--- title: "agentfield vs trigger.dev" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/agent-field-agentfield-vs-triggerdotdev-trigger-dev" tools: ["agent-field-agentfield", "triggerdotdev-trigger-dev"] --- # agentfield vs trigger.dev *GraphCanon updated Aug 20, 2026* ## Verdict Pick agentfield if agent-Field/agentfield is a comprehensive toolset built in Go under the Apache-2.0 license, aiming to streamline the development lifecycle of scalable AI agents that are observably secure; pick trigger.dev if trigger.dev provides both cloud-managed and self-hosting options for deploying AI agents and workflows, with its platform built using TypeScript. [agentfield](http://www.agentfield.ai) reports 2.5k GitHub stars, 392 forks, and 74 open issues, last pushed Aug 1, 2026. [trigger.dev](https://trigger.dev/changelog) has 16k stars, 1.4k forks, and 440 open issues, last pushed Aug 19, 2026. Figures are from public GitHub metadata via [agentfield's repository](https://github.com/Agent-Field/agentfield) and [trigger.dev's repository](https://github.com/triggerdotdev/trigger.dev). | | [agentfield](/tools/agent-field-agentfield.md) | [trigger.dev](/tools/triggerdotdev-trigger-dev.md) | | --- | --- | --- | | Tagline | Build, run and scale AI agents like API and microservices | Build and deploy fully-managed AI agents and workflows | | Stars | 2,472 | 16,070 | | Forks | 392 | 1,411 | | Open issues | 74 | 440 | | Language | Go | TypeScript | | Adopt for | Agent-Field/agentfield is a comprehensive toolset built in Go under the Apache-2.0 license, aiming to streamline the development lifecycle of scalable AI agents that are observably secure. | Trigger.dev provides both cloud-managed and self-hosting options for deploying AI agents and workflows, with its platform built using TypeScript. | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | Apache-2.0 | | Categories | AI Agents | AI Agents | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [agentfield](/tools/agent-field-agentfield.md) | [trigger.dev](/tools/triggerdotdev-trigger-dev.md) | | --- | --- | --- | | Open issues (now) | 74 | 440 | | Stars delta | Unknown | +375 (30d) | | Open issues delta | Unknown | +40 (30d) | | Full report | [trust report](/tools/agent-field-agentfield/trust.md) | [trust report](/tools/triggerdotdev-trigger-dev/trust.md) | ## Decision facts: agentfield - **Adopt for:** Agent-Field/agentfield is a comprehensive toolset built in Go under the Apache-2.0 license, aiming to streamline the development lifecycle of scalable AI agents that are observably secure. ## Decision facts: trigger.dev - **Requirements:** Min 4 GB RAM; Requires Docker; Self-hosting options are provided, but require Docker Compose or Kubernetes setup knowledge. - **Adopt for:** Trigger.dev provides both cloud-managed and self-hosting options for deploying AI agents and workflows, with its platform built using TypeScript. ## Choose when ### Choose agentfield if… - agentfield is primarily Go; trigger.dev is TypeScript. - Tags unique to agentfield: agent-auth, agent-authentication, agent-scaling, agentic-ai. - When you seek to manage and scale your AI agents with robust identity awareness and auditability features from inception. ### Choose trigger.dev if… - trigger.dev is primarily TypeScript; agentfield is Go. - Requirements: Min 4 GB RAM; Requires Docker; Self-hosting options are provided, but require Docker Compose or Kubernetes setup knowledge.. - Tags unique to trigger.dev: ai-agents, automation, background-jobs, orchestration. - - **Custom Workflows**: If you need to implement complex, custom orchestrations involving different AI tasks that are well-defined and require scalability without managing infrastructure. ## When NOT to use agentfield - If your project requires heavy customization in languages other than Go as Agentfield is primarily built using Go which may limit its adaptability in polyglot environments. ## When NOT to use trigger.dev - - **Minimal AI Workloads**: If your AI usage is minimal or sporadic, you might find the overhead of setting up tasks using the SDK to be unnecessary complexity. - - **Cloud Agnosticism**: Preferring a solution that abstracts away cloud-specific configurations, as Trigger.dev’s focus on cloud-managed services and self-hosting options may require more manual work - - **Non-TypeScript Ecosystems**: If your project is predominantly in languages other than TypeScript or JavaScript, the available tooling through SDK might not align closely with existing workflows. ## Common questions ### What is the difference between agentfield and trigger.dev? agentfield: Build, run and scale AI agents like API and microservices. trigger.dev: Build and deploy fully-managed AI agents and workflows. See the comparison table for live GitHub stats and shared categories. ### When should I choose agentfield over trigger.dev? Choose agentfield over trigger.dev when agentfield is primarily Go; trigger.dev is TypeScript; Tags unique to agentfield: agent-auth, agent-authentication, agent-scaling, agentic-ai; When you seek to manage and scale your AI agents with robust identity awareness and auditability features from inception. ### When should I choose trigger.dev over agentfield? Choose trigger.dev over agentfield when trigger.dev is primarily TypeScript; agentfield is Go; Requirements: Min 4 GB RAM; Requires Docker; Self-hosting options are provided, but require Docker Compose or Kubernetes setup knowledge.; Tags unique to trigger.dev: ai-agents, automation, background-jobs, orchestration; - **Custom Workflows**: If you need to implement complex, custom orchestrations involving different AI tasks that are well-defined and require scalability without managing infrastructure. ### When should I avoid agentfield? If your project requires heavy customization in languages other than Go as Agentfield is primarily built using Go which may limit its adaptability in polyglot environments. ### When should I avoid trigger.dev? - **Minimal AI Workloads**: If your AI usage is minimal or sporadic, you might find the overhead of setting up tasks using the SDK to be unnecessary complexity. - **Cloud Agnosticism**: Preferring a solution that abstracts away cloud-specific configurations, as Trigger.dev’s focus on cloud-managed services and self-hosting options may require more manual work - **Non-TypeScript Ecosystems**: If your project is predominantly in languages other than TypeScript or JavaScript, the available tooling through SDK might not align closely with existing workflows. ### Is agentfield or trigger.dev more popular on GitHub? trigger.dev has more GitHub stars (16,070 vs 2,472). Stars measure visibility, not whether either tool fits your constraints. ### Are agentfield and trigger.dev open source? Yes - both are open-source projects on GitHub (agentfield: Apache-2.0, trigger.dev: Apache-2.0). ### Where can I find alternatives to agentfield or trigger.dev? GraphCanon lists graph-backed alternatives at [agentfield alternatives](/tools/agent-field-agentfield/alternatives) and [trigger.dev alternatives](/tools/triggerdotdev-trigger-dev/alternatives) ([agentfield markdown twin](/tools/agent-field-agentfield/alternatives.md), [trigger.dev markdown twin](/tools/triggerdotdev-trigger-dev/alternatives.md)), ranked by typed relationship edges rather than popularity votes. ### Is there a machine-readable version of this comparison? Yes. The markdown twin at [this comparison](/compare/agent-field-agentfield-vs-triggerdotdev-trigger-dev.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, agentfield or trigger.dev? agentfield: Very active. trigger.dev: Very active. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance. ### Where are the full trust reports for agentfield and trigger.dev? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [agentfield trust report](/tools/agent-field-agentfield/trust); [trigger.dev trust report](/tools/triggerdotdev-trigger-dev/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=agent-field-agentfield`](/api/graphcanon/graph?tool=agent-field-agentfield) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_