Comparison
MetaClaw vs LlamaFactory
Verdict
Pick MetaClaw when license: MetaClaw is MIT, LlamaFactory is Apache-2.0; pick LlamaFactory when license: LlamaFactory is Apache-2.0, MetaClaw is MIT.
Markdown twin · MetaClaw alternatives · LlamaFactory alternatives
GraphCanon updated today
vs
Trust & integrity
| Signal | MetaClaw | LlamaFactory |
|---|---|---|
| Maintenance | Steady (34d since push) As of today · github_public_v1 | Very active (0d since push) As of today · github_public_v1 |
| Provenance | Not a fork · Organization account As of today · github_public_v1 | Not a fork · Personal account As of today · github_public_v1 |
| Security (OSV) | No lockfile As of today · none | No lockfile As of today · none |
Tagline
- MetaClaw
- 🦞 Just talk to your agent — it learns and EVOLVES 🧬.
- LlamaFactory
- Unified Efficient Fine-Tuning of 100+ LLMs & VLMs
Stars
- MetaClaw
- 3.5k
- LlamaFactory
- 73k
Forks
- MetaClaw
- 445
- LlamaFactory
- 8.9k
Open issues
- MetaClaw
- 16
- LlamaFactory
- 1.1k
Language
- MetaClaw
- Python
- LlamaFactory
- Python
Adopt for
- MetaClaw
- -
- LlamaFactory
- LlamaFactory is a sophisticated tool for fine-tuning numerous large language models and visual language models efficiently using various methods such as LoRA, QLoRA, RLHF, and quantization.
Persona
- MetaClaw
- -
- LlamaFactory
- -
Runtime
- MetaClaw
- -
- LlamaFactory
- -
License
- MetaClaw
- MIT
- LlamaFactory
- Apache-2.0
Last pushed
- MetaClaw
- Jun 7, 2026
- LlamaFactory
- Jul 10, 2026
Categories
- MetaClaw
- Model Training, LLM Frameworks, AI Agents
- LlamaFactory
- Model Training, LLM Frameworks
Trust and health
Maintenance
- MetaClaw
- Steady (60%)
- LlamaFactory
- Very active (96%)
Days since push
- MetaClaw
- 34d
- LlamaFactory
- 0d
Open issues (now)
- MetaClaw
- 16
- LlamaFactory
- 1.1k
Owner type
- MetaClaw
- Organization
- LlamaFactory
- User
Full report
- MetaClaw
- Trust report
- LlamaFactory
- Trust report
Choose MetaClaw if…
- License: MetaClaw is MIT, LlamaFactory is Apache-2.0.
- Tags unique to MetaClaw: meta-learning, metaclaw, lora, llm.
- Also covers AI Agents.
When NOT to use MetaClaw
- Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge.
- LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
- AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism.
Choose LlamaFactory if…
- License: LlamaFactory is Apache-2.0, MetaClaw is MIT.
- Tags unique to LlamaFactory: gemma, deepseek, ai, instruction-tuning.
- When you need to fine-tune over 100 different LLMs or VLMs with efficient methods like LoRA or QLoRA.
When NOT to use LlamaFactory
- When you are looking to fine-tune less popular or niche models that are not supported within the 100+ models covered by LlamaFactory.
- If your project specifically requires custom fine-tuning methods not available in this repository, such as certain versions of PEFT (Parameter Efficient Fine-Tuning) techniques excluding LoRA and QLoa
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (aiming-lab/MetaClaw) · observed Jul 11, 2026
- GitHub forks (aiming-lab/MetaClaw) · observed Jul 11, 2026
- Last push (aiming-lab/MetaClaw) · observed Jun 7, 2026
- License file (MIT) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (hiyouga/LlamaFactory) · observed Jul 11, 2026
- GitHub forks (hiyouga/LlamaFactory) · observed Jul 11, 2026
- Last push (hiyouga/LlamaFactory) · observed Jul 10, 2026
- License file (Apache-2.0) · observed Jul 11, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: MetaClaw 3.5k · LlamaFactory 73k (synced Jul 11, 2026).
Common questions
- What is the difference between MetaClaw and LlamaFactory?
- MetaClaw: 🦞 Just talk to your agent — it learns and EVOLVES 🧬.. LlamaFactory: Unified Efficient Fine-Tuning of 100+ LLMs & VLMs. See the comparison table for live GitHub stats and shared categories.
- When should I choose MetaClaw over LlamaFactory?
- Choose MetaClaw over LlamaFactory when License: MetaClaw is MIT, LlamaFactory is Apache-2.0; Tags unique to MetaClaw: meta-learning, metaclaw, lora, llm; Also covers AI Agents.
- When should I choose LlamaFactory over MetaClaw?
- Choose LlamaFactory over MetaClaw when License: LlamaFactory is Apache-2.0, MetaClaw is MIT; Tags unique to LlamaFactory: gemma, deepseek, ai, instruction-tuning; When you need to fine-tune over 100 different LLMs or VLMs with efficient methods like LoRA or QLoRA.
- When should I avoid MetaClaw?
- Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism.
- When should I avoid LlamaFactory?
- When you are looking to fine-tune less popular or niche models that are not supported within the 100+ models covered by LlamaFactory. If your project specifically requires custom fine-tuning methods not available in this repository, such as certain versions of PEFT (Parameter Efficient Fine-Tuning) techniques excluding LoRA and QLoa
- Is MetaClaw or LlamaFactory more popular on GitHub?
- LlamaFactory has more GitHub stars (73,157 vs 3,466). Stars measure visibility, not whether either tool fits your constraints.
- Are MetaClaw and LlamaFactory open source?
- Yes - both are open-source projects on GitHub (MetaClaw: MIT, LlamaFactory: Apache-2.0).
- Where can I find alternatives to MetaClaw or LlamaFactory?
- GraphCanon lists graph-backed alternatives at MetaClaw alternatives and LlamaFactory alternatives (MetaClaw markdown twin, LlamaFactory 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, MetaClaw or LlamaFactory?
- MetaClaw: Steady. LlamaFactory: 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 MetaClaw and LlamaFactory?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: MetaClaw trust report; LlamaFactory trust report.