📌 Spotted on GitHub Trending: DeusData/codebase-memory-mcp — let's break it down.

🔗 https://github.com/DeusData/codebase-memory-mcp
📝 High-performance code intelligence MCP server. Indexes codebases into a persistent knowledge graph — average repo in milliseconds. 158 languages, sub-ms queries, 99% fewer tokens. Single static binary, zero dependencies.
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The codebase-memory-mcp GitHub repository offers the fastest and most efficient code intelligence engine for AI coding agents, capable of full-indexing an average repository in milliseconds. This engine features high-quality parsing across 158 languages through tree-sitter AST analysis and Hybrid LSP semantic type resolution for languages like Python, TypeScript, and Java.

The repository provides 14 MCP tools, including search, trace, architecture, impact analysis, and dead code detection, and supports 11 coding agents with a single static binary. Key features include extreme indexing speed, plug-and-play installation, and built-in graph visualization.

The codebase-memory-mcp has been evaluated across 31 real-world repositories, demonstrating high answer quality and efficiency. It's designed with security and trust in mind, with every release binary signed, checksummed, and scanned by antivirus engines.

To get started, users can install the engine using a one-line command and access the graph visualization UI at localhost:9749. With its cutting-edge technology and user-friendly interface, codebase-memory-mcp is the ultimate tool for coding agents - supercharge your coding experience with the power of AI-driven code intelligence.

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🔍 Deep-diving into n0-computer/iroh — fresh off the trending list.

🔗 https://github.com/n0-computer/iroh
📝 IP addresses break, dial keys instead. Modular networking stack in Rust.
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Iroh is an open-source project that provides a unique approach to networking by allowing users to connect to each other using public keys. The project's main goal is to reduce the complexity of networking and make it more efficient.

At its core, iroh is built on top of the QUIC protocol, which provides features like authenticated encryption, concurrent streams, and datagram transport. The project also includes a relay system that helps establish connections between users, even if they are behind firewalls or NATs.

One of the key features of iroh is its ability to "hole-punch" - establishing a direct connection between two users, even if they are behind firewalls or NATs. If hole-punching is not possible, iroh falls back to using public relay servers.

Iroh is designed to be highly extensible, with a number of pre-existing protocols built on top of it, including iroh-blobs for content-addressed blob transfer and iroh-gossip for establishing publish-subscribe overlay networks.

To get started with iroh, users can install the Rust library using cargo add iroh and then use the library to establish connections to other users. The project also provides a number of examples and documentation to help users get started.

The iroh project is licensed under the Apache 2.0 and MIT licenses, and contributions are welcome.

Overall, iroh is a powerful and flexible networking platform that has the potential to revolutionize the way we think about networking - connect to anyone, anywhere, with just a public key.

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🚀 Meet Panniantong/Agent-Reach: a gem from today's GitHub trending list.

🔗 https://github.com/Panniantong/Agent-Reach
📝 Give your AI agent eyes to see the entire internet. Read & search Twitter, Reddit, YouTube, GitHub, Bilibili, XiaoHongShu — one CLI, zero API fees.
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Agent Reach 是一个让 AI Agent 拥有互联网能力的工具。它通过一键安装，让你的 AI Agent 可以读网页、搜索 Twitter、看 YouTube、刷小红书 等。

它的关键特点包括：
- 完全免费：所有工具开源，所有 API 免费
- 隐私安全：Cookie 只存在你本地，不上传不外传
- 持续换代：每个平台都是「首选 + 备选」多后端路由

使用方法非常简单：
- 安装：帮我安装 Agent Reach：https://raw.githubusercontent.com/Panniantong/agent-reach/main/docs/install.md
- 更新：帮我更新 Agent Reach：https://raw.githubusercontent.com/Panniantong/agent-reach/main/docs/update.md

支持的平台包括：
- 网页
- YouTube
- RSS
- 全网搜索
- GitHub
- Twitter
- B站
- Reddit
- 小红书
- LinkedIn

技术亮点是：
- 每个平台 = 首选 + 备选的有序后端列表
- agent-reach doctor 告诉你每个渠道的状态

适合的受众是：
- AI 爱好者
- 研发人员
- 互联网企业

一句话总结：Agent Reach 让你的 AI Agent 拥有互联网能力，简单、免费、安全。

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⚡ meshery/meshery is making waves. Here's the full picture.

