Comparison
AGiXT vs FastGPT
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.
Markdown twin · AGiXT alternatives · FastGPT alternatives
GraphCanon updated Sep 20, 2026
7views this month
Trust & integrity
| Signal | AGiXT | FastGPT |
|---|---|---|
| Maintenance | Steady (53d since push) As of Sep 20, 2026 · github_public_v1 | Very active (0d since push) As of Sep 18, 2026 · github_public_v1 |
| Provenance | Not a fork · Personal account As of Sep 20, 2026 · github_public_v1 | Not a fork · Organization account As of Sep 18, 2026 · github_public_v1 |
| OSV dependency advisories | Published findings As of Jul 11, 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
- AGiXT
- Dynamic AI Agent Automation Platform
- FastGPT
- A knowledge-based platform for developing and deploying complex question-answering systems
Stars
- AGiXT
- 3.2k
- FastGPT
- 30k
Forks
- AGiXT
- 446
- FastGPT
- 7.3k
Open issues
- AGiXT
- 4
- FastGPT
- 170
Language
- AGiXT
- Python
- FastGPT
- TypeScript
Adopt for
- AGiXT
- Orchestrates diverse AI providers with adaptive memory in Python.
- 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.
Persona
- AGiXT
- -
- FastGPT
- -
Runtime
- AGiXT
- -
- FastGPT
- -
License
- AGiXT
- MIT
- FastGPT
- Other
Last pushed
- AGiXT
- Jul 28, 2026
- FastGPT
- Sep 18, 2026
Categories
- AGiXT
- AI Agents, Data & Retrieval
- FastGPT
- AI Agents, Data & Retrieval, Developer Tools, Model Training
Trust and health
Maintenance
- AGiXT
- Steady (60%)
- FastGPT
- Very active (96%)
Days since push
- AGiXT
- 53d
- FastGPT
- 0d
Open issues (now)
- AGiXT
- 4
- FastGPT
- 170
Stars delta
- AGiXT
- +6 (30d)
- FastGPT
- +324 (30d)
Open issues delta
- AGiXT
- 0 (30d)
- FastGPT
- +5 (30d)
Owner type
- AGiXT
- User
- FastGPT
- Organization
OSV dependency advisories
- AGiXT
- Published findings
- FastGPT
- No lockfile (source not queried)
Full report
- AGiXT
- Trust report
- FastGPT
- Trust report
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
When NOT to use AGiXT
- Looking for a single-AI provider solution
- Do not require complex, plugin-based customization and automation
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 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.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (Josh-XT/AGiXT) · observed Sep 20, 2026
- GitHub forks (Josh-XT/AGiXT) · observed Sep 20, 2026
- Last push (Josh-XT/AGiXT) · observed Jul 28, 2026
- License file (MIT) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- 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 on cards: AGiXT 3.2k · FastGPT 30k (synced Sep 20, 2026).
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 and FastGPT alternatives (AGiXT markdown twin, FastGPT 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, 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; FastGPT trust report.