--- title: "astron-rpa vs agents-from-scratch" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/iflytek-astron-rpa-vs-pguso-agents-from-scratch" tools: ["iflytek-astron-rpa", "pguso-agents-from-scratch"] --- # astron-rpa vs agents-from-scratch *GraphCanon updated Sep 20, 2026* ## Verdict Pick astron-rpa if astron-rpa integrates AI agents for robust automation in various environments using Java, with a focus on data privacy and security compliance; pick agents-from-scratch if agents-from-scratch is for those who want absolute control over their AI agent development using only local resources and Python, focusing on deep learning without relying on external frameworks or cloud dependencies. [astron-rpa](http://www.iflyrpa.com) reports 5.5k GitHub stars, 598 forks, and 58 open issues, last pushed Sep 16, 2026. [agents-from-scratch](https://github.com/pguso/agents-from-scratch) has 1.0k stars, 251 forks, and 4 open issues, last pushed Jul 25, 2026. Figures are from public GitHub metadata via [astron-rpa's repository](https://github.com/iflytek/astron-rpa) and [agents-from-scratch's repository](https://github.com/pguso/agents-from-scratch). | | [astron-rpa](/tools/iflytek-astron-rpa.md) | [agents-from-scratch](/tools/pguso-agents-from-scratch.md) | | --- | --- | --- | | Tagline | Agent-ready RPA suite with automation tools for various environments | Build AI agents locally without relying on frameworks or cloud APIs. | | Stars | 5,542 | 1,017 | | Forks | 598 | 251 | | Open issues | 58 | 4 | | Language | Python | Python | | Adopt for | astron-rpa integrates AI agents for robust automation in various environments using Java, with a focus on data privacy and security compliance. | agents-from-scratch is for those who want absolute control over their AI agent development using only local resources and Python, focusing on deep learning without relying on external frameworks or cloud dependencies. | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | MIT License: Permissive licensing allowing free use and distribution for both commercial and non-commercial purposes. | | Categories | AI Agents, Developer Tools | AI Agents, Developer Tools | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [astron-rpa](/tools/iflytek-astron-rpa.md) | [agents-from-scratch](/tools/pguso-agents-from-scratch.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Steady (60%) | | Days since push | 4d | 56d | | Open issues (now) | 58 | 4 | | Stars delta | -268 (30d) | +63 (30d) | | Open issues delta | +15 (30d) | +1 (30d) | | Owner type | Organization | User | | Full report | [trust report](/tools/iflytek-astron-rpa/trust.md) | [trust report](/tools/pguso-agents-from-scratch/trust.md) | ## Shared compatibility - **Python**: [astron-rpa](/tools/iflytek-astron-rpa.md) - Python runtime; [agents-from-scratch](/tools/pguso-agents-from-scratch.md) - Python runtime ## Decision facts: astron-rpa - **Adopt for:** astron-rpa integrates AI agents for robust automation in various environments using Java, with a focus on data privacy and security compliance. ## Decision facts: agents-from-scratch - **Requirements:** Min 8 GB RAM; Local large language model availability is critical as the tool does not utilize any cloud APIs. - **Adopt for:** agents-from-scratch is for those who want absolute control over their AI agent development using only local resources and Python, focusing on deep learning without relying on external frameworks or cloud dependencies. - **License detail:** MIT License: Permissive licensing allowing free use and distribution for both commercial and non-commercial purposes. ## Choose when ### Choose astron-rpa if… - License: astron-rpa is Apache-2.0, agents-from-scratch is MIT. - Tags unique to astron-rpa: agent, ai, astron, automation. - For enterprises that prioritize security compliance and need self-hosted solutions to maintain control over their data. ### Choose agents-from-scratch if… - License: agents-from-scratch is MIT, astron-rpa is Apache-2.0. - Requirements: Min 8 GB RAM; Local large language model availability is critical as the tool does not utilize any cloud APIs.. - Tags unique to agents-from-scratch: agent-architecture, ai-agents, local-llm, no-framework. - You plan to teach yourself or others about the fundamentals of creating AI agents from ground zero with complete transparency into each layer of architecture. ## When NOT to use astron-rpa - If your team