Comparison
agentscope vs agno
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 agno if use agno for a high level of control over your AI agent platform, including 50+ production API endpoints and support for 100+ integrations.
Markdown twin · agentscope alternatives · agno alternatives
GraphCanon updated 2d
vs
Trust & integrity
| Signal | agentscope | agno |
|---|---|---|
| Maintenance | Very active (2d since push) As of 5d · github_public_v1 | Very active (0d since push) As of 2d · github_public_v1 |
| Provenance | Not a fork · Organization account As of 5d · github_public_v1 | Not a fork · Organization account As of 2d · 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.
- agno
- Build, run, and manage your own agent platform.
Stars
- agentscope
- 29k
- agno
- 42k
Forks
- agentscope
- 3.4k
- agno
- 5.8k
Open issues
- agentscope
- 354
- agno
- 1.3k
Language
- agentscope
- Python
- agno
- 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
- agno
- Use agno for a high level of control over your AI agent platform, including 50+ production API endpoints and support for 100+ integrations. Ideal if you need to customize data ownership and permissions.
Persona
- agentscope
- -
- agno
- -
Runtime
- agentscope
- -
- agno
- -
License
- agentscope
- Apache-2.0
- agno
- Apache-2.0
Last pushed
- agentscope
- Aug 14, 2026
- agno
- Aug 19, 2026
Categories
- agentscope
- AI Agents, LLM Frameworks
- agno
- AI Agents, Developer Tools
Trust and health
Days since push
- agentscope
- 2d
- agno
- 0d
Open issues (now)
- agentscope
- 354
- agno
- 1.3k
Stars delta
- agentscope
- +1.0k (30d)
- agno
- +487 (30d)
Open issues delta
- agentscope
- +70 (30d)
- agno
- +264 (30d)
Full report
- agentscope
- Trust report
- agno
- Trust report
Typed relationship
agentscope alternative agnoBoth Agno and agentscope focus on enabling users to build, run, and understand AI agents effectively. They share the goal of providing transparency and trust in agent development.
Choose agentscope if…
- Both Agno and agentscope focus on enabling users to build, run, and understand AI agents effectively. They share the goal of providing transparency and trust in agent development.
- Tags unique to agentscope: agent, chatbot, large language models, llm.
- Also covers LLM Frameworks.
- - 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
Choose agno if…
- Both Agno and agentscope focus on enabling users to build, run, and understand AI agents effectively. They share the goal of providing transparency and trust in agent development.
- Tags unique to agno: agents, ai-agents, developer-tools, python.
- Also covers Developer Tools.
- Use agno for a high level of control over your AI agent platform, including 50+ production API endpoints and support for 100+ integrations. Ideal if you need to customize data ownership and permissions.
When NOT to use agno
- AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism.
- Developer Tools: A gateway is overkill when you're pinned to a single provider and model.
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 (agno-agi/agno) · observed Aug 19, 2026
- GitHub forks (agno-agi/agno) · observed Aug 19, 2026
- Last push (agno-agi/agno) · observed Aug 19, 2026
- License file (Apache-2.0) · observed Aug 19, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: agentscope 29k · agno 42k (synced Aug 16, 2026).
Common questions
- What is the difference between agentscope and agno?
- agentscope: Build and run agents you can see, understand and trust.. agno: Build, run, and manage your own agent platform.. See the comparison table for live GitHub stats and shared categories.
- When should I choose agentscope over agno?
- Choose agentscope over agno when Both Agno and agentscope focus on enabling users to build, run, and understand AI agents effectively. They share the goal of providing transparency and trust in agent development; Tags unique to agentscope: agent, chatbot, large language models, llm; Also covers LLM Frameworks; - You need to develop AI agents where transparency and interpretability are critical.
- When should I choose agno over agentscope?
- Choose agno over agentscope when Both Agno and agentscope focus on enabling users to build, run, and understand AI agents effectively. They share the goal of providing transparency and trust in agent development; Tags unique to agno: agents, ai-agents, developer-tools, python; Also covers Developer Tools; Use agno for a high level of control over your AI agent platform, including 50+ production API endpoints and support for 100+ integrations. Ideal if you need to customize data ownership and permissions.
- 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 agno?
- AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism. Developer Tools: A gateway is overkill when you're pinned to a single provider and model.
- Is agentscope or agno more popular on GitHub?
- agno has more GitHub stars (41,785 vs 28,973). Stars measure visibility, not whether either tool fits your constraints.
- Are agentscope and agno open source?
- Yes - both are open-source projects on GitHub (agentscope: Apache-2.0, agno: Apache-2.0).
- Where can I find alternatives to agentscope or agno?
- GraphCanon lists graph-backed alternatives at agentscope alternatives and agno alternatives (agentscope markdown twin, agno 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 agno?
- agentscope: Very active. agno: 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 agentscope and agno?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: agentscope trust report; agno trust report.