Comparison
FastGPT vs AutoGPT
Verdict
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; pick AutoGPT if autoGPT is a platform for building and using autonomous AI agents, offering both self-hosting and managed service options.
Markdown twin · FastGPT alternatives · AutoGPT alternatives
GraphCanon updated Sep 20, 2026
14views this month
vs
Trust & integrity
| Signal | FastGPT | AutoGPT |
|---|---|---|
| Maintenance | Very active (0d since push) As of Sep 18, 2026 · github_public_v1 | Very active (0d since push) As of Sep 18, 2026 · github_public_v1 |
| Provenance | Not a fork · Organization account As of Sep 18, 2026 · github_public_v1 | Not a fork · Organization account As of Sep 18, 2026 · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of Sep 18, 2026 · osv@v1 | No lockfile (source not queried) As of Sep 18, 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
- FastGPT
- A knowledge-based platform for developing and deploying complex question-answering systems
- AutoGPT
- Accessible AI for everyone, providing tools for focus on what matters
Stars
- FastGPT
- 30k
- AutoGPT
- 187k
Forks
- FastGPT
- 7.3k
- AutoGPT
- 46k
Open issues
- FastGPT
- 170
- AutoGPT
- 593
Language
- FastGPT
- TypeScript
- AutoGPT
- Python
Adopt for
- FastGPT
- 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.
- AutoGPT
- AutoGPT is a platform for building and using autonomous AI agents, offering both self-hosting and managed service options.
Persona
- FastGPT
- -
- AutoGPT
- -
Runtime
- FastGPT
- -
- AutoGPT
- -
License
- FastGPT
- Other
- AutoGPT
- AutoGPT's `autogpt_platform/` component is licensed under Polyform Shield, which is free for personal and internal business use but cannot be sold as a competing hosted service. The `classic/` and all
Last pushed
- FastGPT
- Sep 18, 2026
- AutoGPT
- Sep 18, 2026
Categories
- FastGPT
- AI Agents, Data & Retrieval, Developer Tools, Model Training
- AutoGPT
- AI Agents, Developer Tools
Trust and health
Open issues (now)
- FastGPT
- 170
- AutoGPT
- 593
Stars delta
- FastGPT
- +324 (30d)
- AutoGPT
- +801 (30d)
Open issues delta
- FastGPT
- +5 (30d)
- AutoGPT
- +76 (30d)
Full report
- FastGPT
- Trust report
- AutoGPT
- Trust report
Choose FastGPT if…
- FastGPT is primarily TypeScript; AutoGPT is Python.
- Tags unique to FastGPT: agent, deepseek, llm, mcp.
- Also covers Data & Retrieval, 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 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.
Choose AutoGPT if…
- AutoGPT is primarily Python; FastGPT is TypeScript.
- Tags unique to AutoGPT: agentic-ai, agents, ai, artificial-intelligence.
- When you need full control over your infrastructure and data, as self-hosting allows you to run AutoGPT on your own servers.
When NOT to use AutoGPT
- If you require immediate setup without the need for infrastructure management, as the managed service option is more suitable for quick deployment.
- When you are looking for a fully managed solution with built-in model access, as the managed platform handles updates and operations for you.
- If you are seeking a paid plan with plan-dependent support, as the self-hosted option relies on community support.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (labring/FastGPT) · observed Sep 20, 2026
- GitHub forks (labring/FastGPT) · observed Sep 20, 2026
- Last push (labring/FastGPT) · observed Sep 18, 2026
- License file (Other) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Sep 18, 2026
- Trust scan (lockfile / OSV) · observed Sep 18, 2026
- GitHub stars (Significant-Gravitas/AutoGPT) · observed Sep 20, 2026
- GitHub forks (Significant-Gravitas/AutoGPT) · observed Sep 20, 2026
- Last push (Significant-Gravitas/AutoGPT) · observed Sep 18, 2026
- License file (Other) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Sep 18, 2026
- Trust scan (lockfile / OSV) · observed Sep 18, 2026
GitHub stars on cards: FastGPT 30k · AutoGPT 187k (synced Sep 20, 2026).
Common questions
- What is the difference between FastGPT and AutoGPT?
- FastGPT: A knowledge-based platform for developing and deploying complex question-answering systems. AutoGPT: Accessible AI for everyone, providing tools for focus on what matters. See the comparison table for live GitHub stats and shared categories.
- When should I choose FastGPT over AutoGPT?
- Choose FastGPT over AutoGPT when FastGPT is primarily TypeScript; AutoGPT is Python; Tags unique to FastGPT: agent, deepseek, llm, mcp; Also covers Data & Retrieval, 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 choose AutoGPT over FastGPT?
- Choose AutoGPT over FastGPT when AutoGPT is primarily Python; FastGPT is TypeScript; Tags unique to AutoGPT: agentic-ai, agents, ai, artificial-intelligence; When you need full control over your infrastructure and data, as self-hosting allows you to run AutoGPT on your own servers.
- 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.
- When should I avoid AutoGPT?
- If you require immediate setup without the need for infrastructure management, as the managed service option is more suitable for quick deployment. When you are looking for a fully managed solution with built-in model access, as the managed platform handles updates and operations for you. If you are seeking a paid plan with plan-dependent support, as the self-hosted option relies on community support.
- Is FastGPT or AutoGPT more popular on GitHub?
- AutoGPT has more GitHub stars (187,424 vs 29,690). Stars measure visibility, not whether either tool fits your constraints.
- Are FastGPT and AutoGPT open source?
- Yes - both are open-source projects on GitHub (FastGPT: Other, AutoGPT: Other).
- Where can I find alternatives to FastGPT or AutoGPT?
- GraphCanon lists graph-backed alternatives at FastGPT alternatives and AutoGPT alternatives (FastGPT markdown twin, AutoGPT 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, FastGPT or AutoGPT?
- FastGPT: Very active. AutoGPT: 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 FastGPT and AutoGPT?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: FastGPT trust report; AutoGPT trust report.