or organization is not comfortable working within the restrictions of Java, preferring multi-platform support or another programming language. - For projects where immediate access to third-party APIs is crucial and self-hosted solutions may add unnecessary layers of complexity in integration. - When strict operational requirements demand real-time task visibility that astron-rpa's architecture does not natively support without significant customization. ## When NOT to use agents-from-scratch - You are working on an application that needs to be deployed quickly. The tool's approach from first principles can be time-consuming compared to using established frameworks. - If you need scalability or cloud capabilities such as easy scaling with demand, this tool will not provide these features since it strictly operates on local infrastructure. ## Common questions ### What is the difference between astron-rpa and agents-from-scratch? astron-rpa: Agent-ready RPA suite with automation tools for various environments. agents-from-scratch: Build AI agents locally without relying on frameworks or cloud APIs.. See the comparison table for live GitHub stats and shared categories. ### When should I choose astron-rpa over agents-from-scratch? Choose astron-rpa over agents-from-scratch when License: astron-rpa is Apache-2.0, agents-from-scratch is MIT; Tags unique to astron-rpa: agent, ai, astron, automation; For enterprises that prioritize security compliance and need self-hosted solutions to maintain control over their data. ### When should I choose agents-from-scratch over astron-rpa? Choose agents-from-scratch over astron-rpa when License: agents-from-scratch is MIT, astron-rpa is Apache-2.0; Requirements: Min 8 GB RAM; Local large language model availability is critical as the tool does not utilize any cloud APIs.; Tags unique to agents-from-scratch: agent-architecture, ai-agents, local-llm, no-framework; You plan to teach yourself or others about the fundamentals of creating AI agents from ground zero with complete transparency into each layer of architecture. ### When should I avoid astron-rpa? If your team or organization is not comfortable working within the restrictions of Java, preferring multi-platform support or another programming language. For projects where immediate access to third-party APIs is crucial and self-hosted solutions may add unnecessary layers of complexity in integration. When strict operational requirements demand real-time task visibility that astron-rpa's architecture does not natively support without significant customization. ### When should I avoid agents-from-scratch? You are working on an application that needs to be deployed quickly. The tool's approach from first principles can be time-consuming compared to using established frameworks. If you need scalability or cloud capabilities such as easy scaling with demand, this tool will not provide these features since it strictly operates on local infrastructure. ### Is astron-rpa or agents-from-scratch more popular on GitHub? astron-rpa has more GitHub stars (5,542 vs 1,017). Stars measure visibility, not whether either tool fits your constraints. ### Are astron-rpa and agents-from-scratch open source? Yes - both are open-source projects on GitHub (astron-rpa: Apache-2.0, agents-from-scratch: MIT). ### Where can I find alternatives to astron-rpa or agents-from-scratch? GraphCanon lists graph-backed alternatives at [astron-rpa alternatives](/tools/iflytek-astron-rpa/alternatives) and [agents-from-scratch alternatives](/tools/pguso-agents-from-scratch/alternatives) ([astron-rpa markdown twin](/tools/iflytek-astron-rpa/alternatives.md), [agents-from-scratch markdown twin](/tools/pguso-agents-from-scratch/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/iflytek-astron-rpa-vs-pguso-agents-from-scratch.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, astron-rpa or agents-from-scratch? astron-rpa: Very active. agents-from-scratch: Steady. 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 astron-rpa and agents-from-scratch? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [astron-rpa trust report](/tools/iflytek-astron-rpa/trust); [agents-from-scratch trust report](/tools/pguso-agents-from-scratch/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=iflytek-astron-rpa`](/api/graphcanon/graph?tool=iflytek-astron-rpa) - 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/_