--- title: "dockest vs anything-llm" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/erikengervall-dockest-vs-mintplex-labs-anything-llm" tools: ["erikengervall-dockest", "mintplex-labs-anything-llm"] --- # dockest vs anything-llm *GraphCanon updated Sep 25, 2026* ## Verdict Pick dockest if dockest integrates Docker and Jest for setting up and tearing down containers during Node.js application testing; pick anything-llm if anything-llm is a self-hosted AI agent platform that supports multiple deployment methods, including Docker and cloud services, making it suitable for users who prefer local control over their AI workflows. [dockest](https://npmjs.com/package/dockest) reports 110 GitHub stars, 17 forks, and 50 open issues, last pushed Feb 16, 2026. [anything-llm](https://anythingllm.com) has 66k stars, 7.3k forks, and 315 open issues, last pushed Sep 17, 2026. Figures are from public GitHub metadata via [dockest's repository](https://github.com/erikengervall/dockest) and [anything-llm's repository](https://github.com/Mintplex-Labs/anything-llm). | | [dockest](/tools/erikengervall-dockest.md) | [anything-llm](/tools/mintplex-labs-anything-llm.md) | | --- | --- | --- | | Tagline | Docker + Jest integration testing for Node.js | Self-hosted AI agent experience | | Stars | 110 | 66,167 | | Forks | 17 | 7,349 | | Open issues | 50 | 315 | | Language | TypeScript | JavaScript | | Adopt for | Dockest integrates Docker and Jest for setting up and tearing down containers during Node.js application testing. | anything-llm is a self-hosted AI agent platform that supports multiple deployment methods, including Docker and cloud services, making it suitable for users who prefer local control over their AI workflows. | | Persona | - | - | | Runtime | - | - | | License | MIT | MIT License, allowing for free use, modification, and distribution. | | Categories | Developer Tools | AI Agents, Developer Tools, Inference & Serving | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [dockest](/tools/erikengervall-dockest.md) | [anything-llm](/tools/mintplex-labs-anything-llm.md) | | --- | --- | --- | | Maintenance | Slowing (36%) | Very active (96%) | | Days since push | 220d | 0d | | Open issues (now) | 50 | 315 | | Stars delta | 0 (30d) | +1.5k (30d) | | Open issues delta | 0 (30d) | -4 (30d) | | Owner type | User | Organization | | Full report | [trust report](/tools/erikengervall-dockest/trust.md) | [trust report](/tools/mintplex-labs-anything-llm/trust.md) | ## Decision facts: dockest - **Adopt for:** Dockest integrates Docker and Jest for setting up and tearing down containers during Node.js application testing. ## Decision facts: anything-llm - **Pricing:** freemium - Free to use under the MIT License, but users may incur costs based on their chosen deployment method and infrastructure. - **Requirements:** Min 4 GB RAM; Requires Docker; Requires a local environment setup or a cloud service account for deployment. - **Adopt for:** anything-llm is a self-hosted AI agent platform that supports multiple deployment methods, including Docker and cloud services, making it suitable for users who prefer local control over their AI workflows. - **License detail:** MIT License, allowing for free use, modification, and distribution. ## Choose when ### Choose dockest if… - dockest is primarily TypeScript; anything-llm is JavaScript. - Tags unique to dockest: docker, hacktoberfest, integration-testing, jest. - You are using Jest v20.0.0 or higher in your project and want to perform integration tests involving Dockerized services, such as Redis or PostgreSQL. ### Choose anything-llm if… - anything-llm is primarily JavaScript; dockest is TypeScript. - Pricing: Free to use under the MIT License, but users may incur costs based on their chosen deployment method and infrastructure.. - Requirements: Min 4 GB RAM; Requires Docker; Requires a local environment setup or a cloud service account for deployment.. - Tags unique to anything-llm: agent-computer, agent-harness, agent-orchestration, agentic-ai. - Also covers AI Agents, Inference & Serving. - When you need a local-first AI agent experience that you can fully control and customize. ## When NOT to use dockest - You are using Jest versions prior to v20.0.0 as Dockest is incompatible with older releases. - Your project does not require microservices setup for testing and solely relies on unit tests without environmental dependencies provided by Docker services. ## When NOT to use anything-llm - If you require a cloud-based solution with minimal setup and maintenance, as anything-llm requires self-hosting and local management. - When you need a platform that does not offer extensive deployment flexibility, as anything-llm provides multiple deployment options which might be overwhelming for users seeking simplicity. ## Common questions ### What is the difference between dockest and anything-llm? dockest: Docker + Jest integration testing for Node.js. anything-llm: Self-hosted AI agent experience. See the comparison table for live GitHub stats and shared categories. ### When should I choose dockest over anything-llm? Choose dockest over anything-llm when dockest is primarily TypeScript; anything-llm is JavaScript; Tags unique to dockest: docker, hacktoberfest, integration-testing, jest; You are using Jest v20.0.0 or higher in your project and want to perform integration tests involving Dockerized services, such as Redis or PostgreSQL. ### When should I choose anything-llm over dockest? Choose anything-llm over dockest when anything-llm is primarily JavaScript; dockest is TypeScript; Pricing: Free to use under the MIT License, but users may incur costs based on their chosen deployment method and infrastructure.; Requirements: Min 4 GB RAM; Requires Docker; Requires a local environment setup or a cloud service account for deployment.; Tags unique to anything-llm: agent-computer, agent-harness, agent-orchestration, agentic-ai; Also covers AI Agents, Inference & Serving; When you need a local-first AI agent experience that you can fully control and customize. ### When should I avoid dockest? You are using Jest versions prior to v20.0.0 as Dockest is incompatible with older releases. Your project does not require microservices setup for testing and solely relies on unit tests without environmental dependencies provided by Docker services. ### When should I avoid anything-llm? If you require a cloud-based solution with minimal setup and maintenance, as anything-llm requires self-hosting and local management. When you need a platform that does not offer extensive deployment flexibility, as anything-llm provides multiple deployment options which might be overwhelming for users seeking simplicity. ### Is dockest or anything-llm more popular on GitHub? anything-llm has more GitHub stars (66,167 vs 110). Stars measure visibility, not whether either tool fits your constraints. ### Are dockest and anything-llm open source? Yes - both are open-source projects on GitHub (dockest: MIT, anything-llm: MIT). ### Where can I find alternatives to dockest or anything-llm? GraphCanon lists graph-backed alternatives at [dockest alternatives](/tools/erikengervall-dockest/alternatives) and [anything-llm alternatives](/tools/mintplex-labs-anything-llm/alternatives) ([dockest markdown twin](/tools/erikengervall-dockest/alternatives.md), [anything-llm markdown twin](/tools/mintplex-labs-anything-llm/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/erikengervall-dockest-vs-mintplex-labs-anything-llm.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, dockest or anything-llm? dockest: Slowing. anything-llm: 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 dockest and anything-llm? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [dockest trust report](/tools/erikengervall-dockest/trust); [anything-llm trust report](/tools/mintplex-labs-anything-llm/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=erikengervall-dockest`](/api/graphcanon/graph?tool=erikengervall-dockest) - 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/_