Comparison
anything-llm vs alfy
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 alfy if alfy is a JavaScript framework specifically designed for creating Alfred workflows using Node.js.
Markdown twin · anything-llm alternatives · alfy alternatives
GraphCanon updated Sep 20, 2026
vs
Trust & integrity
| Signal | anything-llm | alfy |
|---|---|---|
| Maintenance | Very active (0d since push) As of Sep 18, 2026 · github_public_v1 | Slowing (226d since push) As of Sep 16, 2026 · github_public_v1 |
| Provenance | Not a fork · Organization account As of Sep 18, 2026 · github_public_v1 | Not a fork · Personal account As of Sep 16, 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 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
- anything-llm
- Self-hosted AI agent experience
- alfy
- Create Alfred workflows with ease
Stars
- anything-llm
- 66k
- alfy
- 2.7k
Forks
- anything-llm
- 7.3k
- alfy
- 104
Open issues
- anything-llm
- 315
- alfy
- 0
Language
- anything-llm
- JavaScript
- alfy
- JavaScript
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.
- alfy
- Alfy is a JavaScript framework specifically designed for creating Alfred workflows using Node.js.
Persona
- anything-llm
- -
- alfy
- -
Runtime
- anything-llm
- -
- alfy
- -
License
- anything-llm
- MIT License, allowing for free use, modification, and distribution.
- alfy
- MIT
Last pushed
- anything-llm
- Sep 17, 2026
- alfy
- Feb 2, 2026
Categories
- anything-llm
- AI Agents, Developer Tools, Inference & Serving
- alfy
- Developer Tools
Trust and health
Maintenance
- anything-llm
- Very active (96%)
- alfy
- Slowing (36%)
Days since push
- anything-llm
- 0d
- alfy
- 226d
Open issues (now)
- anything-llm
- 315
- alfy
- 0
Stars delta
- anything-llm
- +1.5k (30d)
- alfy
- +3 (30d)
Open issues delta
- anything-llm
- -4 (30d)
- alfy
- 0 (30d)
Owner type
- anything-llm
- Organization
- alfy
- User
Full report
- anything-llm
- Trust report
- alfy
- Trust report
Choose anything-llm if…
- 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 AI Agents, 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 alfy if…
- Tags unique to alfy: alfred, alfred-workflow, javascript, nodejs.
- When you are familiar with JavaScript and wish to leverage modern JavaScript features like top-level await in your Alfred workflows.
- Leaner open-issue backlog (0).
When NOT to use alfy
- If you prefer a tool that does not require Node.js or recent ES module (ESM) capabilities for creating workflows.
- When developing Alfred workflows in languages other than JavaScript is necessary, as Alfy's framework is based solely on JavaScript.
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 (sindresorhus/alfy) · observed Sep 20, 2026
- GitHub forks (sindresorhus/alfy) · observed Sep 20, 2026
- Last push (sindresorhus/alfy) · observed Feb 2, 2026
- License file (MIT) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 16, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
GitHub stars on cards: anything-llm 66k · alfy 2.7k (synced Sep 20, 2026).
Common questions
- What is the difference between anything-llm and alfy?
- anything-llm: Self-hosted AI agent experience. alfy: Create Alfred workflows with ease. See the comparison table for live GitHub stats and shared categories.
- When should I choose anything-llm over alfy?
- Choose anything-llm over alfy when 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 AI Agents, Inference & Serving; When you need a local-first AI agent experience that you can fully control and customize.
- When should I choose alfy over anything-llm?
- Choose alfy over anything-llm when Tags unique to alfy: alfred, alfred-workflow, javascript, nodejs; When you are familiar with JavaScript and wish to leverage modern JavaScript features like top-level await in your Alfred workflows; Leaner open-issue backlog (0).
- 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 alfy?
- If you prefer a tool that does not require Node.js or recent ES module (ESM) capabilities for creating workflows. When developing Alfred workflows in languages other than JavaScript is necessary, as Alfy's framework is based solely on JavaScript.
- Is anything-llm or alfy more popular on GitHub?
- anything-llm has more GitHub stars (66,167 vs 2,654). Stars measure visibility, not whether either tool fits your constraints.
- Are anything-llm and alfy open source?
- Yes - both are open-source projects on GitHub (anything-llm: MIT, alfy: MIT).
- Where can I find alternatives to anything-llm or alfy?
- GraphCanon lists graph-backed alternatives at anything-llm alternatives and alfy alternatives (anything-llm markdown twin, alfy 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 alfy?
- anything-llm: Very active. alfy: Slowing. 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 alfy?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: anything-llm trust report; alfy trust report.