🔗 https://github.com/meshery/meshery
📝 Meshery, the cloud native manager
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Meshery is a cloud native manager that enables the design and management of Kubernetes-based infrastructure and applications. It offers visual and collaborative GitOps, freeing you from YAML while managing multi-cluster deployments. Key features include infrastructure lifecycle management, multiple Kubernetes clusters and clouds, and visually managing infrastructure. Meshery provides a single pane of glass to manage multiple clusters and supports 380+ integrations. It's perfect for teams looking to collaborate on cloud native projects with features like Workspaces and Environments. With Meshery, you can manage your connections and credentials with ease and preview changes to your infrastructure before merging. Meshery is a self-service engineering platform that simplifies cloud native management - try it now and transform your cloud native experience!

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🌟 obra/superpowers caught my eye on GitHub Trending today.

🔗 https://github.com/obra/superpowers
📝 An agentic skills framework & software development methodology that works.
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Superpowers is a software development methodology that transforms your coding agents into powerhouses. Its purpose is to make your agent use composable skills and initial instructions to ensure effective coding. The key features include brainstorming, test-driven development, systematic debugging, and collaboration tools.

To use Superpowers, you can install it via various platforms like Claude Code, Antigravity, Codex App, and more. The installation process differs depending on the harness you use.

From a technical standpoint, Superpowers uses a skills library that includes testing, debugging, collaboration, and meta skills. It also emphasizes test-driven development, systematic over ad-hoc approaches, complexity reduction, and evidence over claims.

The target audience for Superpowers includes coding agents, developers, and anyone looking to streamline their coding process.

In a nutshell, Superpowers is a game-changer for coding agents - with Superpowers, your agent doesn't just write code, it crafts solutions.

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💡 google-research/timesfm just hit the trending charts — here's why it matters.

🔗 https://github.com/google-research/timesfm
📝 TimesFM (Time Series Foundation Model) is a pretrained time-series foundation model developed by Google Research for time-series forecasting.
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Introducing TimesFM: a pretrained time-series foundation model developed by Google Research for time-series forecasting.

The model is pretrained and available for use, with a paper detailing its development and capabilities. TimesFM has been integrated into various Google products, including BigQuery ML and Google Sheets, for easy access and scalability.

To get started with TimesFM, you can install it via PyPI using pip install timesfm[torch] or pip install timesfm[flax]. The model also supports XReg for covariate support.

Some of the key features of TimesFM include:
- ForecastConfig for customizing forecasting settings
- Support for continuous quantile forecast
- Flax version for faster inference

Here's an example of how to use TimesFM:

import torch
import numpy as np
import timesfm

model = timesfm.TimesFM_2p5_200M_torch.from_pretrained("google/timesfm-2.5-200m-pytorch")
model.compile(timesfm.ForecastConfig(...))
point_forecast, quantile_forecast = model.forecast(...)

TimesFM is suitable for data scientists, researchers, and developers working with time-series data.

One-liner takeaway: TimesFM makes time-series forecasting more accessible and scalable, and is a game-changer for anyone working with time-series data.

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🔥 RocketChat/Rocket.Chat is trending — and it deserves your attention.

🔗 https://github.com/RocketChat/Rocket.Chat
📝 The Secure CommsOS™ for mission-critical operations
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Rocket.Chat is an open-source, secure communications platform for teams, developed in TypeScript. It offers real-time conversations, file sharing, and audio/video conferencing. With end-to-end encryption and role-based access control, it ensures data protection.

Key features include deployment flexibility, customizable workspaces, and integration with external systems. Rocket.Chat supports various deployment methods, including Docker, Podman, and Kubernetes.

The platform is used by millions of users worldwide, including organizations like Deutsche Bahn and Credit Suisse. It has desktop and mobile apps for seamless communication.

Rocket.Chat is designed for teams, organizations, and developers looking for a secure and customizable communication solution.

With a strong focus on community involvement and open-source development, Rocket.Chat is a platform that's constantly evolving.

Rocket.Chat is the ultimate secure communication solution for teams - join the community and experience it for yourself!

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🎯 continuedev/continue landed on trending. Worth a proper look.

🔗 https://github.com/continuedev/continue
📝 open-source coding agent
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The Continue project is an open-source coding agent that's available as a CLI, VS Code extension, and JetBrains plugin. Although the repository is no longer actively maintained, it's still a valuable resource for developers.

To get started, you can check out the Continue Docs for configuration, customization, and usage information.

The final 2.0.0 release includes a polished version of the VS Code extension, CLI, and JetBrains plugin, with features like removed anonymous telemetry and bug fixes.

The project is licensed under Apache 2.0 and has a community-driven codebase.

One-liner takeaway: Continue may be discontinued, but its open-source codebase remains a pioneering foundation for AI-powered coding tools.

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