--- title: "dust vs agentos" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/dust-tt-dust-vs-framerslab-agentos" tools: ["dust-tt-dust", "framerslab-agentos"] --- # dust vs agentos *GraphCanon updated Aug 23, 2026* ## Verdict Pick dust if dust, a TypeScript and Rust-based AI agent platform for workflow acceleration; pick agentos if agentOS supports eleven LLM providers with runtime tool forging capabilities for cognitive memory in TypeScript. [dust](https://dust.tt) reports 1.4k GitHub stars, 329 forks, and 315 open issues, last pushed Aug 15, 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 [dust's repository](https://github.com/dust-tt/dust) and [agentos's repository](https://github.com/framerslab/agentos). | | [dust](/tools/dust-tt-dust.md) | [agentos](/tools/framerslab-agentos.md) | | --- | --- | --- | | Tagline | Custom AI agent platform to speed up your work. | TypeScript AI agent framework providing cognitive memory and runtime tool forging with support for multi-agent orchestration | | Stars | 1,438 | 617 | | Forks | 329 | 92 | | Open issues | 315 | 10 | | Language | TypeScript | TypeScript | | Adopt for | Dust, a TypeScript and Rust-based AI agent platform for workflow acceleration. | 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 | AI Agents | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [dust](/tools/dust-tt-dust.md) | [agentos](/tools/framerslab-agentos.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Active (82%) | | Days since push | 0d | 15d | | Open issues (now) | 315 | 10 | | Stars delta | +23 (30d) | +16 (30d) | | Open issues delta | +68 (30d) | +1 (30d) | | Full report | [trust report](/tools/dust-tt-dust/trust.md) | [trust report](/tools/framerslab-agentos/trust.md) | ## Decision facts: dust - **Adopt for:** Dust, a TypeScript and Rust-based AI agent platform for workflow acceleration. ## Decision facts: agentos - **Adopt for:** AgentOS supports eleven LLM providers with runtime tool forging capabilities for cognitive memory in TypeScript. ## Choose when ### Choose dust if… - License: dust is MIT, agentos is Apache-2.0. - Tags unique to dust: agents, large language models, llm, rust. - dust ships Docker support for self-hosted deployment. - Need customization in AI agents with TypeScript and Rust support ### Choose agentos if… - License: agentos is Apache-2.0, dust 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 dust - Prefer fully managed AI services without needing low-level tuning options - Require integration with frameworks that do not support TypeScript or Rust ## 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 dust and agentos? dust: Custom AI agent platform to speed up your work.. 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 dust over agentos? Choose dust over agentos when License: dust is MIT, agentos is Apache-2.0; Tags unique to dust: agents, large language models, llm, rust; dust ships Docker support for self-hosted deployment; Need customization in AI agents with TypeScript and Rust support. ### When should I choose agentos over dust? Choose agentos over dust when License: agentos is Apache-2.0, dust 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 dust? Prefer fully managed AI services without needing low-level tuning options Require integration with frameworks that do not support TypeScript or Rust ### When should I avoid agentos? Preferring frameworks without multi-agent orchestration support Prioritizing environments with less than eleven LLM provider options ### Is dust or agentos more popular on GitHub? dust has more GitHub stars (1,438 vs 617). Stars measure visibility, not whether either tool fits your constraints. ### Are dust and agentos open source? Yes - both are open-source projects on GitHub (dust: MIT, agentos: Apache-2.0). ### Where can I find alternatives to dust or agentos? GraphCanon lists graph-backed alternatives at [dust alternatives](/tools/dust-tt-dust/alternatives) and [agentos alternatives](/tools/framerslab-agentos/alternatives) ([dust markdown twin](/tools/dust-tt-dust/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/dust-tt-dust-vs-framerslab-agentos.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, dust or agentos? dust: Very active. 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 dust and agentos? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [dust trust report](/tools/dust-tt-dust/trust); [agentos trust report](/tools/framerslab-agentos/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=dust-tt-dust`](/api/graphcanon/graph?tool=dust-tt-dust) - 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/_