Comparison
agentscope vs agno
Verdict
Pick agentscope if agentscope is a Python-based framework for developing and running agents, including chatbots and voice assistants, with support for large language models and multi-modal capabilities; 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. Ideal if you need to customize data.
Markdown twin · agentscope alternatives · agno alternatives
GraphCanon updated Sep 20, 2026
25views this month
Trust & integrity
| Signal | agentscope | agno |
|---|---|---|
| Maintenance | Very active (0d since push) As of Sep 18, 2026 · github_public_v1 | Very active (1d since push) As of Sep 20, 2026 · github_public_v1 |
| Provenance | Not a fork · Organization account As of Sep 18, 2026 · github_public_v1 | Not a fork · Organization account As of Sep 20, 2026 · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of Sep 18, 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
- agentscope
- Build and run agents you can see, understand and trust.
- agno
- Build, run, and manage your own agent platform.
Stars
- agentscope
- 32k
- agno
- 42k
Forks
- agentscope
- 3.5k
- agno
- 6.0k
Open issues
- agentscope
- 374
- agno
- 1.5k
Language
- agentscope
- Python
- agno
- Python
Adopt for
- agentscope
- agentscope is a Python-based framework for developing and running agents, including chatbots and voice assistants, with support for large language models and multi-modal capabilities.
- 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
- Sep 18, 2026
- agno
- Sep 18, 2026
Categories
- agentscope
- AI Agents
- agno
- AI Agents, Developer Tools
Trust and health
Days since push
- agentscope
- 0d
- agno
- 1d
Open issues (now)
- agentscope
- 374
- agno
- 1.5k
Stars delta
- agentscope
- +2.9k (30d)
- agno
- +472 (30d)
Open issues delta
- agentscope
- +20 (30d)
- agno
- +284 (30d)
Full report
- agentscope
- Trust report
- agno
- Trust report
Typed relationship
Choose agentscope if…
- Requirements: Requires Python 3.11 or higher..
- 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.
- When you need a framework that supports large language models and multi-modal capabilities for building chatbots and voice assistants.
When NOT to use agentscope
- If your project requires a framework that supports Python versions lower than 3.11.
- When you need a framework that does not emphasize multi-modal capabilities or large language models, as agentscope is specifically designed with these features.
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 Sep 20, 2026
- GitHub forks (agentscope-ai/agentscope) · observed Sep 20, 2026
- Last push (agentscope-ai/agentscope) · observed Sep 18, 2026
- License file (Apache-2.0) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Sep 18, 2026
- Trust scan (lockfile / OSV) · observed Sep 18, 2026
- GitHub stars (agno-agi/agno) · observed Sep 20, 2026
- GitHub forks (agno-agi/agno) · observed Sep 20, 2026
- Last push (agno-agi/agno) · observed Sep 18, 2026
- License file (Apache-2.0) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: agentscope 32k · agno 42k (synced Sep 20, 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 Requirements: Requires Python 3.11 or higher.; 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; When you need a framework that supports large language models and multi-modal capabilities for building chatbots and voice assistants.
- 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 requires a framework that supports Python versions lower than 3.11. When you need a framework that does not emphasize multi-modal capabilities or large language models, as agentscope is specifically designed with these features.
- 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 (42,257 vs 31,912). 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.