--- title: "anything-llm vs localGPT" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/mintplex-labs-anything-llm-vs-promtengineer-localgpt" tools: ["mintplex-labs-anything-llm", "promtengineer-localgpt"] --- # anything-llm vs localGPT *GraphCanon updated Jul 11, 2026* ## Verdict Pick anything-llm if self-hosted AI agent experience with robust deployment scripts across multiple environments; pick localGPT if localGPT allows users to chat with local documents using GPT models completely privately without internet access. [anything-llm](https://anythingllm.com) reports 63k GitHub stars, 6.9k forks, and 320 open issues, last pushed Jul 11, 2026. [localGPT](https://github.com/PromtEngineer/localGPT) has 22k stars, 2.5k forks, and 25 open issues, last pushed Mar 10, 2026. Figures are from public GitHub metadata via [anything-llm's repository](https://github.com/Mintplex-Labs/anything-llm) and [localGPT's repository](https://github.com/PromtEngineer/localGPT). | | [anything-llm](/tools/mintplex-labs-anything-llm.md) | [localGPT](/tools/promtengineer-localgpt.md) | | --- | --- | --- | | Tagline | Self-hosted agent experience with deployment scripts for multiple environments | Chat with your documents locally using GPT models | | Stars | 63,100 | 22,202 | | Forks | 6,907 | 2,472 | | Open issues | 320 | 25 | | Language | JavaScript | Python | | Adopt for | Self-hosted AI agent experience with robust deployment scripts across multiple environments. | localGPT allows users to chat with local documents using GPT models completely privately without internet access. | | Persona | - | - | | Runtime | - | - | | License | MIT | MIT | | Categories | AI Agents, Inference & Serving | Data & Retrieval, Inference & Serving | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [anything-llm](/tools/mintplex-labs-anything-llm.md) | [localGPT](/tools/promtengineer-localgpt.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Slowing (36%) | | Days since push | 0d | 122d | | Open issues (now) | 320 | 25 | | Owner type | Organization | User | | Security scan | No lockfile | 44 low (44 low) | | Full report | [trust report](/tools/mintplex-labs-anything-llm/trust.md) | [trust report](/tools/promtengineer-localgpt/trust.md) | ## Decision facts: anything-llm - **Adopt for:** Self-hosted AI agent experience with robust deployment scripts across multiple environments. ## Decision facts: localGPT - **Requirements:** Min 4 GB RAM; Requires Docker; Installation is currently tested only on macOS, though instructions for other operating systems are partially provided. - **Adopt for:** localGPT allows users to chat with local documents using GPT models completely privately without internet access. ## Choose when ### Choose anything-llm if… - anything-llm is primarily JavaScript; localGPT is Python. - Tags unique to anything-llm: agent-computer, agent-harness, agentic-ai, llm. - Also covers AI Agents. - When you need flexibility in deploying your AI agents on various cloud platforms like AWS, GCP, Digital Ocean, and more. ### Choose localGPT if… - localGPT is primarily Python; anything-llm is JavaScript. - Requirements: Min 4 GB RAM; Requires Docker; Installation is currently tested only on macOS, though instructions for other operating systems are partially provided.. - Tags unique to localGPT: docker support, document-chat, gpt models, local-inference. - Also covers Data & Retrieval. - localGPT ships Docker support for self-hosted deployment. - When absolute privacy is required since no data leaves the user's local device. ## 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. ## When NOT to use localGPT - If you need to work across multiple devices seamlessly because localGPT requires installation on each device and does not synchronize state online. - In scenarios requiring frequent updates or model tuning from a cloud service; localGPT relies solely on locally available models which do not auto-update. ## Common questions ### What is the difference between anything-llm and localGPT? anything-llm: Self-hosted agent experience with deployment scripts for multiple environments. localGPT: Chat with your documents locally using GPT models. See the comparison table for live GitHub stats and shared categories. ### When should I choose anything-llm over localGPT? Choose anything-llm over localGPT when anything-llm is primarily JavaScript; localGPT is Python; Tags unique to anything-llm: agent-computer, agent-harness, agentic-ai, llm; 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 choose localGPT over anything-llm? Choose localGPT over anything-llm when localGPT is primarily Python; anything-llm is JavaScript; Requirements: Min 4 GB RAM; Requires Docker; Installation is currently tested only on macOS, though instructions for other operating systems are partially provided.; Tags unique to localGPT: docker support, document-chat, gpt models, local-inference; Also covers Data & Retrieval; localGPT ships Docker support for self-hosted deployment; When absolute privacy is required since no data leaves the user's local device. ### 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. ### When should I avoid localGPT? If you need to work across multiple devices seamlessly because localGPT requires installation on each device and does not synchronize state online. In scenarios requiring frequent updates or model tuning from a cloud service; localGPT relies solely on locally available models which do not auto-update. ### Is anything-llm or localGPT more popular on GitHub? anything-llm has more GitHub stars (63,100 vs 22,202). Stars measure visibility, not whether either tool fits your constraints. ### Are anything-llm and localGPT open source? Yes - both are open-source projects on GitHub (anything-llm: MIT, localGPT: MIT). ### Where can I find alternatives to anything-llm or localGPT? GraphCanon lists graph-backed alternatives at [anything-llm alternatives](/tools/mintplex-labs-anything-llm/alternatives) and [localGPT alternatives](/tools/promtengineer-localgpt/alternatives) ([anything-llm markdown twin](/tools/mintplex-labs-anything-llm/alternatives.md), [localGPT markdown twin](/tools/promtengineer-localgpt/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-promtengineer-localgpt.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, anything-llm or localGPT? anything-llm: Very active. localGPT: Slowing. 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 localGPT? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [anything-llm trust report](/tools/mintplex-labs-anything-llm/trust); [localGPT trust report](/tools/promtengineer-localgpt/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/_