Modular AWS agent platform combining guided Bedrock Agents with framework-agnostic AgentCore deployment.
AI Agent Frameworks
Managed cloud agent platforms and open source agent frameworks.
Compare cloud-native agent platforms with open-source frameworks on governance posture, deployment surface, and license risk — full details on each tool's page.
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Cloud vendor tools
Cloud-native agent offerings are grouped near the top of the page, with the vendor comparison directly below the vendor tool cards in the same section.
Databricks Mosaic AI Agent Framework
Databricks
Databricks-native agent stack combining managed tools, MCP connectivity, retrieval, and MLflow-backed evaluation.
Open platform pairing the Agent Development Kit with managed agent services on Vertex AI.
Microsoft Foundry Agent Service
Microsoft
Fully managed agent platform with deep Microsoft 365 integration and broad model access.
| Attribute | Microsoft Foundry Agent Service | Amazon Bedrock Agents + AgentCore | Google Agent Builder + ADK |
|---|---|---|---|
| Description | Fully managed agent platform with deep M365 integration | Modular: Agents (guided) + AgentCore (framework-agnostic) | Open ADK + managed Agent Engine |
| SDK Languages | Python, C#, JS/TS, Java | Python (primary), all AWS SDKs | Python, Java, Go, TypeScript |
| Model Catalog | 11,000+ models | 100+ foundation models | 200+ via Model Garden |
| Pricing | Free platform; pay for tokens + tools | Pay-per-use (vCPU/sec, Gateway, Memory) | Pay-per-use (vCPU-hr, GiB-hr) |
| Free Credits | $200 Azure | $200 AWS | $300 GCP + Express Mode |
| Protocols | MCP, A2A, OpenAPI | MCP, A2A | MCP, A2A, OpenAPI |
| Differentiator | One-click M365/Teams deploy; 1,400+ connectors | Max framework agnosticism; microVM isolation | Open-source ADK (7M+ downloads); Search grounding |
| Best for | Microsoft-heavy enterprises | AWS-heavy enterprises wanting framework choice | Google-heavy or open-source-first teams |
Filtered open source and third-party tools
10 matching non-vendor tools in this filtered view.
Atomic Agents
BrainBlend AI
Minimalist agent framework emphasizing composability and predictable building blocks.
AutoGen
Microsoft
Multi-agent framework from Microsoft now in maintenance mode after Agent Framework consolidation.
BeeAI Framework
Linux Foundation
Open agent framework formerly known as Bee Agent Framework, now under Linux Foundation governance.
CrewAI
crewAI Inc.
Open source multi-agent framework focused on autonomous teams and task coordination.
LangGraph
LangChain
Stateful agent orchestration framework with graph-based execution and durable workflows.
LlamaIndex
LlamaIndex Inc.
Agent and retrieval framework with strong indexing, data connectors, and orchestration support.
Mastra
Mastra AI
Agent framework focused on composable workflows, tooling, and modern developer ergonomics.
Microsoft Agent Framework
Microsoft
Microsoft's new multi-language agent framework for building, orchestrating, and deploying agent workflows.
OpenAI Agents SDK
OpenAI
Production successor to Swarm for agentic OpenAI workflows with broader model support.
Semantic Kernel
Microsoft
Microsoft orchestration SDK evolving into the unified Microsoft Agent Framework direction.
Important notes
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Recent updates
See auto-detected changesOpenAI Agents SDK 0.18.2 added GPT-5.6 request controls and hosted multi-agent beta support, plus sandbox and usage fixes.
SourceLangGraph 1.2.9 fixed updateState metadata and counters for delta channels.
SourceLangGraph CLI 0.4.31 allowed langgraph-api versions up to 1.0.0 and updated CLI dependencies.
SourceMicrosoft Agent Framework Python 1.11.0 added message injection middleware for enqueuing messages into active runs.
SourceAtomic Agents 2.9.0 added pluggable chat history via BaseChatHistory for custom or persistent memory backends.
SourcePopular comparisons in this category
Read these tools next to one another across every tracked governance dimension.
Side-by-side comparison of the Microsoft and AWS managed agent platforms — governance posture, deployment surface, certifications, and license risk.
Side-by-side comparison of the Microsoft Foundry agent stack and the Gemini Enterprise Agent Builder / ADK pairing across governance dimensions.
Side-by-side comparison of the AWS Bedrock Agents stack and the Gemini Enterprise Agent Builder / ADK pairing.
Open-source agent frameworks side-by-side — deployment model, license risk, governance posture, and certifications.
Three of the most-evaluated open-source agent orchestration frameworks compared on governance dimensions and license posture.
Frequently asked questions
What counts as an AI agent framework in this tracker?
Toolkits and managed platforms that orchestrate LLM-driven agents — tool calling, planning, memory, and multi-step execution. The hub covers cloud-native agent services (Foundry Agent Service, Bedrock AgentCore, Agent Builder) and open-source frameworks (LangGraph, Semantic Kernel, AutoGen, CrewAI, ADK).
Which agent frameworks support on-premises deployment?
Open-source frameworks (LangGraph, Semantic Kernel, AutoGen, CrewAI, Agno) can run anywhere the host runtime is supported. Cloud-native agent services are SaaS-only unless explicitly noted on the per-tool page.
How is license risk evaluated for agent frameworks?
Every per-tool page records the exact license label and an explicit license-risk level (low / medium / high). Source-available or restrictive clauses (Commons Clause, BSL, SSPL, Elastic License) are flagged in plain language on the tool page.
Explore adjacent hubs
Compare the active category against the platform foundation layer, the cross-category updates feed, and the sourcing/contribution guide.
Review Microsoft Foundry, Amazon Bedrock, and Gemini Enterprise Agent Platform as the foundation layer behind this category.
Check the market-intelligence feed for high-impact moves, plus the expandable full log for releases, deprecations, acquisitions, and other notable changes.
See sourcing standards, contribution rules, and project scope before adding or updating tracked tools.