for: Trigger.dev
Trigger.dev is an open-source platform for writing long-running AI agents and background workflows in TypeScript and running them as fully managed infrastructure. The problem it exists to solve is the one every serverless deployment hits the moment an agent gets interesting: a task that needs to run for ten minutes, retry a flaky model call, fan out to a hundred sub-tasks and survive a redeploy does not fit a request-response timeout. Tasks are ordinary TypeScript functions with durable execution around them — retries, queues, concurrency limits and elastic scaling are configuration, not code you write. Scheduled tasks give durable cron without timeouts. Realtime connects a frontend directly to a running task so a UI can stream progress rather than poll. Observability and tracing are first-class, with custom dashboards, log retention and alert destinations tiered by plan. The team ships an official MCP server, which as of the current changelog carries agent chat, prompt management and reports, so the platform is drivable from a coding agent as well as from code. It is genuinely open source and self-hostable, with a documented self-hosting guide, and the cloud plans are a convenience layer over that rather than the only way to run it. Cal.com's booking engine is the reference deployment. The pricing model is credits plus concurrency, which maps cleanly onto how agent workloads actually consume resources.
Ideal use cases:
- •Teams or individuals who need long-running typescript tasks with durable retries and queues
- •Teams or individuals who need concurrency controls and elastic scaling
- •Teams or individuals who need durable cron scheduling without timeouts
- •Teams or individuals who need realtime streaming from tasks to a frontend
- •Anyone focused on typescript workflows
- •Anyone focused on background-jobs workflows
🤖 Other AI Agent Infrastructure Tools to Consider
AgentPort and Trigger.dev aren't the only options. Here are other popular tools in the same space:
SuperAGI
Open-source autonomous AI agent framework with visual dashboard — 14K GitHub stars
MetaGPT
Multi-agent AI framework simulating software teams — 45K GitHub stars, builds full apps from prompts
Cerebras
Fastest LLM inference powered by the Wafer Scale Engine.
Scale AI
AI data platform for training data and model evaluation.
Roboflow
End-to-end computer vision platform for developers.
Labelbox
Enterprise data labeling platform for ML training datasets.
Is one of these your tool?
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Frequently Asked Questions
Is AgentPort better than Trigger.dev?
It depends on your needs. AgentPort offers 6 key features including MCP server and CLI entry points for any agent and Dozens of built-in connectors including Linear, Slack, GitHub, Notion and Stripe, while Trigger.dev provides 6 features including Long-running TypeScript tasks with durable retries and queues and Concurrency controls and elastic scaling. AgentPort uses a freemium model with a free tier, while Trigger.dev is freemium with free access available. Choose based on which features and pricing model align with your requirements.
Is AgentPort cheaper than Trigger.dev?
Trigger.dev is cheaper, starting at $10/month compared to AgentPort's $12/month. Both tools offer free tiers, so you can try each before committing. Always check the official websites for the most current pricing.
Can I use AgentPort and Trigger.dev together?
Yes, many users combine AgentPort and Trigger.dev in their workflow. AgentPort excels at mcp server and cli entry points for any agent, while Trigger.dev shines with long-running typescript tasks with durable retries and queues. Using both allows you to leverage the strengths of each tool, though this means managing two subscriptions — though free tiers can help manage costs.
What's the main difference between AgentPort and Trigger.dev?
While both are ai agent infrastructure tools, AgentPort emphasizes mcp server and cli entry points for any agent, whereas Trigger.dev is known for long-running typescript tasks with durable retries and queues. The best choice depends on your specific workflow and feature priorities.
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