Comparison
oh-my-opencode-slim vs agents-from-scratch
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.
Markdown twin · oh-my-opencode-slim alternatives · agents-from-scratch alternatives
GraphCanon updated Sep 20, 2026
6views this month
vs
Trust & integrity
| Signal | oh-my-opencode-slim | agents-from-scratch |
|---|---|---|
| Maintenance | Very active (0d since push) As of Sep 18, 2026 · github_public_v1 | Steady (56d since push) As of Sep 20, 2026 · github_public_v1 |
| Provenance | Not a fork · Personal account As of Sep 18, 2026 · github_public_v1 | Not a fork · Personal account As of Sep 20, 2026 · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of Jul 15, 2026 · osv@v1 | No lockfile (source not queried) As of Jul 15, 2026 · osv@v1 |
| deps.dev advisories | Not queried deps.dev@v1 | Not queried deps.dev@v1 |
| OpenSSF Scorecard | Not queried openssf-scorecard@v1 | Not queried openssf-scorecard@v1 |
Tagline
- 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.
Stars
- oh-my-opencode-slim
- 8.9k
- agents-from-scratch
- 1.0k
Forks
- oh-my-opencode-slim
- 531
- agents-from-scratch
- 251
Open issues
- oh-my-opencode-slim
- 47
- agents-from-scratch
- 4
Language
- oh-my-opencode-slim
- TypeScript
- agents-from-scratch
- Python
Adopt for
- oh-my-opencode-slim
- 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
- 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
- oh-my-opencode-slim
- -
- agents-from-scratch
- -
Runtime
- oh-my-opencode-slim
- -
- agents-from-scratch
- -
License
- oh-my-opencode-slim
- oh-my-opencode-slim is licensed under MIT, allowing broad usage rights across various projects with attribution required.
- agents-from-scratch
- MIT License: Permissive licensing allowing free use and distribution for both commercial and non-commercial purposes.
Last pushed
- oh-my-opencode-slim
- Sep 18, 2026
- agents-from-scratch
- Jul 25, 2026
Categories
- oh-my-opencode-slim
- AI Agents
- agents-from-scratch
- AI Agents, Developer Tools
Trust and health
Maintenance
- oh-my-opencode-slim
- Very active (96%)
- agents-from-scratch
- Steady (60%)
Days since push
- oh-my-opencode-slim
- 0d
- agents-from-scratch
- 56d
Open issues (now)
- oh-my-opencode-slim
- 47
- agents-from-scratch
- 4
Stars delta
- oh-my-opencode-slim
- +989 (30d)
- agents-from-scratch
- +63 (30d)
Open issues delta
- oh-my-opencode-slim
- +22 (30d)
- agents-from-scratch
- +1 (30d)
Full report
- oh-my-opencode-slim
- Trust report
- agents-from-scratch
- Trust report
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.
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.
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 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.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (alvinunreal/oh-my-opencode-slim) · observed Sep 20, 2026
- GitHub forks (alvinunreal/oh-my-opencode-slim) · observed Sep 20, 2026
- Last push (alvinunreal/oh-my-opencode-slim) · observed Sep 18, 2026
- License file (MIT) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 16, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
- GitHub stars (pguso/agents-from-scratch) · observed Sep 20, 2026
- GitHub forks (pguso/agents-from-scratch) · observed Sep 20, 2026
- Last push (pguso/agents-from-scratch) · observed Jul 25, 2026
- License file (MIT) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
GitHub stars on cards: oh-my-opencode-slim 8.9k · agents-from-scratch 1.0k (synced Sep 20, 2026).
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 and agents-from-scratch alternatives (oh-my-opencode-slim markdown twin, agents-from-scratch markdown twin), 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 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; agents-from-scratch trust report.