PullRepo

Daily radar for the fastest-growing AI tools & repos

Today's AI Frameworks & SDKs: Fastest-Growing Projects — August 29, 2026

Today's AI Frameworks & SDKs space saw a notable surge in repositories that cater to security and robotics sectors, alongside innovative tools for developers seeking efficient coding assistance through multi-provider AI gateways. The growth of these projects is indicative of the expanding use cases for AI within specialized domains such as cybersecurity and data processing pipelines.

Zyrexnn/Cybermes
Cybermes is an Autonomous Offensive Security framework that leverages Hermes Agent, specialized reasoning skills, and multi-model LLM orchestration to enhance bug bounty efforts and red teaming activities. With a growth score of 78.35 and over 600 stars, Cybermes has seen significant interest due to its comprehensive approach in integrating advanced AI capabilities for cybersecurity purposes.

hkqr/my-free-code
This open-source gateway provides access to Claude Code and other coding agents through model routing and streaming functionalities, making it easier for developers to integrate multiple AI models into their workflows. With a growth score of 73.50 and 105 stars, my-free-code is gaining traction as a versatile tool that simplifies the management of different coding assistants.

0xsline/awesome-deepseek-harness
DeepSeek Harness (DSH) offers an ecosystem of plugins, tools, and infrastructure designed for AI development and deployment. This repository has accumulated 932 stars and boasts a growth score of 71.14, reflecting its broad appeal to the developer community for enhancing AI projects with curated resources.

Hebbian-Robotics/hflow
hflow is an open-source SDK aimed at building multimodal data-quality pipelines tailored for robotics and physical AI applications. With a robust set of features including data processing and enrichment, hflow has garnered 178 stars and a growth score of 48.18, indicating its relevance in the growing field of AI-driven robotics.

Electricitysheep/dsh-handbook
Providing detailed guidance on DeepSeek Harness (DSH) through comprehensive documentation available both in Chinese and English, this handbook covers installation, plugin development, performance tuning, real-world case studies, and more. With 700 stars and a growth score of 43.62, the dsh-handbook stands out as an invaluable resource for developers looking to optimize their DSH projects.

vibeinging/dsh-desktop
The DeepSeek Harness Desktop App offers a local AI desktop workspace designed to streamline sessions, project management, file handling, web research, and plugin integration. With 633 stars and a growth score of 41.81, dsh-desktop is becoming popular for its ease-of-use in managing DSH environments locally.

myYangyunfan/dsh_desktop
This Windows desktop client bundles Node.js with the DeepSeek Harness CLI to provide a one-click launch solution, enhancing accessibility for users working on DSH projects. With 599 stars and a growth score of 40.19, dsh_desktop is proving beneficial for developers looking for an integrated setup experience.

tubban1/leadgen
Leadgen is an automated multi-tenant system designed to generate websites and cloud infrastructure using Next.js, OpenAI, Neon DB, Vercel, and GoDaddy APIs, simplifying the creation of web-based applications. With 35.62 growth score and 111 stars, leadgen demonstrates potential in automating complex setup processes for developers.

Flaminis/Dalaran
A robotics-first visualization and data infrastructure tool that supports multimodal time-series with ROS 2 native compatibility, Dalaran is a hard fork of Rerun. With 795 stars and a growth score of 34.30, it appeals to users seeking advanced data handling solutions in robotics applications.

mattn/tensai
Tensai is a neural-network framework written in pure Go with AVX2 SIMD kernels, optimized for performance on modern CPUs. With a growth score of 33.95 and 79 stars, tensai attracts attention from developers looking to build high-performance AI models without relying on external dependencies.

These tools collectively highlight the diversity and depth of innovation within the AI frameworks and SDKs space, catering to various needs across different industries.
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