Comparison
autogen vs llama_index
Verdict
Pick autogen if autoGen is a Python-based framework for developing agentic AI systems, offering tools for integrating with external models and services, and a no-code GUI for easier interaction; pick llama_index if llamaIndex is an open-source framework for building AI-powered document processing applications, including RAG and agent applications, with a focus on document parsing and extraction. It offers over 300.
Markdown twin · autogen alternatives · llama_index alternatives
GraphCanon updated Sep 30, 2026
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Trust & integrity
| Signal | autogen | llama_index |
|---|---|---|
| Maintenance | Slowing (155d since push) As of Sep 18, 2026 · github_public_v1 | Very active (0d since push) As of Sep 18, 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 18, 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 Sep 18, 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
- autogen
- A programming framework for agentic AI
- llama_index
- Document processing platform for AI
Stars
- autogen
- 61k
- llama_index
- 52k
Forks
- autogen
- 9.2k
- llama_index
- 8.2k
Open issues
- autogen
- 1.1k
- llama_index
- 802
Language
- autogen
- Python
- llama_index
- Python
Adopt for
- autogen
- AutoGen is a Python-based framework for developing agentic AI systems, offering tools for integrating with external models and services, and a no-code GUI for easier interaction.
- llama_index
- LlamaIndex is an open-source framework for building AI-powered document processing applications, including RAG and agent applications, with a focus on document parsing and extraction. It offers over 300 integration packs
Persona
- autogen
- -
- llama_index
- -
Runtime
- autogen
- -
- llama_index
- -
License
- autogen
- CC-BY-4.0
- llama_index
- MIT
Last pushed
- autogen
- Apr 15, 2026
- llama_index
- Sep 18, 2026
Categories
- autogen
- AI Agents, LLM Frameworks
- llama_index
- AI Agents, Data & Retrieval, Developer Tools, Model Training
Trust and health
Maintenance
- autogen
- Slowing (36%)
- llama_index
- Very active (96%)
Days since push
- autogen
- 155d
- llama_index
- 0d
Open issues (now)
- autogen
- 1.1k
- llama_index
- 802
Stars delta
- autogen
- +897 (30d)
- llama_index
- +765 (30d)
Open issues delta
- autogen
- +105 (30d)
- llama_index
- +187 (30d)
Full report
- autogen
- Trust report
- llama_index
- Trust report
Typed relationship
autogen alternative llama_indexBoth LlamaIndex and Autogen provide frameworks for multi-agent AI applications. While they share a common goal of creating such systems, their approaches differ significantly in design.
Shared compatibility
- Python · autogen: Python runtime · llama_index: Python runtime
Choose autogen if…
- License: autogen is CC-BY-4.0, llama_index is MIT.
- Requirements: AutoGen requires Python 3.10 or later.; Installation of AutoGen Studio is optional for no-code GUI interaction.; Ensure trusted MCP servers are used to avoid security risks..
- Both LlamaIndex and Autogen provide frameworks for multi-agent AI applications. While they share a common goal of creating such systems, their approaches differ significantly in design.
- Tags unique to autogen: agentic, agentic-agi, ai, autogen.
- Also covers LLM Frameworks.
- When you need a structured approach to create and manage AI agents with Python.
When NOT to use autogen
- If your project requires a version of Python earlier than 3.10, as AutoGen is not compatible.
- When you need a framework that does not rely on potentially untrusted MCP servers for execution.
- If your project does not require or benefit from the no-code GUI provided by AutoGen Studio.
- When you prefer a framework that does not involve the complexity of setting up and managing multiple MCP servers.
Choose llama_index if…
- License: llama_index is MIT, autogen is CC-BY-4.0.
- Both LlamaIndex and Autogen provide frameworks for multi-agent AI applications. While they share a common goal of creating such systems, their approaches differ significantly in design.
- Tags unique to llama_index: application, data, fine-tuning, llamaindex.
