--- title: "PokeClaw vs hello-agents" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/agents-io-pokeclaw-vs-datawhalechina-hello-agents" tools: ["agents-io-pokeclaw", "datawhalechina-hello-agents"] --- # PokeClaw vs hello-agents *GraphCanon updated Jul 15, 2026* ## Verdict Pick PokeClaw when pokeClaw is primarily Kotlin; hello-agents is Python; pick hello-agents when hello-agents is primarily Python; PokeClaw is Kotlin. [PokeClaw](https://github.com/agents-io/PokeClaw) reports 961 GitHub stars, 132 forks, and 25 open issues, last pushed Jun 2, 2026. [hello-agents](https://hello-agents.datawhale.cc) has 65k stars, 8.1k forks, and 144 open issues, last pushed Jul 10, 2026. Figures are from public GitHub metadata via [PokeClaw's repository](https://github.com/agents-io/PokeClaw) and [hello-agents's repository](https://github.com/datawhalechina/hello-agents). | | [PokeClaw](/tools/agents-io-pokeclaw.md) | [hello-agents](/tools/datawhalechina-hello-agents.md) | | --- | --- | --- | | Tagline | PokeClaw (PocketClaw), first on-device AI that controls your Android phone. Gemma 4, no cloud, no API key. Poke is short for Pocket. | Course on building intelligent agents from scratch | | Stars | 961 | 65,432 | | Forks | 132 | 8,109 | | Open issues | 25 | 144 | | Language | Kotlin | Python | | Adopt for | - | hello-agents is a comprehensive guide and hands-on tutorial for developing AI agents using LLMs (Large Language Models) and RAG methods. | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | hello-agents is covered under an unconventional license which may require further review before usage. | | Categories | AI Agents, LLM Frameworks | AI Agents, LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [PokeClaw](/tools/agents-io-pokeclaw.md) | [hello-agents](/tools/datawhalechina-hello-agents.md) | | --- | --- | --- | | Maintenance | Steady (60%) | Very active (96%) | | Days since push | 43d | 0d | | Open issues (now) | 25 | 144 | | Full report | [trust report](/tools/agents-io-pokeclaw/trust.md) | [trust report](/tools/datawhalechina-hello-agents/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. ## Choose when ### Choose PokeClaw if… - PokeClaw is primarily Kotlin; hello-agents is Python. - License: PokeClaw is Apache-2.0, hello-agents is Other. - Tags unique to PokeClaw: accessibility, ai-agent, android-automation, gemma4. ### Choose hello-agents if… - hello-agents is primarily Python; PokeClaw is Kotlin. - License: hello-agents is Other, PokeClaw is Apache-2.0. - Requirements: Min 4 GB RAM; Python knowledge assumed. - Tags unique to hello-agents: agent, llm, 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 NOT to use PokeClaw - AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism. - LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. ## 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. ## Common questions ### What is the difference between PokeClaw and hello-agents? PokeClaw: PokeClaw (PocketClaw), first on-device AI that controls your Android phone. Gemma 4, no cloud, no API key. Poke is short for Pocket.. hello-agents: Course on building intelligent agents from scratch. See the comparison table for live GitHub stats and shared categories. ### When should I choose PokeClaw over hello-agents? Choose PokeClaw over hello-agents when PokeClaw is primarily Kotlin; hello-agents is Python; License: PokeClaw is Apache-2.0, hello-agents is Other; Tags unique to PokeClaw: accessibility, ai-agent, android-automation, gemma4. ### When should I choose hello-agents over PokeClaw? Choose hello-agents over PokeClaw when hello-agents is primarily Python; PokeClaw is Kotlin; License: hello-agents is Other, PokeClaw is Apache-2.0; Requirements: Min 4 GB RAM; Python knowledge assumed; Tags unique to hello-agents: agent, llm, 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 avoid PokeClaw? AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. ### 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. ### Is PokeClaw or hello-agents more popular on GitHub? hello-agents has more GitHub stars (65,432 vs 961). Stars measure visibility, not whether either tool fits your constraints. ### Are PokeClaw and hello-agents open source? Yes - both are open-source projects on GitHub (PokeClaw: Apache-2.0, hello-agents: Other). ### Where can I find alternatives to PokeClaw or hello-agents? GraphCanon lists graph-backed alternatives at [PokeClaw alternatives](/tools/agents-io-pokeclaw/alternatives) and [hello-agents alternatives](/tools/datawhalechina-hello-agents/alternatives) ([PokeClaw markdown twin](/tools/agents-io-pokeclaw/alternatives.md), [hello-agents markdown twin](/tools/datawhalechina-hello-agents/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/agents-io-pokeclaw-vs-datawhalechina-hello-agents.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, PokeClaw or hello-agents? PokeClaw: Steady. hello-agents: 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 PokeClaw and hello-agents? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [PokeClaw trust report](/tools/agents-io-pokeclaw/trust); [hello-agents trust report](/tools/datawhalechina-hello-agents/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=agents-io-pokeclaw`](/api/graphcanon/graph?tool=agents-io-pokeclaw) - 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/_