Home/Compare/agentset vs skills

Comparison

agentset vs skills

Verdict

Pick agentset if agentSet is a Retrieval-Augmented Generation (RAG) platform emphasizing built-in citations and support for deep research. It's designed to handle diverse file formats while ensuring effective memory management; pick skills if skills offers support for multiple AI agent runtimes via the Venice.ai API, making it suitable for developers who need versatility and integration with Cursor, Claude, Codex, and.

Markdown twin · agentset alternatives · skills alternatives

GraphCanon updated 2d

agentset logo

agentset

agentset-ai/agentset

2.1kpushed Jul 16, 2026
vs
skills logo

skills

veniceai/skills

126pushed Jul 29, 2026

Trust & integrity

Signalagentsetskills
Maintenance
Steady (36d since push)
As of 2d · github_public_v1
Active (7d since push)
As of 2w · github_public_v1
Provenance
Not a fork · Organization account
As of 2d · github_public_v1
Not a fork · Organization account
As of 2w · 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

agentset
The open-source RAG platform with built-in citations and support for deep research
skills
Agent Skills for the Venice.ai API

Stars

agentset
2.1k
skills
126

Forks

agentset
185
skills
14

Open issues

agentset
14
skills
4

Language

agentset
TypeScript
skills
Python

Adopt for

agentset
AgentSet is a Retrieval-Augmented Generation (RAG) platform emphasizing built-in citations and support for deep research. It's designed to handle diverse file formats while ensuring effective memory management.
skills
Skills offers support for multiple AI agent runtimes via the Venice.ai API, making it suitable for developers who need versatility and integration with Cursor, Claude, Codex, and other runtimes.

Persona

agentset
-
skills
-

Runtime

agentset
-
skills
-

License

agentset
AgentSet operates under the MIT License, allowing for broad usage and modification rights.
skills
Skills uses an MIT license allowing free use and modification of its components with a recommended credit link back to https://docs.venice.ai but no legal obligation.

Last pushed

agentset
Jul 16, 2026
skills
Jul 29, 2026

Categories

agentset
AI Agents, Data & Retrieval
skills
AI Agents

Trust and health

Maintenance

agentset
Steady (60%)
skills
Active (82%)

Days since push

agentset
36d
skills
7d

Open issues (now)

agentset
14
skills
4

Stars delta

agentset
+31 (30d)
skills
Unknown

Open issues delta

agentset
+1 (30d)
skills
Unknown

Full report

agentset
Trust report

Choose agentset if…

  • agentset is primarily TypeScript; skills is Python.
  • Pricing: Free to use as it is open-source..
  • Requirements: Primarily developed in TypeScript.; Best used with an understanding of Retrieval-Augmented Generation and AI agent functionalities..
  • Tags unique to agentset: agentic-rag, ai-agents, embeddings, memory-management.
  • Also covers Data & Retrieval.
  • - Use AgentSet when you require deep integration with multiple file types including over 22 supported formats.

When NOT to use agentset

  • - Avoid selecting AgentSet if your application does not benefit from or necessitate support for a wide array of file types, as its complexity might overwhelm simpler use-cases.
  • - If seamless integration with third-party citation services is more preferred, another tool might be better suited since AgentSet focuses on built-in citation capabilities.

Choose skills if…

  • skills is primarily Python; agentset is TypeScript.
  • Pricing: pricing details are not provided in the current data..
  • Tags unique to skills: agent-skills, claude, codex, cursor.
  • Use Skills if you are working exclusively within the Venice.ai ecosystem or plan to integrate multiple AI agent runtimes like Cursor, Claude, Codex.

When NOT to use skills

  • Avoid Skills if your project only needs support for a single or non-Venice.ai associated AI agent runtime without needing the broad integration offered here.
  • Do not use it when detailed per-skill documentation in SKILL.md format is unnecessary for your workflow, as this may introduce additional overhead.

Explore

Sources

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

GitHub stars on cards: agentset 2.1k · skills 126 (synced Aug 22, 2026).

Common questions

What is the difference between agentset and skills?
agentset: The open-source RAG platform with built-in citations and support for deep research. skills: Agent Skills for the Venice.ai API. See the comparison table for live GitHub stats and shared categories.
When should I choose agentset over skills?
Choose agentset over skills when agentset is primarily TypeScript; skills is Python; Pricing: Free to use as it is open-source.; Requirements: Primarily developed in TypeScript.; Best used with an understanding of Retrieval-Augmented Generation and AI agent functionalities.; Tags unique to agentset: agentic-rag, ai-agents, embeddings, memory-management; Also covers Data & Retrieval; - Use AgentSet when you require deep integration with multiple file types including over 22 supported formats.
When should I choose skills over agentset?
Choose skills over agentset when skills is primarily Python; agentset is TypeScript; Pricing: pricing details are not provided in the current data.; Tags unique to skills: agent-skills, claude, codex, cursor; Use Skills if you are working exclusively within the Venice.ai ecosystem or plan to integrate multiple AI agent runtimes like Cursor, Claude, Codex.
When should I avoid agentset?
- Avoid selecting AgentSet if your application does not benefit from or necessitate support for a wide array of file types, as its complexity might overwhelm simpler use-cases. - If seamless integration with third-party citation services is more preferred, another tool might be better suited since AgentSet focuses on built-in citation capabilities.
When should I avoid skills?
Avoid Skills if your project only needs support for a single or non-Venice.ai associated AI agent runtime without needing the broad integration offered here. Do not use it when detailed per-skill documentation in SKILL.md format is unnecessary for your workflow, as this may introduce additional overhead.
Is agentset or skills more popular on GitHub?
agentset has more GitHub stars (2,066 vs 126). Stars measure visibility, not whether either tool fits your constraints.
Are agentset and skills open source?
Yes - both are open-source projects on GitHub (agentset: MIT, skills: MIT).
Where can I find alternatives to agentset or skills?
GraphCanon lists graph-backed alternatives at agentset alternatives and skills alternatives (agentset markdown twin, 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, agentset or skills?
agentset: Steady. 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 agentset and skills?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: agentset trust report; skills trust report.

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