Comparison
anything-llm vs skills
Verdict
Pick anything-llm if anything-llm is a self-hosted AI agent platform that supports multiple deployment methods, including Docker and cloud services, making it suitable for users who prefer local control over their AI workflows; 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.
Markdown twin · anything-llm alternatives · skills alternatives
GraphCanon updated Sep 20, 2026
Trust & integrity
| Signal | anything-llm | skills |
|---|---|---|
| Maintenance | Very active (0d since push) As of Sep 18, 2026 · github_public_v1 | Very active (5d since push) As of Sep 5, 2026 · github_public_v1 |
| Provenance | Not a fork · Organization account As of Sep 18, 2026 · github_public_v1 | Not a fork · Organization account As of Sep 5, 2026 · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of Sep 18, 2026 · osv@v1 | No lockfile (source not queried) As of Jul 11, 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
- anything-llm
- Self-hosted AI agent experience
- skills
- Agent Skills for the Venice.ai API
Stars
- anything-llm
- 66k
- skills
- 139
Forks
- anything-llm
- 7.3k
- skills
- 20
Open issues
- anything-llm
- 315
- skills
- 7
Language
- anything-llm
- JavaScript
- skills
- Python
Adopt for
- anything-llm
- anything-llm is a self-hosted AI agent platform that supports multiple deployment methods, including Docker and cloud services, making it suitable for users who prefer local control over their AI workflows.
- 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
- anything-llm
- -
- skills
- -
Runtime
- anything-llm
- -
- skills
- -
License
- anything-llm
- MIT License, allowing for free use, modification, and distribution.
- 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
- anything-llm
- Sep 17, 2026
- skills
- Aug 31, 2026
Categories
- anything-llm
- AI Agents, Developer Tools, Inference & Serving
- skills
- AI Agents
Trust and health
Days since push
- anything-llm
- 0d
- skills
- 5d
Open issues (now)
- anything-llm
- 315
- skills
- 7
Stars delta
- anything-llm
- +1.5k (30d)
- skills
- +13 (30d)
Open issues delta
- anything-llm
- -4 (30d)
- skills
- +3 (30d)
Full report
- anything-llm
- Trust report
- skills
- Trust report
Choose anything-llm if…
- anything-llm is primarily JavaScript; skills is Python.
- Pricing: Free to use under the MIT License, but users may incur costs based on their chosen deployment method and infrastructure..
- Requirements: Min 4 GB RAM; Requires Docker; Requires a local environment setup or a cloud service account for deployment..
- Tags unique to anything-llm: agent-computer, agent-harness, agent-orchestration, agentic-ai.
- Also covers Developer Tools, Inference & Serving.
- When you need a local-first AI agent experience that you can fully control and customize.
When NOT to use anything-llm
- If you require a cloud-based solution with minimal setup and maintenance, as anything-llm requires self-hosting and local management.
- When you need a platform that does not offer extensive deployment flexibility, as anything-llm provides multiple deployment options which might be overwhelming for users seeking simplicity.
Choose skills if…
- skills is primarily Python; anything-llm is JavaScript.
- 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 (Mintplex-Labs/anything-llm) · observed Sep 20, 2026
- GitHub forks (Mintplex-Labs/anything-llm) · observed Sep 20, 2026
- Last push (Mintplex-Labs/anything-llm) · observed Sep 17, 2026
- License file (MIT) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Sep 18, 2026
- Trust scan (lockfile / OSV) · observed Sep 18, 2026
- GitHub stars (veniceai/skills) · observed Sep 20, 2026
- GitHub forks (veniceai/skills) · observed Sep 20, 2026
- Last push (veniceai/skills) · observed Aug 31, 2026
- License file (MIT) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: anything-llm 66k · skills 139 (synced Sep 20, 2026).
Common questions
- What is the difference between anything-llm and skills?
- anything-llm: Self-hosted AI agent experience. skills: Agent Skills for the Venice.ai API. See the comparison table for live GitHub stats and shared categories.
- When should I choose anything-llm over skills?
- Choose anything-llm over skills when anything-llm is primarily JavaScript; skills is Python; Pricing: Free to use under the MIT License, but users may incur costs based on their chosen deployment method and infrastructure.; Requirements: Min 4 GB RAM; Requires Docker; Requires a local environment setup or a cloud service account for deployment.; Tags unique to anything-llm: agent-computer, agent-harness, agent-orchestration, agentic-ai; Also covers Developer Tools, Inference & Serving; When you need a local-first AI agent experience that you can fully control and customize.
- When should I choose skills over anything-llm?
- Choose skills over anything-llm when skills is primarily Python; anything-llm is JavaScript; 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 anything-llm?
- If you require a cloud-based solution with minimal setup and maintenance, as anything-llm requires self-hosting and local management. When you need a platform that does not offer extensive deployment flexibility, as anything-llm provides multiple deployment options which might be overwhelming for users seeking simplicity.
- 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 anything-llm or skills more popular on GitHub?
- anything-llm has more GitHub stars (66,167 vs 139). Stars measure visibility, not whether either tool fits your constraints.
- Are anything-llm and skills open source?
- Yes - both are open-source projects on GitHub (anything-llm: MIT, skills: MIT).
- Where can I find alternatives to anything-llm or skills?
- GraphCanon lists graph-backed alternatives at anything-llm alternatives and skills alternatives (anything-llm 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, anything-llm or skills?
- anything-llm: Very active. skills: 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 anything-llm and skills?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: anything-llm trust report; skills trust report.