Comparison
agentheroes vs awesome-llm-apps
Verdict
Pick agentheroes when agentheroes is primarily TypeScript; awesome-llm-apps is Python; pick awesome-llm-apps when awesome-llm-apps is primarily Python; agentheroes is TypeScript.
Markdown twin · agentheroes alternatives · awesome-llm-apps alternatives
GraphCanon updated today
vs
Trust & integrity
| Signal | agentheroes | awesome-llm-apps |
|---|---|---|
| Maintenance | Dormant (387d since push) As of today · github_public_v1 | Very active (3d since push) As of 1d · github_public_v1 |
| Provenance | Not a fork · Organization account As of today · github_public_v1 | Not a fork · Personal account As of 1d · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of today · osv@v1 | No lockfile (source not queried) As of 4d · 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
- agentheroes
- Generate, animate and schedule your AI characters 🤖
- awesome-llm-apps
- Over 100 runnable AI Agent and RAG apps to clone, tweak, and deploy.
Stars
- agentheroes
- 3.4k
- awesome-llm-apps
- 120k
Forks
- agentheroes
- 77
- awesome-llm-apps
- 18k
Open issues
- agentheroes
- 12
- awesome-llm-apps
- 17
Language
- agentheroes
- TypeScript
- awesome-llm-apps
- Python
Adopt for
- agentheroes
- -
- 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
- agentheroes
- -
- awesome-llm-apps
- -
Runtime
- agentheroes
- -
- awesome-llm-apps
- -
License
- agentheroes
- -
- 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
- agentheroes
- Jun 23, 2025
- awesome-llm-apps
- Jul 11, 2026
Categories
- agentheroes
- AI Agents, Computer Vision, Model Training
- awesome-llm-apps
- AI Agents, Data & Retrieval
Trust and health
Maintenance
- agentheroes
- Dormant (18%)
- awesome-llm-apps
- Very active (96%)
Days since push
- agentheroes
- 387d
- awesome-llm-apps
- 3d
Open issues (now)
- agentheroes
- 12
- awesome-llm-apps
- 17
Owner type
- agentheroes
- Organization
- awesome-llm-apps
- User
Full report
- agentheroes
- Trust report
- awesome-llm-apps
- Trust report
Choose agentheroes if…
- agentheroes is primarily TypeScript; awesome-llm-apps is Python.
- Tags unique to agentheroes: agent, ai, chatgpt, generate.
- Also covers Computer Vision, Model Training.
- agentheroes ships Docker support for self-hosted deployment.
When NOT to use agentheroes
- Last GitHub push was 387 days ago (dormant maintenance, Jun 23, 2025). Validate activity before betting a new project on agentheroes.
- AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism.
- Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge.
Choose awesome-llm-apps if…
- awesome-llm-apps is primarily Python; agentheroes is TypeScript.
- 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 (agentheroes/agentheroes) · observed Jul 15, 2026
- GitHub forks (agentheroes/agentheroes) · observed Jul 15, 2026
- Last push (agentheroes/agentheroes) · observed Jun 23, 2025
- License file (unknown) · observed Jul 15, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
- GitHub stars (Shubhamsaboo/awesome-llm-apps) · observed Jul 14, 2026
- GitHub forks (Shubhamsaboo/awesome-llm-apps) · observed Jul 14, 2026
- Last push (Shubhamsaboo/awesome-llm-apps) · observed Jul 11, 2026
- License file (Apache-2.0) · observed Jul 14, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: agentheroes 3.4k · awesome-llm-apps 120k (synced Jul 15, 2026).
Common questions
- What is the difference between agentheroes and awesome-llm-apps?
- agentheroes: Generate, animate and schedule your AI characters 🤖. 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 agentheroes over awesome-llm-apps?
- Choose agentheroes over awesome-llm-apps when agentheroes is primarily TypeScript; awesome-llm-apps is Python; Tags unique to agentheroes: agent, ai, chatgpt, generate; Also covers Computer Vision, Model Training; agentheroes ships Docker support for self-hosted deployment.
- When should I choose awesome-llm-apps over agentheroes?
- Choose awesome-llm-apps over agentheroes when awesome-llm-apps is primarily Python; agentheroes is TypeScript; 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 agentheroes?
- Last GitHub push was 387 days ago (dormant maintenance, Jun 23, 2025). Validate activity before betting a new project on agentheroes. AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism. Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge.
- 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 agentheroes or awesome-llm-apps more popular on GitHub?
- awesome-llm-apps has more GitHub stars (119,936 vs 3,368). Stars measure visibility, not whether either tool fits your constraints.
- Are agentheroes and awesome-llm-apps open source?
- Yes - both are open-source projects on GitHub.
- Where can I find alternatives to agentheroes or awesome-llm-apps?
- GraphCanon lists graph-backed alternatives at agentheroes alternatives and awesome-llm-apps alternatives (agentheroes 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, agentheroes or awesome-llm-apps?
- agentheroes: Dormant. 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 agentheroes and awesome-llm-apps?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: agentheroes trust report; awesome-llm-apps trust report.