--- title: "eko vs incognide" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/fellouai-eko-vs-npc-worldwide-incognide" tools: ["fellouai-eko", "npc-worldwide-incognide"] --- # eko vs incognide *GraphCanon updated Aug 25, 2026* ## Verdict Pick eko if eko excels at natural-language commands for creating agentic AI workflows; pick incognide if incognide is a TypeScript library for developing AI agents with integrated capabilities for llm-inference. [eko](https://fellou.ai/eko) reports 5.0k GitHub stars, 442 forks, and 11 open issues, last pushed Mar 3, 2026. [incognide](https://enpisi.com/incognide.html) has 467 stars, 46 forks, and 15 open issues, last pushed Aug 21, 2026. Figures are from public GitHub metadata via [eko's repository](https://github.com/FellouAI/eko) and [incognide's repository](https://github.com/NPC-Worldwide/incognide). | | [eko](/tools/fellouai-eko.md) | [incognide](/tools/npc-worldwide-incognide.md) | | --- | --- | --- | | Tagline | Build Production-ready Agentic Workflow with Natural Language | Develops AI agents and integrates llms for inference | | Stars | 4,950 | 467 | | Forks | 442 | 46 | | Open issues | 11 | 15 | | Language | TypeScript | TypeScript | | Adopt for | Eko excels at natural-language commands for creating agentic AI workflows. | Incognide is a TypeScript library for developing AI agents with integrated capabilities for llm-inference. | | Persona | - | - | | Runtime | - | - | | License | MIT | MIT | | Categories | AI Agents, Inference & Serving | AI Agents, Inference & Serving, LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [eko](/tools/fellouai-eko.md) | [incognide](/tools/npc-worldwide-incognide.md) | | --- | --- | --- | | Maintenance | Slowing (36%) | Very active (96%) | | Days since push | 174d | 4d | | Open issues (now) | 11 | 15 | | Stars delta | +11 (30d) | +8 (30d) | | Open issues delta | 0 (30d) | -3 (30d) | | Full report | [trust report](/tools/fellouai-eko/trust.md) | [trust report](/tools/npc-worldwide-incognide/trust.md) | ## Decision facts: eko - **Adopt for:** Eko excels at natural-language commands for creating agentic AI workflows. ## Decision facts: incognide - **Adopt for:** Incognide is a TypeScript library for developing AI agents with integrated capabilities for llm-inference. ## Choose when ### Choose eko if… - Tags unique to eko: agent, agentic-ai, agentic-ai-development, agentic-framework. - For TypeScript projects needing agentic work via natural language - More GitHub stars (5.0k vs 467) - visibility, not fit. ### Choose incognide if… - Tags unique to incognide: artificial-intelligence, llm-inference, llms. - Also covers LLM Frameworks. - incognide ships Docker support for self-hosted deployment. - When you need a TypeScript-based solution to develop AI agents that integrate llm-inference features ## 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 incognide - If your project requires languages other than TypeScript as the primary language - Not suitable if you are looking for ready-to-deploy production tools, given its focus on research and development phase ## Common questions ### What is the difference between eko and incognide? eko: Build Production-ready Agentic Workflow with Natural Language. incognide: Develops AI agents and integrates llms for inference. See the comparison table for live GitHub stats and shared categories. ### When should I choose eko over incognide? Choose eko over incognide when Tags unique to eko: agent, agentic-ai, agentic-ai-development, agentic-framework; For TypeScript projects needing agentic work via natural language; More GitHub stars (5.0k vs 467) - visibility, not fit. ### When should I choose incognide over eko? Choose incognide over eko when Tags unique to incognide: artificial-intelligence, llm-inference, llms; Also covers LLM Frameworks; incognide ships Docker support for self-hosted deployment; When you need a TypeScript-based solution to develop AI agents that integrate llm-inference features. ### 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 incognide? If your project requires languages other than TypeScript as the primary language Not suitable if you are looking for ready-to-deploy production tools, given its focus on research and development phase ### Is eko or incognide more popular on GitHub? eko has more GitHub stars (4,950 vs 467). Stars measure visibility, not whether either tool fits your constraints. ### Are eko and incognide open source? Yes - both are open-source projects on GitHub (eko: MIT, incognide: MIT). ### Where can I find alternatives to eko or incognide? GraphCanon lists graph-backed alternatives at [eko alternatives](/tools/fellouai-eko/alternatives) and [incognide alternatives](/tools/npc-worldwide-incognide/alternatives) ([eko markdown twin](/tools/fellouai-eko/alternatives.md), [incognide markdown twin](/tools/npc-worldwide-incognide/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-npc-worldwide-incognide.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, eko or incognide? eko: Slowing. incognide: 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 incognide? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [eko trust report](/tools/fellouai-eko/trust); [incognide trust report](/tools/npc-worldwide-incognide/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/_