LLM orchestration framework. ThoughtWorks Radar: Adopt. 95K GitHub stars, 2.1M weekly downloads.
Metrics
GitHub Stars
95K
GitHub repository popularity
Radar Status
adopt
ThoughtWorks Technology Radar assessment
Framework Type
orchestration
Primary framework purpose
Weekly Downloads
2.1M
Package manager install frequency
Score Breakdown
adoption
30%95
Community size, growth velocity, and industry usage
ecosystem
25%87
Integrations, plugins, and extension availability
performance
30%82
Execution speed, latency, and resource efficiency
Compatibility(1)
Sources(1)
Related Signals(5)
Critical Vulnerability in LangChain Prompt Injection
FrameworksDec 20
92A critical prompt injection vulnerability (CVE-2025-12345) has been discovered in LangChain versions prior to 0.2.0, affecting chain-of-thought and agent implementations.
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84Google has announced TensorFlow 2.x will enter maintenance mode in Q2 2026, with new development focused on JAX and TensorFlow 3.0 architecture.
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LangGraph Reaches Production Maturity
FrameworksDec 1
86LangGraph has matured into a production-ready framework for complex agent orchestration, with ThoughtWorks recommending 'Adopt' status in their Technology Radar.
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Agentic AI Frameworks Emerge: FastMCP, LiteLLM, and Pydantic AI
FrameworksNov 1
85New agent-focused frameworks are gaining traction: FastMCP simplifies MCP server implementation, LiteLLM provides unified multi-provider access, and Pydantic AI offers type-safe agent development. Model Context Protocol (MCP) is becoming the standard for LLM context and tooling.
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