--- title: "promptsource vs anything-llm" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/bigscience-workshop-promptsource-vs-mintplex-labs-anything-llm" tools: ["bigscience-workshop-promptsource", "mintplex-labs-anything-llm"] --- # promptsource vs anything-llm *GraphCanon updated Sep 20, 2026* ## Verdict Pick promptsource if promptSource aids in creating, sharing, and using natural language prompts for large language models; 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. [promptsource](https://github.com/bigscience-workshop/promptsource) reports 3.0k GitHub stars, 375 forks, and 43 open issues, last pushed Oct 23, 2023. [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 [promptsource's repository](https://github.com/bigscience-workshop/promptsource) and [anything-llm's repository](https://github.com/Mintplex-Labs/anything-llm). | | [promptsource](/tools/bigscience-workshop-promptsource.md) | [anything-llm](/tools/mintplex-labs-anything-llm.md) | | --- | --- | --- | | Tagline | Toolkit for creating, sharing and using natural language prompts | Self-hosted AI agent experience | | Stars | 3,034 | 66,167 | | Forks | 375 | 7,349 | | Open issues | 43 | 315 | | Language | Python | JavaScript | | Adopt for | PromptSource aids in creating, sharing, and using natural language prompts for large language models. | 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 | Apache-2.0 | MIT License, allowing for free use, modification, and distribution. | | Categories | Developer Tools, Model Training | AI Agents, Developer Tools, Inference & Serving | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [promptsource](/tools/bigscience-workshop-promptsource.md) | [anything-llm](/tools/mintplex-labs-anything-llm.md) | | --- | --- | --- | | Maintenance | Dormant (18%) | Very active (96%) | | Days since push | 1062d | 0d | | Open issues (now) | 43 | 315 | | Stars delta | +5 (30d) | +1.5k (30d) | | Open issues delta | 0 (30d) | -4 (30d) | | Full report | [trust report](/tools/bigscience-workshop-promptsource/trust.md) | [trust report](/tools/mintplex-labs-anything-llm/trust.md) | ## Decision facts: promptsource - **Adopt for:** PromptSource aids in creating, sharing, and using natural language prompts for large language models. ## 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 promptsource if… - promptsource is primarily Python; anything-llm is JavaScript. - License: promptsource is Apache-2.0, anything-llm is MIT. - Tags unique to promptsource: few-shot, fine-tuning, language models, machine-learning. - Also covers Model Training. - When you need to create reusable prompts for multiple datasets with a focus on simplicity through a templating language called Jinja. ### Choose anything-llm if… - anything-llm is primarily JavaScript; promptsource is Python. - License: anything-llm is MIT, promptsource is Apache-2.0. - 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 promptsource - Avoid if you require complex prompt customization beyond what simple templating can offer, as PromptSource is not designed for intricate configurations. - Not suitable for users focused on real-time interaction with prompts, since it lacks dynamic features for immediate adjustments. ## 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 promptsource and anything-llm? promptsource: Toolkit for creating, sharing and using natural language prompts. anything-llm: Self-hosted AI agent experience. See the comparison table for live GitHub stats and shared categories. ### When should I choose promptsource over anything-llm? Choose promptsource over anything-llm when promptsource is primarily Python; anything-llm is JavaScript; License: promptsource is Apache-2.0, anything-llm is MIT; Tags unique to promptsource: few-shot, fine-tuning, language models, machine-learning; Also covers Model Training; When you need to create reusable prompts for multiple datasets with a focus on simplicity through a templating language called Jinja. ### When should I choose anything-llm over promptsource? Choose anything-llm over promptsource when anything-llm is primarily JavaScript; promptsource is Python; License: anything-llm is MIT, promptsource is Apache-2.0; 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 promptsource? Avoid if you require complex prompt customization beyond what simple templating can offer, as PromptSource is not designed for intricate configurations. Not suitable for users focused on real-time interaction with prompts, since it lacks dynamic features for immediate adjustments. ### 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 promptsource or anything-llm more popular on GitHub? anything-llm has more GitHub stars (66,167 vs 3,034). Stars measure visibility, not whether either tool fits your constraints. ### Are promptsource and anything-llm open source? Yes - both are open-source projects on GitHub (promptsource: Apache-2.0, anything-llm: MIT). ### Where can I find alternatives to promptsource or anything-llm? GraphCanon lists graph-backed alternatives at [promptsource alternatives](/tools/bigscience-workshop-promptsource/alternatives) and [anything-llm alternatives](/tools/mintplex-labs-anything-llm/alternatives) ([promptsource markdown twin](/tools/bigscience-workshop-promptsource/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/bigscience-workshop-promptsource-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, promptsource or anything-llm? promptsource: 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 promptsource and anything-llm? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [promptsource trust report](/tools/bigscience-workshop-promptsource/trust); [anything-llm trust report](/tools/mintplex-labs-anything-llm/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=bigscience-workshop-promptsource`](/api/graphcanon/graph?tool=bigscience-workshop-promptsource) - 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/_