Comparison
autogen vs llama-hub
Verdict
Pick autogen when autogen is primarily Python; llama-hub is Jupyter Notebook; pick llama-hub when llama-hub is primarily Jupyter Notebook; autogen is Python.
Markdown twin · autogen alternatives · llama-hub alternatives
GraphCanon updated today
vs
Trust & integrity
| Signal | autogen | llama-hub |
|---|---|---|
| Maintenance | Steady (87d since push) As of today · github_public_v1 | Archived (861d 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 | 121 low (121 low) As of today · osv@v1 |
Tagline
- autogen
- A programming framework for agentic AI
- llama-hub
- A library of data loaders for LLMs made by the community -- to be used with LlamaIndex and/or LangChain
Stars
- autogen
- 60k
- llama-hub
- 3.5k
Forks
- autogen
- 9.0k
- llama-hub
- 719
Open issues
- autogen
- 945
- llama-hub
- 96
Language
- autogen
- Python
- llama-hub
- Jupyter Notebook
Adopt for
- autogen
- AutoGen is a Python-based framework for developing and managing agentic AI systems. It includes the AutoGen Studio for no-code GUI setup, integrating with various models.
- llama-hub
- -
Persona
- autogen
- -
- llama-hub
- -
Runtime
- autogen
- -
- llama-hub
- -
License
- autogen
- CC-BY-4.0
- llama-hub
- MIT
Last pushed
- autogen
- Apr 15, 2026
- llama-hub
- Mar 1, 2024
Categories
- autogen
- LLM Frameworks, AI Agents
- llama-hub
- Data & Retrieval, LLM Frameworks, Evaluation & Observability
Trust and health
Maintenance
- autogen
- Steady (60%)
- llama-hub
- Archived (8%)
Days since push
- autogen
- 87d
- llama-hub
- 861d
Archived on GitHub
- autogen
- No
- llama-hub
- Yes
Open issues (now)
- autogen
- 945
- llama-hub
- 96
Security scan
- autogen
- No lockfile
- llama-hub
- 121 low (121 low)
Full report
- autogen
- Trust report
- llama-hub
- Trust report
Shared compatibility
- Python · autogen: Python runtime · llama-hub: Python runtime
Choose autogen if…
- autogen is primarily Python; llama-hub is Jupyter Notebook.
- License: autogen is CC-BY-4.0, llama-hub is MIT.
- Requirements: Min 4 GB RAM; AutoGen requires Python 3.10 or later.; Ensure security when connecting to MCP servers due to the potential for local command execution and sensitive information exposure..
- Tags unique to autogen: llm-framework, autogen, agents, ai.
- Also covers AI Agents.
- You need a framework that supports integration with multiple AI models via OpenAI's chat completion client.
When NOT to use autogen
- If you require tools supporting multiple programming languages beyond Python, as AutoGen is strictly a Python-based framework.
- When deploying in environments where connecting to external servers (like those used by MCP) could pose security risks or is prohibited.
- You need solutions which do not involve additional installations for server components such as `playwright/mcp`, as AutoGen requires this setup for certain functionalities.
Choose llama-hub if…
- llama-hub is primarily Jupyter Notebook; autogen is Python.
- License: llama-hub is MIT, autogen is CC-BY-4.0.
- Tags unique to llama-hub: jupyter notebook.
- Also covers Data & Retrieval, Evaluation & Observability.
When NOT to use llama-hub
- llama-hub is archived on GitHub. Prefer an active alternative unless you maintain a private fork or need a frozen dependency.
- Data & Retrieval: Skip a heavy ingestion framework when your corpus is small and static; a script plus the embedding API is enough.
- LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
- Evaluation & Observability: Defer heavyweight eval infra only until you have real traffic - never skip it once users depend on answers.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (microsoft/autogen) · observed Jul 11, 2026
- GitHub forks (microsoft/autogen) · observed Jul 11, 2026
- Last push (microsoft/autogen) · observed Apr 15, 2026
- License file (CC-BY-4.0) · observed Jul 11, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (run-llama/llama-hub) · observed Jul 11, 2026
- GitHub forks (run-llama/llama-hub) · observed Jul 11, 2026
- Last push (run-llama/llama-hub) · observed Mar 1, 2024
- License file (MIT) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: autogen 60k · llama-hub 3.5k (synced Jul 11, 2026).
Common questions
- What is the difference between autogen and llama-hub?
- autogen: A programming framework for agentic AI. llama-hub: A library of data loaders for LLMs made by the community -- to be used with LlamaIndex and/or LangChain. See the comparison table for live GitHub stats and shared categories.
- When should I choose autogen over llama-hub?
- Choose autogen over llama-hub when autogen is primarily Python; llama-hub is Jupyter Notebook; License: autogen is CC-BY-4.0, llama-hub is MIT; Requirements: Min 4 GB RAM; AutoGen requires Python 3.10 or later.; Ensure security when connecting to MCP servers due to the potential for local command execution and sensitive information exposure.; Tags unique to autogen: llm-framework, autogen, agents, ai; Also covers AI Agents; You need a framework that supports integration with multiple AI models via OpenAI's chat completion client.
- When should I choose llama-hub over autogen?
- Choose llama-hub over autogen when llama-hub is primarily Jupyter Notebook; autogen is Python; License: llama-hub is MIT, autogen is CC-BY-4.0; Tags unique to llama-hub: jupyter notebook; Also covers Data & Retrieval, Evaluation & Observability.
- When should I avoid autogen?
- If you require tools supporting multiple programming languages beyond Python, as AutoGen is strictly a Python-based framework. When deploying in environments where connecting to external servers (like those used by MCP) could pose security risks or is prohibited. You need solutions which do not involve additional installations for server components such as
playwright/mcp, as AutoGen requires this setup for certain functionalities. - When should I avoid llama-hub?
- llama-hub is archived on GitHub. Prefer an active alternative unless you maintain a private fork or need a frozen dependency. Data & Retrieval: Skip a heavy ingestion framework when your corpus is small and static; a script plus the embedding API is enough. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. Evaluation & Observability: Defer heavyweight eval infra only until you have real traffic - never skip it once users depend on answers.
- Is autogen or llama-hub more popular on GitHub?
- autogen has more GitHub stars (59,658 vs 3,473). Stars measure visibility, not whether either tool fits your constraints.
- Are autogen and llama-hub open source?
- Yes - both are open-source projects on GitHub (autogen: CC-BY-4.0, llama-hub: MIT).
- Where can I find alternatives to autogen or llama-hub?
- GraphCanon lists graph-backed alternatives at autogen alternatives and llama-hub alternatives (autogen markdown twin, llama-hub 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, autogen or llama-hub?
- autogen: Steady. llama-hub: Archived. 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 autogen and llama-hub?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: autogen trust report; llama-hub trust report.