AutoGen
Framework for building single and multi-agent AI applications with support for multiple LLM providers and distributed execution
- Vendor
- Microsoft
- Also known as
- autogen
What is AutoGen?
A layered, extensible framework for creating autonomous or collaborative multi-agent AI systems. Provides three levels of abstraction (Studio for no-code prototyping, AgentChat for rapid Python development, and Core for advanced event-driven architectures) with support for tool calling, streaming, state persistence, and distributed agents.
AutoGen pricing
We don't have AutoGen's full plan breakdown yet (its pricing page resisted automated reading). Here's what we could confirm. Always check live pricing for exact numbers.
Free, open-source framework
What AutoGen does
The capabilities that matter for mlops & llmops tools, normalised so it lines up with every alternative. “-” means we haven't confirmed it, not that it's missing.
- Tool role
- Agent / RAG framework
- Self-hostable / OSS core
- ✓
- Managed cloud available
- ✗
- On-prem / VPC deployment
- ✓
- LLM tracing / observability
- ✓
- Evaluation (offline / LLM-judge / human)
- ✗
- Prompt management + versioning
- ✗
- Experiment tracking / model registry
- ✗
- Model serving / inference endpoint
- ✗
- OpenTelemetry / OpenLLMetry compatible
- ✓
- Framework-agnostic
- ✓
- Multi-provider model support
- ✓
- No-train-on-customer-data guarantee
- Yes
Platform & deployment
Independently observed- CLI
- Web
- Self-hosted
Integrations (12)
Independently observed- Azure OpenAI•
- Llama•
- Model-Context Protocol•
- Docker•
- OpenAI
- Anthropic
- Azure AI
- Bedrock
- Ollama
- AzureOpenAI
- DuckDuckGo Search
- Model Context Protocol (MCP)
Security & compliance
Known vulnerabilities: 0 (0 in the last 12 months) sourcea count reflects scale & disclosure, not quality
AutoGen FAQ
Common questions about AutoGen, answered from independent, dated evidence.
What is AutoGen?
A programming framework that enables developers to create autonomous agents and multi-agent systems using AI. It supports orchestration, tool use, and integration with various language model providers. It is indexed under MLOps & LLMOps Tools.
Is AutoGen free to use?
AutoGen is open source, so it can be self-hosted and used at no licence cost. It is released under the CC-BY-4.0 licence. Pricing changes often, so verify at source before relying on it.
Can AutoGen be self-hosted?
Yes. AutoGen can be deployed self-hosted, so it does not have to run on the vendor's infrastructure.
What does AutoGen integrate with?
We have confirmed 7 integrations for AutoGen, including OpenAI, Anthropic, Azure AI, Bedrock, Ollama, DuckDuckGo Search and Model Context Protocol (MCP). This is what we could verify from public sources, so the vendor may support others we have not indexed.
Is AutoGen open source?
Yes. AutoGen is published under the CC-BY-4.0 licence, a copyleft licence, so check its terms before embedding it in a closed-source product. Licence terms can change between releases, so verify against the repository for the version you intend to use.
AutoGen alternatives
Other mlops & llmops tools we track, ranked by the same independent score.
- PortkeyAn API gateway for routing requests across thousands of language models with built-in safety guardrailshigh · 76%
- LangChainA platform for building, testing, and operating AI agents at scalemedium · 70%
- BasetenAn inference platform for deploying and running AI models at scalemedium · 73%
- Together AICloud platform for deploying and running open-source AI models with optimized inferencemedium · 61%
- OllamaA platform for running open-source language models locally or in the cloud with cost-effective access.medium · 57%
- RayDistributed computing infrastructure for scaling machine learning applicationsmedium · 65%
Compare AutoGen
Side by side against other mlops & llmops tools, attribute by attribute, with a source on every value.
The vioscaleAI score: one lens on the evidence
Not user reviews and not a paid placement: a confidence-weighted blend of the independent signals below (adoption, activity, security posture, and more), which you can sort and re-weight yourself. Vendors can correct their listing but can never move their rank, and stars are weighted low as a vanity metric. It is one way to read the evidence for AutoGen, not the verdict.
| Signal | Score | Weight | Contribution | Evidence |
|---|---|---|---|---|
| Capabilities | 100 | 0.09 | 9.2 | ✓ |
| Package downloads | 66 | 0.14 | 9.0 | ✓ |
| Pricing transparency | 80 | 0.08 | 6.7 | ✓ |
| Release cadence | 96 | 0.05 | 5.0 | ✓ |
| Price level | 80 | 0.05 | 4.2 | ✓ |
| Reliability | 50 | 0.06 | 3.2 | ✓ |
| Integrations | 29 | 0.09 | 2.7 | ✓ |
| Security score | 56 | 0.04 | 2.4 | ✓ |
| Stars | 90 | 0.03 | 2.3 | ✓ |
| Dependent projects | 0 | 0.06 | 0.0 | ✓ |
| Development activity | 0 | 0.09 | 0.0 | - |
| Security posture | 0 | 0.06 | 0.0 | - |
| Developer Q&A activity | 0 | 0.06 | 0.0 | - |
Computed . Re-weight it by intent, or see the full method.
All data & sourcesshow ↓
Every value we hold, with its source, retrieval date, and confidence. This is the evidence behind the score: don't trust it, verify it.
Adoption
Content
| Attribute | Value | Evidence |
|---|---|---|
| Faq | 5 items | mediumsource · 2026-09-10 · 67% |
Features
| Attribute | Value | Evidence |
|---|---|---|
| Capabilities | Role: framework · Evaluation: No · Managed cloud: No · Model serving: No · Pricing model: free_open_source · Self hostable: Yes | mediumsource · 2026-09-11 · 60% |
Integrations
| Attribute | Value | Evidence |
|---|---|---|
| Count | 9 | mediumsource · 2026-09-11 · 60% |
Language
| Attribute | Value | Evidence |
|---|---|---|
| Primary | Python | highsource · 2026-09-11 · 90% |
License
| Attribute | Value | Evidence |
|---|---|---|
| Spdx | CC-BY-4.0 | highsource · 2026-09-11 · 95% |
Pricing
Release
Reliability
| Attribute | Value | Evidence |
|---|---|---|
| Status page | Yes | mediumsource · 2026-08-03 · 60% |
Security
Is AutoGen the right choice for you?
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