--- title: "anything-llm vs OpenChat" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/mintplex-labs-anything-llm-vs-opencx-labs-openchat" tools: ["mintplex-labs-anything-llm", "opencx-labs-openchat"] --- # anything-llm vs OpenChat *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 OpenChat if critical facts on using OpenChat. [anything-llm](https://anythingllm.com) reports 66k GitHub stars, 7.3k forks, and 315 open issues, last pushed Sep 17, 2026. [OpenChat](https://open.cx) has 5.2k stars, 639 forks, and 37 open issues, last pushed Feb 27, 2024. Figures are from public GitHub metadata via [anything-llm's repository](https://github.com/Mintplex-Labs/anything-llm) and [OpenChat's repository](https://github.com/opencx-labs/OpenChat). | | [anything-llm](/tools/mintplex-labs-anything-llm.md) | [OpenChat](/tools/opencx-labs-openchat.md) | | --- | --- | --- | | Tagline | Self-hosted AI agent experience | LLMs custom-chatbots console ⚡ | | Stars | 66,167 | 5,227 | | Forks | 7,349 | 639 | | Open issues | 315 | 37 | | Language | JavaScript | JavaScript | | 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. | Critical facts on using OpenChat | | Persona | - | - | | Runtime | - | - | | License | MIT License, allowing for free use, modification, and distribution. | MIT | | Categories | AI Agents, Developer Tools, Inference & Serving | Evaluation & Observability, Inference & Serving | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [anything-llm](/tools/mintplex-labs-anything-llm.md) | [OpenChat](/tools/opencx-labs-openchat.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Archived (8%) | | Days since push | 0d | 935d | | Archived on GitHub | No | Yes | | Open issues (now) | 315 | 37 | | Stars delta | +1.5k (30d) | -10 (30d) | | Open issues delta | -4 (30d) | 0 (30d) | | Full report | [trust report](/tools/mintplex-labs-anything-llm/trust.md) | [trust report](/tools/opencx-labs-openchat/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: OpenChat - **Requirements:** Requires Docker for setup; Python backend with significant change to Qdrant vector store which might affect existing implementations - **Adopt for:** Critical facts on using OpenChat ## Choose when ### Choose anything-llm if… - 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 OpenChat if… - Requirements: Requires Docker for setup; Python backend with significant change to Qdrant vector store which might affect existing implementations. - Tags unique to OpenChat: custom-chatbots, docker, javascript, openchat console. - Also covers Evaluation & Observability. - OpenChat ships Docker support for self-hosted deployment. - Critical facts on using OpenChat ## 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 OpenChat - OpenChat is archived on GitHub. Prefer an active alternative unless you maintain a private fork or need a frozen dependency. - Evaluation & Observability: Defer heavyweight eval infra only until you have real traffic - never skip it once users depend on answers. - Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic. ## Common questions ### What is the difference between anything-llm and OpenChat? anything-llm: Self-hosted AI agent experience. OpenChat: LLMs custom-chatbots console ⚡. See the comparison table for live GitHub stats and shared categories. ### When should I choose anything-llm over OpenChat? Choose anything-llm over OpenChat when 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 OpenChat over anything-llm? Choose OpenChat over anything-llm when Requirements: Requires Docker for setup; Python backend with significant change to Qdrant vector store which might affect existing implementations; Tags unique to OpenChat: custom-chatbots, docker, javascript, openchat console; Also covers Evaluation & Observability; OpenChat ships Docker support for self-hosted deployment; Critical facts on using OpenChat. ### 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 OpenChat? OpenChat is archived on GitHub. Prefer an active alternative unless you maintain a private fork or need a frozen dependency. Evaluation & Observability: Defer heavyweight eval infra only until you have real traffic - never skip it once users depend on answers. Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic. ### Is anything-llm or OpenChat more popular on GitHub? anything-llm has more GitHub stars (66,167 vs 5,227). Stars measure visibility, not whether either tool fits your constraints. ### Are anything-llm and OpenChat open source? Yes - both are open-source projects on GitHub (anything-llm: MIT, OpenChat: MIT). ### Where can I find alternatives to anything-llm or OpenChat? GraphCanon lists graph-backed alternatives at [anything-llm alternatives](/tools/mintplex-labs-anything-llm/alternatives) and [OpenChat alternatives](/tools/opencx-labs-openchat/alternatives) ([anything-llm markdown twin](/tools/mintplex-labs-anything-llm/alternatives.md), [OpenChat markdown twin](/tools/opencx-labs-openchat/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-opencx-labs-openchat.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, anything-llm or OpenChat? anything-llm: Very active. OpenChat: Archived. 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 OpenChat? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [anything-llm trust report](/tools/mintplex-labs-anything-llm/trust); [OpenChat trust report](/tools/opencx-labs-openchat/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/_