PullRepo

Daily radar for the fastest-growing AI tools & repos

Today's AI Frameworks & SDKs: Fastest-Growing Projects — May 14, 2026

Today's AI Frameworks & SDKs, we see a continued surge of interest in automation and trading solutions, as well as innovative approaches to managing AI skills and resources efficiently. The most notable trend is the growth of repositories that cater to specific use cases such as automated fishing and trading bots, indicating a strong demand for specialized tools tailored to user needs.

TheRunicDev/MaaNTE is an automation assistant designed for Neverness to Everness (NTE), offering features like auto-fishing, selling fish, buying bait, making coffee, and more. With a growth score of 77.00 and accumulating over 296 stars, it appears to be growing due to its comprehensive set of automated functionalities tailored specifically for NTE players.

TitanFlow-Systems/best-of-algorithmic-trading is a repository that aggregates information on algorithmic trading tools, frameworks, APIs, and libraries across various platforms. With a growth score of 62.67 and 273 stars, its popularity likely stems from the extensive coverage it provides for developers interested in quantitative finance and cryptocurrency trading.

1bananachicken/MaaNTE is another automation assistant for NTE, but this version has seen an impressive rise with 1,243 stars and a growth score of 61.03. The high engagement suggests that users value the extensive features it offers, which include Git-aware updates and synchronization capabilities.

wanghuan9/skill-manager introduces SkillDock, a desktop control center for managing AI skills and MCP servers, supporting seamless integration with tools like Claude Code and GitHub Copilot. With a growth score of 51.50 and 43 stars, its growing popularity could be attributed to the ease it provides in updating and synchronizing various AI-related services.

noonghunna/club-3090 is a repository that offers community recipes for serving large language models (LLMs) on RTX 3090 GPUs. It supports multiple engines like vLLM, llama.cpp, and SGLang, with configurations available for Qwen3.6-27B models. The growth score of 50.31 and 869 stars indicate that it is gaining traction due to its multi-engine support and model-agnostic approach.

HKUDS-AI/polymarket-ai-trading provides an AI-assisted paper trading solution for Polymarket, integrating various tools like OpenAI market insight and vector search. With a growth score of 46.88 and 139 stars, it likely appeals to users seeking advanced analytics and automation in their trading strategies.

warpdot-dev/craft-agents-oss is an open-source project that aims to provide a desktop AI solution, leveraging technologies such as electron, claude-agent-sdk, and bun websocket for thin-client multi-llm operations. The growth score of 38.62 and 218 stars suggest that it resonates with developers looking for alternatives to proprietary solutions like GitHub Copilot.

alash3al/stash is a persistent memory layer designed for AI agents, storing episodes, facts, and working context in Postgres. With a growth score of 34.05 and 690 stars, its popularity may be due to the self-hosted nature and ease of deployment without requiring cloud services.

oritera/Cairn is a general-purpose state-space search engine validated through autonomous penetration testing. The growth score of 30.44 and 901 stars indicate that it is gaining traction for its broad applicability in solving complex state-space problems, particularly in cybersecurity contexts.

iFurySt/open-codex-computer-use presents an open-source alternative to Codex Computer Use, aiming to provide similar functionalities but with greater openness and customization. With a growth score of 29.70 and 752 stars, its growing popularity likely stems from the desire for more flexible and customizable solutions in AI-driven computing environments.

These tools reflect a diverse array of applications within the AI ecosystem, ranging from automation to trading and state-space search, indicating a vibrant community actively contributing to various facets of AI development.
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