Comparison
anything-llm vs APT
Verdict
Pick anything-llm when anything-llm is primarily JavaScript; APT is C#; pick APT when aPT is primarily C#; anything-llm is JavaScript.
Markdown twin · anything-llm alternatives · APT alternatives
GraphCanon updated Sep 23, 2026
10views this month
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Trust & integrity
| Signal | anything-llm | APT |
|---|---|---|
| Maintenance | Very active (0d since push) As of Sep 18, 2026 · github_public_v1 | Slowing (283d since push) As of Sep 23, 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 23, 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
- APT
- AI Productivity Tool
Stars
- anything-llm
- 66k
- APT
- 769
Forks
- anything-llm
- 7.3k
- APT
- 85
Open issues
- anything-llm
- 315
- APT
- 12
Language
- anything-llm
- JavaScript
- APT
- C#
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.
- APT
- -
Persona
- anything-llm
- -
- APT
- -
Runtime
- anything-llm
- -
- APT
- -
License
- anything-llm
- MIT License, allowing for free use, modification, and distribution.
- APT
- MIT
Last pushed
- anything-llm
- Sep 17, 2026
- APT
- Dec 13, 2025
Categories
- anything-llm
- AI Agents, Developer Tools, Inference & Serving
- APT
- Computer Vision, Inference & Serving, Speech & Audio
Trust and health
Maintenance
- anything-llm
- Very active (96%)
- APT
- Slowing (36%)
Days since push
- anything-llm
- 0d
- APT
- 283d
Open issues (now)
- anything-llm
- 315
- APT
- 12
Stars delta
- anything-llm
- +1.5k (30d)
- APT
- -2 (30d)
Open issues delta
- anything-llm
- -4 (30d)
- APT
- 0 (30d)
Owner type
- anything-llm
- Organization
- APT
- User
Full report
- anything-llm
- Trust report
- APT
- Trust report
Choose anything-llm if…
- anything-llm is primarily JavaScript; APT is C#.
- 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, Developer Tools.
- 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 APT if…
- APT is primarily C#; anything-llm is JavaScript.
- Tags unique to APT: ai, ai-framework, aigc, audio-processing.
- Also covers Computer Vision, Speech & Audio.
- Use APT when you need to process images, videos and audio files with built-in support for multiple AI models including ChatGPT, DeepSeek, Phi, Qwen.
When NOT to use APT
- Do not use APT if you need real-time inference capabilities as it is primarily designed for batch processing of media files.
- Avoid using APT if you require integration with specific proprietary AI models that are not supported by the tool.
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 (rnchg/APT) · observed Sep 23, 2026
- GitHub forks (rnchg/APT) · observed Sep 23, 2026
- Last push (rnchg/APT) · observed Dec 13, 2025
- License file (MIT) · observed Sep 23, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: anything-llm 66k · APT 769 (synced Sep 20, 2026).
Common questions
- What is the difference between anything-llm and APT?
- anything-llm: Self-hosted AI agent experience. APT: AI Productivity Tool. See the comparison table for live GitHub stats and shared categories.
- When should I choose anything-llm over APT?
- Choose anything-llm over APT when anything-llm is primarily JavaScript; APT is C#; 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, Developer Tools; When you need a local-first AI agent experience that you can fully control and customize.
- When should I choose APT over anything-llm?
- Choose APT over anything-llm when APT is primarily C#; anything-llm is JavaScript; Tags unique to APT: ai, ai-framework, aigc, audio-processing; Also covers Computer Vision, Speech & Audio; Use APT when you need to process images, videos and audio files with built-in support for multiple AI models including ChatGPT, DeepSeek, Phi, Qwen.
- 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 APT?
- Do not use APT if you need real-time inference capabilities as it is primarily designed for batch processing of media files. Avoid using APT if you require integration with specific proprietary AI models that are not supported by the tool.
- Is anything-llm or APT more popular on GitHub?
- anything-llm has more GitHub stars (66,167 vs 769). Stars measure visibility, not whether either tool fits your constraints.
- Are anything-llm and APT open source?
- Yes - both are open-source projects on GitHub (anything-llm: MIT, APT: MIT).
- Where can I find alternatives to anything-llm or APT?
- GraphCanon lists graph-backed alternatives at anything-llm alternatives and APT alternatives (anything-llm markdown twin, APT 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 APT?
- anything-llm: Very active. APT: 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 APT?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: anything-llm trust report; APT trust report.