--- title: "agents-from-scratch vs pyspur" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/pguso-agents-from-scratch-vs-pyspur-dev-pyspur" tools: ["pguso-agents-from-scratch", "pyspur-dev-pyspur"] --- # agents-from-scratch vs pyspur *GraphCanon updated Aug 18, 2026* ## Verdict 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; pick pyspur if pySpur is a TypeScript-based platform for developing AI agents featuring multimodal interactions and human-in-the-loop capabilities. [agents-from-scratch](https://github.com/pguso/agents-from-scratch) reports 954 GitHub stars, 240 forks, and 3 open issues, last pushed Jul 25, 2026. [pyspur](https://pyspur.dev) has 5.8k stars, 429 forks, and 41 open issues, last pushed Jun 29, 2026. Figures are from public GitHub metadata via [agents-from-scratch's repository](https://github.com/pguso/agents-from-scratch) and [pyspur's repository](https://github.com/PySpur-Dev/pyspur). | | [agents-from-scratch](/tools/pguso-agents-from-scratch.md) | [pyspur](/tools/pyspur-dev-pyspur.md) | | --- | --- | --- | | Tagline | Build AI agents locally without relying on frameworks or cloud APIs. | A visual playground for agentic workflows | | Stars | 954 | 5,771 | | Forks | 240 | 429 | | Open issues | 3 | 41 | | Language | Python | TypeScript | | 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. | PySpur is a TypeScript-based platform for developing AI agents featuring multimodal interactions and human-in-the-loop capabilities. | | Persona | - | - | | Runtime | - | - | | License | MIT License: Permissive licensing allowing free use and distribution for both commercial and non-commercial purposes. | Apache-2.0 | | Categories | AI Agents, Developer Tools | AI Agents, Developer Tools | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [agents-from-scratch](/tools/pguso-agents-from-scratch.md) | [pyspur](/tools/pyspur-dev-pyspur.md) | | --- | --- | --- | | Maintenance | Active (82%) | Steady (60%) | | Days since push | 18d | 50d | | Open issues (now) | 3 | 41 | | Stars delta | Unknown | +15 (30d) | | Open issues delta | Unknown | +1 (30d) | | Owner type | User | Organization | | Full report | [trust report](/tools/pguso-agents-from-scratch/trust.md) | [trust report](/tools/pyspur-dev-pyspur/trust.md) | ## Shared compatibility - **Python**: [agents-from-scratch](/tools/pguso-agents-from-scratch.md) - Python runtime; [pyspur](/tools/pyspur-dev-pyspur.md) - Python runtime ## 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. ## Decision facts: pyspur - **Adopt for:** PySpur is a TypeScript-based platform for developing AI agents featuring multimodal interactions and human-in-the-loop capabilities. ## Choose when ### Choose agents-from-scratch if… - agents-from-scratch is primarily Python; pyspur is TypeScript. - License: agents-from-scratch is MIT, pyspur 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. ### Choose pyspur if… - pyspur is primarily TypeScript; agents-from-scratch is Python. - License: pyspur is Apache-2.0, agents-from-scratch is MIT. - Tags unique to pyspur: agent, agents, ai, builder. - pyspur ships Docker support for self-hosted deployment. - Need rapid iteration with visual tools ## 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. ## When NOT to use pyspur - Focus is strictly on server-side automation without UI - Prefer Python for all aspects of development workflow - Require immediate compatibility with PostgreSQL only ## Common questions ### What is the difference between agents-from-scratch and pyspur? agents-from-scratch: Build AI agents locally without relying on frameworks or cloud APIs.. pyspur: A visual playground for agentic workflows. See the comparison table for live GitHub stats and shared categories. ### When should I choose agents-from-scratch over pyspur? Choose agents-from-scratch over pyspur when agents-from-scratch is primarily Python; pyspur is TypeScript; License: agents-from-scratch is MIT, pyspur 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 choose pyspur over agents-from-scratch? Choose pyspur over agents-from-scratch when pyspur is primarily TypeScript; agents-from-scratch is Python; License: pyspur is Apache-2.0, agents-from-scratch is MIT; Tags unique to pyspur: agent, agents, ai, builder; pyspur ships Docker support for self-hosted deployment; Need rapid iteration with visual tools. ### 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. ### When should I avoid pyspur? Focus is strictly on server-side automation without UI Prefer Python for all aspects of development workflow Require immediate compatibility with PostgreSQL only ### Is agents-from-scratch or pyspur more popular on GitHub? pyspur has more GitHub stars (5,771 vs 954). Stars measure visibility, not whether either tool fits your constraints. ### Are agents-from-scratch and pyspur open source? Yes - both are open-source projects on GitHub (agents-from-scratch: MIT, pyspur: Apache-2.0). ### Where can I find alternatives to agents-from-scratch or pyspur? GraphCanon lists graph-backed alternatives at [agents-from-scratch alternatives](/tools/pguso-agents-from-scratch/alternatives) and [pyspur alternatives](/tools/pyspur-dev-pyspur/alternatives) ([agents-from-scratch markdown twin](/tools/pguso-agents-from-scratch/alternatives.md), [pyspur markdown twin](/tools/pyspur-dev-pyspur/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/pguso-agents-from-scratch-vs-pyspur-dev-pyspur.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, agents-from-scratch or pyspur? agents-from-scratch: Active. pyspur: 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 agents-from-scratch and pyspur? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [agents-from-scratch trust report](/tools/pguso-agents-from-scratch/trust); [pyspur trust report](/tools/pyspur-dev-pyspur/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=pguso-agents-from-scratch`](/api/graphcanon/graph?tool=pguso-agents-from-scratch) - 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/_