Home/Compare/AutoGPT vs orca

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

AutoGPT logo

AutoGPT

Significant-Gravitas/AutoGPT

187kpushed Aug 15, 2026
vs
orca logo

orca

stablyai/orca

49kpushed Aug 19, 2026

Trust & integrity

SignalAutoGPTorca
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

Typed relationship

AutoGPT alternative orcaBoth 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).

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 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.

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