--- title: "ai-getting-started vs anything-llm" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/a16z-infra-ai-getting-started-vs-mintplex-labs-anything-llm" tools: ["a16z-infra-ai-getting-started", "mintplex-labs-anything-llm"] --- # ai-getting-started vs anything-llm *GraphCanon updated Jul 12, 2026* ## Verdict Pick ai-getting-started when ai-getting-started is primarily TypeScript; anything-llm is JavaScript; pick anything-llm when anything-llm is primarily JavaScript; ai-getting-started is TypeScript. [ai-getting-started](https://ai-getting-started.com/) reports 4.1k GitHub stars, 663 forks, and 16 open issues, last pushed Aug 21, 2024. [anything-llm](https://anythingllm.com) has 63k stars, 6.9k forks, and 320 open issues, last pushed Jul 11, 2026. Figures are from public GitHub metadata via [ai-getting-started's repository](https://github.com/a16z-infra/ai-getting-started) and [anything-llm's repository](https://github.com/Mintplex-Labs/anything-llm). | | [ai-getting-started](/tools/a16z-infra-ai-getting-started.md) | [anything-llm](/tools/mintplex-labs-anything-llm.md) | | --- | --- | --- | | Tagline | A Javascript AI getting started stack for weekend projects, including image/text models, vector stores, auth, and deployment configs | Self-hosted agent experience with deployment scripts for multiple environments | | Stars | 4,141 | 63,100 | | Forks | 663 | 6,907 | | Open issues | 16 | 320 | | Language | TypeScript | JavaScript | | Adopt for | - | Self-hosted AI agent experience with robust deployment scripts across multiple environments. | | Persona | - | - | | Runtime | - | - | | License | MIT | MIT | | Categories | Vector Databases, Inference & Serving, Computer Vision | AI Agents, Inference & Serving | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [ai-getting-started](/tools/a16z-infra-ai-getting-started.md) | [anything-llm](/tools/mintplex-labs-anything-llm.md) | | --- | --- | --- | | Maintenance | Dormant (18%) | Very active (96%) | | Days since push | 688d | 0d | | Open issues (now) | 16 | 320 | | Security scan | 31 low (31 low) | No lockfile | | Full report | [trust report](/tools/a16z-infra-ai-getting-started/trust.md) | [trust report](/tools/mintplex-labs-anything-llm/trust.md) | ## Decision facts: anything-llm - **Adopt for:** Self-hosted AI agent experience with robust deployment scripts across multiple environments. ## Choose when ### Choose ai-getting-started if… - ai-getting-started is primarily TypeScript; anything-llm is JavaScript. - Tags unique to ai-getting-started: typescript. - Also covers Vector Databases, Computer Vision. - ai-getting-started ships Docker support for self-hosted deployment. ### Choose anything-llm if… - anything-llm is primarily JavaScript; ai-getting-started is TypeScript. - Tags unique to anything-llm: no-code, llm, agentic-ai, agent-computer. - Also covers AI Agents. - When you need flexibility in deploying your AI agents on various cloud platforms like AWS, GCP, Digital Ocean, and more. ## When NOT to use ai-getting-started - Last GitHub push was 689 days ago (dormant maintenance, Aug 21, 2024). Validate activity before betting a new project on ai-getting-started. - Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate. - Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic. ## When NOT to use anything-llm - Avoid if you require an agent without additional setup or prefer SaaS solutions over self-managed deployments. - Not suitable for users who are looking for no-code alternatives as setting up AnythingLLM might necessitate some coding knowledge despite offering multiple scripts and methods. ## Common questions ### What is the difference between ai-getting-started and anything-llm? ai-getting-started: A Javascript AI getting started stack for weekend projects, including image/text models, vector stores, auth, and deployment configs. anything-llm: Self-hosted agent experience with deployment scripts for multiple environments. See the comparison table for live GitHub stats and shared categories. ### When should I choose ai-getting-started over anything-llm? Choose ai-getting-started over anything-llm when ai-getting-started is primarily TypeScript; anything-llm is JavaScript; Tags unique to ai-getting-started: typescript; Also covers Vector Databases, Computer Vision; ai-getting-started ships Docker support for self-hosted deployment. ### When should I choose anything-llm over ai-getting-started? Choose anything-llm over ai-getting-started when anything-llm is primarily JavaScript; ai-getting-started is TypeScript; Tags unique to anything-llm: no-code, llm, agentic-ai, agent-computer; Also covers AI Agents; When you need flexibility in deploying your AI agents on various cloud platforms like AWS, GCP, Digital Ocean, and more. ### When should I avoid ai-getting-started? Last GitHub push was 689 days ago (dormant maintenance, Aug 21, 2024). Validate activity before betting a new project on ai-getting-started. Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate. Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic. ### When should I avoid anything-llm? Avoid if you require an agent without additional setup or prefer SaaS solutions over self-managed deployments. Not suitable for users who are looking for no-code alternatives as setting up AnythingLLM might necessitate some coding knowledge despite offering multiple scripts and methods. ### Is ai-getting-started or anything-llm more popular on GitHub? anything-llm has more GitHub stars (63,100 vs 4,141). Stars measure visibility, not whether either tool fits your constraints. ### Are ai-getting-started and anything-llm open source? Yes - both are open-source projects on GitHub (ai-getting-started: MIT, anything-llm: MIT). ### Where can I find alternatives to ai-getting-started or anything-llm? GraphCanon lists graph-backed alternatives at [ai-getting-started alternatives](/tools/a16z-infra-ai-getting-started/alternatives) and [anything-llm alternatives](/tools/mintplex-labs-anything-llm/alternatives) ([ai-getting-started markdown twin](/tools/a16z-infra-ai-getting-started/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/a16z-infra-ai-getting-started-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, ai-getting-started or anything-llm? ai-getting-started: Dormant. 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 ai-getting-started and anything-llm? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [ai-getting-started trust report](/tools/a16z-infra-ai-getting-started/trust); [anything-llm trust report](/tools/mintplex-labs-anything-llm/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=a16z-infra-ai-getting-started`](/api/graphcanon/graph?tool=a16z-infra-ai-getting-started) - 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/_