Comparison
agents-from-scratch vs core
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 core if redPlanetHQ/core offers an AI framework for personalized assistants focusing on ai-agent capabilities, ai-memory, and automation. It is self-hosted and open-source under the AGPL.
Markdown twin · agents-from-scratch alternatives · core alternatives
GraphCanon updated Sep 20, 2026
9views this month
vs
Trust & integrity
| Signal | agents-from-scratch | core |
|---|---|---|
| Maintenance | Steady (56d since push) As of Sep 20, 2026 · github_public_v1 | Active (12d since push) As of Sep 20, 2026 · github_public_v1 |
| Provenance | Not a fork · Personal account As of Sep 20, 2026 · github_public_v1 | Not a fork · Organization 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 Aug 2, 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
- agents-from-scratch
- Build AI agents locally without relying on frameworks or cloud APIs.
- core
- Your Personal AI OS
Stars
- agents-from-scratch
- 1.0k
- core
- 2.0k
Forks
- agents-from-scratch
- 251
- core
- 194
Open issues
- agents-from-scratch
- 4
- core
- 211
Language
- agents-from-scratch
- Python
- core
- TypeScript
Adopt for
- 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.
- core
- RedPlanetHQ/core offers an AI framework for personalized assistants focusing on ai-agent capabilities, ai-memory, and automation. It is self-hosted and open-source under the AGPL 3.0 license.
Persona
- agents-from-scratch
- -
- core
- -
Runtime
- agents-from-scratch
- -
- core
- -
License
- agents-from-scratch
- MIT License: Permissive licensing allowing free use and distribution for both commercial and non-commercial purposes.
- core
- Other
Last pushed
- agents-from-scratch
- Jul 25, 2026
- core
- Sep 7, 2026
Categories
- agents-from-scratch
- AI Agents, Developer Tools
- core
- AI Agents, Developer Tools
Trust and health
Maintenance
- agents-from-scratch
- Steady (60%)
- core
- Active (82%)
Days since push
- agents-from-scratch
- 56d
- core
- 12d
Open issues (now)
- agents-from-scratch
- 4
- core
- 211
Stars delta
- agents-from-scratch
- +63 (30d)
- core
- +38 (30d)
Open issues delta
- agents-from-scratch
- +1 (30d)
- core
- +3 (30d)
Owner type
- agents-from-scratch
- User
- core
- Organization
Full report
- agents-from-scratch
- Trust report
- core
- Trust report
Choose agents-from-scratch if…
- agents-from-scratch is primarily Python; core is TypeScript.
- License: agents-from-scratch is MIT, core is Other.
- 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.
- 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.
Choose core if…
- core is primarily TypeScript; agents-from-scratch is Python.
- License: core is Other, agents-from-scratch is MIT.
- Tags unique to core: ai-agent, ai-memory, automation, automations.
- When you require a personalized AI assistant that can integrate with multiple services you use daily.
When NOT to use core
- If you prefer cloud-based solutions over self-hosted options as RedPlanetHQ/core requires local hosting to ensure data privacy and control.
- When looking for a chatbot that operates on-demand instead of an AI assistant that is constantly active in the background.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- 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 (RedPlanetHQ/core) · observed Sep 20, 2026
- GitHub forks (RedPlanetHQ/core) · observed Sep 20, 2026
- Last push (RedPlanetHQ/core) · observed Sep 7, 2026
- License file (Other) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Aug 2, 2026
GitHub stars on cards: agents-from-scratch 1.0k · core 2.0k (synced Sep 20, 2026).
Common questions
- What is the difference between agents-from-scratch and core?
- agents-from-scratch: Build AI agents locally without relying on frameworks or cloud APIs.. core: Your Personal AI OS. See the comparison table for live GitHub stats and shared categories.
- When should I choose agents-from-scratch over core?
- Choose agents-from-scratch over core when agents-from-scratch is primarily Python; core is TypeScript; License: agents-from-scratch is MIT, core is Other; 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; 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 core over agents-from-scratch?
- Choose core over agents-from-scratch when core is primarily TypeScript; agents-from-scratch is Python; License: core is Other, agents-from-scratch is MIT; Tags unique to core: ai-agent, ai-memory, automation, automations; When you require a personalized AI assistant that can integrate with multiple services you use daily.
- 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 core?
- If you prefer cloud-based solutions over self-hosted options as RedPlanetHQ/core requires local hosting to ensure data privacy and control. When looking for a chatbot that operates on-demand instead of an AI assistant that is constantly active in the background.
- Is agents-from-scratch or core more popular on GitHub?
- core has more GitHub stars (1,985 vs 1,017). Stars measure visibility, not whether either tool fits your constraints.
- Are agents-from-scratch and core open source?
- Yes - both are open-source projects on GitHub (agents-from-scratch: MIT, core: Other).
- Where can I find alternatives to agents-from-scratch or core?
- GraphCanon lists graph-backed alternatives at agents-from-scratch alternatives and core alternatives (agents-from-scratch markdown twin, core 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, agents-from-scratch or core?
- agents-from-scratch: Steady. core: 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 agents-from-scratch and core?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: agents-from-scratch trust report; core trust report.