Comparison
openakita vs agents-from-scratch
Verdict
Pick openakita if decision-relevant data on OpenAkita; 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 · openakita alternatives · agents-from-scratch alternatives
GraphCanon updated Sep 20, 2026
6views this month
vs
Trust & integrity
| Signal | openakita | agents-from-scratch |
|---|---|---|
| Maintenance | Very active (1d since push) As of Sep 20, 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 20, 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
- openakita
- An open-source AI assistant framework with skills and agent architecture
- agents-from-scratch
- Build AI agents locally without relying on frameworks or cloud APIs.
Stars
- openakita
- 2.0k
- agents-from-scratch
- 1.0k
Forks
- openakita
- 277
- agents-from-scratch
- 251
Open issues
- openakita
- 42
- agents-from-scratch
- 4
Language
- openakita
- Python
- agents-from-scratch
- Python
Adopt for
- openakita
- Decision-relevant data on OpenAkita
- 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
- openakita
- -
- agents-from-scratch
- -
Runtime
- openakita
- -
- agents-from-scratch
- -
License
- openakita
- AGPL-3.0
- agents-from-scratch
- MIT License: Permissive licensing allowing free use and distribution for both commercial and non-commercial purposes.
Last pushed
- openakita
- Sep 18, 2026
- agents-from-scratch
- Jul 25, 2026
Categories
- openakita
- AI Agents
- agents-from-scratch
- AI Agents, Developer Tools
Trust and health
Maintenance
- openakita
- Very active (96%)
- agents-from-scratch
- Steady (60%)
Days since push
- openakita
- 1d
- agents-from-scratch
- 56d
Open issues (now)
- openakita
- 42
- agents-from-scratch
- 4
Stars delta
- openakita
- +31 (30d)
- agents-from-scratch
- +63 (30d)
Full report
- openakita
- Trust report
- agents-from-scratch
- Trust report
Shared compatibility
- Python · openakita: Python runtime · agents-from-scratch: Python runtime
Choose openakita if…
- License: openakita is AGPL-3.0, agents-from-scratch is MIT.
- Tags unique to openakita: agent, ai, assistant, automation.
- openakita ships Docker support for self-hosted deployment.
- For developing agents that can be customized with specific modular skills suitable for diverse assistant tasks
When NOT to use openakita
- Avoid if proprietary or non-open source solutions are preferred as OpenAkita's AGPL-3.0 license mandates sharing modifications publicly
- Consider alternatives if a less modular approach is desired, since OpenAkita strongly emphasizes a skills-based agent architecture which may complicate straightforward integrations
Choose agents-from-scratch if…
- License: agents-from-scratch is MIT, openakita is AGPL-3.0.
- 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, 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 (openakita/openakita) · observed Sep 20, 2026
- GitHub forks (openakita/openakita) · observed Sep 20, 2026
- Last push (openakita/openakita) · observed Sep 18, 2026
- License file (AGPL-3.0) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 17, 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: openakita 2.0k · agents-from-scratch 1.0k (synced Sep 20, 2026).
Common questions
- What is the difference between openakita and agents-from-scratch?
- openakita: An open-source AI assistant framework with skills and agent architecture. 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 openakita over agents-from-scratch?
- Choose openakita over agents-from-scratch when License: openakita is AGPL-3.0, agents-from-scratch is MIT; Tags unique to openakita: agent, ai, assistant, automation; openakita ships Docker support for self-hosted deployment; For developing agents that can be customized with specific modular skills suitable for diverse assistant tasks.
- When should I choose agents-from-scratch over openakita?
- Choose agents-from-scratch over openakita when License: agents-from-scratch is MIT, openakita is AGPL-3.0; 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, 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 openakita?
- Avoid if proprietary or non-open source solutions are preferred as OpenAkita's AGPL-3.0 license mandates sharing modifications publicly Consider alternatives if a less modular approach is desired, since OpenAkita strongly emphasizes a skills-based agent architecture which may complicate straightforward integrations
- 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 openakita or agents-from-scratch more popular on GitHub?
- openakita has more GitHub stars (1,986 vs 1,017). Stars measure visibility, not whether either tool fits your constraints.
- Are openakita and agents-from-scratch open source?
- Yes - both are open-source projects on GitHub (openakita: AGPL-3.0, agents-from-scratch: MIT).
- Where can I find alternatives to openakita or agents-from-scratch?
- GraphCanon lists graph-backed alternatives at openakita alternatives and agents-from-scratch alternatives (openakita 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, openakita or agents-from-scratch?
- openakita: 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 openakita and agents-from-scratch?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: openakita trust report; agents-from-scratch trust report.