--- title: "oh-my-opencode-slim vs agents-from-scratch" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/alvinunreal-oh-my-opencode-slim-vs-pguso-agents-from-scratch" tools: ["alvinunreal-oh-my-opencode-slim", "pguso-agents-from-scratch"] --- # oh-my-opencode-slim vs agents-from-scratch *GraphCanon updated Sep 20, 2026* ## Verdict Pick oh-my-opencode-slim if oh-my-opencode-slim is an open-source multi-agent system in TypeScript intended for orchestrating tasks across mixed models with automatic task delegation; 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. [oh-my-opencode-slim](https://ohmyopencodeslim.com) reports 8.9k GitHub stars, 531 forks, and 47 open issues, last pushed Sep 18, 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 [oh-my-opencode-slim's repository](https://github.com/alvinunreal/oh-my-opencode-slim) and [agents-from-scratch's repository](https://github.com/pguso/agents-from-scratch). | | [oh-my-opencode-slim](/tools/alvinunreal-oh-my-opencode-slim.md) | [agents-from-scratch](/tools/pguso-agents-from-scratch.md) | | --- | --- | --- | | Tagline | Lean agentic AI suite for model orchestration and task delegation | Build AI agents locally without relying on frameworks or cloud APIs. | | Stars | 8,939 | 1,017 | | Forks | 531 | 251 | | Open issues | 47 | 4 | | Language | TypeScript | Python | | Adopt for | oh-my-opencode-slim is an open-source multi-agent system in TypeScript intended for orchestrating tasks across mixed models with automatic task delegation. | 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 | oh-my-opencode-slim is licensed under MIT, allowing broad usage rights across various projects with attribution required. | 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._ | | [oh-my-opencode-slim](/tools/alvinunreal-oh-my-opencode-slim.md) | [agents-from-scratch](/tools/pguso-agents-from-scratch.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Steady (60%) | | Days since push | 0d | 56d | | Open issues (now) | 47 | 4 | | Stars delta | +989 (30d) | +63 (30d) | | Open issues delta | +22 (30d) | +1 (30d) | | Full report | [trust report](/tools/alvinunreal-oh-my-opencode-slim/trust.md) | [trust report](/tools/pguso-agents-from-scratch/trust.md) | ## Decision facts: oh-my-opencode-slim - **Pricing:** freemium - Being open-source and MIT-licensed, it comes at no cost. However, users might incur expenses related to cloud services or third-party model access. - **Requirements:** Installation and configuration can be done through manual commands using tools like `bunx`.; To maximize benefits, configuring Multiplexer Integration is recommended for background agent management. - **Adopt for:** oh-my-opencode-slim is an open-source multi-agent system in TypeScript intended for orchestrating tasks across mixed models with automatic task delegation. - **License detail:** oh-my-opencode-slim is licensed under MIT, allowing broad usage rights across various projects with attribution required. ## 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 oh-my-opencode-slim if… - oh-my-opencode-slim is primarily TypeScript; agents-from-scratch is Python. - Pricing: Being open-source and MIT-licensed, it comes at no cost. However, users might incur expenses related to cloud services or third-party model access.. - Requirements: Installation and configuration can be done through manual commands using tools like `bunx`.; To maximize benefits, configuring Multiplexer Integration is recommended for background agent management.. - Tags unique to oh-my-opencode-slim: agentic-ai, model-orchestration, multi-agent-suite, task-delegation. - When you need to orchestrate and delegate tasks among various AI models seamlessly, without manual intervention. ### Choose agents-from-scratch if… - agents-from-scratch is primarily Python; oh-my-opencode-slim is TypeScript. - 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 oh-my-opencode-slim - When a simpler system with limited configuration options can meet your needs, as oh-my-opencode-slim requires deep tuning for specific workflows. - If your use case does not benefit from automatic task delegation or mixed model interaction; this tool is designed with these features in mind. ## 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 oh-my-opencode-slim and agents-from-scratch? oh-my-opencode-slim: Lean agentic AI suite for model orchestration and task delegation. 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 oh-my-opencode-slim over agents-from-scratch? Choose oh-my-opencode-slim over agents-from-scratch when oh-my-opencode-slim is primarily TypeScript; agents-from-scratch is Python; Pricing: Being open-source and MIT-licensed, it comes at no cost. However, users might incur expenses related to cloud services or third-party model access.; Requirements: Installation and configuration can be done through manual commands using tools like `bunx`.; To maximize benefits, configuring Multiplexer Integration is recommended for background agent management.; Tags unique to oh-my-opencode-slim: agentic-ai, model-orchestration, multi-agent-suite, task-delegation; When you need to orchestrate and delegate tasks among various AI models seamlessly, without manual intervention. ### When should I choose agents-from-scratch over oh-my-opencode-slim? Choose agents-from-scratch over oh-my-opencode-slim when agents-from-scratch is primarily Python; oh-my-opencode-slim is TypeScript; 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 oh-my-opencode-slim? When a simpler system with limited configuration options can meet your needs, as oh-my-opencode-slim requires deep tuning for specific workflows. If your use case does not benefit from automatic task delegation or mixed model interaction; this tool is designed with these features in mind. ### 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 oh-my-opencode-slim or agents-from-scratch more popular on GitHub? oh-my-opencode-slim has more GitHub stars (8,939 vs 1,017). Stars measure visibility, not whether either tool fits your constraints. ### Are oh-my-opencode-slim and agents-from-scratch open source? Yes - both are open-source projects on GitHub (oh-my-opencode-slim: MIT, agents-from-scratch: MIT). ### Where can I find alternatives to oh-my-opencode-slim or agents-from-scratch? GraphCanon lists graph-backed alternatives at [oh-my-opencode-slim alternatives](/tools/alvinunreal-oh-my-opencode-slim/alternatives) and [agents-from-scratch alternatives](/tools/pguso-agents-from-scratch/alternatives) ([oh-my-opencode-slim markdown twin](/tools/alvinunreal-oh-my-opencode-slim/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/alvinunreal-oh-my-opencode-slim-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, oh-my-opencode-slim or agents-from-scratch? oh-my-opencode-slim: 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 oh-my-opencode-slim and agents-from-scratch? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [oh-my-opencode-slim trust report](/tools/alvinunreal-oh-my-opencode-slim/trust); [agents-from-scratch trust report](/tools/pguso-agents-from-scratch/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=alvinunreal-oh-my-opencode-slim`](/api/graphcanon/graph?tool=alvinunreal-oh-my-opencode-slim) - 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/_