--- title: "awesome-prompts vs anything-llm" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/ai-boost-awesome-prompts-vs-mintplex-labs-anything-llm" tools: ["ai-boost-awesome-prompts", "mintplex-labs-anything-llm"] --- # awesome-prompts vs anything-llm *GraphCanon updated Sep 20, 2026* ## Verdict Pick awesome-prompts if awesome-prompts is a collection of rated GPT prompts from the GPTs Store with a focus on engineering, attacks, protections, and academic papers; 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. [awesome-prompts](https://awesomegpt.vip) reports 8.9k GitHub stars, 867 forks, and 37 open issues, last pushed Sep 19, 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 [awesome-prompts's repository](https://github.com/ai-boost/awesome-prompts) and [anything-llm's repository](https://github.com/Mintplex-Labs/anything-llm). | | [awesome-prompts](/tools/ai-boost-awesome-prompts.md) | [anything-llm](/tools/mintplex-labs-anything-llm.md) | | --- | --- | --- | | Tagline | Curated chatgpt prompts and advanced prompt engineering papers | Self-hosted AI agent experience | | Stars | 8,910 | 66,167 | | Forks | 867 | 7,349 | | Open issues | 37 | 315 | | Language | - | JavaScript | | Adopt for | awesome-prompts is a collection of rated GPT prompts from the GPTs Store with a focus on engineering, attacks, protections, and academic papers. | 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 | GPL-3.0 | 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._ | | [awesome-prompts](/tools/ai-boost-awesome-prompts.md) | [anything-llm](/tools/mintplex-labs-anything-llm.md) | | --- | --- | --- | | Open issues (now) | 37 | 315 | | Stars delta | +470 (30d) | +1.5k (30d) | | Open issues delta | +2 (30d) | -4 (30d) | | Owner type | User | Organization | | Full report | [trust report](/tools/ai-boost-awesome-prompts/trust.md) | [trust report](/tools/mintplex-labs-anything-llm/trust.md) | ## Decision facts: awesome-prompts - **Adopt for:** awesome-prompts is a collection of rated GPT prompts from the GPTs Store with a focus on engineering, attacks, protections, and academic papers. ## 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 awesome-prompts if… - License: awesome-prompts is GPL-3.0, anything-llm is MIT. - Tags unique to awesome-prompts: awesome-list, chatgpt, prompt-attack, prompt-engineering. - Need detailed prompt engineering resources ### Choose anything-llm if… - License: anything-llm is MIT, awesome-prompts is GPL-3.0. - 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 awesome-prompts - Seeking a platform for generating new prompts rather than reviewing existing ones - In search of direct support tools or services, not just informational content - Requiring real-time collaboration on prompt creation and experimentation ## 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 awesome-prompts and anything-llm? awesome-prompts: Curated chatgpt prompts and advanced prompt engineering papers. anything-llm: Self-hosted AI agent experience. See the comparison table for live GitHub stats and shared categories. ### When should I choose awesome-prompts over anything-llm? Choose awesome-prompts over anything-llm when License: awesome-prompts is GPL-3.0, anything-llm is MIT; Tags unique to awesome-prompts: awesome-list, chatgpt, prompt-attack, prompt-engineering; Need detailed prompt engineering resources. ### When should I choose anything-llm over awesome-prompts? Choose anything-llm over awesome-prompts when License: anything-llm is MIT, awesome-prompts is GPL-3.0; 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 awesome-prompts? Seeking a platform for generating new prompts rather than reviewing existing ones In search of direct support tools or services, not just informational content Requiring real-time collaboration on prompt creation and experimentation ### 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 awesome-prompts or anything-llm more popular on GitHub? anything-llm has more GitHub stars (66,167 vs 8,910). Stars measure visibility, not whether either tool fits your constraints. ### Are awesome-prompts and anything-llm open source? Yes - both are open-source projects on GitHub (awesome-prompts: GPL-3.0, anything-llm: MIT). ### Where can I find alternatives to awesome-prompts or anything-llm? GraphCanon lists graph-backed alternatives at [awesome-prompts alternatives](/tools/ai-boost-awesome-prompts/alternatives) and [anything-llm alternatives](/tools/mintplex-labs-anything-llm/alternatives) ([awesome-prompts markdown twin](/tools/ai-boost-awesome-prompts/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/ai-boost-awesome-prompts-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, awesome-prompts or anything-llm? awesome-prompts: Very active. 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 awesome-prompts and anything-llm? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [awesome-prompts trust report](/tools/ai-boost-awesome-prompts/trust); [anything-llm trust report](/tools/mintplex-labs-anything-llm/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=ai-boost-awesome-prompts`](/api/graphcanon/graph?tool=ai-boost-awesome-prompts) - 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/_