--- title: "OpenAgentsControl vs anything-llm" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/darrenhinde-openagentscontrol-vs-mintplex-labs-anything-llm" tools: ["darrenhinde-openagentscontrol", "mintplex-labs-anything-llm"] --- # OpenAgentsControl vs anything-llm *GraphCanon updated Sep 20, 2026* ## Verdict Pick OpenAgentsControl if openAgentsControl is an AI agent framework for plan-first development with support across TypeScript, Python, Go, and Rust. It offers automated testing, code review, and validation mechanisms; 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. [OpenAgentsControl](https://github.com/darrenhinde/OpenAgentsControl) reports 4.9k GitHub stars, 401 forks, and 68 open issues, last pushed Sep 13, 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 [OpenAgentsControl's repository](https://github.com/darrenhinde/OpenAgentsControl) and [anything-llm's repository](https://github.com/Mintplex-Labs/anything-llm). | | [OpenAgentsControl](/tools/darrenhinde-openagentscontrol.md) | [anything-llm](/tools/mintplex-labs-anything-llm.md) | | --- | --- | --- | | Tagline | AI agent framework for plan-first development with multi-language support and automated code practices | Self-hosted AI agent experience | | Stars | 4,862 | 66,167 | | Forks | 401 | 7,349 | | Open issues | 68 | 315 | | Language | TypeScript | JavaScript | | Adopt for | OpenAgentsControl is an AI agent framework for plan-first development with support across TypeScript, Python, Go, and Rust. It offers automated testing, code review, and validation mechanisms. | 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 | OpenAgentsControl is available under the MIT license. | MIT License, allowing for free use, modification, and distribution. | | Categories | AI Agents, Developer Tools | AI Agents, Developer Tools, Inference & Serving | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [OpenAgentsControl](/tools/darrenhinde-openagentscontrol.md) | [anything-llm](/tools/mintplex-labs-anything-llm.md) | | --- | --- | --- | | Days since push | 6d | 0d | | Open issues (now) | 68 | 315 | | Stars delta | +218 (30d) | +1.5k (30d) | | Open issues delta | +13 (30d) | -4 (30d) | | Owner type | User | Organization | | Full report | [trust report](/tools/darrenhinde-openagentscontrol/trust.md) | [trust report](/tools/mintplex-labs-anything-llm/trust.md) | ## Decision facts: OpenAgentsControl - **Pricing:** freemium - The tool is free to use, but as it's not specified in the repository information provided, premium features or support could come with a cost. - **Adopt for:** OpenAgentsControl is an AI agent framework for plan-first development with support across TypeScript, Python, Go, and Rust. It offers automated testing, code review, and validation mechanisms. - **License detail:** OpenAgentsControl is available under the MIT license. ## 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 OpenAgentsControl if… - OpenAgentsControl is primarily TypeScript; anything-llm is JavaScript. - Pricing: The tool is free to use, but as it's not specified in the repository information provided, premium features or support could come with a cost.. - Tags unique to OpenAgentsControl: ai-agent, automation, code-generation, code-validation. - Use OpenAgentsControl when you need a tool that supports approval-based execution for your AI agents in multi-language environments, particularly TypeScript, Python, Go, and Rust. ### Choose anything-llm if… - anything-llm is primarily JavaScript; OpenAgentsControl is TypeScript. - 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 Inference & Serving. - When you need a local-first AI agent experience that you can fully control and customize. ## When NOT to use OpenAgentsControl - Do not use OpenAgentsControl if you are working exclusively with languages or frameworks that are not supported, like Java or C# which are common choices. - Avoid it if real-time monitoring of agent interactions is a priority for your project because it focuses more on approval-based execution and plan-first workflows. ## 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 OpenAgentsControl and anything-llm? OpenAgentsControl: AI agent framework for plan-first development with multi-language support and automated code practices. anything-llm: Self-hosted AI agent experience. See the comparison table for live GitHub stats and shared categories. ### When should I choose OpenAgentsControl over anything-llm? Choose OpenAgentsControl over anything-llm when OpenAgentsControl is primarily TypeScript; anything-llm is JavaScript; Pricing: The tool is free to use, but as it's not specified in the repository information provided, premium features or support could come with a cost.; Tags unique to OpenAgentsControl: ai-agent, automation, code-generation, code-validation; Use OpenAgentsControl when you need a tool that supports approval-based execution for your AI agents in multi-language environments, particularly TypeScript, Python, Go, and Rust. ### When should I choose anything-llm over OpenAgentsControl? Choose anything-llm over OpenAgentsControl when anything-llm is primarily JavaScript; OpenAgentsControl is TypeScript; 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 Inference & Serving; When you need a local-first AI agent experience that you can fully control and customize. ### When should I avoid OpenAgentsControl? Do not use OpenAgentsControl if you are working exclusively with languages or frameworks that are not supported, like Java or C# which are common choices. Avoid it if real-time monitoring of agent interactions is a priority for your project because it focuses more on approval-based execution and plan-first workflows. ### 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 OpenAgentsControl or anything-llm more popular on GitHub? anything-llm has more GitHub stars (66,167 vs 4,862). Stars measure visibility, not whether either tool fits your constraints. ### Are OpenAgentsControl and anything-llm open source? Yes - both are open-source projects on GitHub (OpenAgentsControl: MIT, anything-llm: MIT). ### Where can I find alternatives to OpenAgentsControl or anything-llm? GraphCanon lists graph-backed alternatives at [OpenAgentsControl alternatives](/tools/darrenhinde-openagentscontrol/alternatives) and [anything-llm alternatives](/tools/mintplex-labs-anything-llm/alternatives) ([OpenAgentsControl markdown twin](/tools/darrenhinde-openagentscontrol/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/darrenhinde-openagentscontrol-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, OpenAgentsControl or anything-llm? OpenAgentsControl: 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 OpenAgentsControl and anything-llm? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [OpenAgentsControl trust report](/tools/darrenhinde-openagentscontrol/trust); [anything-llm trust report](/tools/mintplex-labs-anything-llm/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=darrenhinde-openagentscontrol`](/api/graphcanon/graph?tool=darrenhinde-openagentscontrol) - 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/_