
Open-source TypeScript framework for building and deploying configurable, provider-independent AI agents.
AgentDock is an open-source, backend-first framework for building AI agents in TypeScript. The project is designed to be framework-agnostic and provider-independent, with a reference Next.js client that demonstrates how to consume AgentDock Core. It focuses on extensibility, simplicity, and configurable determinism for teams that want more control over agent behavior and deployment.
Product overview
AgentDock is useful for developers who want a code-first foundation for building AI agents rather than a closed hosted agent builder. Its official repository describes AgentDock Core as an open-source, backend-first framework that is framework-agnostic and provider-independent, plus a Next.js reference client available through AgentDock Hub.
Information as of August 24, 2026
AgentDock Core is described as an open-source, backend-first framework for building and deploying AI agents.[1]
The project states that AgentDock Core is designed to be framework-agnostic, giving developers control over how agents are implemented.[1]
The official repository describes AgentDock as provider-independent, which supports building agents without tying the implementation to a single model provider.[1]
AgentDock emphasizes configurable determinism for building more reliable and predictable AI systems that can operate with minimal supervision.[1]
The repository includes an open-source client described as a complete Next.js application and reference implementation for AgentDock Core.[1]
AgentDock is available as an open-source GitHub project under an MIT license in the supplied official context. The future AgentDock Pro cloud platform is described as coming soon, with early-access sign-up and free platform credits mentioned, but no public paid pricing is provided in the supplied context.[1]
Platforms: GitHub, Next.js reference client, Web demo[1]
Access: Self-hosted open-source repository, Reference web client at AgentDock Hub[1]
76/100
Our subjective rating of how independently the product carries out its documented tasks, considering the human setup, input, approval and review it needs. This is not a measured success rate.
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