--- title: "hello-agents vs astrid" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/datawhalechina-hello-agents-vs-unicity-astrid-astrid" tools: ["datawhalechina-hello-agents", "unicity-astrid-astrid"] --- # hello-agents vs astrid *GraphCanon updated Jul 11, 2026* ## Verdict Pick hello-agents if hello-agents is a comprehensive guide and hands-on tutorial for developing AI agents using LLMs (Large Language Models) and RAG methods; pick astrid if astrid is a secure operating system for AI agents built with Rust, emphasizing capability security and microkernel architecture. [hello-agents](https://hello-agents.datawhale.cc) reports 65k GitHub stars, 8.1k forks, and 144 open issues, last pushed Jul 10, 2026. [astrid](https://unicity-astrid.github.io/) has 10k stars, 130 forks, and 249 open issues, last pushed Jul 10, 2026. Figures are from public GitHub metadata via [hello-agents's repository](https://github.com/datawhalechina/hello-agents) and [astrid's repository](https://github.com/unicity-astrid/astrid). | | [hello-agents](/tools/datawhalechina-hello-agents.md) | [astrid](/tools/unicity-astrid-astrid.md) | | --- | --- | --- | | Tagline | Course on building intelligent agents from scratch | Secure operating system for AI agents | | Stars | 65,432 | 10,322 | | Forks | 8,109 | 130 | | Open issues | 144 | 249 | | Language | Python | Rust | | Adopt for | hello-agents is a comprehensive guide and hands-on tutorial for developing AI agents using LLMs (Large Language Models) and RAG methods. | Astrid is a secure operating system for AI agents built with Rust, emphasizing capability security and microkernel architecture. | | Persona | - | - | | Runtime | - | - | | License | hello-agents is covered under an unconventional license which may require further review before usage. | Astrid is licensed under the Apache-2.0 license, providing a permissive free software license that can be used in both open source and proprietary applications. | | Categories | AI Agents, LLM Frameworks | AI Agents, LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [hello-agents](/tools/datawhalechina-hello-agents.md) | [astrid](/tools/unicity-astrid-astrid.md) | | --- | --- | --- | | Open issues (now) | 144 | 249 | | Security scan | No lockfile | No MCP manifest | | Full report | [trust report](/tools/datawhalechina-hello-agents/trust.md) | [trust report](/tools/unicity-astrid-astrid/trust.md) | ## Decision facts: hello-agents - **Requirements:** Min 4 GB RAM; Python knowledge assumed - **Adopt for:** hello-agents is a comprehensive guide and hands-on tutorial for developing AI agents using LLMs (Large Language Models) and RAG methods. - **License detail:** hello-agents is covered under an unconventional license which may require further review before usage. ## Decision facts: astrid - **Pricing:** freemium - Open-source and freely available under the Apache 2.0 license. - **Requirements:** Min 4 GB RAM; Requires Rust 1.95+ if installing from crates.io.; Available on macOS and Linux via Homebrew. - **Adopt for:** Astrid is a secure operating system for AI agents built with Rust, emphasizing capability security and microkernel architecture. - **License detail:** Astrid is licensed under the Apache-2.0 license, providing a permissive free software license that can be used in both open source and proprietary applications. ## Choose when ### Choose hello-agents if… - hello-agents is primarily Python; astrid is Rust. - License: hello-agents is Other, astrid is Apache-2.0. - Requirements: Min 4 GB RAM; Python knowledge assumed. - Tags unique to hello-agents: agent, rag, tutorial. - You should use hello-agents if you are interested in practical, step-by-step instructions on building intelligent agents from the ground up. ### Choose astrid if… - astrid is primarily Rust; hello-agents is Python. - License: astrid is Apache-2.0, hello-agents is Other. - Pricing: Open-source and freely available under the Apache 2.0 license.. - Requirements: Min 4 GB RAM; Requires Rust 1.95+ if installing from crates.io.; Available on macOS and Linux via Homebrew.. - Tags unique to astrid: agent-runtime, ai-agents, capability-security, microkernel. - Use Astrid if you need a secure runtime environment that uses Rust's memory safety features to protect against common vulnerabilities. ## When