Home/Compare/daytona vs agent-skills

Comparison

daytona vs agent-skills

Verdict

Pick daytona when requirements: While creating and managing sandboxes in Daytona, users require an API key to authenticate their requests.; pick agent-skills when tags unique to agent-skills: python.

Markdown twin · daytona alternatives · agent-skills alternatives

GraphCanon updated today

daytona logo

daytona

daytonaio/daytona

72kpushed Jul 9, 2026
vs
agent-skills logo

agent-skills

LambdaTest/agent-skills

325pushed Jun 18, 2026

Trust & integrity

Signaldaytonaagent-skills
Maintenance
Very active (1d since push)
As of today · github_public_v1
Active (23d since push)
As of today · github_public_v1
Provenance
Not a fork · Organization account
As of today · github_public_v1
Not a fork · Organization account
As of today · github_public_v1
Security (OSV)
No lockfile
As of today · none
No lockfile
As of today · none

Tagline

daytona
Secure and Elastic Infrastructure for Running AI-Generated Code
agent-skills
AI agent skills for TestMu AI (Formerly LambdaTest).

Stars

daytona
72k
agent-skills
325

Forks

daytona
5.7k
agent-skills
66

Open issues

daytona
444
agent-skills
1

Language

daytona
-
agent-skills
Python

Adopt for

daytona
Daytona, known for its secure and elastic infrastructure tailored specifically to run AI-generated code, stands distinct in the developer tools landscape.
agent-skills
-

Persona

daytona
-
agent-skills
-

Runtime

daytona
-
agent-skills
-

License

daytona
The license details for Daytona are unknown at present.
agent-skills
MIT

Last pushed

daytona
Jul 9, 2026
agent-skills
Jun 18, 2026

Categories

daytona
AI Agents, Developer Tools
agent-skills
AI Agents, Developer Tools

Trust and health

Maintenance

daytona
Very active (96%)
agent-skills
Active (82%)

Days since push

daytona
1d
agent-skills
23d

Open issues (now)

daytona
444
agent-skills
1

Full report

agent-skills
Trust report

Choose daytona if…

  • Requirements: While creating and managing sandboxes in Daytona, users require an API key to authenticate their requests..
  • Tags unique to daytona: ai-runtime, code-execution, agentic-workflow, code-interpreter.
  • When your project requires running AI-generated code securely and you need an on-demand scalable environment that adjusts automatically based on demand.

When NOT to use daytona

  • Avoid using Daytona if you have strict requirements for the programming languages it supports, since this information is currently unknown.
  • Daytona might not be suitable if your development workflow does not require API access or an online dashboard, as its user interface and API integration are key components.

Choose agent-skills if…

  • Tags unique to agent-skills: python.
  • Leaner open-issue backlog (1).

When NOT to use agent-skills

  • AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism.
  • Developer Tools: A gateway is overkill when you're pinned to a single provider and model.

Explore

Sources

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

GitHub stars on cards: daytona 72k · agent-skills 325 (synced Jul 11, 2026).

Common questions

What is the difference between daytona and agent-skills?
daytona: Secure and Elastic Infrastructure for Running AI-Generated Code. agent-skills: AI agent skills for TestMu AI (Formerly LambdaTest).. See the comparison table for live GitHub stats and shared categories.
When should I choose daytona over agent-skills?
Choose daytona over agent-skills when Requirements: While creating and managing sandboxes in Daytona, users require an API key to authenticate their requests.; Tags unique to daytona: ai-runtime, code-execution, agentic-workflow, code-interpreter; When your project requires running AI-generated code securely and you need an on-demand scalable environment that adjusts automatically based on demand.
When should I choose agent-skills over daytona?
Choose agent-skills over daytona when Tags unique to agent-skills: python; Leaner open-issue backlog (1).
When should I avoid daytona?
Avoid using Daytona if you have strict requirements for the programming languages it supports, since this information is currently unknown. Daytona might not be suitable if your development workflow does not require API access or an online dashboard, as its user interface and API integration are key components.
When should I avoid agent-skills?
AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism. Developer Tools: A gateway is overkill when you're pinned to a single provider and model.
Is daytona or agent-skills more popular on GitHub?
daytona has more GitHub stars (72,233 vs 325). Stars measure visibility, not whether either tool fits your constraints.
Are daytona and agent-skills open source?
Yes - both are open-source projects on GitHub.
Where can I find alternatives to daytona or agent-skills?
GraphCanon lists graph-backed alternatives at daytona alternatives and agent-skills alternatives (daytona markdown twin, agent-skills 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, daytona or agent-skills?
daytona: Very active. agent-skills: 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 daytona and agent-skills?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: daytona trust report; agent-skills trust report.