Home/Compare/agent-kernel vs autoMate

Comparison

agent-kernel vs autoMate

Verdict

Pick agent-kernel if agent-kernel provides an operating system for scalable enterprise AI agents, supporting deployment and orchestration at scale with native integration support for MCP and A2A; pick autoMate if autoMate is an AI-driven local automation assistant that operates via natural language commands to automate computer tasks.

Markdown twin · agent-kernel alternatives · autoMate alternatives

GraphCanon updated Sep 13, 2026

14views this month

agent-kernel logo

agent-kernel

yaalalabs/agent-kernel

188pushed Sep 11, 2026
vs
autoMate logo

autoMate

yuruotong1/autoMate

3.9kpushed Aug 6, 2026

Trust & integrity

Signalagent-kernelautoMate
Maintenance
Very active (1d since push)
As of Sep 13, 2026 · github_public_v1
Active (7d since push)
As of Aug 14, 2026 · github_public_v1
Provenance
Not a fork · Organization account
As of Sep 13, 2026 · github_public_v1
Not a fork · Personal account
As of Aug 14, 2026 · github_public_v1
OSV dependency advisories
No lockfile (source not queried)
As of Jul 15, 2026 · osv@v1
Published findings
As of Jul 15, 2026 · 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

agent-kernel
The Operating System for Scalable Enterprise AI Agents
autoMate
AI-driven local automation assistant using natural language

Stars

agent-kernel
188
autoMate
3.9k

Forks

agent-kernel
86
autoMate
494

Open issues

agent-kernel
137
autoMate
2

Language

agent-kernel
Python
autoMate
Python

Adopt for

agent-kernel
Agent-kernel provides an operating system for scalable enterprise AI agents, supporting deployment and orchestration at scale with native integration support for MCP and A2A.
autoMate
autoMate is an AI-driven local automation assistant that operates via natural language commands to automate computer tasks.

Persona

agent-kernel
-
autoMate
-

Runtime

agent-kernel
-
autoMate
-

License

agent-kernel
Apache-2.0
autoMate
MIT License

Last pushed

agent-kernel
Sep 11, 2026
autoMate
Aug 6, 2026

Categories

agent-kernel
AI Agents
autoMate
AI Agents

Trust and health

Maintenance

agent-kernel
Very active (96%)
autoMate
Active (82%)

Days since push

agent-kernel
1d
autoMate
7d

Open issues (now)

agent-kernel
137
autoMate
2

Stars delta

agent-kernel
+75 (30d)
autoMate
Unknown

Open issues delta

agent-kernel
+9 (30d)
autoMate
Unknown

Owner type

agent-kernel
Organization
autoMate
User

OSV dependency advisories

agent-kernel
No lockfile (source not queried)
autoMate
Published findings

Full report

agent-kernel
Trust report
autoMate
Trust report

Shared compatibility

  • Python · agent-kernel: Python runtime · autoMate: Python runtime

Choose agent-kernel if…

  • License: agent-kernel is Apache-2.0, autoMate is MIT.
  • Requirements: It requires Python versions between 3.12 and 3.13.x.; Supports deployment to various environments such as AWS Lambda, ECS, Azure Functions, or Container Apps via one Terraform module..
  • Tags unique to agent-kernel: a2a, adk, aws, azure.
  • If you require seamless scalability across different cloud providers like AWS and Azure without lock-in or rewrites.

When NOT to use agent-kernel

  • If your project is confined to a single, specific AI framework which doesn't require the flexibility Agent-kernel offers.
  • When you do not have Python version 3.12 - 3.13.x, as it's the required runtime environment.

Choose autoMate if…

  • License: autoMate is MIT, agent-kernel is Apache-2.0.
  • Pricing: Available free under the MIT license; advanced features may require specific third-party model keys..
  • Requirements: Min 2 GB RAM; Requires Docker; Docker is an optional installation method, useful for headless systems or NAS devices.; No Python knowledge is needed to use the standalone binary version by double-clicking..
  • Tags unique to autoMate: agent, ai, computeruse, deepseek.
  • autoMate ships Docker support for self-hosted deployment.
  • When users want to leverage natural language interaction for automating repetitive tasks on personal computers without cloud integration, as autoMate operates entirely locally.

When NOT to use autoMate

  • Avoid if you require cloud functionalities for task automation, since autoMate is designed for local operations only and does not include cloud services.
  • Users who need integrations with specific applications not supported by autoMate should look elsewhere, given its broad but not exhaustive feature set.

Explore

Sources

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

GitHub stars on cards: agent-kernel 188 · autoMate 3.9k (synced Sep 13, 2026).

Common questions

What is the difference between agent-kernel and autoMate?
agent-kernel: The Operating System for Scalable Enterprise AI Agents. autoMate: AI-driven local automation assistant using natural language. See the comparison table for live GitHub stats and shared categories.
When should I choose agent-kernel over autoMate?
Choose agent-kernel over autoMate when License: agent-kernel is Apache-2.0, autoMate is MIT; Requirements: It requires Python versions between 3.12 and 3.13.x.; Supports deployment to various environments such as AWS Lambda, ECS, Azure Functions, or Container Apps via one Terraform module.; Tags unique to agent-kernel: a2a, adk, aws, azure; If you require seamless scalability across different cloud providers like AWS and Azure without lock-in or rewrites.
When should I choose autoMate over agent-kernel?
Choose autoMate over agent-kernel when License: autoMate is MIT, agent-kernel is Apache-2.0; Pricing: Available free under the MIT license; advanced features may require specific third-party model keys.; Requirements: Min 2 GB RAM; Requires Docker; Docker is an optional installation method, useful for headless systems or NAS devices.; No Python knowledge is needed to use the standalone binary version by double-clicking.; Tags unique to autoMate: agent, ai, computeruse, deepseek; autoMate ships Docker support for self-hosted deployment; When users want to leverage natural language interaction for automating repetitive tasks on personal computers without cloud integration, as autoMate operates entirely locally.
When should I avoid agent-kernel?
If your project is confined to a single, specific AI framework which doesn't require the flexibility Agent-kernel offers. When you do not have Python version 3.12 - 3.13.x, as it's the required runtime environment.
When should I avoid autoMate?
Avoid if you require cloud functionalities for task automation, since autoMate is designed for local operations only and does not include cloud services. Users who need integrations with specific applications not supported by autoMate should look elsewhere, given its broad but not exhaustive feature set.
Is agent-kernel or autoMate more popular on GitHub?
autoMate has more GitHub stars (3,944 vs 188). Stars measure visibility, not whether either tool fits your constraints.
Are agent-kernel and autoMate open source?
Yes - both are open-source projects on GitHub (agent-kernel: Apache-2.0, autoMate: MIT).
Where can I find alternatives to agent-kernel or autoMate?
GraphCanon lists graph-backed alternatives at agent-kernel alternatives and autoMate alternatives (agent-kernel markdown twin, autoMate 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, agent-kernel or autoMate?
agent-kernel: Very active. autoMate: 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 agent-kernel and autoMate?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: agent-kernel trust report; autoMate trust report.

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