Comparison
awesome-llm-apps vs agent-toolkit
Verdict
Pick awesome-llm-apps when license: awesome-llm-apps is Apache-2.0, agent-toolkit is MIT; pick agent-toolkit when license: agent-toolkit is MIT, awesome-llm-apps is Apache-2.0.
Markdown twin · awesome-llm-apps alternatives · agent-toolkit alternatives
GraphCanon updated today
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Trust & integrity
| Signal | awesome-llm-apps | agent-toolkit |
|---|---|---|
| Maintenance | Very active (3d since push) As of 1d · github_public_v1 | Slowing (131d since push) As of today · github_public_v1 |
| Provenance | Not a fork · Personal account As of 1d · github_public_v1 | Not a fork · Organization 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
- awesome-llm-apps
- Over 100 runnable AI Agent and RAG apps to clone, tweak, and deploy.
- agent-toolkit
- A curated collection of skills for AI coding agents. Skills are packaged instructions and scripts that extend agent capabilities across development, documentation, planning, and professional workflows
Stars
- awesome-llm-apps
- 120k
- agent-toolkit
- 2.2k
Forks
- awesome-llm-apps
- 18k
- agent-toolkit
- 210
Open issues
- awesome-llm-apps
- 17
- agent-toolkit
- 18
Language
- awesome-llm-apps
- Python
- agent-toolkit
- Python
Adopt for
- 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.
- agent-toolkit
- -
Persona
- awesome-llm-apps
- -
- agent-toolkit
- -
Runtime
- awesome-llm-apps
- -
- agent-toolkit
- -
License
- 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.
- agent-toolkit
- MIT
Last pushed
- awesome-llm-apps
- Jul 11, 2026
- agent-toolkit
- Mar 5, 2026
Categories
- awesome-llm-apps
- AI Agents, Data & Retrieval
- agent-toolkit
- AI Agents, Vector Databases
Trust and health
Maintenance
- awesome-llm-apps
- Very active (96%)
- agent-toolkit
- Slowing (36%)
Days since push
- awesome-llm-apps
- 3d
- agent-toolkit
- 131d
Open issues (now)
- awesome-llm-apps
- 17
- agent-toolkit
- 18
Owner type
- awesome-llm-apps
- User
- agent-toolkit
- Organization
Full report
- awesome-llm-apps
- Trust report
- agent-toolkit
- Trust report
Choose awesome-llm-apps if…
- License: awesome-llm-apps is Apache-2.0, agent-toolkit is MIT.
- Pricing: Free with open-source licensing, but commercial exploitation is allowed..
- Tags unique to awesome-llm-apps: agents, applications, customizable, deployable.
- 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.
Choose agent-toolkit if…
- License: agent-toolkit is MIT, awesome-llm-apps is Apache-2.0.
- Tags unique to agent-toolkit: agent-skills, ai, automation, claude.
- Also covers Vector Databases.
When NOT to use agent-toolkit
- Last GitHub push was 131 days ago (slowing maintenance, Mar 5, 2026). Validate activity before betting a new project on agent-toolkit.
- AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism.
- Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- 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 (softaworks/agent-toolkit) · observed Jul 15, 2026
- GitHub forks (softaworks/agent-toolkit) · observed Jul 15, 2026
- Last push (softaworks/agent-toolkit) · observed Mar 5, 2026
- License file (MIT) · observed Jul 15, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
GitHub stars on cards: awesome-llm-apps 120k · agent-toolkit 2.2k (synced Jul 14, 2026).
Common questions
- What is the difference between awesome-llm-apps and agent-toolkit?
- awesome-llm-apps: Over 100 runnable AI Agent and RAG apps to clone, tweak, and deploy.. agent-toolkit: A curated collection of skills for AI coding agents. Skills are packaged instructions and scripts that extend agent capabilities across development, documentation, planning, and professional workflows. See the comparison table for live GitHub stats and shared categories.
- When should I choose awesome-llm-apps over agent-toolkit?
- Choose awesome-llm-apps over agent-toolkit when License: awesome-llm-apps is Apache-2.0, agent-toolkit is MIT; Pricing: Free with open-source licensing, but commercial exploitation is allowed.; Tags unique to awesome-llm-apps: agents, applications, customizable, deployable; Also covers Data & Retrieval; When you need quick implementations of various real-world use cases for AI Agents and RAG.
- When should I choose agent-toolkit over awesome-llm-apps?
- Choose agent-toolkit over awesome-llm-apps when License: agent-toolkit is MIT, awesome-llm-apps is Apache-2.0; Tags unique to agent-toolkit: agent-skills, ai, automation, claude; Also covers Vector Databases.
- 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.
- When should I avoid agent-toolkit?
- Last GitHub push was 131 days ago (slowing maintenance, Mar 5, 2026). Validate activity before betting a new project on agent-toolkit. AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism. Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate.
- Is awesome-llm-apps or agent-toolkit more popular on GitHub?
- awesome-llm-apps has more GitHub stars (119,936 vs 2,190). Stars measure visibility, not whether either tool fits your constraints.
- Are awesome-llm-apps and agent-toolkit open source?
- Yes - both are open-source projects on GitHub (awesome-llm-apps: Apache-2.0, agent-toolkit: MIT).
- Where can I find alternatives to awesome-llm-apps or agent-toolkit?
- GraphCanon lists graph-backed alternatives at awesome-llm-apps alternatives and agent-toolkit alternatives (awesome-llm-apps markdown twin, agent-toolkit 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, awesome-llm-apps or agent-toolkit?
- awesome-llm-apps: Very active. agent-toolkit: 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 awesome-llm-apps and agent-toolkit?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: awesome-llm-apps trust report; agent-toolkit trust report.