--- title: "agent-protocol vs dust" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/agi-inc-agent-protocol-vs-dust-tt-dust" tools: ["agi-inc-agent-protocol", "dust-tt-dust"] --- # agent-protocol vs dust *GraphCanon updated Aug 15, 2026* ## Verdict Pick agent-protocol if agent-protocol provides a standardized interface for interacting with various AI agents regardless of their underlying tech stack, aiming to ease development, deployment, and benchmarking; pick dust if dust, a TypeScript and Rust-based AI agent platform for workflow acceleration. [agent-protocol](https://agentprotocol.ai) reports 1.5k GitHub stars, 185 forks, and 50 open issues, last pushed Apr 8, 2025. [dust](https://dust.tt) has 1.4k stars, 329 forks, and 315 open issues, last pushed Aug 15, 2026. Figures are from public GitHub metadata via [agent-protocol's repository](https://github.com/agi-inc/agent-protocol) and [dust's repository](https://github.com/dust-tt/dust). | | [agent-protocol](/tools/agi-inc-agent-protocol.md) | [dust](/tools/dust-tt-dust.md) | | --- | --- | --- | | Tagline | Common interface for AI agents | Custom AI agent platform to speed up your work. | | Stars | 1,458 | 1,438 | | Forks | 185 | 329 | | Open issues | 50 | 315 | | Language | Python | TypeScript | | Adopt for | agent-protocol provides a standardized interface for interacting with various AI agents regardless of their underlying tech stack, aiming to ease development, deployment, and benchmarking. | Dust, a TypeScript and Rust-based AI agent platform for workflow acceleration. | | Persona | - | - | | Runtime | - | - | | License | MIT | MIT | | Categories | AI Agents | AI Agents | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [agent-protocol](/tools/agi-inc-agent-protocol.md) | [dust](/tools/dust-tt-dust.md) | | --- | --- | --- | | Maintenance | Dormant (18%) | Very active (96%) | | Days since push | 484d | 0d | | Open issues (now) | 50 | 315 | | Stars delta | Unknown | +23 (30d) | | Open issues delta | Unknown | +68 (30d) | | Full report | [trust report](/tools/agi-inc-agent-protocol/trust.md) | [trust report](/tools/dust-tt-dust/trust.md) | ## Decision facts: agent-protocol - **Adopt for:** agent-protocol provides a standardized interface for interacting with various AI agents regardless of their underlying tech stack, aiming to ease development, deployment, and benchmarking. ## Decision facts: dust - **Adopt for:** Dust, a TypeScript and Rust-based AI agent platform for workflow acceleration. ## Choose when ### Choose agent-protocol if… - agent-protocol is primarily Python; dust is TypeScript. - Tags unique to agent-protocol: ai-agent, api, auto-gpt, gpt-4. - When you want to ensure interoperability between different AI agents irrespective of the frameworks used by them. ### Choose dust if… - dust is primarily TypeScript; agent-protocol is Python. - Tags unique to dust: large language models, llm, rust. - dust ships Docker support for self-hosted deployment. - Need customization in AI agents with TypeScript and Rust support ## When NOT to use agent-protocol - If you are developing an isolated system with no intention to communicate or integrate with other AI agents outside this scope. - When working in environments where specific, proprietary interfaces provide significantly better performance or features than adhering to a generic protocol could offer. ## 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 ## Common questions ### What is the difference between agent-protocol and dust? agent-protocol: Common interface for AI agents. dust: Custom AI agent platform to speed up your work.. See the comparison table for live GitHub stats and shared categories. ### When should I choose agent-protocol over dust? Choose agent-protocol over dust when agent-protocol is primarily Python; dust is TypeScript; Tags unique to agent-protocol: ai-agent, api, auto-gpt, gpt-4; When you want to ensure interoperability between different AI agents irrespective of the frameworks used by them. ### When should I choose dust over agent-protocol? Choose dust over agent-protocol when dust is primarily TypeScript; agent-protocol is Python; Tags unique to dust: 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 avoid agent-protocol? If you are developing an isolated system with no intention to communicate or integrate with other AI agents outside this scope. When working in environments where specific, proprietary interfaces provide significantly better performance or features than adhering to a generic protocol could offer. ### 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 ### Is agent-protocol or dust more popular on GitHub? agent-protocol has more GitHub stars (1,458 vs 1,438). Stars measure visibility, not whether either tool fits your constraints. ### Are agent-protocol and dust open source? Yes - both are open-source projects on GitHub (agent-protocol: MIT, dust: MIT). ### Where can I find alternatives to agent-protocol or dust? GraphCanon lists graph-backed alternatives at [agent-protocol alternatives](/tools/agi-inc-agent-protocol/alternatives) and [dust alternatives](/tools/dust-tt-dust/alternatives) ([agent-protocol markdown twin](/tools/agi-inc-agent-protocol/alternatives.md), [dust markdown twin](/tools/dust-tt-dust/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/agi-inc-agent-protocol-vs-dust-tt-dust.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, agent-protocol or dust? agent-protocol: Dormant. dust: 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 agent-protocol and dust? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [agent-protocol trust report](/tools/agi-inc-agent-protocol/trust); [dust trust report](/tools/dust-tt-dust/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=agi-inc-agent-protocol`](/api/graphcanon/graph?tool=agi-inc-agent-protocol) - 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/_