Comparison
agno vs FLAML
Verdict
Pick agno when agno is primarily Python; FLAML is Jupyter Notebook; pick FLAML when fLAML is primarily Jupyter Notebook; agno is Python.
Markdown twin · agno alternatives · FLAML alternatives
GraphCanon updated today
Trust & integrity
| Signal | agno | FLAML |
|---|---|---|
| Maintenance | Very active (0d since push) As of today · github_public_v1 | Very active (0d since push) As of today · github_public_v1 |
| Provenance | Not a fork · Organization account As of today · github_public_v1 | Not a fork · Organization account As of today · github_public_v1 |
| Security (OSV) | No lockfile As of today · none | No lockfile As of today · none |
Tagline
- agno
- Build, run, and manage your own agent platform.
- FLAML
- A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.
Stars
- agno
- 41k
- FLAML
- 4.4k
Forks
- agno
- 5.6k
- FLAML
- 558
Open issues
- agno
- 1.0k
- FLAML
- 182
Language
- agno
- Python
- FLAML
- Jupyter Notebook
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.
- FLAML
- -
Persona
- agno
- -
- FLAML
- -
Runtime
- agno
- -
- FLAML
- -
License
- agno
- Apache-2.0
- FLAML
- MIT
Last pushed
- agno
- Jul 11, 2026
- FLAML
- Jul 11, 2026
Categories
- agno
- AI Agents, Developer Tools
- FLAML
- Developer Tools
Trust and health
Open issues (now)
- agno
- 1.0k
- FLAML
- 182
Full report
- agno
- Trust report
- FLAML
- Trust report
Choose agno if…
- agno is primarily Python; FLAML is Jupyter Notebook.
- License: agno is Apache-2.0, FLAML is MIT.
- Tags unique to agno: agents, python, developer-tools, ai-agents.
- 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 FLAML if…
- FLAML is primarily Jupyter Notebook; agno is Python.
- License: FLAML is MIT, agno is Apache-2.0.
- Tags unique to FLAML: automl, data-science, hyperparam, deep-learning.
- FLAML ships Docker support for self-hosted deployment.
When NOT to use FLAML
- 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 (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 (microsoft/FLAML) · observed Jul 11, 2026
- GitHub forks (microsoft/FLAML) · observed Jul 11, 2026
- Last push (microsoft/FLAML) · observed Jul 11, 2026
- License file (MIT) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: agno 41k · FLAML 4.4k (synced Jul 11, 2026).
Common questions
- What is the difference between agno and FLAML?
- agno: Build, run, and manage your own agent platform.. FLAML: A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.. See the comparison table for live GitHub stats and shared categories.
- When should I choose agno over FLAML?
- Choose agno over FLAML when agno is primarily Python; FLAML is Jupyter Notebook; License: agno is Apache-2.0, FLAML is MIT; Tags unique to agno: agents, python, developer-tools, ai-agents; 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 FLAML over agno?
- Choose FLAML over agno when FLAML is primarily Jupyter Notebook; agno is Python; License: FLAML is MIT, agno is Apache-2.0; Tags unique to FLAML: automl, data-science, hyperparam, deep-learning; FLAML ships Docker support for self-hosted deployment.
- 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 FLAML?
- Developer Tools: A gateway is overkill when you're pinned to a single provider and model.
- Is agno or FLAML more popular on GitHub?
- agno has more GitHub stars (41,090 vs 4,373). Stars measure visibility, not whether either tool fits your constraints.
- Are agno and FLAML open source?
- Yes - both are open-source projects on GitHub (agno: Apache-2.0, FLAML: MIT).
- Where can I find alternatives to agno or FLAML?
- GraphCanon lists graph-backed alternatives at agno alternatives and FLAML alternatives (agno markdown twin, FLAML 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 FLAML?
- agno: Very active. FLAML: 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 FLAML?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: agno trust report; FLAML trust report.