--- title: "anything-llm vs coca" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/mintplex-labs-anything-llm-vs-phodal-coca" tools: ["mintplex-labs-anything-llm", "phodal-coca"] --- # anything-llm vs coca *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 coca if coca is a comprehensive toolbox for analyzing and refactoring legacy systems using features such as call graph visualization, concept analysis, and design pattern suggestions. [anything-llm](https://anythingllm.com) reports 66k GitHub stars, 7.3k forks, and 315 open issues, last pushed Sep 17, 2026. [coca](https://coca.migration.ink/) has 989 stars, 117 forks, and 0 open issues, last pushed Jan 6, 2026. Figures are from public GitHub metadata via [anything-llm's repository](https://github.com/Mintplex-Labs/anything-llm) and [coca's repository](https://github.com/phodal/coca). | | [anything-llm](/tools/mintplex-labs-anything-llm.md) | [coca](/tools/phodal-coca.md) | | --- | --- | --- | | Tagline | Self-hosted AI agent experience | Toolbox for legacy system refactoring and analysis | | Stars | 66,167 | 989 | | Forks | 7,349 | 117 | | Open issues | 315 | 0 | | Language | JavaScript | Go | | 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. | Coca is a comprehensive toolbox for analyzing and refactoring legacy systems using features such as call graph visualization, concept analysis, and design pattern suggestions. | | Persona | - | - | | Runtime | - | - | | License | MIT License, allowing for free use, modification, and distribution. | The Mozilla Public License version 2.0 applies to Coca, which offers a balance between open source freedom and ensuring contributions back to the community. | | Categories | AI Agents, Developer Tools, Inference & Serving | Developer Tools | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [anything-llm](/tools/mintplex-labs-anything-llm.md) | [coca](/tools/phodal-coca.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Slowing (36%) | | Days since push | 0d | 256d | | Open issues (now) | 315 | 0 | | Stars delta | +1.5k (30d) | -1 (30d) | | Open issues delta | -4 (30d) | 0 (30d) | | Owner type | Organization | User | | Full report | [trust report](/tools/mintplex-labs-anything-llm/trust.md) | [trust report](/tools/phodal-coca/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: coca - **Pricing:** freemium - Coca is freely available under an open-source license (MPL-2.0). There are no paid versions or premium features listed. - **Adopt for:** Coca is a comprehensive toolbox for analyzing and refactoring legacy systems using features such as call graph visualization, concept analysis, and design pattern suggestions. - **License detail:** The Mozilla Public License version 2.0 applies to Coca, which offers a balance between open source freedom and ensuring contributions back to the community. ## Choose when ### Choose anything-llm if… - anything-llm is primarily JavaScript; coca is Go. - License: anything-llm is MIT, coca is MPL-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. ### Choose coca if… - coca is primarily Go; anything-llm is JavaScript. - License: coca is MPL-2.0, anything-llm is MIT. - Pricing: Coca is freely available under an open-source license (MPL-2.0). There are no paid versions or premium features listed.. - Tags unique to coca: ai, architecture, automation, git. - Use Coca when you are working with complex legacy Go applications that need detailed analysis of their architecture to facilitate informed refactoring decisions ## 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 coca - Avoid using Coca for projects that do not involve Go language as it is specifically designed with this in mind - Do not use Coca if your primary concern is runtime performance analysis; its strengths lie in structural and architectural code analysis rather than performance profiling of running systems ## Common questions ### What is the difference between anything-llm and coca? anything-llm: Self-hosted AI agent experience. coca: Toolbox for legacy system refactoring and analysis. See the comparison table for live GitHub stats and shared categories. ### When should I choose anything-llm over coca? Choose anything-llm over coca when anything-llm is primarily JavaScript; coca is Go; License: anything-llm is MIT, coca is MPL-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 choose coca over anything-llm? Choose coca over anything-llm when coca is primarily Go; anything-llm is JavaScript; License: coca is MPL-2.0, anything-llm is MIT; Pricing: Coca is freely available under an open-source license (MPL-2.0). There are no paid versions or premium features listed.; Tags unique to coca: ai, architecture, automation, git; Use Coca when you are working with complex legacy Go applications that need detailed analysis of their architecture to facilitate informed refactoring decisions. ### 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 coca? Avoid using Coca for projects that do not involve Go language as it is specifically designed with this in mind Do not use Coca if your primary concern is runtime performance analysis; its strengths lie in structural and architectural code analysis rather than performance profiling of running systems ### Is anything-llm or coca more popular on GitHub? anything-llm has more GitHub stars (66,167 vs 989). Stars measure visibility, not whether either tool fits your constraints. ### Are anything-llm and coca open source? Yes - both are open-source projects on GitHub (anything-llm: MIT, coca: MPL-2.0). ### Where can I find alternatives to anything-llm or coca? GraphCanon lists graph-backed alternatives at [anything-llm alternatives](/tools/mintplex-labs-anything-llm/alternatives) and [coca alternatives](/tools/phodal-coca/alternatives) ([anything-llm markdown twin](/tools/mintplex-labs-anything-llm/alternatives.md), [coca markdown twin](/tools/phodal-coca/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-phodal-coca.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, anything-llm or coca? anything-llm: Very active. coca: 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 coca? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [anything-llm trust report](/tools/mintplex-labs-anything-llm/trust); [coca trust report](/tools/phodal-coca/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/_