Home/Compare/AutoGPT vs agent-kernel

Comparison

AutoGPT vs agent-kernel

Verdict

Pick AutoGPT when license: AutoGPT is Other, agent-kernel is Apache-2.0; pick agent-kernel when license: agent-kernel is Apache-2.0, AutoGPT is Other.

Markdown twin · AutoGPT alternatives · agent-kernel alternatives

GraphCanon updated today

AutoGPT logo

AutoGPT

Significant-Gravitas/AutoGPT

185kpushed Jul 11, 2026
vs
agent-kernel logo

agent-kernel

yaalalabs/agent-kernel

92pushed Jul 15, 2026

Trust & integrity

SignalAutoGPTagent-kernel
Maintenance
Very active (0d since push)
As of 4d · github_public_v1
Very active (0d since push)
As of today · github_public_v1
Provenance
Not a fork · Organization account
As of 4d · github_public_v1
Not a fork · Organization 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.
agent-kernel
The Operating System for Scalable Enterprise AI Agents - Run, orchestrate, and deploy Compliant Enterprise AI Agents at scale across frameworks, without lock-in, rewrites or fragile glue code. Native

Stars

AutoGPT
185k
agent-kernel
92

Forks

AutoGPT
46k
agent-kernel
46

Open issues

AutoGPT
494
agent-kernel
23

Language

AutoGPT
Python
agent-kernel
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.
agent-kernel
-

Persona

AutoGPT
-
agent-kernel
-

Runtime

AutoGPT
-
agent-kernel
-

License

AutoGPT
Other
agent-kernel
Apache-2.0

Last pushed

AutoGPT
Jul 11, 2026
agent-kernel
Jul 15, 2026

Categories

AutoGPT
AI Agents, LLM Frameworks
agent-kernel
AI Agents, LLM Frameworks, Vector Databases

Trust and health

Open issues (now)

AutoGPT
494
agent-kernel
23

Full report

agent-kernel
Trust report

Choose AutoGPT if…

  • License: AutoGPT is Other, agent-kernel is Apache-2.0.
  • Tags unique to AutoGPT: agentic-ai, agents, ai, artificial-intelligence.
  • 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 agent-kernel if…

  • License: agent-kernel is Apache-2.0, AutoGPT is Other.
  • Tags unique to agent-kernel: a2a, adk, ai-agents, aws.
  • Also covers Vector Databases.

When NOT to use agent-kernel

  • 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 on cards: AutoGPT 185k · agent-kernel 92 (synced Jul 11, 2026).

Common questions

What is the difference between AutoGPT and agent-kernel?
AutoGPT: AutoGPT is the vision of accessible AI for everyone, to use and to build on.. agent-kernel: The Operating System for Scalable Enterprise AI Agents - Run, orchestrate, and deploy Compliant Enterprise AI Agents at scale across frameworks, without lock-in, rewrites or fragile glue code. Native . See the comparison table for live GitHub stats and shared categories.
When should I choose AutoGPT over agent-kernel?
Choose AutoGPT over agent-kernel when License: AutoGPT is Other, agent-kernel is Apache-2.0; Tags unique to AutoGPT: agentic-ai, agents, ai, artificial-intelligence; When you need to rapidly prototype or deploy an autonomous agent using existing language models without deep AI expertise.
When should I choose agent-kernel over AutoGPT?
Choose agent-kernel over AutoGPT when License: agent-kernel is Apache-2.0, AutoGPT is Other; Tags unique to agent-kernel: a2a, adk, ai-agents, aws; Also covers Vector Databases.
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 agent-kernel?
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 agent-kernel more popular on GitHub?
AutoGPT has more GitHub stars (185,464 vs 92). Stars measure visibility, not whether either tool fits your constraints.
Are AutoGPT and agent-kernel open source?
Yes - both are open-source projects on GitHub (AutoGPT: Other, agent-kernel: Apache-2.0).
Where can I find alternatives to AutoGPT or agent-kernel?
GraphCanon lists graph-backed alternatives at AutoGPT alternatives and agent-kernel alternatives (AutoGPT markdown twin, agent-kernel 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 agent-kernel?
AutoGPT: Very active. agent-kernel: 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 agent-kernel?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: AutoGPT trust report; agent-kernel trust report.

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