--- title: "eko vs agentos" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/fellouai-eko-vs-framerslab-agentos" tools: ["fellouai-eko", "framerslab-agentos"] --- # eko vs agentos *GraphCanon updated Aug 24, 2026* ## Verdict Pick eko if eko excels at natural-language commands for creating agentic AI workflows; pick agentos if agentOS supports eleven LLM providers with runtime tool forging capabilities for cognitive memory in TypeScript. [eko](https://fellou.ai/eko) reports 5.0k GitHub stars, 442 forks, and 11 open issues, last pushed Mar 3, 2026. [agentos](https://docs.agentos.sh) has 617 stars, 92 forks, and 10 open issues, last pushed Aug 7, 2026. Figures are from public GitHub metadata via [eko's repository](https://github.com/FellouAI/eko) and [agentos's repository](https://github.com/framerslab/agentos). | | [eko](/tools/fellouai-eko.md) | [agentos](/tools/framerslab-agentos.md) | | --- | --- | --- | | Tagline | Build Production-ready Agentic Workflow with Natural Language | TypeScript AI agent framework providing cognitive memory and runtime tool forging with support for multi-agent orchestration | | Stars | 4,950 | 617 | | Forks | 442 | 92 | | Open issues | 11 | 10 | | Language | TypeScript | TypeScript | | Adopt for | Eko excels at natural-language commands for creating agentic AI workflows. | AgentOS supports eleven LLM providers with runtime tool forging capabilities for cognitive memory in TypeScript. | | Persona | - | - | | Runtime | - | - | | License | MIT | Apache-2.0 | | Categories | AI Agents, Inference & Serving | AI Agents | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [eko](/tools/fellouai-eko.md) | [agentos](/tools/framerslab-agentos.md) | | --- | --- | --- | | Maintenance | Slowing (36%) | Active (82%) | | Days since push | 174d | 15d | | Open issues (now) | 11 | 10 | | Stars delta | +11 (30d) | +16 (30d) | | Open issues delta | 0 (30d) | +1 (30d) | | Full report | [trust report](/tools/fellouai-eko/trust.md) | [trust report](/tools/framerslab-agentos/trust.md) | ## Decision facts: eko - **Adopt for:** Eko excels at natural-language commands for creating agentic AI workflows. ## Decision facts: agentos - **Adopt for:** AgentOS supports eleven LLM providers with runtime tool forging capabilities for cognitive memory in TypeScript. ## Choose when ### Choose eko if… - License: eko is MIT, agentos is Apache-2.0. - Tags unique to eko: agent, agentic-ai, agentic-ai-development, agentic-framework. - Also covers Inference & Serving. - For TypeScript projects needing agentic work via natural language ### Choose agentos if… - License: agentos is Apache-2.0, eko is MIT. - Tags unique to agentos: agent-framework, cognitive-memory, llm-orchestration, multi-agent. - Need for cognitive memory and real-time tool generation in AI agents ## 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 agentos - Preferring frameworks without multi-agent orchestration support - Prioritizing environments with less than eleven LLM provider options ## Common questions ### What is the difference between eko and agentos? eko: Build Production-ready Agentic Workflow with Natural Language. agentos: TypeScript AI agent framework providing cognitive memory and runtime tool forging with support for multi-agent orchestration. See the comparison table for live GitHub stats and shared categories. ### When should I choose eko over agentos? Choose eko over agentos when License: eko is MIT, agentos is Apache-2.0; Tags unique to eko: agent, agentic-ai, agentic-ai-development, agentic-framework; Also covers Inference & Serving; For TypeScript projects needing agentic work via natural language. ### When should I choose agentos over eko? Choose agentos over eko when License: agentos is Apache-2.0, eko is MIT; Tags unique to agentos: agent-framework, cognitive-memory, llm-orchestration, multi-agent; Need for cognitive memory and real-time tool generation in AI agents. ### 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 agentos? Preferring frameworks without multi-agent orchestration support Prioritizing environments with less than eleven LLM provider options ### Is eko or agentos more popular on GitHub? eko has more GitHub stars (4,950 vs 617). Stars measure visibility, not whether either tool fits your constraints. ### Are eko and agentos open source? Yes - both are open-source projects on GitHub (eko: MIT, agentos: Apache-2.0). ### Where can I find alternatives to eko or agentos? GraphCanon lists graph-backed alternatives at [eko alternatives](/tools/fellouai-eko/alternatives) and [agentos alternatives](/tools/framerslab-agentos/alternatives) ([eko markdown twin](/tools/fellouai-eko/alternatives.md), [agentos markdown twin](/tools/framerslab-agentos/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-framerslab-agentos.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, eko or agentos? eko: Slowing. agentos: 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 agentos? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [eko trust report](/tools/fellouai-eko/trust); [agentos trust report](/tools/framerslab-agentos/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/_