Comparison
clyro vs awesome-llm-apps
Verdict
Pick clyro if clyro is noted for its governance and real-time monitoring features designed to prevent AI agent failures including infinite loops, unexpected costs, and policy violations; pick awesome-llm-apps if awesome-llm-apps is a collection of over 100 AI Agent and Retrieval Augmented Generation (RAG) applications that enable users to quickly implement, customize, and deploy practical use cases in Python.
Markdown twin · clyro alternatives · awesome-llm-apps alternatives
GraphCanon updated Sep 20, 2026
9views this month
vs
Trust & integrity
| Signal | clyro | awesome-llm-apps |
|---|---|---|
| Maintenance | Steady (30d since push) As of Sep 13, 2026 · github_public_v1 | Very active (4d since push) As of Sep 7, 2026 · github_public_v1 |
| Provenance | Not a fork · Organization account As of Sep 13, 2026 · github_public_v1 | Not a fork · Personal account As of Sep 7, 2026 · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of Jul 15, 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
- clyro
- Clyro is a governance platform for AI agents that stops failures before they happen.
- awesome-llm-apps
- Over 100 runnable AI Agent and RAG apps to clone, tweak, and deploy.
Stars
- clyro
- 55
- awesome-llm-apps
- 136k
Forks
- clyro
- 2
- awesome-llm-apps
- 20k
Open issues
- clyro
- 0
- awesome-llm-apps
- 10
Language
- clyro
- Python
- awesome-llm-apps
- Python
Adopt for
- clyro
- Clyro is noted for its governance and real-time monitoring features designed to prevent AI agent failures including infinite loops, unexpected costs, and policy violations.
- awesome-llm-apps
- awesome-llm-apps is a collection of over 100 AI Agent and Retrieval Augmented Generation (RAG) applications that enable users to quickly implement, customize, and deploy practical use cases in Python.
Persona
- clyro
- -
- awesome-llm-apps
- -
Runtime
- clyro
- -
- awesome-llm-apps
- -
License
- clyro
- Apache-2.0
- awesome-llm-apps
- The Apache-2.0 license allows users to freely use, modify, and distribute the projects found in awesome-llm-apps under specific conditions outlined by the license.
Last pushed
- clyro
- Aug 14, 2026
- awesome-llm-apps
- Sep 2, 2026
Categories
- clyro
- AI Agents, Evaluation & Observability
- awesome-llm-apps
- AI Agents, Data & Retrieval
Trust and health
Maintenance
- clyro
- Steady (60%)
- awesome-llm-apps
- Very active (96%)
Days since push
- clyro
- 30d
- awesome-llm-apps
- 4d
Open issues (now)
- clyro
- 0
- awesome-llm-apps
- 10
Stars delta
- clyro
- +2 (30d)
- awesome-llm-apps
- +5.2k (30d)
Open issues delta
- clyro
- -1 (30d)
- awesome-llm-apps
- -3 (30d)
Owner type
- clyro
- Organization
- awesome-llm-apps
- User
Full report
- clyro
- Trust report
- awesome-llm-apps
- Trust report
Shared compatibility
- Python · clyro: Python runtime · awesome-llm-apps: Python runtime
Choose clyro if…
- Requirements: Requires Python version 3.11 or higher.; Additional dependencies include httpx, pydantic, structlog, tenacity, aiosqlite, and pyyaml..
- Tags unique to clyro: ai-governance, cost-limits, infinite-loops, langchain.
- Also covers Evaluation & Observability.
- When you want automated cost control measures that halt execution before spending exceeds a predetermined threshold, unlike competitors that may only notify you of overruns.
When NOT to use clyro
- In situations demanding lightweight solutions without extensive dependencies since Clyro requires specific versions and additional Python packages like httpx and pydantic.
- When you prioritize manual inspection over automated monitoring; Clyro is best for use cases where automated intervention in response to potential failures is more beneficial than human oversight.
Choose awesome-llm-apps if…
- Pricing: Free with open-source licensing, but commercial exploitation is allowed..
- Tags unique to awesome-llm-apps: applications, customizable, deployable, llms.
- Also covers Data & Retrieval.
- When you need quick implementations of various real-world use cases for AI Agents and RAG.
When NOT to use awesome-llm-apps
- If your project requires highly specialized customization beyond what the provided apps can offer out-of-the-box, as deep integration might be required from scratch.
- When you are looking for a fully managed service or support directly from developers; this repository is more about self-service and community interaction.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (getclyro/clyro) · observed Sep 20, 2026
- GitHub forks (getclyro/clyro) · observed Sep 20, 2026
- Last push (getclyro/clyro) · observed Aug 14, 2026
- License file (Apache-2.0) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 16, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
- GitHub stars (Shubhamsaboo/awesome-llm-apps) · observed Sep 20, 2026
- GitHub forks (Shubhamsaboo/awesome-llm-apps) · observed Sep 20, 2026
- Last push (Shubhamsaboo/awesome-llm-apps) · observed Sep 2, 2026
- License file (Apache-2.0) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: clyro 55 · awesome-llm-apps 136k (synced Sep 20, 2026).
Common questions
- What is the difference between clyro and awesome-llm-apps?
- clyro: Clyro is a governance platform for AI agents that stops failures before they happen.. awesome-llm-apps: Over 100 runnable AI Agent and RAG apps to clone, tweak, and deploy.. See the comparison table for live GitHub stats and shared categories.
- When should I choose clyro over awesome-llm-apps?
- Choose clyro over awesome-llm-apps when Requirements: Requires Python version 3.11 or higher.; Additional dependencies include httpx, pydantic, structlog, tenacity, aiosqlite, and pyyaml.; Tags unique to clyro: ai-governance, cost-limits, infinite-loops, langchain; Also covers Evaluation & Observability; When you want automated cost control measures that halt execution before spending exceeds a predetermined threshold, unlike competitors that may only notify you of overruns.
- When should I choose awesome-llm-apps over clyro?
- Choose awesome-llm-apps over clyro when Pricing: Free with open-source licensing, but commercial exploitation is allowed.; Tags unique to awesome-llm-apps: applications, customizable, deployable, llms; Also covers Data & Retrieval; When you need quick implementations of various real-world use cases for AI Agents and RAG.
- When should I avoid clyro?
- In situations demanding lightweight solutions without extensive dependencies since Clyro requires specific versions and additional Python packages like httpx and pydantic. When you prioritize manual inspection over automated monitoring; Clyro is best for use cases where automated intervention in response to potential failures is more beneficial than human oversight.
- When should I avoid awesome-llm-apps?
- If your project requires highly specialized customization beyond what the provided apps can offer out-of-the-box, as deep integration might be required from scratch. When you are looking for a fully managed service or support directly from developers; this repository is more about self-service and community interaction.
- Is clyro or awesome-llm-apps more popular on GitHub?
- awesome-llm-apps has more GitHub stars (136,444 vs 55). Stars measure visibility, not whether either tool fits your constraints.
- Are clyro and awesome-llm-apps open source?
- Yes - both are open-source projects on GitHub (clyro: Apache-2.0, awesome-llm-apps: Apache-2.0).
- Where can I find alternatives to clyro or awesome-llm-apps?
- GraphCanon lists graph-backed alternatives at clyro alternatives and awesome-llm-apps alternatives (clyro markdown twin, awesome-llm-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, clyro or awesome-llm-apps?
- clyro: Steady. awesome-llm-apps: 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 clyro and awesome-llm-apps?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: clyro trust report; awesome-llm-apps trust report.