NOT to use hello-agents - Avoid using hello-agents if you are looking for a quick, superficial introduction to AI agents; this tool focuses heavily on in-depth learning and practical application. - Do not opt for hello-agents if you want a more general AI development resource; unlike some competitors, it has a narrower focus specifically on agent creation with advanced methods like LLMs and RAG. ## When NOT to use astrid - Avoid Astrid if your deployment does not require a microkernel architecture, as this design may introduce additional complexity that might not be beneficial in simpler use cases. - Do not choose Astrid if you specifically need an environment built with another language other than Rust to leverage specific features or integrations that are not available within the Rust ecosystem. ## Common questions ### What is the difference between hello-agents and astrid? hello-agents: Course on building intelligent agents from scratch. astrid: Secure operating system for AI agents. See the comparison table for live GitHub stats and shared categories. ### When should I choose hello-agents over astrid? Choose hello-agents over astrid when hello-agents is primarily Python; astrid is Rust; License: hello-agents is Other, astrid is Apache-2.0; Requirements: Min 4 GB RAM; Python knowledge assumed; Tags unique to hello-agents: agent, rag, tutorial; You should use hello-agents if you are interested in practical, step-by-step instructions on building intelligent agents from the ground up. ### When should I choose astrid over hello-agents? Choose astrid over hello-agents when astrid is primarily Rust; hello-agents is Python; License: astrid is Apache-2.0, hello-agents is Other; Pricing: Open-source and freely available under the Apache 2.0 license.; Requirements: Min 4 GB RAM; Requires Rust 1.95+ if installing from crates.io.; Available on macOS and Linux via Homebrew.; Tags unique to astrid: agent-runtime, ai-agents, capability-security, microkernel; Use Astrid if you need a secure runtime environment that uses Rust's memory safety features to protect against common vulnerabilities. ### When should I avoid hello-agents? Avoid using hello-agents if you are looking for a quick, superficial introduction to AI agents; this tool focuses heavily on in-depth learning and practical application. Do not opt for hello-agents if you want a more general AI development resource; unlike some competitors, it has a narrower focus specifically on agent creation with advanced methods like LLMs and RAG. ### When should I avoid astrid? Avoid Astrid if your deployment does not require a microkernel architecture, as this design may introduce additional complexity that might not be beneficial in simpler use cases. Do not choose Astrid if you specifically need an environment built with another language other than Rust to leverage specific features or integrations that are not available within the Rust ecosystem. ### Is hello-agents or astrid more popular on GitHub? hello-agents has more GitHub stars (65,432 vs 10,322). Stars measure visibility, not whether either tool fits your constraints. ### Are hello-agents and astrid open source? Yes - both are open-source projects on GitHub (hello-agents: Other, astrid: Apache-2.0). ### Where can I find alternatives to hello-agents or astrid? GraphCanon lists graph-backed alternatives at [hello-agents alternatives](/tools/datawhalechina-hello-agents/alternatives) and [astrid alternatives](/tools/unicity-astrid-astrid/alternatives) ([hello-agents markdown twin](/tools/datawhalechina-hello-agents/alternatives.md), [astrid markdown twin](/tools/unicity-astrid-astrid/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/datawhalechina-hello-agents-vs-unicity-astrid-astrid.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, hello-agents or astrid? hello-agents: Very active. astrid: 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 hello-agents and astrid? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [hello-agents trust report](/tools/datawhalechina-hello-agents/trust); [astrid trust report](/tools/unicity-astrid-astrid/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=datawhalechina-hello-agents`](/api/graphcanon/graph?tool=datawhalechina-hello-agents) - 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/_