Comparison
autogen vs raft
Verdict
Pick autogen when autogen is primarily Python; raft is Cuda; pick raft when raft is primarily Cuda; autogen is Python.
Markdown twin · autogen alternatives · raft alternatives
GraphCanon updated today
Trust & integrity
| Signal | autogen | raft |
|---|---|---|
| Maintenance | Steady (87d 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
- autogen
- A programming framework for agentic AI
- raft
- RAFT contains fundamental widely-used algorithms and primitives for machine learning and information retrieval. The algorithms are CUDA-accelerated and form building blocks for more easily writing hig
Stars
- autogen
- 60k
- raft
- 1.0k
Forks
- autogen
- 9.0k
- raft
- 240
Open issues
- autogen
- 945
- raft
- 448
Language
- autogen
- Python
- raft
- Cuda
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.
- raft
- -
Persona
- autogen
- -
- raft
- -
Runtime
- autogen
- -
- raft
- -
License
- autogen
- CC-BY-4.0
- raft
- Apache-2.0
Last pushed
- autogen
- Apr 15, 2026
- raft
- Jul 11, 2026
Categories
- autogen
- AI Agents, LLM Frameworks
- raft
- Vector Databases, LLM Frameworks, Data & Retrieval
Trust and health
Maintenance
- autogen
- Steady (60%)
- raft
- Very active (96%)
Days since push
- autogen
- 87d
- raft
- 0d
Open issues (now)
- autogen
- 945
- raft
- 448
Full report
- autogen
- Trust report
- raft
- Trust report
Choose autogen if…
- autogen is primarily Python; raft is Cuda.
- License: autogen is CC-BY-4.0, raft is Apache-2.0.
- 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 raft if…
- raft is primarily Cuda; autogen is Python.
- License: raft is Apache-2.0, autogen is CC-BY-4.0.
- Tags unique to raft: clustering, anns, gpu, building-blocks.
- Also covers Vector Databases, Data & Retrieval.
When NOT to use raft
- Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate.
- LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
- Data & Retrieval: Skip a heavy ingestion framework when your corpus is small and static; a script plus the embedding API is enough.
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 (NVIDIA/raft) · observed Jul 11, 2026
- GitHub forks (NVIDIA/raft) · observed Jul 11, 2026
- Last push (NVIDIA/raft) · observed Jul 11, 2026
- License file (Apache-2.0) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: autogen 60k · raft 1.0k (synced Jul 11, 2026).
Common questions
- What is the difference between autogen and raft?
- autogen: A programming framework for agentic AI. raft: RAFT contains fundamental widely-used algorithms and primitives for machine learning and information retrieval. The algorithms are CUDA-accelerated and form building blocks for more easily writing hig. See the comparison table for live GitHub stats and shared categories.
- When should I choose autogen over raft?
- Choose autogen over raft when autogen is primarily Python; raft is Cuda; License: autogen is CC-BY-4.0, raft is Apache-2.0; 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 raft over autogen?
- Choose raft over autogen when raft is primarily Cuda; autogen is Python; License: raft is Apache-2.0, autogen is CC-BY-4.0; Tags unique to raft: clustering, anns, gpu, building-blocks; Also covers Vector Databases, Data & Retrieval.
- 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 raft?
- Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. Data & Retrieval: Skip a heavy ingestion framework when your corpus is small and static; a script plus the embedding API is enough.
- Is autogen or raft more popular on GitHub?
- autogen has more GitHub stars (59,658 vs 1,026). Stars measure visibility, not whether either tool fits your constraints.
- Are autogen and raft open source?
- Yes - both are open-source projects on GitHub (autogen: CC-BY-4.0, raft: Apache-2.0).
- Where can I find alternatives to autogen or raft?
- GraphCanon lists graph-backed alternatives at autogen alternatives and raft alternatives (autogen markdown twin, raft 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 raft?
- autogen: Steady. raft: 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 raft?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: autogen trust report; raft trust report.