Comparison
autogen vs llama_index
Verdict
Pick autogen if 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; pick llama_index if llamaIndex is a Python-based framework enabling the creation of agentic applications with functionalities like OCR, data indexing, and more. The project promotes flexibility via numerous integrations available on LlamaH.
Markdown twin · autogen alternatives · llama_index alternatives
GraphCanon updated 1w
vs
Trust & integrity
| Signal | autogen | llama_index |
|---|---|---|
| Maintenance | Slowing (107d since push) As of 2w · github_public_v1 | Very active (0d since push) As of 1w · github_public_v1 |
| Provenance | Not a fork · Organization account As of 2w · github_public_v1 | Not a fork · Organization account As of 1w · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of 1mo · osv@v1 | No lockfile (source not queried) As of 1mo · 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
- Leading document agent and OCR platform
Stars
- autogen
- 60k
- llama_index
- 51k
Forks
- autogen
- 9.1k
- llama_index
- 7.9k
Open issues
- autogen
- 970
- llama_index
- 615
Language
- autogen
- Python
- llama_index
- Python
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_index
- LlamaIndex is a Python-based framework enabling the creation of agentic applications with functionalities like OCR, data indexing, and more. The project promotes flexibility via numerous integrations available on LlamaH
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
- Aug 6, 2026
Categories
- autogen
- AI Agents, LLM Frameworks
- llama_index
- AI Agents, Data & Retrieval
Trust and health
Maintenance
- autogen
- Slowing (36%)
- llama_index
- Very active (96%)
Days since push
- autogen
- 107d
- llama_index
- 0d
Open issues (now)
- autogen
- 970
- llama_index
- 615
Stars delta
- autogen
- Unknown
- llama_index
- +719 (30d)
Open issues delta
- autogen
- Unknown
- llama_index
- +121 (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: 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..
- 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-agi, ai, autogen, autogen-ecosystem.
- Also covers LLM Frameworks.
- 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_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, framework.
- Also covers Data & Retrieval.
- - When you need to work with document agents or require advanced OCR capabilities involving multiple formats.
When NOT to use llama_index
- - Avoid using if your primary need is a simple, lightweight solution that doesn't require the extensive OCR or agentic capabilities provided by LlamaIndex.
- - If specific features like 'Parse', 'Extract', and 'Index' are not necessary for your project, simpler alternatives might be more suitable.
- - In scenarios where customization beyond integrating existing plugins isn't required; LlamaIndex's strength lies in its integration library, which may not cover all niche needs without modification.
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 Aug 1, 2026
- GitHub forks (microsoft/autogen) · observed Aug 1, 2026
- Last push (microsoft/autogen) · observed Apr 15, 2026
- License file (CC-BY-4.0) · observed Aug 1, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (run-llama/llama_index) · observed Aug 7, 2026
- GitHub forks (run-llama/llama_index) · observed Aug 7, 2026
- Last push (run-llama/llama_index) · observed Aug 6, 2026
- License file (MIT) · observed Aug 7, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: autogen 60k · llama_index 51k (synced Aug 1, 2026).
Common questions
- What is the difference between autogen and llama_index?
- autogen: A programming framework for agentic AI. llama_index: Leading document agent and OCR platform. 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: 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.; 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-agi, ai, autogen, autogen-ecosystem; Also covers LLM Frameworks; You need a framework that supports integration with multiple AI models via OpenAI's chat completion client.
- 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, framework; Also covers Data & Retrieval; - When you need to work with document agents or require advanced OCR capabilities involving multiple formats.
- 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_index?
- - Avoid using if your primary need is a simple, lightweight solution that doesn't require the extensive OCR or agentic capabilities provided by LlamaIndex. - If specific features like 'Parse', 'Extract', and 'Index' are not necessary for your project, simpler alternatives might be more suitable. - In scenarios where customization beyond integrating existing plugins isn't required; LlamaIndex's strength lies in its integration library, which may not cover all niche needs without modification.
- Is autogen or llama_index more popular on GitHub?
- autogen has more GitHub stars (60,139 vs 51,442). 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.