Today's AI Frameworks & SDKs: Fastest-Growing Projects — April 18, 2026
Today's AI Frameworks & SDKs, we're seeing a surge in tools that enable decentralized AI infrastructure and provide innovative solutions for agent instance management. The trend is shifting towards creating more accessible and efficient frameworks that can handle complex AI workloads. As a result, repositories with high growth scores are those that offer unique approaches to solving these challenges.
jxnxts/mcp-brasil has taken the top spot with a remarkable Growth Score of 54.96 and 1,385 stars. This MCP server provides access to 41 public Brazilian APIs, making it an essential tool for developers working with local data. Its high growth rate can be attributed to its utility in streamlining API interactions and providing a centralized hub for data management.
Agent-FM/agentfm-core follows closely with a Growth Score of 40.14 and 40 stars. AgentFM is a peer-to-peer network that enables users to run massive AI workloads directly across a global mesh of idle CPUs and GPUs. Its growth can be attributed to its innovative approach to decentralized computing, making it an attractive solution for those looking to harness collective computational power.
yogthos/chiasmus boasts a Growth Score of 29.23 and 61 stars. Chiasmus is an MCP server that grants language models access to formal verification, providing a unique intersection of AI and mathematical rigor. Its growth rate suggests that developers are increasingly interested in exploring the potential of formal methods in AI development.
416rehman/DeepZero has gained significant traction with a Growth Score of 24.73 and 91 stars. DeepZero is an automated vulnerability research framework that leverages AI agents to analyze Windows kernel drivers for exploitable IOCTLs. Its growth can be attributed to its innovative approach to vulnerability detection, making it a valuable tool for cybersecurity professionals.
Yuan-lab-LLM/ClawManager has secured a Growth Score of 24.52 and 576 stars. ClawManager is a Kubernetes-native control plane for AI agent instance management, providing governed AI access and reusable resources across multiple agent runtimes. Its high growth rate indicates that developers are looking for more efficient ways to manage complex AI workflows.
codefromkarl/ContextAtlas has a Growth Score of 20.93 and 25 stars. ContextAtlas provides context infrastructure for AI coding agents, including hybrid retrieval, project memory, and retrieval observability via CLI or embeddable library. Its growth rate suggests that developers are seeking more effective ways to manage context in their AI projects.
Tencent-Hunyuan/HY-SOAR boasts a Growth Score of 20.50 and 64 stars. HY-SOAR is a self-correction method for optimal alignment and refinement in diffusion models, providing a valuable tool for those working with generative models. Its growth can be attributed to its innovative approach to improving model performance.
OpenEnvision/Awesome-Multimodal-Modeling has gained significant attention with a Growth Score of 20.41 and 250 stars. This repository provides an extensive collection of multimodal modeling resources, covering MLLM, UMM, and NMM. Its growth rate indicates that developers are increasingly interested in exploring the potential of multimodal models.
jnMetaCode/agency-orchestrator has secured a Growth Score of 19.61 and 333 stars. The agency-orchestrator is a multi-agent framework that works with existing AI subscriptions, providing a unique solution for those looking to integrate multiple agents into their workflows. Its growth rate suggests that developers are seeking more efficient ways to manage complex agent interactions.
rhino-acoustic/NeuronFS has gained traction with a Growth Score of 17.57 and 136 stars. NeuronFS is an OS-native constraint engine for LLM agents, providing a unique approach to managing infrastructure costs. Its growth rate indicates that developers are looking for innovative solutions to optimize their AI workflows.
jxnxts/mcp-brasil has taken the top spot with a remarkable Growth Score of 54.96 and 1,385 stars. This MCP server provides access to 41 public Brazilian APIs, making it an essential tool for developers working with local data. Its high growth rate can be attributed to its utility in streamlining API interactions and providing a centralized hub for data management.
Agent-FM/agentfm-core follows closely with a Growth Score of 40.14 and 40 stars. AgentFM is a peer-to-peer network that enables users to run massive AI workloads directly across a global mesh of idle CPUs and GPUs. Its growth can be attributed to its innovative approach to decentralized computing, making it an attractive solution for those looking to harness collective computational power.
yogthos/chiasmus boasts a Growth Score of 29.23 and 61 stars. Chiasmus is an MCP server that grants language models access to formal verification, providing a unique intersection of AI and mathematical rigor. Its growth rate suggests that developers are increasingly interested in exploring the potential of formal methods in AI development.
416rehman/DeepZero has gained significant traction with a Growth Score of 24.73 and 91 stars. DeepZero is an automated vulnerability research framework that leverages AI agents to analyze Windows kernel drivers for exploitable IOCTLs. Its growth can be attributed to its innovative approach to vulnerability detection, making it a valuable tool for cybersecurity professionals.
Yuan-lab-LLM/ClawManager has secured a Growth Score of 24.52 and 576 stars. ClawManager is a Kubernetes-native control plane for AI agent instance management, providing governed AI access and reusable resources across multiple agent runtimes. Its high growth rate indicates that developers are looking for more efficient ways to manage complex AI workflows.
codefromkarl/ContextAtlas has a Growth Score of 20.93 and 25 stars. ContextAtlas provides context infrastructure for AI coding agents, including hybrid retrieval, project memory, and retrieval observability via CLI or embeddable library. Its growth rate suggests that developers are seeking more effective ways to manage context in their AI projects.
Tencent-Hunyuan/HY-SOAR boasts a Growth Score of 20.50 and 64 stars. HY-SOAR is a self-correction method for optimal alignment and refinement in diffusion models, providing a valuable tool for those working with generative models. Its growth can be attributed to its innovative approach to improving model performance.
OpenEnvision/Awesome-Multimodal-Modeling has gained significant attention with a Growth Score of 20.41 and 250 stars. This repository provides an extensive collection of multimodal modeling resources, covering MLLM, UMM, and NMM. Its growth rate indicates that developers are increasingly interested in exploring the potential of multimodal models.
jnMetaCode/agency-orchestrator has secured a Growth Score of 19.61 and 333 stars. The agency-orchestrator is a multi-agent framework that works with existing AI subscriptions, providing a unique solution for those looking to integrate multiple agents into their workflows. Its growth rate suggests that developers are seeking more efficient ways to manage complex agent interactions.
rhino-acoustic/NeuronFS has gained traction with a Growth Score of 17.57 and 136 stars. NeuronFS is an OS-native constraint engine for LLM agents, providing a unique approach to managing infrastructure costs. Its growth rate indicates that developers are looking for innovative solutions to optimize their AI workflows.