Comparison
axolotl vs agents-from-scratch
Verdict
Pick axolotl if axolotl is a Python-based framework designed for fine-tuning LLMs, requiring NVIDIA or AMD GPUs, Python 3.11+, and PyTorch ≥2.11.0; 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 · axolotl alternatives · agents-from-scratch alternatives
GraphCanon updated 1w
vs
Trust & integrity
| Signal | axolotl | agents-from-scratch |
|---|---|---|
| Maintenance | Very active (1d since push) As of 3w · github_public_v1 | Active (18d since push) As of 1w · github_public_v1 |
| Provenance | Not a fork · Organization account As of 3w · github_public_v1 | Not a fork · Personal account As of 1w · 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
- axolotl
- Go ahead and axolotl questions
- agents-from-scratch
- Build AI agents locally without relying on frameworks or cloud APIs.
Stars
- axolotl
- 12k
- agents-from-scratch
- 954
Forks
- axolotl
- 1.4k
- agents-from-scratch
- 240
Open issues
- axolotl
- 277
- agents-from-scratch
- 3
Language
- axolotl
- Python
- agents-from-scratch
- Python
Adopt for
- axolotl
- Axolotl is a Python-based framework designed for fine-tuning LLMs, requiring NVIDIA or AMD GPUs, Python 3.11+, and PyTorch ≥2.11.0.
- 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
- axolotl
- -
- agents-from-scratch
- -
Runtime
- axolotl
- -
- agents-from-scratch
- -
License
- axolotl
- Apache-2.0
- agents-from-scratch
- MIT License: Permissive licensing allowing free use and distribution for both commercial and non-commercial purposes.
Last pushed
- axolotl
- Aug 1, 2026
- agents-from-scratch
- Jul 25, 2026
Categories
- axolotl
- LLM Frameworks, Model Training
- agents-from-scratch
- AI Agents, Developer Tools
Trust and health
Maintenance
- axolotl
- Very active (96%)
- agents-from-scratch
- Active (82%)
Days since push
- axolotl
- 1d
- agents-from-scratch
- 18d
Open issues (now)
- axolotl
- 277
- agents-from-scratch
- 3
Owner type
- axolotl
- Organization
- agents-from-scratch
- User
Full report
- axolotl
- Trust report
- agents-from-scratch
- Trust report
Shared compatibility
- Python · axolotl: Python runtime · agents-from-scratch: Python runtime
Choose axolotl if…
- License: axolotl is Apache-2.0, agents-from-scratch is MIT.
- Requirements: Hardware requirement includes either NVIDIA (Ampere series or newer) or AMD GPUs.; Software requirements dictate the use of Python >=3.11, with version 3.12 recommended and PyTorch ≥2.11.0..
- Tags unique to axolotl: fine-tuning.
- Also covers LLM Frameworks, Model Training.
- When working with newer NVIDIA Ampere series GPUs or modern AMD GPUs to leverage `bf16` and Flash Attention.
When NOT to use axolotl
- If you are constrained by older GPU models that do not support the required features like `bf16` or if your system does not have an NVIDIA or AMD GPU.
- In environments where Python version must be less than 3.11, as Axolotl requires at least Python 3.11 for operation.
Choose agents-from-scratch if…
- License: agents-from-scratch is MIT, axolotl is Apache-2.0.
- 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, local-llm, no-framework.
- Also covers AI Agents, 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 (axolotl-ai-cloud/axolotl) · observed Aug 3, 2026
- GitHub forks (axolotl-ai-cloud/axolotl) · observed Aug 3, 2026
- Last push (axolotl-ai-cloud/axolotl) · observed Aug 1, 2026
- License file (Apache-2.0) · observed Aug 3, 2026
- Decision facts (enrichment) · observed Jul 14, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- 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 on cards: axolotl 12k · agents-from-scratch 954 (synced Aug 3, 2026).
Common questions
- What is the difference between axolotl and agents-from-scratch?
- axolotl: Go ahead and axolotl questions. 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 axolotl over agents-from-scratch?
- Choose axolotl over agents-from-scratch when License: axolotl is Apache-2.0, agents-from-scratch is MIT; Requirements: Hardware requirement includes either NVIDIA (Ampere series or newer) or AMD GPUs.; Software requirements dictate the use of Python >=3.11, with version 3.12 recommended and PyTorch ≥2.11.0.; Tags unique to axolotl: fine-tuning; Also covers LLM Frameworks, Model Training; When working with newer NVIDIA Ampere series GPUs or modern AMD GPUs to leverage
bf16and Flash Attention. - When should I choose agents-from-scratch over axolotl?
- Choose agents-from-scratch over axolotl when License: agents-from-scratch is MIT, axolotl is Apache-2.0; 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, local-llm, no-framework; Also covers AI Agents, 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 axolotl?
- If you are constrained by older GPU models that do not support the required features like
bf16or if your system does not have an NVIDIA or AMD GPU. In environments where Python version must be less than 3.11, as Axolotl requires at least Python 3.11 for operation. - 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 axolotl or agents-from-scratch more popular on GitHub?
- axolotl has more GitHub stars (12,297 vs 954). Stars measure visibility, not whether either tool fits your constraints.
- Are axolotl and agents-from-scratch open source?
- Yes - both are open-source projects on GitHub (axolotl: Apache-2.0, agents-from-scratch: MIT).
- Where can I find alternatives to axolotl or agents-from-scratch?
- GraphCanon lists graph-backed alternatives at axolotl alternatives and agents-from-scratch alternatives (axolotl 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, axolotl or agents-from-scratch?
- axolotl: Very active. agents-from-scratch: 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 axolotl and agents-from-scratch?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: axolotl trust report; agents-from-scratch trust report.