Comparison
lagent vs awesome-ai-apps
Verdict
Pick lagent if lagent is a Python framework aimed at streamlining the creation of lightweight Large Language Model (LLM) agents; pick awesome-ai-apps if awesome-ai-apps offers curated AI application examples with diverse tech stacks including OpenAI, Gemini, and local models.
Markdown twin · lagent alternatives · awesome-ai-apps alternatives
GraphCanon updated 6d
vs
Trust & integrity
| Signal | lagent | awesome-ai-apps |
|---|---|---|
| Maintenance | Active (12d since push) As of 6d · github_public_v1 | Slowing (182d since push) As of 1w · github_public_v1 |
| Provenance | Not a fork · Organization account As of 6d · github_public_v1 | Not a fork · Personal account As of 1w · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of 1mo · osv@v1 | No lockfile (source not queried) As of 1mo · 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
- lagent
- A lightweight framework for building LLM-based agents
- awesome-ai-apps
- A curated collection of AI Agents and LLM Apps with various tech stacks
Stars
- lagent
- 2.3k
- awesome-ai-apps
- 817
Forks
- lagent
- 238
- awesome-ai-apps
- 174
Open issues
- lagent
- 24
- awesome-ai-apps
- 27
Language
- lagent
- Python
- awesome-ai-apps
- HTML
Adopt for
- lagent
- lagent is a Python framework aimed at streamlining the creation of lightweight Large Language Model (LLM) agents.
- awesome-ai-apps
- awesome-ai-apps offers curated AI application examples with diverse tech stacks including OpenAI, Gemini, and local models.
Persona
- lagent
- -
- awesome-ai-apps
- -
Runtime
- lagent
- -
- awesome-ai-apps
- -
License
- lagent
- lagent is open-source under the Apache-2.0 license, allowing for broad use and modification with attribution.
- awesome-ai-apps
- Apache-2.0
Last pushed
- lagent
- Aug 3, 2026
- awesome-ai-apps
- Feb 10, 2026
Categories
- lagent
- AI Agents, LLM Frameworks
- awesome-ai-apps
- AI Agents, LLM Frameworks
Trust and health
Maintenance
- lagent
- Active (82%)
- awesome-ai-apps
- Slowing (36%)
Days since push
- lagent
- 12d
- awesome-ai-apps
- 182d
Open issues (now)
- lagent
- 24
- awesome-ai-apps
- 27
Stars delta
- lagent
- +8 (30d)
- awesome-ai-apps
- Unknown
Open issues delta
- lagent
- +1 (30d)
- awesome-ai-apps
- Unknown
Owner type
- lagent
- Organization
- awesome-ai-apps
- User
Full report
- lagent
- Trust report
- awesome-ai-apps
- Trust report
Choose lagent if…
- lagent is primarily Python; awesome-ai-apps is HTML.
- Pricing: Available freely due to its open-source nature, but customization or enterprise support might involve additional costs..
- Tags unique to lagent: agent, gpt, transformers.
- When you need a streamlined approach to develop LLM-based agents with minimal overhead, lagent can be particularly advantageous due to its lightweight design.
When NOT to use lagent
- Avoid using lagent if your project necessitates integration with a broader set of tools that are not natively supported by this framework, as it offers limited out-of-the-box extensibility.
- Steer clear if you need robust scalability features right from the start. While lightweight, lagent may require additional custom work to handle more demanding scaling requirements.
Choose awesome-ai-apps if…
- awesome-ai-apps is primarily HTML; lagent is Python.
- Tags unique to awesome-ai-apps: agents, ai, apps, automation.
- For exploring real-world implementations of AI agents across different technologies
When NOT to use awesome-ai-apps
- When seeking detailed implementation steps specific to one technology stack
- In scenarios demanding a deep dive into proprietary or less publicly-known application codes
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (InternLM/lagent) · observed Aug 16, 2026
- GitHub forks (InternLM/lagent) · observed Aug 16, 2026
- Last push (InternLM/lagent) · observed Aug 3, 2026
- License file (Apache-2.0) · observed Aug 16, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (rohitg00/awesome-ai-apps) · observed Aug 12, 2026
- GitHub forks (rohitg00/awesome-ai-apps) · observed Aug 12, 2026
- Last push (rohitg00/awesome-ai-apps) · observed Feb 10, 2026
- License file (Apache-2.0) · observed Aug 12, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
GitHub stars on cards: lagent 2.3k · awesome-ai-apps 817 (synced Aug 16, 2026).
Common questions
- What is the difference between lagent and awesome-ai-apps?
- lagent: A lightweight framework for building LLM-based agents. awesome-ai-apps: A curated collection of AI Agents and LLM Apps with various tech stacks. See the comparison table for live GitHub stats and shared categories.
- When should I choose lagent over awesome-ai-apps?
- Choose lagent over awesome-ai-apps when lagent is primarily Python; awesome-ai-apps is HTML; Pricing: Available freely due to its open-source nature, but customization or enterprise support might involve additional costs.; Tags unique to lagent: agent, gpt, transformers; When you need a streamlined approach to develop LLM-based agents with minimal overhead, lagent can be particularly advantageous due to its lightweight design.
- When should I choose awesome-ai-apps over lagent?
- Choose awesome-ai-apps over lagent when awesome-ai-apps is primarily HTML; lagent is Python; Tags unique to awesome-ai-apps: agents, ai, apps, automation; For exploring real-world implementations of AI agents across different technologies.
- When should I avoid lagent?
- Avoid using lagent if your project necessitates integration with a broader set of tools that are not natively supported by this framework, as it offers limited out-of-the-box extensibility. Steer clear if you need robust scalability features right from the start. While lightweight, lagent may require additional custom work to handle more demanding scaling requirements.
- When should I avoid awesome-ai-apps?
- When seeking detailed implementation steps specific to one technology stack In scenarios demanding a deep dive into proprietary or less publicly-known application codes
- Is lagent or awesome-ai-apps more popular on GitHub?
- lagent has more GitHub stars (2,276 vs 817). Stars measure visibility, not whether either tool fits your constraints.
- Are lagent and awesome-ai-apps open source?
- Yes - both are open-source projects on GitHub (lagent: Apache-2.0, awesome-ai-apps: Apache-2.0).
- Where can I find alternatives to lagent or awesome-ai-apps?
- GraphCanon lists graph-backed alternatives at lagent alternatives and awesome-ai-apps alternatives (lagent 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, lagent or awesome-ai-apps?
- lagent: 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 lagent and awesome-ai-apps?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: lagent trust report; awesome-ai-apps trust report.