--- title: "eko vs anything-llm" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/fellouai-eko-vs-mintplex-labs-anything-llm" tools: ["fellouai-eko", "mintplex-labs-anything-llm"] --- # eko vs anything-llm *GraphCanon updated Sep 20, 2026* ## Verdict Pick eko if eko excels at natural-language commands for creating agentic AI workflows; 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. [eko](https://fellou.ai/eko) reports 5.0k GitHub stars, 444 forks, and 15 open issues, last pushed Mar 3, 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 [eko's repository](https://github.com/FellouAI/eko) and [anything-llm's repository](https://github.com/Mintplex-Labs/anything-llm). | | [eko](/tools/fellouai-eko.md) | [anything-llm](/tools/mintplex-labs-anything-llm.md) | | --- | --- | --- | | Tagline | Build Production-ready Agentic Workflow with Natural Language | Self-hosted AI agent experience | | Stars | 4,962 | 66,167 | | Forks | 444 | 7,349 | | Open issues | 15 | 315 | | Language | TypeScript | JavaScript | | Adopt for | Eko excels at natural-language commands for creating agentic AI workflows. | 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 | MIT | MIT License, allowing for free use, modification, and distribution. | | Categories | AI Agents, Inference & Serving | AI Agents, Developer Tools, Inference & Serving | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [eko](/tools/fellouai-eko.md) | [anything-llm](/tools/mintplex-labs-anything-llm.md) | | --- | --- | --- | | Maintenance | Slowing (36%) | Very active (96%) | | Days since push | 200d | 0d | | Open issues (now) | 15 | 315 | | Stars delta | +23 (30d) | +1.5k (30d) | | Open issues delta | +4 (30d) | -4 (30d) | | Full report | [trust report](/tools/fellouai-eko/trust.md) | [trust report](/tools/mintplex-labs-anything-llm/trust.md) | ## Decision facts: eko - **Adopt for:** Eko excels at natural-language commands for creating agentic AI workflows. ## 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 eko if… - eko is primarily TypeScript; anything-llm is JavaScript. - Tags unique to eko: agent, agentic-ai-development, agentic-framework, agents. - For TypeScript projects needing agentic work via natural language ### Choose anything-llm if… - anything-llm is primarily JavaScript; eko 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, local-ai. - Also covers Developer Tools. - When you need a local-first AI agent experience that you can fully control and customize. ## When NOT to use eko - If your team lacks proficiency in working with TypeScript and its ecosystem - In scenarios demanding real-time low-latency execution without the overhead of language processing ## 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 eko and anything-llm? eko: Build Production-ready Agentic Workflow with Natural Language. anything-llm: Self-hosted AI agent experience. See the comparison table for live GitHub stats and shared categories. ### When should I choose eko over anything-llm? Choose eko over anything-llm when eko is primarily TypeScript; anything-llm is JavaScript; Tags unique to eko: agent, agentic-ai-development, agentic-framework, agents; For TypeScript projects needing agentic work via natural language. ### When should I choose anything-llm over eko? Choose anything-llm over eko when anything-llm is primarily JavaScript; eko 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, local-ai; Also covers Developer Tools; When you need a local-first AI agent experience that you can fully control and customize. ### When should I avoid eko? If your team lacks proficiency in working with TypeScript and its ecosystem In scenarios demanding real-time low-latency execution without the overhead of language processing ### 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 eko or anything-llm more popular on GitHub? anything-llm has more GitHub stars (66,167 vs 4,962). Stars measure visibility, not whether either tool fits your constraints. ### Are eko and anything-llm open source? Yes - both are open-source projects on GitHub (eko: MIT, anything-llm: MIT). ### Where can I find alternatives to eko or anything-llm? GraphCanon lists graph-backed alternatives at [eko alternatives](/tools/fellouai-eko/alternatives) and [anything-llm alternatives](/tools/mintplex-labs-anything-llm/alternatives) ([eko markdown twin](/tools/fellouai-eko/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/fellouai-eko-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, eko or anything-llm? eko: Slowing. 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 eko and anything-llm? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [eko trust report](/tools/fellouai-eko/trust); [anything-llm trust report](/tools/mintplex-labs-anything-llm/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=fellouai-eko`](/api/graphcanon/graph?tool=fellouai-eko) - 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/_