Comparison
askimo vs awesome-llm-apps
Verdict
Pick askimo when askimo is primarily Kotlin; awesome-llm-apps is Python; pick awesome-llm-apps when awesome-llm-apps is primarily Python; askimo is Kotlin.
Markdown twin · askimo alternatives · awesome-llm-apps alternatives
GraphCanon updated Sep 7, 2026
8views this month
vs
Trust & integrity
| Signal | askimo | awesome-llm-apps |
|---|---|---|
| Maintenance | Very active (0d since push) As of Aug 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 Aug 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
- askimo
- AI Client for chat, RAG, and agents with multi-provider model support.
- awesome-llm-apps
- Over 100 runnable AI Agent and RAG apps to clone, tweak, and deploy.
Stars
- askimo
- 318
- awesome-llm-apps
- 136k
Forks
- askimo
- 66
- awesome-llm-apps
- 20k
Open issues
- askimo
- 19
- awesome-llm-apps
- 10
Language
- askimo
- Kotlin
- awesome-llm-apps
- Python
Adopt for
- askimo
- -
- 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
- askimo
- -
- awesome-llm-apps
- -
Runtime
- askimo
- -
- awesome-llm-apps
- -
License
- askimo
- AGPL-3.0
- 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
- askimo
- Aug 13, 2026
- awesome-llm-apps
- Sep 2, 2026
Categories
- askimo
- AI Agents, Data & Retrieval
- awesome-llm-apps
- AI Agents, Data & Retrieval
Trust and health
Days since push
- askimo
- 0d
- awesome-llm-apps
- 4d
Open issues (now)
- askimo
- 19
- awesome-llm-apps
- 10
Stars delta
- askimo
- Unknown
- awesome-llm-apps
- +5.2k (30d)
Open issues delta
- askimo
- Unknown
- awesome-llm-apps
- -3 (30d)
Owner type
- askimo
- Organization
- awesome-llm-apps
- User
Full report
- askimo
- Trust report
- awesome-llm-apps
- Trust report
Choose askimo if…
- askimo is primarily Kotlin; awesome-llm-apps is Python.
- License: askimo is AGPL-3.0, awesome-llm-apps is Apache-2.0.
- Pricing: The pricing information on the Askimo repository is not specified..
- Tags unique to askimo: agentic-workflow, ai-assistant, artificial-intelligence, chat-client.
- Use for Kotlin developers who need to integrate chat and AI agents with multi-provider support including Claude, Codex, Gemini, and OpenAI.
When NOT to use askimo
- Avoid if you require a solution that supports languages other than Kotlin, as Askimo is exclusively built for Kotlin environments.
- Not suitable if your project has strict licensing requirements and requires proprietary code, due to its AGPL-3.0 license which might impose restrictions.
Choose awesome-llm-apps if…
- awesome-llm-apps is primarily Python; askimo is Kotlin.
- License: awesome-llm-apps is Apache-2.0, askimo is AGPL-3.0.
- Pricing: Free with open-source licensing, but commercial exploitation is allowed..
- Tags unique to awesome-llm-apps: agents, applications, customizable, deployable.
- 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 (askimo-ai/askimo) · observed Aug 13, 2026
- GitHub forks (askimo-ai/askimo) · observed Aug 13, 2026
- Last push (askimo-ai/askimo) · observed Aug 13, 2026
- License file (AGPL-3.0) · observed Aug 13, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
- GitHub stars (Shubhamsaboo/awesome-llm-apps) · observed Sep 7, 2026
- GitHub forks (Shubhamsaboo/awesome-llm-apps) · observed Sep 7, 2026
- Last push (Shubhamsaboo/awesome-llm-apps) · observed Sep 2, 2026
- License file (Apache-2.0) · observed Sep 7, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: askimo 318 · awesome-llm-apps 136k (synced Aug 13, 2026).
Common questions
- What is the difference between askimo and awesome-llm-apps?
- askimo: AI Client for chat, RAG, and agents with multi-provider model support.. 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 askimo over awesome-llm-apps?
- Choose askimo over awesome-llm-apps when askimo is primarily Kotlin; awesome-llm-apps is Python; License: askimo is AGPL-3.0, awesome-llm-apps is Apache-2.0; Pricing: The pricing information on the Askimo repository is not specified.; Tags unique to askimo: agentic-workflow, ai-assistant, artificial-intelligence, chat-client; Use for Kotlin developers who need to integrate chat and AI agents with multi-provider support including Claude, Codex, Gemini, and OpenAI.
- When should I choose awesome-llm-apps over askimo?
- Choose awesome-llm-apps over askimo when awesome-llm-apps is primarily Python; askimo is Kotlin; License: awesome-llm-apps is Apache-2.0, askimo is AGPL-3.0; Pricing: Free with open-source licensing, but commercial exploitation is allowed.; Tags unique to awesome-llm-apps: agents, applications, customizable, deployable; When you need quick implementations of various real-world use cases for AI Agents and RAG.
- When should I avoid askimo?
- Avoid if you require a solution that supports languages other than Kotlin, as Askimo is exclusively built for Kotlin environments. Not suitable if your project has strict licensing requirements and requires proprietary code, due to its AGPL-3.0 license which might impose restrictions.
- 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 askimo or awesome-llm-apps more popular on GitHub?
- awesome-llm-apps has more GitHub stars (136,444 vs 318). Stars measure visibility, not whether either tool fits your constraints.
- Are askimo and awesome-llm-apps open source?
- Yes - both are open-source projects on GitHub (askimo: AGPL-3.0, awesome-llm-apps: Apache-2.0).
- Where can I find alternatives to askimo or awesome-llm-apps?
- GraphCanon lists graph-backed alternatives at askimo alternatives and awesome-llm-apps alternatives (askimo 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, askimo or awesome-llm-apps?
- askimo: Very active. 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 askimo and awesome-llm-apps?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: askimo trust report; awesome-llm-apps trust report.