Comparison
agentscope vs lagent
Verdict
Pick agentscope if agentscope is a Python-based development tool focused on creating transparent and trustworthy AI agents. It supports the creation of both single and multi-agent systems incorporating large language models into its design; pick lagent if lagent is a Python framework aimed at streamlining the creation of lightweight Large Language Model (LLM) agents.
Markdown twin · agentscope alternatives · lagent alternatives
GraphCanon updated 1w
vs
Trust & integrity
| Signal | agentscope | lagent |
|---|---|---|
| Maintenance | Very active (2d since push) As of 1w · github_public_v1 | Active (12d since push) As of 1w · github_public_v1 |
| Provenance | Not a fork · Organization account As of 1w · github_public_v1 | Not a fork · Organization 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
- agentscope
- Build and run agents you can see, understand and trust.
- lagent
- A lightweight framework for building LLM-based agents
Stars
- agentscope
- 29k
- lagent
- 2.3k
Forks
- agentscope
- 3.4k
- lagent
- 238
Open issues
- agentscope
- 354
- lagent
- 24
Language
- agentscope
- Python
- lagent
- Python
Adopt for
- agentscope
- agentscope is a Python-based development tool focused on creating transparent and trustworthy AI agents. It supports the creation of both single and multi-agent systems incorporating large language models into its design
- lagent
- lagent is a Python framework aimed at streamlining the creation of lightweight Large Language Model (LLM) agents.
Persona
- agentscope
- -
- lagent
- -
Runtime
- agentscope
- -
- lagent
- -
License
- agentscope
- Apache-2.0
- lagent
- lagent is open-source under the Apache-2.0 license, allowing for broad use and modification with attribution.
Last pushed
- agentscope
- Aug 14, 2026
- lagent
- Aug 3, 2026
Categories
- agentscope
- AI Agents, LLM Frameworks
- lagent
- AI Agents, LLM Frameworks
Trust and health
Maintenance
- agentscope
- Very active (96%)
- lagent
- Active (82%)
Days since push
- agentscope
- 2d
- lagent
- 12d
Open issues (now)
- agentscope
- 354
- lagent
- 24
Stars delta
- agentscope
- +1.0k (30d)
- lagent
- +8 (30d)
Open issues delta
- agentscope
- +70 (30d)
- lagent
- +1 (30d)
Full report
- agentscope
- Trust report
- lagent
- Trust report
Shared compatibility
- Python · agentscope: Python runtime · lagent: Python runtime
Choose agentscope if…
- Tags unique to agentscope: chatbot, large language models, llm-agent, multi-agent.
- - You need to develop AI agents where transparency and interpretability are critical.
- More GitHub stars (29k vs 2.3k) - visibility, not fit.
When NOT to use agentscope
- - If your project does not benefit from the transparency features offered by agentscope, and less emphasis is placed on interpretability and more on specialized machine learning tasks without a need
Choose lagent if…
- Pricing: Available freely due to its open-source nature, but customization or enterprise support might involve additional costs..
- Tags unique to lagent: 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.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (agentscope-ai/agentscope) · observed Aug 16, 2026
- GitHub forks (agentscope-ai/agentscope) · observed Aug 16, 2026
- Last push (agentscope-ai/agentscope) · observed Aug 14, 2026
- License file (Apache-2.0) · observed Aug 16, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- 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 on cards: agentscope 29k · lagent 2.3k (synced Aug 16, 2026).
Common questions
- What is the difference between agentscope and lagent?
- agentscope: Build and run agents you can see, understand and trust.. lagent: A lightweight framework for building LLM-based agents. See the comparison table for live GitHub stats and shared categories.
- When should I choose agentscope over lagent?
- Choose agentscope over lagent when Tags unique to agentscope: chatbot, large language models, llm-agent, multi-agent; - You need to develop AI agents where transparency and interpretability are critical; More GitHub stars (29k vs 2.3k) - visibility, not fit.
- When should I choose lagent over agentscope?
- Choose lagent over agentscope when Pricing: Available freely due to its open-source nature, but customization or enterprise support might involve additional costs.; Tags unique to lagent: 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 avoid agentscope?
- - If your project does not benefit from the transparency features offered by agentscope, and less emphasis is placed on interpretability and more on specialized machine learning tasks without a need
- 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.
- Is agentscope or lagent more popular on GitHub?
- agentscope has more GitHub stars (28,973 vs 2,276). Stars measure visibility, not whether either tool fits your constraints.
- Are agentscope and lagent open source?
- Yes - both are open-source projects on GitHub (agentscope: Apache-2.0, lagent: Apache-2.0).
- Where can I find alternatives to agentscope or lagent?
- GraphCanon lists graph-backed alternatives at agentscope alternatives and lagent alternatives (agentscope markdown twin, lagent 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, agentscope or lagent?
- agentscope: Very active. lagent: 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 agentscope and lagent?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: agentscope trust report; lagent trust report.