--- title: "agentos vs APT" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/framerslab-agentos-vs-rnchg-apt" tools: ["framerslab-agentos", "rnchg-apt"] --- # agentos vs APT *GraphCanon updated Aug 23, 2026* ## Verdict Pick agentos when agentos is primarily TypeScript; APT is C#; pick APT when aPT is primarily C#; agentos is TypeScript. [agentos](https://docs.agentos.sh) reports 617 GitHub stars, 92 forks, and 10 open issues, last pushed Aug 7, 2026. [APT](https://github.com/rnchg/APT) has 771 stars, 85 forks, and 12 open issues, last pushed Dec 13, 2025. Figures are from public GitHub metadata via [agentos's repository](https://github.com/framerslab/agentos) and [APT's repository](https://github.com/rnchg/APT). | | [agentos](/tools/framerslab-agentos.md) | [APT](/tools/rnchg-apt.md) | | --- | --- | --- | | Tagline | TypeScript AI agent framework providing cognitive memory and runtime tool forging with support for multi-agent orchestration | AI Productivity Tool | | Stars | 617 | 771 | | Forks | 92 | 85 | | Open issues | 10 | 12 | | Language | TypeScript | C# | | Adopt for | AgentOS supports eleven LLM providers with runtime tool forging capabilities for cognitive memory in TypeScript. | - | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | MIT | | Categories | AI Agents | Computer Vision, Inference & Serving, Speech & Audio | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [agentos](/tools/framerslab-agentos.md) | [APT](/tools/rnchg-apt.md) | | --- | --- | --- | | Maintenance | Active (82%) | Slowing (36%) | | Days since push | 15d | 230d | | Open issues (now) | 10 | 12 | | Stars delta | +16 (30d) | Unknown | | Open issues delta | +1 (30d) | Unknown | | Owner type | Organization | User | | Full report | [trust report](/tools/framerslab-agentos/trust.md) | [trust report](/tools/rnchg-apt/trust.md) | ## Decision facts: agentos - **Adopt for:** AgentOS supports eleven LLM providers with runtime tool forging capabilities for cognitive memory in TypeScript. ## Choose when ### Choose agentos if… - agentos is primarily TypeScript; APT is C#. - License: agentos is Apache-2.0, APT is MIT. - Tags unique to agentos: agent-framework, cognitive-memory, llm-orchestration, multi-agent. - Also covers AI Agents. - Need for cognitive memory and real-time tool generation in AI agents ### Choose APT if… - APT is primarily C#; agentos is TypeScript. - License: APT is MIT, agentos is Apache-2.0. - Tags unique to APT: ai, ai-framework, aigc, audio-processing. - Also covers Computer Vision, Inference & Serving, Speech & Audio. - Use APT when you need to process images, videos and audio files with built-in support for multiple AI models including ChatGPT, DeepSeek, Phi, Qwen. ## 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 APT - Do not use APT if you need real-time inference capabilities as it is primarily designed for batch processing of media files. - Avoid using APT if you require integration with specific proprietary AI models that are not supported by the tool. ## Common questions ### What is the difference between agentos and APT? agentos: TypeScript AI agent framework providing cognitive memory and runtime tool forging with support for multi-agent orchestration. APT: AI Productivity Tool. See the comparison table for live GitHub stats and shared categories. ### When should I choose agentos over APT? Choose agentos over APT when agentos is primarily TypeScript; APT is C#; License: agentos is Apache-2.0, APT is MIT; Tags unique to agentos: agent-framework, cognitive-memory, llm-orchestration, multi-agent; Also covers AI Agents; Need for cognitive memory and real-time tool generation in AI agents. ### When should I choose APT over agentos? Choose APT over agentos when APT is primarily C#; agentos is TypeScript; License: APT is MIT, agentos is Apache-2.0; Tags unique to APT: ai, ai-framework, aigc, audio-processing; Also covers Computer Vision, Inference & Serving, Speech & Audio; Use APT when you need to process images, videos and audio files with built-in support for multiple AI models including ChatGPT, DeepSeek, Phi, Qwen. ### 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 APT? Do not use APT if you need real-time inference capabilities as it is primarily designed for batch processing of media files. Avoid using APT if you require integration with specific proprietary AI models that are not supported by the tool. ### Is agentos or APT more popular on GitHub? APT has more GitHub stars (771 vs 617). Stars measure visibility, not whether either tool fits your constraints. ### Are agentos and APT open source? Yes - both are open-source projects on GitHub (agentos: Apache-2.0, APT: MIT). ### Where can I find alternatives to agentos or APT? GraphCanon lists graph-backed alternatives at [agentos alternatives](/tools/framerslab-agentos/alternatives) and [APT alternatives](/tools/rnchg-apt/alternatives) ([agentos markdown twin](/tools/framerslab-agentos/alternatives.md), [APT markdown twin](/tools/rnchg-apt/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-rnchg-apt.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, agentos or APT? agentos: Active. APT: 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 agentos and APT? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [agentos trust report](/tools/framerslab-agentos/trust); [APT trust report](/tools/rnchg-apt/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/_