Comparison
agno vs maestro
Verdict
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 ownership and permissions; pick maestro if maestro is Netflix's workflow orchestrator built to manage complex workflows and data pipelines using advanced scheduling and automation features.
Markdown twin · agno alternatives · maestro alternatives
GraphCanon updated today
Trust & integrity
| Signal | agno | maestro |
|---|---|---|
| Maintenance | Very active (0d since push) As of 4d · github_public_v1 | Very active (0d since push) As of today · github_public_v1 |
| Provenance | Not a fork · Organization account As of 4d · github_public_v1 | Not a fork · Organization account As of today · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of 4d · osv@v1 | No lockfile (source not queried) As of today · 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
- agno
- Build, run, and manage your own agent platform.
- maestro
- Netflix's Workflow Orchestrator
Stars
- agno
- 41k
- maestro
- 3.8k
Forks
- agno
- 5.6k
- maestro
- 296
Open issues
- agno
- 1.0k
- maestro
- 35
Language
- agno
- Python
- maestro
- Java
Adopt for
- 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.
- maestro
- Maestro is Netflix's workflow orchestrator built to manage complex workflows and data pipelines using advanced scheduling and automation features.
Persona
- agno
- -
- maestro
- -
Runtime
- agno
- -
- maestro
- -
License
- agno
- Apache-2.0
- maestro
- Maestro is licensed under the Apache-2.0 license, allowing wide usage but with an 'AS IS' basis and no warranties or conditions stated.
Last pushed
- agno
- Jul 11, 2026
- maestro
- Jul 15, 2026
Categories
- agno
- AI Agents, Developer Tools
- maestro
- Developer Tools
Trust and health
Open issues (now)
- agno
- 1.0k
- maestro
- 35
Full report
- agno
- Trust report
- maestro
- Trust report
Choose agno if…
- agno is primarily Python; maestro is Java.
- Tags unique to agno: agents, ai-agents, developer-tools, python.
- Also covers AI Agents.
- 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.
Choose maestro if…
- maestro is primarily Java; agno is Python.
- Requirements: To install Maestro, ensure you have pip available to run `pip install maestro-sdk`, which is required for initiating use..
- Tags unique to maestro: agentic-workflow, analytics, automation, batch-processing.
- When your team requires support for complex workflows specifically enhanced by Netflix's engineering expertise, Maestro offers a tailored solution.
When NOT to use maestro
- Avoid using Maestro if your project requires lightweight solutions or integrates tightly with tools from other big tech firms with conflicting ecosystem priorities.
- Do not opt for Maestro if you need a tool without significant dependencies on Java, as it might complicate setups for teams working in a less Java-centric environment.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (agno-agi/agno) · observed Jul 11, 2026
- GitHub forks (agno-agi/agno) · observed Jul 11, 2026
- Last push (agno-agi/agno) · observed Jul 11, 2026
- License file (Apache-2.0) · observed Jul 11, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (Netflix/maestro) · observed Jul 15, 2026
- GitHub forks (Netflix/maestro) · observed Jul 15, 2026
- Last push (Netflix/maestro) · observed Jul 15, 2026
- License file (Apache-2.0) · observed Jul 15, 2026
- Decision facts (enrichment) · observed Jul 15, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
GitHub stars on cards: agno 41k · maestro 3.8k (synced Jul 11, 2026).
Common questions
- What is the difference between agno and maestro?
- agno: Build, run, and manage your own agent platform.. maestro: Netflix's Workflow Orchestrator. See the comparison table for live GitHub stats and shared categories.
- When should I choose agno over maestro?
- Choose agno over maestro when agno is primarily Python; maestro is Java; Tags unique to agno: agents, ai-agents, developer-tools, python; Also covers AI Agents; 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 choose maestro over agno?
- Choose maestro over agno when maestro is primarily Java; agno is Python; Requirements: To install Maestro, ensure you have pip available to run
pip install maestro-sdk, which is required for initiating use.; Tags unique to maestro: agentic-workflow, analytics, automation, batch-processing; When your team requires support for complex workflows specifically enhanced by Netflix's engineering expertise, Maestro offers a tailored solution. - 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.
- When should I avoid maestro?
- Avoid using Maestro if your project requires lightweight solutions or integrates tightly with tools from other big tech firms with conflicting ecosystem priorities. Do not opt for Maestro if you need a tool without significant dependencies on Java, as it might complicate setups for teams working in a less Java-centric environment.
- Is agno or maestro more popular on GitHub?
- agno has more GitHub stars (41,090 vs 3,799). Stars measure visibility, not whether either tool fits your constraints.
- Are agno and maestro open source?
- Yes - both are open-source projects on GitHub (agno: Apache-2.0, maestro: Apache-2.0).
- Where can I find alternatives to agno or maestro?
- GraphCanon lists graph-backed alternatives at agno alternatives and maestro alternatives (agno markdown twin, maestro 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, agno or maestro?
- agno: Very active. maestro: 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 agno and maestro?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: agno trust report; maestro trust report.