--- title: "agentos vs autoMate" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/framerslab-agentos-vs-yuruotong1-automate" tools: ["framerslab-agentos", "yuruotong1-automate"] --- # agentos vs autoMate *GraphCanon updated Sep 20, 2026* ## Verdict Pick agentos if agentOS supports eleven LLM providers with runtime tool forging capabilities for cognitive memory in TypeScript; pick autoMate if autoMate is an AI-driven local automation assistant that operates via natural language commands to automate computer tasks. [agentos](https://docs.agentos.sh) reports 670 GitHub stars, 97 forks, and 11 open issues, last pushed Sep 18, 2026. [autoMate](https://github.com/yuruotong1/autoMate) has 4.0k stars, 491 forks, and 3 open issues, last pushed Sep 18, 2026. Figures are from public GitHub metadata via [agentos's repository](https://github.com/framerslab/agentos) and [autoMate's repository](https://github.com/yuruotong1/autoMate). | | [agentos](/tools/framerslab-agentos.md) | [autoMate](/tools/yuruotong1-automate.md) | | --- | --- | --- | | Tagline | TypeScript AI agent framework providing cognitive memory and runtime tool forging with support for multi-agent orchestration | AI-driven local automation assistant using natural language | | Stars | 670 | 3,964 | | Forks | 97 | 491 | | Open issues | 11 | 3 | | Language | TypeScript | Python | | Adopt for | AgentOS supports eleven LLM providers with runtime tool forging capabilities for cognitive memory in TypeScript. | autoMate is an AI-driven local automation assistant that operates via natural language commands to automate computer tasks. | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | MIT License | | Categories | AI Agents | AI Agents | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [agentos](/tools/framerslab-agentos.md) | [autoMate](/tools/yuruotong1-automate.md) | | --- | --- | --- | | Days since push | 1d | 2d | | Open issues (now) | 11 | 3 | | Stars delta | +69 (30d) | +20 (30d) | | Open issues delta | +2 (30d) | +1 (30d) | | Owner type | Organization | User | | Full report | [trust report](/tools/framerslab-agentos/trust.md) | [trust report](/tools/yuruotong1-automate/trust.md) | ## Decision facts: agentos - **Adopt for:** AgentOS supports eleven LLM providers with runtime tool forging capabilities for cognitive memory in TypeScript. ## Decision facts: autoMate - **Pricing:** freemium - Available free under the MIT license; advanced features may require specific third-party model keys. - **Requirements:** Min 2 GB RAM; Requires Docker; Docker is an optional installation method, useful for headless systems or NAS devices.; No Python knowledge is needed to use the standalone binary version by double-clicking. - **Adopt for:** autoMate is an AI-driven local automation assistant that operates via natural language commands to automate computer tasks. - **License detail:** MIT License ## Choose when ### Choose agentos if… - agentos is primarily TypeScript; autoMate is Python. - License: agentos is Apache-2.0, autoMate 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 ### Choose autoMate if… - autoMate is primarily Python; agentos is TypeScript. - License: autoMate is MIT, agentos is Apache-2.0. - Pricing: Available free under the MIT license; advanced features may require specific third-party model keys.. - Requirements: Min 2 GB RAM; Requires Docker; Docker is an optional installation method, useful for headless systems or NAS devices.; No Python knowledge is needed to use the standalone binary version by double-clicking.. - Tags unique to autoMate: agent, ai, computeruse, deepseek. - autoMate ships Docker support for self-hosted deployment. - When users want to leverage natural language interaction for automating repetitive tasks on personal computers without cloud integration, as autoMate operates entirely locally. ## When NOT to use agentos - Preferring frameworks without multi-agent orchestration support - Prioritizing environments with less than eleven LLM provider options ## When NOT to use autoMate - Avoid if you require cloud functionalities for task automation, since autoMate is designed for local operations only and does not include cloud services. - Users who need integrations with specific applications not supported by autoMate should look elsewhere, given its broad but not exhaustive feature set. ## Common questions ### What is the difference between agentos and autoMate? agentos: TypeScript AI agent framework providing cognitive memory and runtime tool forging with support for multi-agent orchestration. autoMate: AI-driven local automation assistant using natural language. See the comparison table for live GitHub stats and shared categories. ### When should I choose agentos over autoMate? Choose agentos over autoMate when agentos is primarily TypeScript; autoMate is Python; License: agentos is Apache-2.0, autoMate 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 choose autoMate over agentos? Choose autoMate over agentos when autoMate is primarily Python; agentos is TypeScript; License: autoMate is MIT, agentos is Apache-2.0; Pricing: Available free under the MIT license; advanced features may require specific third-party model keys.; Requirements: Min 2 GB RAM; Requires Docker; Docker is an optional installation method, useful for headless systems or NAS devices.; No Python knowledge is needed to use the standalone binary version by double-clicking.; Tags unique to autoMate: agent, ai, computeruse, deepseek; autoMate ships Docker support for self-hosted deployment; When users want to leverage natural language interaction for automating repetitive tasks on personal computers without cloud integration, as autoMate operates entirely locally. ### When should I avoid agentos? Preferring frameworks without multi-agent orchestration support Prioritizing environments with less than eleven LLM provider options ### When should I avoid autoMate? Avoid if you require cloud functionalities for task automation, since autoMate is designed for local operations only and does not include cloud services. Users who need integrations with specific applications not supported by autoMate should look elsewhere, given its broad but not exhaustive feature set. ### Is agentos or autoMate more popular on GitHub? autoMate has more GitHub stars (3,964 vs 670). Stars measure visibility, not whether either tool fits your constraints. ### Are agentos and autoMate open source? Yes - both are open-source projects on GitHub (agentos: Apache-2.0, autoMate: MIT). ### Where can I find alternatives to agentos or autoMate? GraphCanon lists graph-backed alternatives at [agentos alternatives](/tools/framerslab-agentos/alternatives) and [autoMate alternatives](/tools/yuruotong1-automate/alternatives) ([agentos markdown twin](/tools/framerslab-agentos/alternatives.md), [autoMate markdown twin](/tools/yuruotong1-automate/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/framerslab-agentos-vs-yuruotong1-automate.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, agentos or autoMate? agentos: Very active. autoMate: 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 agentos and autoMate? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [agentos trust report](/tools/framerslab-agentos/trust); [autoMate trust report](/tools/yuruotong1-automate/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=framerslab-agentos`](/api/graphcanon/graph?tool=framerslab-agentos) - 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/_