--- title: "axolotl vs agentos" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/axolotl-ai-cloud-axolotl-vs-framerslab-agentos" tools: ["axolotl-ai-cloud-axolotl", "framerslab-agentos"] --- # axolotl vs agentos *GraphCanon updated Aug 23, 2026* ## 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 agentos if agentOS supports eleven LLM providers with runtime tool forging capabilities for cognitive memory in TypeScript. [axolotl](https://docs.axolotl.ai) reports 12k GitHub stars, 1.4k forks, and 277 open issues, last pushed Aug 1, 2026. [agentos](https://docs.agentos.sh) has 617 stars, 92 forks, and 10 open issues, last pushed Aug 7, 2026. Figures are from public GitHub metadata via [axolotl's repository](https://github.com/axolotl-ai-cloud/axolotl) and [agentos's repository](https://github.com/framerslab/agentos). | | [axolotl](/tools/axolotl-ai-cloud-axolotl.md) | [agentos](/tools/framerslab-agentos.md) | | --- | --- | --- | | Tagline | Go ahead and axolotl questions | TypeScript AI agent framework providing cognitive memory and runtime tool forging with support for multi-agent orchestration | | Stars | 12,297 | 617 | | Forks | 1,399 | 92 | | Open issues | 277 | 10 | | Language | Python | TypeScript | | Adopt for | Axolotl is a Python-based framework designed for fine-tuning LLMs, requiring NVIDIA or AMD GPUs, Python 3.11+, and PyTorch ≥2.11.0. | AgentOS supports eleven LLM providers with runtime tool forging capabilities for cognitive memory in TypeScript. | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | Apache-2.0 | | Categories | LLM Frameworks, Model Training | AI Agents | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [axolotl](/tools/axolotl-ai-cloud-axolotl.md) | [agentos](/tools/framerslab-agentos.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Active (82%) | | Days since push | 1d | 15d | | Open issues (now) | 277 | 10 | | Stars delta | Unknown | +16 (30d) | | Open issues delta | Unknown | +1 (30d) | | Full report | [trust report](/tools/axolotl-ai-cloud-axolotl/trust.md) | [trust report](/tools/framerslab-agentos/trust.md) | ## Decision facts: axolotl - **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. - **Adopt for:** Axolotl is a Python-based framework designed for fine-tuning LLMs, requiring NVIDIA or AMD GPUs, Python 3.11+, and PyTorch ≥2.11.0. ## Decision facts: agentos - **Adopt for:** AgentOS supports eleven LLM providers with runtime tool forging capabilities for cognitive memory in TypeScript. ## Choose when ### Choose axolotl if… - axolotl is primarily Python; agentos is TypeScript. - 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, llm. - Also covers LLM Frameworks, Model Training. - When working with newer NVIDIA Ampere series GPUs or modern AMD GPUs to leverage `bf16` and Flash Attention. ### Choose agentos if… - agentos is primarily TypeScript; axolotl is Python. - Tags unique to agentos: agent-framework, cognitive-memory, llm-orchestration, multi-agent. - Also covers AI Agents. - Need for cognitive memory and real-time tool generation in AI agents ## 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. ## When NOT to use agentos - Preferring frameworks without multi-agent orchestration support - Prioritizing environments with less than eleven LLM provider options ## Common questions ### What is the difference between axolotl and agentos? axolotl: Go ahead and axolotl questions. agentos: TypeScript AI agent framework providing cognitive memory and runtime tool forging with support for multi-agent orchestration. See the comparison table for live GitHub stats and shared categories. ### When should I choose axolotl over agentos? Choose axolotl over agentos when axolotl is primarily Python; agentos is TypeScript; 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, llm; 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 should I choose agentos over axolotl? Choose agentos over axolotl when agentos is primarily TypeScript; axolotl is Python; Tags unique to agentos: agent-framework, cognitive-memory, llm-orchestration, multi-agent; Also covers AI Agents; Need for cognitive memory and real-time tool generation in AI agents. ### When should I avoid 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. ### When should I avoid agentos? Preferring frameworks without multi-agent orchestration support Prioritizing environments with less than eleven LLM provider options ### Is axolotl or agentos more popular on GitHub? axolotl has more GitHub stars (12,297 vs 617). Stars measure visibility, not whether either tool fits your constraints. ### Are axolotl and agentos open source? Yes - both are open-source projects on GitHub (axolotl: Apache-2.0, agentos: Apache-2.0). ### Where can I find alternatives to axolotl or agentos? GraphCanon lists graph-backed alternatives at [axolotl alternatives](/tools/axolotl-ai-cloud-axolotl/alternatives) and [agentos alternatives](/tools/framerslab-agentos/alternatives) ([axolotl markdown twin](/tools/axolotl-ai-cloud-axolotl/alternatives.md), [agentos markdown twin](/tools/framerslab-agentos/alternatives.md)), 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](/compare/axolotl-ai-cloud-axolotl-vs-framerslab-agentos.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, axolotl or agentos? axolotl: Very active. agentos: 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 agentos? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [axolotl trust report](/tools/axolotl-ai-cloud-axolotl/trust); [agentos trust report](/tools/framerslab-agentos/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=axolotl-ai-cloud-axolotl`](/api/graphcanon/graph?tool=axolotl-ai-cloud-axolotl) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_