Comparison
Agently vs agentscope
Verdict
Pick Agently if agently, a Python framework for GenAI app development under Apache-2.0, simplifies agent interaction with structured data and supports model switching without recoding; 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.
Markdown twin · Agently alternatives · agentscope alternatives
GraphCanon updated today
Trust & integrity
| Signal | Agently | agentscope |
|---|---|---|
| Maintenance | Very active (5d since push) As of 3w · github_public_v1 | Very active (2d since push) As of today · github_public_v1 |
| Provenance | Not a fork · Organization account As of 3w · github_public_v1 | Not a fork · Organization account As of today · github_public_v1 |
| OSV dependency advisories | Published findings 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
- Agently
- [GenAI Application Development Framework]
- agentscope
- Build and run agents you can see, understand and trust.
Stars
- Agently
- 1.6k
- agentscope
- 29k
Forks
- Agently
- 176
- agentscope
- 3.4k
Open issues
- Agently
- 15
- agentscope
- 354
Language
- Agently
- Python
- agentscope
- Python
Adopt for
- Agently
- Agently, a Python framework for GenAI app development under Apache-2.0, simplifies agent interaction with structured data and supports model switching without recoding.
- 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
Persona
- Agently
- -
- agentscope
- -
Runtime
- Agently
- -
- agentscope
- -
License
- Agently
- Apache-2.0
- agentscope
- Apache-2.0
Last pushed
- Agently
- Jul 15, 2026
- agentscope
- Aug 14, 2026
Categories
- Agently
- AI Agents, LLM Frameworks
- agentscope
- AI Agents, LLM Frameworks
Trust and health
Days since push
- Agently
- 5d
- agentscope
- 2d
Open issues (now)
- Agently
- 15
- agentscope
- 354
Stars delta
- Agently
- Unknown
- agentscope
- +1.0k (30d)
Open issues delta
- Agently
- Unknown
- agentscope
- +70 (30d)
OSV dependency advisories
- Agently
- Published findings
- agentscope
- No lockfile (source not queried)
Full report
- Agently
- Trust report
- agentscope
- Trust report
Typed relationship
Choose Agently if…
- Both focus on building trustworthy AI agents but have distinct focuses and functionalities, making them related yet different.
- Tags unique to Agently: agent-based-framework, agent-framework, chatglm, claude.
- Need to develop applications quickly using various GenAI models like GPT or Gemini without rewrites
When NOT to use Agently
- Do not require flexibility across different GenAI models; specific model commitment is preferred
- *TriggerFlow*'s complexity is too high for very simple use cases or those needing direct simplicity over flow-based control
Choose agentscope if…
- Both focus on building trustworthy AI agents but have distinct focuses and functionalities, making them related yet different.
- Tags unique to agentscope: chatbot, large language models, llm, llm-agent.
- - You need to develop AI agents where transparency and interpretability are critical.
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
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (AgentEra/Agently) · observed Jul 21, 2026
- GitHub forks (AgentEra/Agently) · observed Jul 21, 2026
- Last push (AgentEra/Agently) · observed Jul 15, 2026
- License file (Apache-2.0) · observed Jul 21, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- 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 on cards: Agently 1.6k · agentscope 29k (synced Jul 21, 2026).
Common questions
- What is the difference between Agently and agentscope?
- Agently: [GenAI Application Development Framework]. agentscope: Build and run agents you can see, understand and trust.. See the comparison table for live GitHub stats and shared categories.
- When should I choose Agently over agentscope?
- Choose Agently over agentscope when Both focus on building trustworthy AI agents but have distinct focuses and functionalities, making them related yet different; Tags unique to Agently: agent-based-framework, agent-framework, chatglm, claude; Need to develop applications quickly using various GenAI models like GPT or Gemini without rewrites.
- When should I choose agentscope over Agently?
- Choose agentscope over Agently when Both focus on building trustworthy AI agents but have distinct focuses and functionalities, making them related yet different; Tags unique to agentscope: chatbot, large language models, llm, llm-agent; - You need to develop AI agents where transparency and interpretability are critical.
- When should I avoid Agently?
- Do not require flexibility across different GenAI models; specific model commitment is preferred *TriggerFlow*'s complexity is too high for very simple use cases or those needing direct simplicity over flow-based control
- 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
- Is Agently or agentscope more popular on GitHub?
- agentscope has more GitHub stars (28,973 vs 1,628). Stars measure visibility, not whether either tool fits your constraints.
- Are Agently and agentscope open source?
- Yes - both are open-source projects on GitHub (Agently: Apache-2.0, agentscope: Apache-2.0).
- Where can I find alternatives to Agently or agentscope?
- GraphCanon lists graph-backed alternatives at Agently alternatives and agentscope alternatives (Agently markdown twin, agentscope 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, Agently or agentscope?
- Agently: Very active. agentscope: 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 Agently and agentscope?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: Agently trust report; agentscope trust report.