Comparison
AutoGPT vs py-gpt
Verdict
Pick AutoGPT when tags unique to AutoGPT: agentic-ai, agents, autonomous-agents, gpt; pick py-gpt when tags unique to py-gpt: ai-assistant, autonomous-agent, chatbot, deepseek.
Markdown twin · AutoGPT alternatives · py-gpt alternatives
GraphCanon updated today
vs
Trust & integrity
| Signal | AutoGPT | py-gpt |
|---|---|---|
| Maintenance | Very active (0d since push) As of 4d · github_public_v1 | Slowing (159d since push) As of today · github_public_v1 |
| Provenance | Not a fork · Organization account As of 4d · github_public_v1 | Not a fork · Personal account As of today · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of 4d · osv@v1 | No lockfile (source not queried) As of today · 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
- AutoGPT
- AutoGPT is the vision of accessible AI for everyone, to use and to build on.
- py-gpt
- Desktop AI Assistant powered by GPT-5, GPT-4, o1, o3, Gemini, Claude, Ollama, DeepSeek, Perplexity, Grok, Bielik, chat, vision, voice, RAG, image and video generation, agents, tools, MCP, plugins, spe
Stars
- AutoGPT
- 185k
- py-gpt
- 1.9k
Forks
- AutoGPT
- 46k
- py-gpt
- 333
Open issues
- AutoGPT
- 494
- py-gpt
- 61
Language
- AutoGPT
- Python
- py-gpt
- Python
Adopt for
- AutoGPT
- AutoGPT is a Python-based tool for creating accessible autonomous AI agents that can leverage various LLM APIs including OpenAI's GPT and Anthropic's Claude.
- py-gpt
- -
Persona
- AutoGPT
- -
- py-gpt
- -
Runtime
- AutoGPT
- -
- py-gpt
- -
License
- AutoGPT
- Other
- py-gpt
- Other
Last pushed
- AutoGPT
- Jul 11, 2026
- py-gpt
- Feb 6, 2026
Categories
- AutoGPT
- AI Agents, LLM Frameworks
- py-gpt
- AI Agents, LLM Frameworks, Vector Databases
Trust and health
Maintenance
- AutoGPT
- Very active (96%)
- py-gpt
- Slowing (36%)
Days since push
- AutoGPT
- 0d
- py-gpt
- 159d
Open issues (now)
- AutoGPT
- 494
- py-gpt
- 61
Owner type
- AutoGPT
- Organization
- py-gpt
- User
Full report
- AutoGPT
- Trust report
- py-gpt
- Trust report
Choose AutoGPT if…
- Tags unique to AutoGPT: agentic-ai, agents, autonomous-agents, gpt.
- When you need to rapidly prototype or deploy an autonomous agent using existing language models without deep AI expertise.
- More GitHub stars (185k vs 1.9k) - visibility, not fit.
When NOT to use AutoGPT
- Avoid if you require absolute control over the underlying AI infrastructure and APIs used by your autonomous agents, as AutoGPT imposes its own framework.
- If your project demands proprietary or specialized models that aren't supported by AutoGPT's API ecosystem (e.g., custom TensorFlow or PyTorch models), consider other tools.
Choose py-gpt if…
- Tags unique to py-gpt: ai-assistant, autonomous-agent, chatbot, deepseek.
- Also covers Vector Databases.
- Leaner open-issue backlog (61).
When NOT to use py-gpt
- Last GitHub push was 159 days ago (slowing maintenance, Feb 6, 2026). Validate activity before betting a new project on py-gpt.
- AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism.
- LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
- Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (Significant-Gravitas/AutoGPT) · observed Jul 11, 2026
- GitHub forks (Significant-Gravitas/AutoGPT) · observed Jul 11, 2026
- Last push (Significant-Gravitas/AutoGPT) · observed Jul 11, 2026
- License file (Other) · observed Jul 11, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (szczyglis-dev/py-gpt) · observed Jul 15, 2026
- GitHub forks (szczyglis-dev/py-gpt) · observed Jul 15, 2026
- Last push (szczyglis-dev/py-gpt) · observed Feb 6, 2026
- License file (Other) · observed Jul 15, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
GitHub stars on cards: AutoGPT 185k · py-gpt 1.9k (synced Jul 11, 2026).
Common questions
- What is the difference between AutoGPT and py-gpt?
- AutoGPT: AutoGPT is the vision of accessible AI for everyone, to use and to build on.. py-gpt: Desktop AI Assistant powered by GPT-5, GPT-4, o1, o3, Gemini, Claude, Ollama, DeepSeek, Perplexity, Grok, Bielik, chat, vision, voice, RAG, image and video generation, agents, tools, MCP, plugins, spe. See the comparison table for live GitHub stats and shared categories.
- When should I choose AutoGPT over py-gpt?
- Choose AutoGPT over py-gpt when Tags unique to AutoGPT: agentic-ai, agents, autonomous-agents, gpt; When you need to rapidly prototype or deploy an autonomous agent using existing language models without deep AI expertise; More GitHub stars (185k vs 1.9k) - visibility, not fit.
- When should I choose py-gpt over AutoGPT?
- Choose py-gpt over AutoGPT when Tags unique to py-gpt: ai-assistant, autonomous-agent, chatbot, deepseek; Also covers Vector Databases; Leaner open-issue backlog (61).
- When should I avoid AutoGPT?
- Avoid if you require absolute control over the underlying AI infrastructure and APIs used by your autonomous agents, as AutoGPT imposes its own framework. If your project demands proprietary or specialized models that aren't supported by AutoGPT's API ecosystem (e.g., custom TensorFlow or PyTorch models), consider other tools.
- When should I avoid py-gpt?
- Last GitHub push was 159 days ago (slowing maintenance, Feb 6, 2026). Validate activity before betting a new project on py-gpt. AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate.
- Is AutoGPT or py-gpt more popular on GitHub?
- AutoGPT has more GitHub stars (185,464 vs 1,851). Stars measure visibility, not whether either tool fits your constraints.
- Are AutoGPT and py-gpt open source?
- Yes - both are open-source projects on GitHub (AutoGPT: Other, py-gpt: Other).
- Where can I find alternatives to AutoGPT or py-gpt?
- GraphCanon lists graph-backed alternatives at AutoGPT alternatives and py-gpt alternatives (AutoGPT markdown twin, py-gpt 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, AutoGPT or py-gpt?
- AutoGPT: Very active. py-gpt: Slowing. 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 AutoGPT and py-gpt?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: AutoGPT trust report; py-gpt trust report.