--- title: "anything-llm vs shell_gpt" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/mintplex-labs-anything-llm-vs-ther1d-shell-gpt" tools: ["mintplex-labs-anything-llm", "ther1d-shell-gpt"] --- # anything-llm vs shell_gpt *GraphCanon updated Sep 20, 2026* ## Verdict 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; pick shell_gpt if shellGPT is an AI-driven CLI utility using LLMs for task efficiency with OpenAI support. [anything-llm](https://anythingllm.com) reports 66k GitHub stars, 7.3k forks, and 315 open issues, last pushed Sep 17, 2026. [shell_gpt](https://github.com/TheR1D/shell_gpt) has 12k stars, 977 forks, and 121 open issues, last pushed Jul 2, 2026. Figures are from public GitHub metadata via [anything-llm's repository](https://github.com/Mintplex-Labs/anything-llm) and [shell_gpt's repository](https://github.com/TheR1D/shell_gpt). | | [anything-llm](/tools/mintplex-labs-anything-llm.md) | [shell_gpt](/tools/ther1d-shell-gpt.md) | | --- | --- | --- | | Tagline | Self-hosted AI agent experience | A command-line productivity tool powered by AI large language models | | Stars | 66,167 | 12,287 | | Forks | 7,349 | 977 | | Open issues | 315 | 121 | | Language | JavaScript | Python | | 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. | ShellGPT is an AI-driven CLI utility using LLMs for task efficiency with OpenAI support. | | Persona | - | - | | Runtime | - | - | | License | MIT License, allowing for free use, modification, and distribution. | MIT | | Categories | AI Agents, Developer Tools, Inference & Serving | Inference & Serving, LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [anything-llm](/tools/mintplex-labs-anything-llm.md) | [shell_gpt](/tools/ther1d-shell-gpt.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Steady (60%) | | Days since push | 0d | 79d | | Open issues (now) | 315 | 121 | | Stars delta | +1.5k (30d) | +52 (30d) | | Open issues delta | -4 (30d) | +3 (30d) | | Owner type | Organization | User | | Full report | [trust report](/tools/mintplex-labs-anything-llm/trust.md) | [trust report](/tools/ther1d-shell-gpt/trust.md) | ## 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. ## Decision facts: shell_gpt - **Adopt for:** ShellGPT is an AI-driven CLI utility using LLMs for task efficiency with OpenAI support. ## Choose when ### Choose anything-llm if… - anything-llm is primarily JavaScript; shell_gpt is Python. - 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, Developer Tools. - When you need a local-first AI agent experience that you can fully control and customize. ### Choose shell_gpt if… - shell_gpt is primarily Python; anything-llm is JavaScript. - Tags unique to shell_gpt: chatgpt, cli, commands, productivity. - Also covers LLM Frameworks. - shell_gpt ships Docker support for self-hosted deployment. - When requiring integration with the OpenAI API for advanced CLI tasks ## 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. ## When NOT to use shell_gpt - Avoid if seeking a tool optimized for local-only models like Ollama, which are not fully supported - Not ideal for those aiming to avoid costs associated with the OpenAI API usage fees ## Common questions ### What is the difference between anything-llm and shell_gpt? anything-llm: Self-hosted AI agent experience. shell_gpt: A command-line productivity tool powered by AI large language models. See the comparison table for live GitHub stats and shared categories. ### When should I choose anything-llm over shell_gpt? Choose anything-llm over shell_gpt when anything-llm is primarily JavaScript; shell_gpt is Python; 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, Developer Tools; When you need a local-first AI agent experience that you can fully control and customize. ### When should I choose shell_gpt over anything-llm? Choose shell_gpt over anything-llm when shell_gpt is primarily Python; anything-llm is JavaScript; Tags unique to shell_gpt: chatgpt, cli, commands, productivity; Also covers LLM Frameworks; shell_gpt ships Docker support for self-hosted deployment; When requiring integration with the OpenAI API for advanced CLI tasks. ### 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. ### When should I avoid shell_gpt? Avoid if seeking a tool optimized for local-only models like Ollama, which are not fully supported Not ideal for those aiming to avoid costs associated with the OpenAI API usage fees ### Is anything-llm or shell_gpt more popular on GitHub? anything-llm has more GitHub stars (66,167 vs 12,287). Stars measure visibility, not whether either tool fits your constraints. ### Are anything-llm and shell_gpt open source? Yes - both are open-source projects on GitHub (anything-llm: MIT, shell_gpt: MIT). ### Where can I find alternatives to anything-llm or shell_gpt? GraphCanon lists graph-backed alternatives at [anything-llm alternatives](/tools/mintplex-labs-anything-llm/alternatives) and [shell_gpt alternatives](/tools/ther1d-shell-gpt/alternatives) ([anything-llm markdown twin](/tools/mintplex-labs-anything-llm/alternatives.md), [shell_gpt markdown twin](/tools/ther1d-shell-gpt/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/mintplex-labs-anything-llm-vs-ther1d-shell-gpt.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, anything-llm or shell_gpt? anything-llm: Very active. shell_gpt: Steady. 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 anything-llm and shell_gpt? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [anything-llm trust report](/tools/mintplex-labs-anything-llm/trust); [shell_gpt trust report](/tools/ther1d-shell-gpt/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=mintplex-labs-anything-llm`](/api/graphcanon/graph?tool=mintplex-labs-anything-llm) - 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/_