MCP اور ٹول کالنگ

trigger.dev

triggerdotdev/trigger.dev

An open-source platform for building and deploying fully-managed AI agents and workflows in TypeScript, featuring long-running tasks, retries, queues, observability, and elastic scaling.

★ 15.9Kستارے
⑂ 1.4Kفورکس
414کھلے مسائل
TypeScriptزبان
Apache-2.0لائسنس
Q98ادارتی اسکور

پروجیکٹ کے اسکرین شاٹس

trigger.dev کا اسکرین شاٹ trigger.dev کا اسکرین شاٹ trigger.dev کا اسکرین شاٹ trigger.dev کا اسکرین شاٹ trigger.dev کا اسکرین شاٹ trigger.dev کا اسکرین شاٹ

جائزہ

Trigger.dev is an open-source platform designed to build AI workflows and agents using TypeScript. It addresses common serverless limitations like timeouts by providing a durable execution environment with built-in retries, queues, and checkpointing. Users write tasks directly in their existing codebase, which are then deployed to Trigger.dev's auto-scaling infrastructure or self-hosted environments. The platform provides comprehensive observability, tracing, and real-time streaming capabilities, allowing developers to manage long-running, resource-heavy operations seamlessly.

اہم خصوصیات

  • Long-running tasks without timeouts
  • Durable execution with automatic retries and checkpointing
  • TypeScript/JavaScript SDK
  • Human-in-the-loop waitpoints
  • Real-time run subscriptions and LLM streaming
  • Elastic scaling with no infrastructure management
  • Comprehensive observability, logging, and tracing
  • True runtime freedom (system packages, Python scripts, FFmpeg, browsers)
  • Durable cron schedules
  • Concurrency and queue management
  • Multiple environments (Dev, Staging, Preview, Prod)
  • Atomic versioning and preview branches

ضروریات، انسٹالیشن اور فوری آغاز

Install the Trigger.dev SDK in your project using npm: `npm install @trigger.dev/sdk`

استعمال

Import the `task` function from `@trigger.dev/sdk`, define a unique ID, and implement the run function with your payload. Export the task to register it with the platform. Deploy using the Trigger.dev CLI or integrate via the web app onboarding process.

ماڈل کی مطابقت اور استعمال کے مواقع

Not stated in the repository metadata

لائسنس اور خطرے سے متعلق نوٹس

Apache-2.0

Editorial verification 2026-08-09: repository URL, owner, description, license and repository statistics were reviewed. License metadata: Apache-2.0. README was fetched for the channel draft; re-check repository dependencies, releases and model terms before production use.

ریلیز اور دیکھ بھال

Not stated in the repository metadata

MemPalace

mempalace/mempalace

★ 58KPython

litellm

berriai/litellm

★ 56.8KPython

QwenPaw

agentscope-ai/qwenpaw

★ 33.9KPython