Comparison
AutoGPT vs sphere
Verdict
Pick AutoGPT if 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; pick sphere if sphere is a specialized AI-driven Web3 platform aimed at the Unicity network, integrating an advanced dual-layer crypto wallet with communication and marketplace functionalities.
Markdown twin · AutoGPT alternatives · sphere alternatives
GraphCanon updated 1d
vs
Trust & integrity
| Signal | AutoGPT | sphere |
|---|---|---|
| Maintenance | Very active (0d since push) As of 6d · github_public_v1 | Very active (1d since push) As of 1d · github_public_v1 |
| Provenance | Not a fork · Organization account As of 6d · github_public_v1 | Not a fork · Organization account As of 1d · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of 1mo · osv@v1 | No lockfile (source not queried) As of 1mo · 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.
- sphere
- A Web3 wallet and agent platform for the Unicity network
Stars
- AutoGPT
- 187k
- sphere
- 9.7k
Forks
- AutoGPT
- 46k
- sphere
- 53
Open issues
- AutoGPT
- 517
- sphere
- 44
Language
- AutoGPT
- Python
- sphere
- TypeScript
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.
- sphere
- Sphere is a specialized AI-driven Web3 platform aimed at the Unicity network, integrating an advanced dual-layer crypto wallet with communication and marketplace functionalities.
Persona
- AutoGPT
- -
- sphere
- -
Runtime
- AutoGPT
- -
- sphere
- -
License
- AutoGPT
- Other
- sphere
- -
Last pushed
- AutoGPT
- Aug 15, 2026
- sphere
- Aug 18, 2026
Categories
- AutoGPT
- AI Agents, LLM Frameworks
- sphere
- AI Agents
Trust and health
Days since push
- AutoGPT
- 0d
- sphere
- 1d
Open issues (now)
- AutoGPT
- 517
- sphere
- 44
Stars delta
- AutoGPT
- +1.0k (30d)
- sphere
- -54 (30d)
Open issues delta
- AutoGPT
- +19 (30d)
- sphere
- +13 (30d)
Full report
- AutoGPT
- Trust report
- sphere
- Trust report
Choose AutoGPT if…
- AutoGPT is primarily Python; sphere is TypeScript.
- Tags unique to AutoGPT: agentic-ai, agents, ai, artificial-intelligence.
- Also covers LLM Frameworks.
- When you need to rapidly prototype or deploy an autonomous agent using existing language models without deep AI expertise.
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 sphere if…
- sphere is primarily TypeScript; AutoGPT is Python.
- Tags unique to sphere: ai-agents, group-chat, marketplace, wallet.
- sphere ships Docker support for self-hosted deployment.
- Use Sphere if you are focused on engaging with or building applications for the Unicity network. It provides tailored AI agent support within this specific ecosystem.
When NOT to use sphere
- Avoid Sphere if your primary needs lie outside the capabilities of the Unicity network, as its features are bespoke to this particular ecosystem.
- Do not choose Sphere if detailed transparency around licensing terms is crucial for your project since it operates under undisclosed license conditions.
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 Aug 16, 2026
- GitHub forks (Significant-Gravitas/AutoGPT) · observed Aug 16, 2026
- Last push (Significant-Gravitas/AutoGPT) · observed Aug 15, 2026
- License file (Other) · observed Aug 16, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (unicity-sphere/sphere) · observed Aug 20, 2026
- GitHub forks (unicity-sphere/sphere) · observed Aug 20, 2026
- Last push (unicity-sphere/sphere) · observed Aug 18, 2026
- License file (unknown) · observed Aug 20, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: AutoGPT 187k · sphere 9.7k (synced Aug 16, 2026).
Common questions
- What is the difference between AutoGPT and sphere?
- AutoGPT: AutoGPT is the vision of accessible AI for everyone, to use and to build on.. sphere: A Web3 wallet and agent platform for the Unicity network. See the comparison table for live GitHub stats and shared categories.
- When should I choose AutoGPT over sphere?
- Choose AutoGPT over sphere when AutoGPT is primarily Python; sphere is TypeScript; Tags unique to AutoGPT: agentic-ai, agents, ai, artificial-intelligence; Also covers LLM Frameworks; When you need to rapidly prototype or deploy an autonomous agent using existing language models without deep AI expertise.
- When should I choose sphere over AutoGPT?
- Choose sphere over AutoGPT when sphere is primarily TypeScript; AutoGPT is Python; Tags unique to sphere: ai-agents, group-chat, marketplace, wallet; sphere ships Docker support for self-hosted deployment; Use Sphere if you are focused on engaging with or building applications for the Unicity network. It provides tailored AI agent support within this specific ecosystem.
- 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 sphere?
- Avoid Sphere if your primary needs lie outside the capabilities of the Unicity network, as its features are bespoke to this particular ecosystem. Do not choose Sphere if detailed transparency around licensing terms is crucial for your project since it operates under undisclosed license conditions.
- Is AutoGPT or sphere more popular on GitHub?
- AutoGPT has more GitHub stars (186,623 vs 9,737). Stars measure visibility, not whether either tool fits your constraints.
- Are AutoGPT and sphere open source?
- Yes - both are open-source projects on GitHub.
- Where can I find alternatives to AutoGPT or sphere?
- GraphCanon lists graph-backed alternatives at AutoGPT alternatives and sphere alternatives (AutoGPT markdown twin, sphere 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 sphere?
- AutoGPT: Very active. sphere: 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 AutoGPT and sphere?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: AutoGPT trust report; sphere trust report.