Comparison
autogen vs ReNeLLM
Verdict
Pick autogen when license: autogen is CC-BY-4.0, ReNeLLM is MIT; pick ReNeLLM when license: ReNeLLM is MIT, autogen is CC-BY-4.0.
Markdown twin · autogen alternatives · ReNeLLM alternatives
GraphCanon updated today
Trust & integrity
| Signal | autogen | ReNeLLM |
|---|---|---|
| Maintenance | Steady (87d since push) As of today · github_public_v1 | Slowing (312d 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 1d · none | 73 low (73 low) As of today · osv@v1 |
Tagline
- autogen
- A programming framework for agentic AI
- ReNeLLM
- The official implementation of our NAACL 2024 paper "A Wolf in Sheep’s Clothing: Generalized Nested Jailbreak Prompts can Fool Large Language Models Easily".
Stars
- autogen
- 60k
- ReNeLLM
- 163
Forks
- autogen
- 9.0k
- ReNeLLM
- 17
Open issues
- autogen
- 945
- ReNeLLM
- 0
Language
- autogen
- Python
- ReNeLLM
- 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.
- ReNeLLM
- -
Persona
- autogen
- -
- ReNeLLM
- -
Runtime
- autogen
- -
- ReNeLLM
- -
License
- autogen
- CC-BY-4.0
- ReNeLLM
- MIT
Last pushed
- autogen
- Apr 15, 2026
- ReNeLLM
- Sep 2, 2025
Categories
- autogen
- AI Agents, LLM Frameworks
- ReNeLLM
- LLM Frameworks, Speech & Audio, Vector Databases
Trust and health
Maintenance
- autogen
- Steady (60%)
- ReNeLLM
- Slowing (36%)
Days since push
- autogen
- 87d
- ReNeLLM
- 312d
Open issues (now)
- autogen
- 945
- ReNeLLM
- 0
Security scan
- autogen
- No lockfile
- ReNeLLM
- 73 low (73 low)
Full report
- autogen
- Trust report
- ReNeLLM
- Trust report
Shared compatibility
- Python · autogen: Python runtime · ReNeLLM: Python runtime
Choose autogen if…
- License: autogen is CC-BY-4.0, ReNeLLM 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: agentic-agi, agents, ai, autogen.
- 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 ReNeLLM if…
- License: ReNeLLM is MIT, autogen is CC-BY-4.0.
- Tags unique to ReNeLLM: python.
- Also covers Speech & Audio, Vector Databases.
When NOT to use ReNeLLM
- Last GitHub push was 313 days ago (slowing maintenance, Sep 2, 2025). Validate activity before betting a new project on ReNeLLM.
- LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
- Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate.
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 (NJUNLP/ReNeLLM) · observed Jul 11, 2026
- GitHub forks (NJUNLP/ReNeLLM) · observed Jul 11, 2026
- Last push (NJUNLP/ReNeLLM) · observed Sep 2, 2025
- License file (MIT) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: autogen 60k · ReNeLLM 163 (synced Jul 11, 2026).
Common questions
- What is the difference between autogen and ReNeLLM?
- autogen: A programming framework for agentic AI. ReNeLLM: The official implementation of our NAACL 2024 paper "A Wolf in Sheep’s Clothing: Generalized Nested Jailbreak Prompts can Fool Large Language Models Easily".. See the comparison table for live GitHub stats and shared categories.
- When should I choose autogen over ReNeLLM?
- Choose autogen over ReNeLLM when License: autogen is CC-BY-4.0, ReNeLLM 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: agentic-agi, agents, ai, autogen; 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 ReNeLLM over autogen?
- Choose ReNeLLM over autogen when License: ReNeLLM is MIT, autogen is CC-BY-4.0; Tags unique to ReNeLLM: python; Also covers Speech & Audio, Vector Databases.
- 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 ReNeLLM?
- Last GitHub push was 313 days ago (slowing maintenance, Sep 2, 2025). Validate activity before betting a new project on ReNeLLM. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate.
- Is autogen or ReNeLLM more popular on GitHub?
- autogen has more GitHub stars (59,658 vs 163). Stars measure visibility, not whether either tool fits your constraints.
- Are autogen and ReNeLLM open source?
- Yes - both are open-source projects on GitHub (autogen: CC-BY-4.0, ReNeLLM: MIT).
- Where can I find alternatives to autogen or ReNeLLM?
- GraphCanon lists graph-backed alternatives at autogen alternatives and ReNeLLM alternatives (autogen markdown twin, ReNeLLM 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 ReNeLLM?
- autogen: Steady. ReNeLLM: Slowing. 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 ReNeLLM?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: autogen trust report; ReNeLLM trust report.