Popular - Agent Frameworks
Agent Frameworks
- Known for memory-centric agent design.
- Built for stateful and persistent agents.
- Popular in long-context agent discussions.
- Strong differentiated framework positioning.
- Fast-rising open-source agent framework.
- Focuses on practical multi-agent workflows.
- Popular with Python developer teams.
- Strong traction in modern agent stacks.
- Microsoft-backed open-source agent framework.
- Strong enterprise and developer adoption.
- Known for orchestration and tool integration.
- Popular in production agent architecture.
- Framework for autonomous, resilient, observable AI agents on Dapr
- Built-in workflow orchestration, security, statefulness, telemetry
- CNCF/Dapr ecosystem; Kubernetes-native, production-grade
- AWS Labs open-source multi-agent orchestration framework
- Intent classification, context management, SupervisorAgent for team coordination
- Python and TypeScript; streaming and non-streaming responses
- Microsoft's framework for building and deploying AI agents and multi-agent workflows
- Python and .NET support; production orchestration and deployment
- Complements AutoGen; enterprise-grade agent infrastructure
- Type-safe Python framework for AI agents and LLM apps
- 15k+ GitHub stars; model-agnostic (OpenAI, Anthropic, Gemini, Bedrock)
- MCP, agent-to-agent, durable execution, Pydantic Logfire observability
- Routinely cited with LangChain, CrewAI, LangGraph in framework comparisons
- Self-hosted open-source AI agent gateway; 100K+ GitHub stars
- Connects messaging apps (WhatsApp, Telegram, Discord, iMessage, Slack) to AI agents
- Viral growth; ~2M visitors in one week; 1.5M registered agents on Moltbook
- Multi-channel, persistent memory, real actions. MIT licensed.
- $25M Series A (2025) led by Lightspeed; ~$29M total funding
- AI agent integrations; 850+ toolkits; MCP and API connectors
- Stanford University's prompt optimization framework
- 31.8k+ GitHub stars, open-source project
- Automatically optimizes prompts and model weights
- Outperforms standard prompting by 25-65%
- Open-source framework for building AI agents
- Used by Rakuten, GitLab, Elastic, Klarna, Cisco, The Home Depot
- Graph-based architecture for complex agent workflows
- Production-ready agent deployment platform
- Google DeepMind's agentic AI research project
- Revolutionary web automation technology
- Demonstrates advanced agent capabilities
- Represents cutting-edge AI research
- Leading multi-agent platform
- Used by 60% of Fortune 500 companies
- Secured $18M in funding
- 10M+ agents executed monthly
- Leading data framework.
- Powers agent applications.
- Robust retrieval capabilities.
- Trusted by AI developers.
- Leading database integration platform
- Over 16,000 GitHub stars
- Powers machine learning in databases
- Strong developer community adoption
- Leading agent development platform
- Powers enterprise agent solutions
- Advanced agent orchestration tools
- Sets standards in agent deployment
- Leading agent development framework
- Powers thousands of AI applications
- Extensive developer ecosystem
- Industry standard for LLM chains
- Leading open-source agent framework.
- Powers multi-agent AI systems.
- Backed by Microsoft Research.
- Widely adopted in enterprise.
- Pioneer in AI agents.
- Advanced action models.
- Leading research team.
- Sets standards in AI agents.