Home/Compare/lamda vs AutoGPT

Comparison

lamda vs AutoGPT

Verdict

Pick lamda when license: lamda is MIT, AutoGPT is Other; pick AutoGPT when license: AutoGPT is Other, lamda is MIT.

Markdown twin · lamda alternatives · AutoGPT alternatives

GraphCanon updated today

lamda logo

lamda

firerpa/lamda

7.9kpushed Jul 7, 2026
vs
AutoGPT logo

AutoGPT

Significant-Gravitas/AutoGPT

185kpushed Jul 11, 2026

Trust & integrity

SignallamdaAutoGPT
Maintenance
Active (8d since push)
As of today · github_public_v1
Very active (0d since push)
As of 4d · github_public_v1
Provenance
Not a fork · Organization account
As of today · github_public_v1
Not a fork · Organization account
As of 4d · github_public_v1
OSV dependency advisories
No lockfile (source not queried)
As of today · osv@v1
No lockfile (source not queried)
As of 4d · 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

lamda
Android Full-Stack Device Control Platform: WebRTC/H.264 remote desktop, UI/OCR/image-matching automation, one-click MITM, built-in Frida, proxy/VPN/frp/P2P networking, MCP/Agent, 160+ APIs, designed
AutoGPT
AutoGPT is the vision of accessible AI for everyone, to use and to build on.

Stars

lamda
7.9k
AutoGPT
185k

Forks

lamda
1.0k
AutoGPT
46k

Open issues

lamda
44
AutoGPT
494

Language

lamda
Python
AutoGPT
Python

Adopt for

lamda
-
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.

Persona

lamda
-
AutoGPT
-

Runtime

lamda
-
AutoGPT
-

License

lamda
MIT
AutoGPT
Other

Last pushed

lamda
Jul 7, 2026
AutoGPT
Jul 11, 2026

Categories

lamda
AI Agents, Computer Vision, Inference & Serving
AutoGPT
AI Agents, LLM Frameworks

Trust and health

Maintenance

lamda
Active (82%)
AutoGPT
Very active (96%)

Days since push

lamda
8d
AutoGPT
0d

Open issues (now)

lamda
44
AutoGPT
494

Full report

Choose lamda if…

  • License: lamda is MIT, AutoGPT is Other.
  • Tags unique to lamda: adb, android, appium, automation.
  • Also covers Computer Vision, Inference & Serving.

When NOT to use lamda

  • AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism.
  • Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic.

Choose AutoGPT if…

  • License: AutoGPT is Other, lamda is MIT.
  • Tags unique to AutoGPT: agentic-ai, artificial-intelligence, autonomous-agents, claude.
  • 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.

Explore

Sources

Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.

GitHub stars on cards: lamda 7.9k · AutoGPT 185k (synced Jul 15, 2026).

Common questions

What is the difference between lamda and AutoGPT?
lamda: Android Full-Stack Device Control Platform: WebRTC/H.264 remote desktop, UI/OCR/image-matching automation, one-click MITM, built-in Frida, proxy/VPN/frp/P2P networking, MCP/Agent, 160+ APIs, designed . AutoGPT: AutoGPT is the vision of accessible AI for everyone, to use and to build on.. See the comparison table for live GitHub stats and shared categories.
When should I choose lamda over AutoGPT?
Choose lamda over AutoGPT when License: lamda is MIT, AutoGPT is Other; Tags unique to lamda: adb, android, appium, automation; Also covers Computer Vision, Inference & Serving.
When should I choose AutoGPT over lamda?
Choose AutoGPT over lamda when License: AutoGPT is Other, lamda is MIT; Tags unique to AutoGPT: agentic-ai, artificial-intelligence, autonomous-agents, claude; 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 avoid lamda?
AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism. Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic.
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.
Is lamda or AutoGPT more popular on GitHub?
AutoGPT has more GitHub stars (185,464 vs 7,891). Stars measure visibility, not whether either tool fits your constraints.
Are lamda and AutoGPT open source?
Yes - both are open-source projects on GitHub (lamda: MIT, AutoGPT: Other).
Where can I find alternatives to lamda or AutoGPT?
GraphCanon lists graph-backed alternatives at lamda alternatives and AutoGPT alternatives (lamda markdown twin, AutoGPT 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, lamda or AutoGPT?
lamda: Active. AutoGPT: 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 lamda and AutoGPT?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: lamda trust report; AutoGPT trust report.

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