- Also covers Data & Retrieval, Developer Tools, Model Training.
- When you need a framework that focuses on document parsing and extraction, as LlamaIndex has evolved to prioritize these capabilities
When NOT to use llama_index
- If your project requires enterprise-level features such as agentic OCR, as LlamaIndex's primary focus has shifted towards LlamaParse, an enterprise platform
- When you need a tool that is actively developed and maintained as the primary focus of the company has shifted towards LlamaParse and LiteParse, and the OSS framework is now a secondary focus
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 Sep 20, 2026
- GitHub forks (microsoft/autogen) · observed Sep 20, 2026
- Last push (microsoft/autogen) · observed Apr 15, 2026
- License file (CC-BY-4.0) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Sep 18, 2026
- Trust scan (lockfile / OSV) · observed Sep 18, 2026
- GitHub stars (run-llama/llama_index) · observed Sep 20, 2026
- GitHub forks (run-llama/llama_index) · observed Sep 20, 2026
- Last push (run-llama/llama_index) · observed Sep 18, 2026
- License file (MIT) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Sep 18, 2026
- Trust scan (lockfile / OSV) · observed Sep 18, 2026
GitHub stars on cards: autogen 61k · llama_index 52k (synced Sep 20, 2026).
Common questions
- What is the difference between autogen and llama_index?
- autogen: A programming framework for agentic AI. llama_index: Document processing platform for AI. See the comparison table for live GitHub stats and shared categories.
- When should I choose autogen over llama_index?
- Choose autogen over llama_index when License: autogen is CC-BY-4.0, llama_index is MIT; Requirements: AutoGen requires Python 3.10 or later.; Installation of AutoGen Studio is optional for no-code GUI interaction.; Ensure trusted MCP servers are used to avoid security risks.; Both LlamaIndex and Autogen provide frameworks for multi-agent AI applications. While they share a common goal of creating such systems, their approaches differ significantly in design; Tags unique to autogen: agentic, agentic-agi, ai, autogen; Also covers LLM Frameworks; When you need a structured approach to create and manage AI agents with Python.
- When should I choose llama_index over autogen?
- Choose llama_index over autogen when License: llama_index is MIT, autogen is CC-BY-4.0; Both LlamaIndex and Autogen provide frameworks for multi-agent AI applications. While they share a common goal of creating such systems, their approaches differ significantly in design; Tags unique to llama_index: application, data, fine-tuning, llamaindex; Also covers Data & Retrieval, Developer Tools, Model Training; When you need a framework that focuses on document parsing and extraction, as LlamaIndex has evolved to prioritize these capabilities.
- When should I avoid autogen?
- If your project requires a version of Python earlier than 3.10, as AutoGen is not compatible. When you need a framework that does not rely on potentially untrusted MCP servers for execution. If your project does not require or benefit from the no-code GUI provided by AutoGen Studio. When you prefer a framework that does not involve the complexity of setting up and managing multiple MCP servers.
- When should I avoid llama_index?
- If your project requires enterprise-level features such as agentic OCR, as LlamaIndex's primary focus has shifted towards LlamaParse, an enterprise platform When you need a tool that is actively developed and maintained as the primary focus of the company has shifted towards LlamaParse and LiteParse, and the OSS framework is now a secondary focus
- Is autogen or llama_index more popular on GitHub?
- autogen has more GitHub stars (61,036 vs 52,207). Stars measure visibility, not whether either tool fits your constraints.
- Are autogen and llama_index open source?
- Yes - both are open-source projects on GitHub (autogen: CC-BY-4.0, llama_index: MIT).
- Where can I find alternatives to autogen or llama_index?
- GraphCanon lists graph-backed alternatives at autogen alternatives and llama_index alternatives (autogen markdown twin, llama_index 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_index?
- autogen: Slowing. llama_index: 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 autogen and llama_index?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: autogen trust report; llama_index trust report.