--- title: "AGiXT vs FastGPT" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/josh-xt-agixt-vs-labring-fastgpt" tools: ["josh-xt-agixt", "labring-fastgpt"] --- # AGiXT vs FastGPT *GraphCanon updated Sep 20, 2026* ## Verdict Pick AGiXT if orchestrates diverse AI providers with adaptive memory in Python; pick FastGPT if fastGPT is a knowledge-based platform for developing and deploying complex question-answering systems, offering out-of-the-box capabilities for data processing, RAG retrieval, and visual AI workflow orchestration. [AGiXT](https://AGiXT.com) reports 3.2k GitHub stars, 446 forks, and 4 open issues, last pushed Jul 28, 2026. [FastGPT](https://fastgpt.io) has 30k stars, 7.3k forks, and 170 open issues, last pushed Sep 18, 2026. Figures are from public GitHub metadata via [AGiXT's repository](https://github.com/Josh-XT/AGiXT) and [FastGPT's repository](https://github.com/labring/FastGPT). | | [AGiXT](/tools/josh-xt-agixt.md) | [FastGPT](/tools/labring-fastgpt.md) | | --- | --- | --- | | Tagline | Dynamic AI Agent Automation Platform | A knowledge-based platform for developing and deploying complex question-answering systems | | Stars | 3,216 | 29,690 | | Forks | 446 | 7,320 | | Open issues | 4 | 170 | | Language | Python | TypeScript | | Adopt for | Orchestrates diverse AI providers with adaptive memory in Python. | FastGPT is a knowledge-based platform for developing and deploying complex question-answering systems, offering out-of-the-box capabilities for data processing, RAG retrieval, and visual AI workflow orchestration. | | Persona | - | - | | Runtime | - | - | | License | MIT | Other | | Categories | AI Agents, Data & Retrieval | AI Agents, Data & Retrieval, Developer Tools, Model Training | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [AGiXT](/tools/josh-xt-agixt.md) | [FastGPT](/tools/labring-fastgpt.md) | | --- | --- | --- | | Maintenance | Steady (60%) | Very active (96%) | | Days since push | 53d | 0d | | Open issues (now) | 4 | 170 | | Stars delta | +6 (30d) | +324 (30d) | | Open issues delta | 0 (30d) | +5 (30d) | | Owner type | User | Organization | | Full report | [trust report](/tools/josh-xt-agixt/trust.md) | [trust report](/tools/labring-fastgpt/trust.md) | ## Decision facts: AGiXT - **Adopt for:** Orchestrates diverse AI providers with adaptive memory in Python. ## Decision facts: FastGPT - **Adopt for:** FastGPT is a knowledge-based platform for developing and deploying complex question-answering systems, offering out-of-the-box capabilities for data processing, RAG retrieval, and visual AI workflow orchestration. ## Choose when ### Choose AGiXT if… - AGiXT is primarily Python; FastGPT is TypeScript. - License: AGiXT is MIT, FastGPT is Other. - Tags unique to AGiXT: agent-llm, agi, agixt, ai. - AGiXT ships Docker support for self-hosted deployment. - Need to manage multiple AI providers under one platform ### Choose FastGPT if… - FastGPT is primarily TypeScript; AGiXT is Python. - License: FastGPT is Other, AGiXT is MIT. - Tags unique to FastGPT: agent, claude, deepseek, llm. - Also covers Developer Tools, Model Training. - When you need a comprehensive platform that supports data processing, RAG retrieval, and visual AI workflow orchestration for developing complex question-answering systems. ## When NOT to use AGiXT - Looking for a single-AI provider solution - Do not require complex, plugin-based customization and automation ## When NOT to use FastGPT - If you are looking for a platform that supports real-time AI plugin generation, as this feature is not yet available in FastGPT. - When you need a platform that supports RAG module hot updates or Agent-loop hot updates, as these features are currently under development. - If you require advanced debugging modes for complex workflows, as this feature is not yet implemented in FastGPT. ## Common questions ### What is the difference between AGiXT and FastGPT? AGiXT: Dynamic AI Agent Automation Platform. FastGPT: A knowledge-based platform for developing and deploying complex question-answering systems. See the comparison table for live GitHub stats and shared categories. ### When should I choose AGiXT over FastGPT? Choose AGiXT over FastGPT when AGiXT is primarily Python; FastGPT is TypeScript; License: AGiXT is MIT, FastGPT is Other; Tags unique to AGiXT: agent-llm, agi, agixt, ai; AGiXT ships Docker support for self-hosted deployment; Need to manage multiple AI providers under one platform. ### When should I choose FastGPT over AGiXT? Choose FastGPT over AGiXT when FastGPT is primarily TypeScript; AGiXT is Python; License: FastGPT is Other, AGiXT is MIT; Tags unique to FastGPT: agent, claude, deepseek, llm; Also covers Developer Tools, Model Training; When you need a comprehensive platform that supports data processing, RAG retrieval, and visual AI workflow orchestration for developing complex question-answering systems. ### When should I avoid AGiXT? Looking for a single-AI provider solution Do not require complex, plugin-based customization and automation ### When should I avoid FastGPT? If you are looking for a platform that supports real-time AI plugin generation, as this feature is not yet available in FastGPT. When you need a platform that supports RAG module hot updates or Agent-loop hot updates, as these features are currently under development. If you require advanced debugging modes for complex workflows, as this feature is not yet implemented in FastGPT. ### Is AGiXT or FastGPT more popular on GitHub? FastGPT has more GitHub stars (29,690 vs 3,216). Stars measure visibility, not whether either tool fits your constraints. ### Are AGiXT and FastGPT open source? Yes - both are open-source projects on GitHub (AGiXT: MIT, FastGPT: Other). ### Where can I find alternatives to AGiXT or FastGPT? GraphCanon lists graph-backed alternatives at [AGiXT alternatives](/tools/josh-xt-agixt/alternatives) and [FastGPT alternatives](/tools/labring-fastgpt/alternatives) ([AGiXT markdown twin](/tools/josh-xt-agixt/alternatives.md), [FastGPT markdown twin](/tools/labring-fastgpt/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/josh-xt-agixt-vs-labring-fastgpt.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, AGiXT or FastGPT? AGiXT: Steady. FastGPT: 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 AGiXT and FastGPT? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [AGiXT trust report](/tools/josh-xt-agixt/trust); [FastGPT trust report](/tools/labring-fastgpt/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=josh-xt-agixt`](/api/graphcanon/graph?tool=josh-xt-agixt) - 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/_