Comparison
anything-llm vs awesome-ai-apps
Verdict
Pick anything-llm when anything-llm is primarily JavaScript; awesome-ai-apps is HTML; pick awesome-ai-apps when awesome-ai-apps is primarily HTML; anything-llm is JavaScript.
Markdown twin · anything-llm alternatives · awesome-ai-apps alternatives
GraphCanon updated today
vs
Trust & integrity
| Signal | anything-llm | awesome-ai-apps |
|---|---|---|
| Maintenance | Very active (0d since push) As of 4d · github_public_v1 | Slowing (154d since push) As of today · github_public_v1 |
| Provenance | Not a fork · Organization account As of 4d · github_public_v1 | Not a fork · Personal account As of today · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of 4d · osv@v1 | No lockfile (source not queried) As of today · 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 agent experience with deployment scripts for multiple environments
- awesome-ai-apps
- A curated collection of awesome AI Agents and LLM Apps built with multiple tech stacks, showcasing real-world implementations using OpenAI, Gemini, local models, and various AI frameworks.
Stars
- anything-llm
- 63k
- awesome-ai-apps
- 803
Forks
- anything-llm
- 6.9k
- awesome-ai-apps
- 172
Open issues
- anything-llm
- 320
- awesome-ai-apps
- 29
Language
- anything-llm
- JavaScript
- awesome-ai-apps
- HTML
Adopt for
- anything-llm
- Self-hosted AI agent experience with robust deployment scripts across multiple environments.
- awesome-ai-apps
- -
Persona
- anything-llm
- -
- awesome-ai-apps
- -
Runtime
- anything-llm
- -
- awesome-ai-apps
- -
License
- anything-llm
- MIT
- awesome-ai-apps
- Apache-2.0
Last pushed
- anything-llm
- Jul 11, 2026
- awesome-ai-apps
- Feb 10, 2026
Categories
- anything-llm
- AI Agents, Inference & Serving
- awesome-ai-apps
- AI Agents, LLM Frameworks
Trust and health
Maintenance
- anything-llm
- Very active (96%)
- awesome-ai-apps
- Slowing (36%)
Days since push
- anything-llm
- 0d
- awesome-ai-apps
- 154d
Open issues (now)
- anything-llm
- 320
- awesome-ai-apps
- 29
Owner type
- anything-llm
- Organization
- awesome-ai-apps
- User
Full report
- anything-llm
- Trust report
- awesome-ai-apps
- Trust report
Choose anything-llm if…
- anything-llm is primarily JavaScript; awesome-ai-apps is HTML.
- License: anything-llm is MIT, awesome-ai-apps is Apache-2.0.
- Tags unique to anything-llm: agent-computer, agent-harness, agentic-ai, local-ai.
- Also covers Inference & Serving.
- When you need flexibility in deploying your AI agents on various cloud platforms like AWS, GCP, Digital Ocean, and more.
When NOT to use anything-llm
- Avoid if you require an agent without additional setup or prefer SaaS solutions over self-managed deployments.
- Not suitable for users who are looking for no-code alternatives as setting up AnythingLLM might necessitate some coding knowledge despite offering multiple scripts and methods.
Choose awesome-ai-apps if…
- awesome-ai-apps is primarily HTML; anything-llm is JavaScript.
- License: awesome-ai-apps is Apache-2.0, anything-llm is MIT.
- Tags unique to awesome-ai-apps: agents, ai, apps, automation.
- Also covers LLM Frameworks.
When NOT to use awesome-ai-apps
- Last GitHub push was 154 days ago (slowing maintenance, Feb 10, 2026). Validate activity before betting a new project on awesome-ai-apps.
- AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism.
- LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
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 Jul 11, 2026
- GitHub forks (Mintplex-Labs/anything-llm) · observed Jul 11, 2026
- Last push (Mintplex-Labs/anything-llm) · observed Jul 11, 2026
- License file (MIT) · observed Jul 11, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (rohitg00/awesome-ai-apps) · observed Jul 15, 2026
- GitHub forks (rohitg00/awesome-ai-apps) · observed Jul 15, 2026
- Last push (rohitg00/awesome-ai-apps) · observed Feb 10, 2026
- License file (Apache-2.0) · observed Jul 15, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
GitHub stars on cards: anything-llm 63k · awesome-ai-apps 803 (synced Jul 11, 2026).
Common questions
- What is the difference between anything-llm and awesome-ai-apps?
- anything-llm: Self-hosted agent experience with deployment scripts for multiple environments. awesome-ai-apps: A curated collection of awesome AI Agents and LLM Apps built with multiple tech stacks, showcasing real-world implementations using OpenAI, Gemini, local models, and various AI frameworks.. See the comparison table for live GitHub stats and shared categories.
- When should I choose anything-llm over awesome-ai-apps?
- Choose anything-llm over awesome-ai-apps when anything-llm is primarily JavaScript; awesome-ai-apps is HTML; License: anything-llm is MIT, awesome-ai-apps is Apache-2.0; Tags unique to anything-llm: agent-computer, agent-harness, agentic-ai, local-ai; Also covers Inference & Serving; When you need flexibility in deploying your AI agents on various cloud platforms like AWS, GCP, Digital Ocean, and more.
- When should I choose awesome-ai-apps over anything-llm?
- Choose awesome-ai-apps over anything-llm when awesome-ai-apps is primarily HTML; anything-llm is JavaScript; License: awesome-ai-apps is Apache-2.0, anything-llm is MIT; Tags unique to awesome-ai-apps: agents, ai, apps, automation; Also covers LLM Frameworks.
- When should I avoid anything-llm?
- Avoid if you require an agent without additional setup or prefer SaaS solutions over self-managed deployments. Not suitable for users who are looking for no-code alternatives as setting up AnythingLLM might necessitate some coding knowledge despite offering multiple scripts and methods.
- When should I avoid awesome-ai-apps?
- Last GitHub push was 154 days ago (slowing maintenance, Feb 10, 2026). Validate activity before betting a new project on awesome-ai-apps. AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
- Is anything-llm or awesome-ai-apps more popular on GitHub?
- anything-llm has more GitHub stars (63,100 vs 803). Stars measure visibility, not whether either tool fits your constraints.
- Are anything-llm and awesome-ai-apps open source?
- Yes - both are open-source projects on GitHub (anything-llm: MIT, awesome-ai-apps: Apache-2.0).
- Where can I find alternatives to anything-llm or awesome-ai-apps?
- GraphCanon lists graph-backed alternatives at anything-llm alternatives and awesome-ai-apps alternatives (anything-llm markdown twin, awesome-ai-apps 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 awesome-ai-apps?
- anything-llm: Very active. awesome-ai-apps: 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 awesome-ai-apps?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: anything-llm trust report; awesome-ai-apps trust report.