--- title: "PraisonAI vs agents-from-scratch" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/mervinpraison-praisonai-vs-pguso-agents-from-scratch" tools: ["mervinpraison-praisonai", "pguso-agents-from-scratch"] --- # PraisonAI vs agents-from-scratch *GraphCanon updated Aug 12, 2026* ## Verdict Pick PraisonAI if praisonAI is an AI agent framework that allows for the deployment of autonomous and self-improving agents in Python, with built-in memory and support for over 100 language models; 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. [PraisonAI](https://praison.ai/docs) reports 8.5k GitHub stars, 1.3k forks, and 50 open issues, last pushed Aug 2, 2026. [agents-from-scratch](https://github.com/pguso/agents-from-scratch) has 954 stars, 240 forks, and 3 open issues, last pushed Jul 25, 2026. Figures are from public GitHub metadata via [PraisonAI's repository](https://github.com/MervinPraison/PraisonAI) and [agents-from-scratch's repository](https://github.com/pguso/agents-from-scratch). | | [PraisonAI](/tools/mervinpraison-praisonai.md) | [agents-from-scratch](/tools/pguso-agents-from-scratch.md) | | --- | --- | --- | | Tagline | Hire a 24/7 AI Workforce | Build AI agents locally without relying on frameworks or cloud APIs. | | Stars | 8,540 | 954 | | Forks | 1,340 | 240 | | Open issues | 50 | 3 | | Language | Python | Python | | Adopt for | PraisonAI is an AI agent framework that allows for the deployment of autonomous and self-improving agents in Python, with built-in memory and support for over 100 language models. | 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 | MIT | MIT License: Permissive licensing allowing free use and distribution for both commercial and non-commercial purposes. | | Categories | AI Agents | AI Agents, Developer Tools | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [PraisonAI](/tools/mervinpraison-praisonai.md) | [agents-from-scratch](/tools/pguso-agents-from-scratch.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Active (82%) | | Days since push | 0d | 18d | | Open issues (now) | 50 | 3 | | Full report | [trust report](/tools/mervinpraison-praisonai/trust.md) | [trust report](/tools/pguso-agents-from-scratch/trust.md) | ## Shared compatibility - **Python**: [PraisonAI](/tools/mervinpraison-praisonai.md) - Python runtime; [agents-from-scratch](/tools/pguso-agents-from-scratch.md) - Python runtime ## Decision facts: PraisonAI - **Adopt for:** PraisonAI is an AI agent framework that allows for the deployment of autonomous and self-improving agents in Python, with built-in memory and support for over 100 language models. ## 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 PraisonAI if… - Tags unique to PraisonAI: agents, ai-agent-framework, deployment-tools, llm-integration. - Use PraisonAI when you need to quickly deploy autonomous agents that can handle complex tasks such as research, planning, coding, and execution without the need for extensive boilerplate code. - More GitHub stars (8.5k vs 954) - visibility, not fit. ### Choose agents-from-scratch if… - 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, llm, local-llm. - Also covers Developer Tools. - 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 PraisonAI - Avoid PraisonAI if you are working in an environment where Python development is not supported or desired. - Do not use PraisonAI if your application requires manual oversight at every step; this tool is made for autonomous actions and may lack customization options that require more direct human input. ## 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 PraisonAI and agents-from-scratch? PraisonAI: Hire a 24/7 AI Workforce. 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 PraisonAI over agents-from-scratch? Choose PraisonAI over agents-from-scratch when Tags unique to PraisonAI: agents, ai-agent-framework, deployment-tools, llm-integration; Use PraisonAI when you need to quickly deploy autonomous agents that can handle complex tasks such as research, planning, coding, and execution without the need for extensive boilerplate code; More GitHub stars (8.5k vs 954) - visibility, not fit. ### When should I choose agents-from-scratch over PraisonAI? Choose agents-from-scratch over PraisonAI when 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, llm, local-llm; Also covers Developer Tools; 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 PraisonAI? Avoid PraisonAI if you are working in an environment where Python development is not supported or desired. Do not use PraisonAI if your application requires manual oversight at every step; this tool is made for autonomous actions and may lack customization options that require more direct human input. ### 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 PraisonAI or agents-from-scratch more popular on GitHub? PraisonAI has more GitHub stars (8,540 vs 954). Stars measure visibility, not whether either tool fits your constraints. ### Are PraisonAI and agents-from-scratch open source? Yes - both are open-source projects on GitHub (PraisonAI: MIT, agents-from-scratch: MIT). ### Where can I find alternatives to PraisonAI or agents-from-scratch? GraphCanon lists graph-backed alternatives at [PraisonAI alternatives](/tools/mervinpraison-praisonai/alternatives) and [agents-from-scratch alternatives](/tools/pguso-agents-from-scratch/alternatives) ([PraisonAI markdown twin](/tools/mervinpraison-praisonai/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/mervinpraison-praisonai-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, PraisonAI or agents-from-scratch? PraisonAI: Very active. agents-from-scratch: 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 PraisonAI and agents-from-scratch? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [PraisonAI trust report](/tools/mervinpraison-praisonai/trust); [agents-from-scratch trust report](/tools/pguso-agents-from-scratch/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=mervinpraison-praisonai`](/api/graphcanon/graph?tool=mervinpraison-praisonai) - 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/_