Comparison
AutoGPT vs orca
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 orca if orca specializes in orchestrating multiple AI coding agents simultaneously through a user-friendly interface accessible on both desktop and mobile devices.
Markdown twin · AutoGPT alternatives · orca alternatives
GraphCanon updated 1d
Trust & integrity
| Signal | AutoGPT | orca |
|---|---|---|
| Maintenance | Very active (0d since push) As of 5d · github_public_v1 | Very active (0d since push) As of 1d · github_public_v1 |
| Provenance | Not a fork · Organization account As of 5d · 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.
- orca
- ADE for working with a fleet of parallel agents
Stars
- AutoGPT
- 187k
- orca
- 49k
Forks
- AutoGPT
- 46k
- orca
- 3.4k
Open issues
- AutoGPT
- 517
- orca
- 4.2k
Language
- AutoGPT
- Python
- orca
- 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.
- orca
- Orca specializes in orchestrating multiple AI coding agents simultaneously through a user-friendly interface accessible on both desktop and mobile devices.
Persona
- AutoGPT
- -
- orca
- -
Runtime
- AutoGPT
- -
- orca
- -
License
- AutoGPT
- Other
- orca
- MIT
Last pushed
- AutoGPT
- Aug 15, 2026
- orca
- Aug 19, 2026
Categories
- AutoGPT
- AI Agents, LLM Frameworks
- orca
- AI Agents, Developer Tools
Trust and health
Open issues (now)
- AutoGPT
- 517
- orca
- 4.2k
Stars delta
- AutoGPT
- +1.0k (30d)
- orca
- +26k (30d)
Open issues delta
- AutoGPT
- +19 (30d)
- orca
- +2373 (30d)
Full report
- AutoGPT
- Trust report
- orca
- Trust report
Typed relationship
Choose AutoGPT if…
- AutoGPT is primarily Python; orca is TypeScript.
- License: AutoGPT is Other, orca is MIT.
- Both Autogpt and Orca provide capabilities for running AI-driven agents, but they operate under different frameworks and use cases (Autogpt for automation versus Orca for coding agent orchestration).
- 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 orca if…
- orca is primarily TypeScript; AutoGPT is Python.
- License: orca is MIT, AutoGPT is Other.
- Requirements: Ensure you have the necessary subscriptions for any third-party coding agents intended to be used with Orca..
- Both Autogpt and Orca provide capabilities for running AI-driven agents, but they operate under different frameworks and use cases (Autogpt for automation versus Orca for coding agent orchestration).
- Tags unique to orca: ade, agent-ide, cli, coding-agent.
- Also covers Developer Tools.
- When you need to manage several parallel AI coding agents efficiently for complex software development projects.
When NOT to use orca
- For users who are working in a single-agent environment or those not needing the complexity of managing multiple parallel agents.
- If you prioritize tools tailored for real-time collaborative coding with human developers over managing AI agents, as Orca’s focus is more on agent orchestration.
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 (stablyai/orca) · observed Aug 20, 2026
- GitHub forks (stablyai/orca) · observed Aug 20, 2026
- Last push (stablyai/orca) · observed Aug 19, 2026
- License file (MIT) · 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 · orca 49k (synced Aug 16, 2026).
Common questions
- What is the difference between AutoGPT and orca?
- AutoGPT: AutoGPT is the vision of accessible AI for everyone, to use and to build on.. orca: ADE for working with a fleet of parallel agents. See the comparison table for live GitHub stats and shared categories.
- When should I choose AutoGPT over orca?
- Choose AutoGPT over orca when AutoGPT is primarily Python; orca is TypeScript; License: AutoGPT is Other, orca is MIT; Both Autogpt and Orca provide capabilities for running AI-driven agents, but they operate under different frameworks and use cases (Autogpt for automation versus Orca for coding agent orchestration); 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 orca over AutoGPT?
- Choose orca over AutoGPT when orca is primarily TypeScript; AutoGPT is Python; License: orca is MIT, AutoGPT is Other; Requirements: Ensure you have the necessary subscriptions for any third-party coding agents intended to be used with Orca.; Both Autogpt and Orca provide capabilities for running AI-driven agents, but they operate under different frameworks and use cases (Autogpt for automation versus Orca for coding agent orchestration); Tags unique to orca: ade, agent-ide, cli, coding-agent; Also covers Developer Tools; When you need to manage several parallel AI coding agents efficiently for complex software development projects.
- 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 orca?
- For users who are working in a single-agent environment or those not needing the complexity of managing multiple parallel agents. If you prioritize tools tailored for real-time collaborative coding with human developers over managing AI agents, as Orca’s focus is more on agent orchestration.
- Is AutoGPT or orca more popular on GitHub?
- AutoGPT has more GitHub stars (186,623 vs 49,090). Stars measure visibility, not whether either tool fits your constraints.
- Are AutoGPT and orca open source?
- Yes - both are open-source projects on GitHub (AutoGPT: Other, orca: MIT).
- Where can I find alternatives to AutoGPT or orca?
- GraphCanon lists graph-backed alternatives at AutoGPT alternatives and orca alternatives (AutoGPT markdown twin, orca 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 orca?
- AutoGPT: Very active. orca: 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 orca?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: AutoGPT trust report; orca trust report.