Comparison
agents-from-scratch vs Athena-Public
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 Athena-Public if persistent memory & governed autonomy for AI Agents, built in Python.
Markdown twin · agents-from-scratch alternatives · Athena-Public alternatives
GraphCanon updated 1d
vs
Trust & integrity
| Signal | agents-from-scratch | Athena-Public |
|---|---|---|
| Maintenance | Active (18d since push) As of 1w · github_public_v1 | Very active (0d since push) As of 1d · github_public_v1 |
| Provenance | Not a fork · Personal account As of 1w · github_public_v1 | Not a fork · Personal account As of 1d · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of 1mo · osv@v1 | No lockfile (source not queried) As of 1mo · 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.
- Athena-Public
- The Linux OS for AI Agents
Stars
- agents-from-scratch
- 954
- Athena-Public
- 584
Forks
- agents-from-scratch
- 240
- Athena-Public
- 77
Open issues
- agents-from-scratch
- 3
- Athena-Public
- 0
Language
- agents-from-scratch
- Python
- Athena-Public
- Python
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.
- Athena-Public
- Persistent memory & governed autonomy for AI Agents, built in Python.
Persona
- agents-from-scratch
- -
- Athena-Public
- -
Runtime
- agents-from-scratch
- -
- Athena-Public
- -
License
- agents-from-scratch
- MIT License: Permissive licensing allowing free use and distribution for both commercial and non-commercial purposes.
- Athena-Public
- MIT
Last pushed
- agents-from-scratch
- Jul 25, 2026
- Athena-Public
- Aug 23, 2026
Categories
- agents-from-scratch
- AI Agents, Developer Tools
- Athena-Public
- AI Agents, Developer Tools
Trust and health
Maintenance
- agents-from-scratch
- Active (82%)
- Athena-Public
- Very active (96%)
Days since push
- agents-from-scratch
- 18d
- Athena-Public
- 0d
Open issues (now)
- agents-from-scratch
- 3
- Athena-Public
- 0
Stars delta
- agents-from-scratch
- Unknown
- Athena-Public
- +41 (30d)
Open issues delta
- agents-from-scratch
- Unknown
- Athena-Public
- 0 (30d)
Full report
- agents-from-scratch
- Trust report
- Athena-Public
- Trust report
Shared compatibility
- Python · agents-from-scratch: Python runtime · Athena-Public: Python runtime
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, local-llm, no-framework, python.
- 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 Athena-Public if…
- Tags unique to Athena-Public: chatgpt, framework, google-antigravity, knowledge-management.
- When you need persistent memory and structured reasoning capabilities that enhance any LLM used as an AI agent or assistant.
- More recently updated (last pushed Aug 23, 2026).
When NOT to use Athena-Public
- If your project requires a platform with extensive pre-built integrations beyond mere memory management for LLMs, Athena-Public may not offer sufficient out-of-the-box integration support.
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 Aug 12, 2026
- GitHub forks (pguso/agents-from-scratch) · observed Aug 12, 2026
- Last push (pguso/agents-from-scratch) · observed Jul 25, 2026
- License file (MIT) · observed Aug 12, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
- GitHub stars (winstonkoh87/Athena-Public) · observed Aug 23, 2026
- GitHub forks (winstonkoh87/Athena-Public) · observed Aug 23, 2026
- Last push (winstonkoh87/Athena-Public) · observed Aug 23, 2026
- License file (MIT) · observed Aug 23, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: agents-from-scratch 954 · Athena-Public 584 (synced Aug 12, 2026).
Common questions
- What is the difference between agents-from-scratch and Athena-Public?
- agents-from-scratch: Build AI agents locally without relying on frameworks or cloud APIs.. Athena-Public: The Linux OS for AI Agents. See the comparison table for live GitHub stats and shared categories.
- When should I choose agents-from-scratch over Athena-Public?
- Choose agents-from-scratch over Athena-Public 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, local-llm, no-framework, python; 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 Athena-Public over agents-from-scratch?
- Choose Athena-Public over agents-from-scratch when Tags unique to Athena-Public: chatgpt, framework, google-antigravity, knowledge-management; When you need persistent memory and structured reasoning capabilities that enhance any LLM used as an AI agent or assistant; More recently updated (last pushed Aug 23, 2026).
- 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 Athena-Public?
- If your project requires a platform with extensive pre-built integrations beyond mere memory management for LLMs, Athena-Public may not offer sufficient out-of-the-box integration support.
- Is agents-from-scratch or Athena-Public more popular on GitHub?
- agents-from-scratch has more GitHub stars (954 vs 584). Stars measure visibility, not whether either tool fits your constraints.
- Are agents-from-scratch and Athena-Public open source?
- Yes - both are open-source projects on GitHub (agents-from-scratch: MIT, Athena-Public: MIT).
- Where can I find alternatives to agents-from-scratch or Athena-Public?
- GraphCanon lists graph-backed alternatives at agents-from-scratch alternatives and Athena-Public alternatives (agents-from-scratch markdown twin, Athena-Public 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 Athena-Public?
- agents-from-scratch: Active. Athena-Public: Very 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 Athena-Public?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: agents-from-scratch trust report; Athena-Public trust report.