AI Agent Frameworks Comparison

Comprehensive analysis of agent orchestration frameworks (September 2025)
Comprehensive Framework Comparison
Verified GitHub stars, specifications, and production capabilities
Framework GitHub Stars Daily Downloads Design Philosophy Key Features Key Indicator
LangGraph 18.5k ⭐ 307k/day Graph/state-machine runtime with nodes and edges Durable execution, branching, retries, human-in-the-loop, checkpoint/resume Production maturity
DSPy 27.5k ⭐ 15k/day Optimization-first "programming not prompting" Self-improving systems, modules + teleprompters, MLflow integration Academic leadership
AutoGen 49.2k ⭐ 12k/day GraphFlow DAG execution + event-driven async Cross-language (.NET/Python), concurrent agents, bounded execution Enterprise backing
CrewAI 37.9k ⭐ 45k/day Role/task orchestration with Crews + Flows Parallel workflows, memory sharing, hierarchical management Highest adoption
Agno 32.9k ⭐ 41k/day "AgentOS" runs in your cloud 10,000x faster instantiation (~2μs), 3.75KB memory, multimodal Performance leader
Mastra ~8k ⭐ 8.6k/day Durable workflow state machines (XState) Visual editor, serverless-ready, OpenTelemetry, suspend/resume TypeScript native
Parlant ~3k ⭐ 2k/day Behavior-control via guidelines Guaranteed guideline adherence, explainable decisions Compliance focus
Google ADK 9.6k ⭐ 37k/day Code-first agent development Gemini-optimized, bidirectional audio/video streaming, Vertex AI Google ecosystem
OpenAI Swarm Deprecated 20k ⭐ Archived Lightweight agent handoffs Stateless between calls, minimal overhead, replaced by Agents SDK Educational value
Performance & Reliability Metrics
Quantified benchmarks and production characteristics
Framework Performance Claims Reliability Features Production Adoption
LangGraph Low overhead, streaming execution Deterministic paths, failure isolation, state persistence Klarna, Replit, Elastic, Uber, LinkedIn, GitLab
DSPy Trade latency for quality via optimization Self-improving over time, MLflow observability Stanford Research, Academic institutions
AutoGen Async messaging reduces bottlenecks Graph validation, bounded execution Microsoft Research, Novo Nordisk
CrewAI 5.76x faster than LangGraph in QA Process options (sequential, parallel, hierarchical) 100,000+ certified developers
Agno 10,000x faster instantiation (~2μs) MCP support, session management AgentOS cloud deployments
Mastra Serverless-ready, OpenTelemetry Durable execution, automatic retries "Largest companies in the world"
Parlant Overhead in policy checking Guaranteed guideline adherence JPMorgan Chase, Revenued
Google ADK Native audio/video streaming Built-in eval system, A2A protocol Google Agentspace, Customer Suite
OpenAI Swarm Minimal overhead No built-in persistence Educational/prototype use only
Language & Platform Support
Programming languages and deployment options
Framework Primary Language Additional Languages Deployment Options
LangGraph Python JavaScript/TypeScript LangGraph Platform, self-hosted
DSPy Python - Any Python environment
AutoGen Python .NET (C#) Cross-platform
CrewAI Python - Cloud, on-premise
Agno Python - AgentOS in your cloud
Mastra TypeScript - Serverless, Node.js, Vercel
Parlant Python - Any Python environment
Google ADK PythonJava - Cloud Run, Vertex AI
OpenAI Swarm Python JavaScript (community) Client-side only
2025 Framework Selection Guide
Recommendations based on primary use cases and requirements
Key Selection Criteria: Consider your team's language expertise, performance requirements, and whether you need durable execution or compliance features. Start with simpler frameworks for prototyping, then migrate to production-grade solutions.
Primary Need Top Choice Alternative Rationale
Production reliability LangGraph Google ADK Mature state management, proven deployments
Maximum performance Agno - 10,000x faster instantiation, minimal memory
TypeScript ecosystem Mastra - Native TS with full type safety
Multi-agent teams CrewAI AutoGen Large community, proven patterns
Self-improving systems DSPy - Optimization-first design
Compliance/control Parlant - Guaranteed guideline adherence
Google Cloud integration Google ADK - Native Gemini and GCP services
Learning/prototyping CrewAI LangGraph Good documentation, active community
Cross-language support AutoGen Google ADK .NET + Python or Java + Python
Framework Download Statistics
Daily downloads from PyPI and NPM package registries (September 2025)
Data Sources: PyPI stats from pypistats.org for Python packages, NPM stats from npmjs.com for JavaScript/TypeScript packages. Daily downloads are more indicative of production usage than monthly totals.
Framework Daily Downloads Registry Accessed Source
LangChain 2,434,152 PyPI Sep 2, 2025 pypistats.org/packages/langchain
Vercel AI SDK 345,602 NPM Sep 2, 2025 npmjs.com/package/ai (2.4M weekly)
LangGraph 307,303 PyPI Sep 2, 2025 pypistats.org/packages/langgraph
OpenAI Agents SDK 57,057 PyPI Sep 2, 2025 pypistats.org/packages/openai
CrewAI 45,000 PyPI Sep 2, 2025 pypistats.org/packages/crewai
Agno 40,906 PyPI Sep 2, 2025 pypistats.org/packages/agno
Google ADK 36,943 PyPI Sep 2, 2025 pypistats.org/packages/google-adk
DSPy 15,000 PyPI Sep 2, 2025 pypistats.org/packages/dspy-ai
AutoGen 12,000 PyPI Sep 2, 2025 pypistats.org/packages/pyautogen
n8n 9,857 NPM Sep 2, 2025 npmjs.com/package/n8n (69k weekly)
Mastra 8,646 NPM Sep 2, 2025 npmjs.com/package/mastra (60k weekly)
LlamaIndex 4,983 PyPI Sep 2, 2025 pypistats.org/packages/llamaindex
Parlant 2,000 PyPI Sep 2, 2025 pypistats.org/packages/parlant