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Fastn is an AI infrastructure platform that connects AI agents to the tools they need through a single endpoint. Instead of building and maintaining a separate integration for every service an agent touches, Fastn routes connectors like Slack, Notion, Gmail, and custom APIs through one MCP-based gateway, handling authentication and workflow orchestration along the way. Key capabilities:
Unified gateway โ one Model Context Protocol endpoint exposes your whole toolset to any agent Full integration lifecycle โ AI agents build, test, and keep connectors running as upstream APIs change Workflow orchestration โ chain multi-step automations across connected tools Built-in auth โ OAuth and credential handling managed for you Embeddable โ let your own customers configure their integrations inside your product Enterprise-ready โ SOC 2 Type II, role-based access, SSO/SAML, and configurable data residency at scale
Fastn is priced by connected customer accounts rather than by connector count, so cost tracks the customers you actually serve.
fastn.ai Trigger.devfastn.ai's answer
Fastn treats the entire integration lifecycle as something AI agents handle, not engineers. Rather than building and maintaining a connector for every tool an AI agent needs, fastn exposes connectors like Slack, Notion, Gmail, and custom APIs through a single MCP-based gateway, with authentication and workflow orchestration built in. Its agents don't just build integrations, they test and keep them running as upstream APIs change. Pricing is based on connected customer accounts rather than connector count, so cost tracks the customers served, not the integrations maintained.
fastn.ai's answer
Most integration tools leave you with a backlog: every new connector is an engineering ticket, and breakages become maintenance work. Fastn shifts that to AI agents that build, test, and proactively maintain connections, adapting before APIs break rather than after. The single-endpoint MCP gateway means an agent gains access to a whole toolset without per-connector plumbing, and the embeddable model lets software companies offer self-serve integrations inside their own products. For teams building AI agents and automations, that means less time on glue code and faster validation of new use cases.
fastn.ai's answer
Fastn is built for developers and product teams building AI agents, automations, and agentic applications, particularly software companies that want to offer customer-facing integrations inside their own products without growing an integrations engineering team. It serves both individual builders prototyping agentic systems and larger organizations that need enterprise-grade security, monitoring, and scale.
Found the embedding feature easy to use with a simple URL add on, didnt need to focus so much on building an entire layer
Based on our record, Trigger.dev seems to be more popular. It has been mentiond 19 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
We run a large TypeScript monorepo at Trigger.dev. PostgreSQL, Redis, ClickHouse, a Remix web app, multiple internal packages. When we tried worktrees for parallel Claude Code sessions, we spent more time on setup than shipping code. - Source: dev.to / 4 months ago
Cloudflare, Azure, and Vercel are offering Durable Workflows. But also businesses like Temporal.io and Inngest build their business around them. Trigger.dev is an open source library for TypeScript apps (I am a fan ๐) that also offers a nice UI for them. - Source: dev.to / 8 months ago
We built an execution engine ourselves https://github.com/simstudioai/sim/tree/main/apps/sim/executor and for the infra for background jobs, we use https://trigger.dev/. - Source: Hacker News / 9 months ago
Hi HN, Iโm Eric, CTO at Trigger.dev (https://trigger.dev). We provide everything needed to create production-grade agents in your codebase and deploy, run, monitor, and debug them. You can use just our primitives or combine with tools like Mastra, LangChain and Vercel AI SDK. You can self-host or use our cloud, where we take care of scaling for you. Hereโs a quick demo: (https://youtu.be/kFCzKE89LD8). We started... - Source: Hacker News / 12 months ago
After evaluating several workflow orchestration tools, we chose Trigger.dev for three key reasons:. - Source: dev.to / about 1 year ago
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