🌟 tirth8205/code-review-graph caught my eye on GitHub Trending today.

🔗 https://github.com/tirth8205/code-review-graph
📝 Local-first code intelligence graph for MCP and CLI. Builds a persistent map of your codebase so AI coding tools read only what matters, with benchmarked context reductions on reviews and large-repo workflows.
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The code-review-graph tool is designed to optimize your code review process by building a structural map of your codebase and tracking changes incrementally. This allows your AI assistant to focus on the most relevant parts of your code, reducing the number of tokens it needs to read and making the review process more efficient.

The key features of code-review-graph include its ability to parse your codebase into an abstract syntax tree (AST) using Tree-sitter, store the AST as a graph of nodes and edges, and query the graph to determine the minimal set of files that need to be reviewed.

To use code-review-graph, you can install it via pip install code-review-graph and then run code-review-graph install to set up the tool for your project. The tool supports a wide range of programming languages, including Python, JavaScript, and Java, and allows you to add support for custom languages by creating a languages.toml file.

code-review-graph is designed for developers who want to optimize their code review process and reduce the time and resources required for code reviews. With its advanced features and support for custom languages, it's an ideal tool for any development team looking to streamline their workflow.

In short, code-review-graph helps you review smarter, not harder, by giving your AI assistant the context it needs to focus on the most important parts of your code.

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💡 esengine/DeepSeek-Reasonix just hit the trending charts — here's why it matters.

🔗 https://github.com/esengine/DeepSeek-Reasonix
📝 DeepSeek-native AI coding agent for your terminal. Engineered around prefix-cache stability — leave it running.
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Reasonix is a DeepSeek-native AI coding agent designed for your terminal. It's engineered around prefix-cache stability, keeping token costs low across long sessions. The legacy TypeScript line (Reasonix 0.x) is in maintenance mode, with active development moved to the Go rewrite in the main-v2 branch.

To install Reasonix, run npm install -g reasonix or use npx reasonix code for a one-time execution. It works on macOS, Linux, and Windows. The dsnix alias is also available for a shorter command.

Key features include:

* Coding agent: Launches a coding session with filesystem and shell tools.
* Chat mode: A lighter mode for plain chat without disk access.
* Skills and memory: Author custom skills and manage user-private knowledge.
* Configuration: Customizable via a JSON file and per-project overrides.

The target audience includes developers and power users who want to leverage AI assistance in their coding workflow.

Technical highlights include:

* prefix-cache stability for low token costs.
* DeepSeek API integration for seamless AI functionality.
* Customizable configuration for tailored workflows.

In summary, Reasonix is a powerful AI coding agent that streamlines your development workflow with its unique prefix-cache stability and customizable features. Try it out and experience the future of coding assistance!

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🧠 Channel: https://t.iss.one/GithubRe

🎯 obra/superpowers landed on trending. Worth a proper look.

🔗 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 gives your coding agents a set of composable skills to work more efficiently. It starts by asking you what you're trying to achieve, then breaks down the work into manageable tasks with clear implementation plans. The agent works autonomously, following a subagent-driven-development process, and emphasizes test-driven-development and systematic debugging.

Key features include a skills library with testing, debugging, and collaboration tools, as well as a brainstorming feature that refines rough ideas through questions and presents designs for validation. The methodology is designed to be systematic and simple, with a focus on complexity reduction and evidence-based decision making.

To get started, you can install Superpowers as a plugin for various coding agents, including Claude Code, Antigravity, and Codex App. The installation process varies depending on the agent, but most involve installing a plugin or package from the Superpowers repository.

The target audience for Superpowers is developers who want to work more efficiently and effectively with their coding agents. The methodology is designed to be flexible and adaptable, with a focus on community support and continuous improvement.

One-liner takeaway: Superpowers is a game-changer for coding agents, empowering them to work more efficiently and effectively, and helping developers achieve their goals with ease.

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💡 firecrawl/pdf-inspector just hit the trending charts — here's why it matters.

🔗 https://github.com/firecrawl/pdf-inspector
📝 Fast Rust library for PDF inspection, classification, and text extraction. Intelligently detects scanned vs text-based PDFs to enable smart routing decisions.
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Purpose: The pdf-inspector GitHub repository offers a fast Rust library for PDF classification and text extraction. It detects whether a PDF is text-based or scanned, extracts text with position awareness, and converts it to clean Markdown without using OCR.

Key Features: This library includes smart classification, text extraction with font information and coordinates, Markdown conversion with headings, lists, and tables, and support for CID fonts and multi-column layouts.

Usage: It provides bindings for Python, Node.js, and browser WebAssembly, allowing for easy integration into various projects. The library can be used for tasks such as PDF routing, where it can quickly classify PDFs and extract text from text-based documents, saving time and cost by avoiding unnecessary OCR processing.

Technical Highlights: The library achieves fast performance, with classification taking around 10-50ms and text extraction taking around 150ms. It also supports various scan strategies, including early exit, full scan, and sampling, making it suitable for large-scale PDF processing pipelines.

Audience: This library is designed for developers working with PDFs, particularly those who need to process large volumes of documents and require a fast and efficient solution for text extraction and classification.

In summary, pdf-inspector is a powerful tool for PDF processing, offering a unique combination of speed, accuracy, and functionality, making it an ideal choice for developers looking to streamline their PDF workflows: process your PDFs faster and smarter with pdf-inspector.

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🧠 Channel: https://t.iss.one/GithubRe

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🔥 PrimeIntellect-ai/prime-agent is trending — and it deserves your attention.

🔗 https://github.com/PrimeIntellect-ai/prime-agent
📝 A self-improving RLM agent for coding workflows and long-running autonomous tasks.
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Prime Agent is an open-source coding and research agent designed for general and long-running work. It's built around two core abstractions: the Recursive Language Model (RLM) and the Continual Harness. The RLM treats context as variables and tools like recursive subagents as function calls, while the Continual Harness stores supplemental prompts, memories, and reusable subagent specifications as durable state.

The agent combines a persistent Python control environment with durable harness state, allowing useful working context and reusable operating patterns to outlive a single chat window. prime-agent can be installed using a simple curl command and can be started from any directory. It offers various features such as programmatic subagents, skill creation, and direct agent-to-agent communication.

Technical highlights include a persistent IPython environment, daemon-backed continuity, and heartbeats and schedules for long-running work. The agent is designed for long-running evaluations in research and offers a range of commands for managing sessions, including prime-agent agents, prime-agent attach, and prime-agent shutdown.

The Prime Agent is suitable for researchers, developers, and anyone looking for a powerful tool for long-running work. With its extensive documentation and open-source license, it's an attractive choice for those seeking a flexible and customizable solution.

In short, Prime Agent is a game-changer for long-running work - it's like having a super-smart, always-on, and highly customizable assistant at your fingertips!

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🧠 Channel: https://t.iss.one/GithubRe

🔥 addyosmani/agent-skills is trending — and it deserves your attention.

🔗 https://github.com/addyosmani/agent-skills
📝 Production-grade engineering skills for AI coding agents.
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The addyosmani/agent-skills GitHub repository provides production-grade engineering skills for AI coding agents. These skills encode workflows, quality gates, and best practices used by senior engineers when building software, ensuring AI agents follow them consistently across every development phase.

The repository includes 8 slash commands that map to the development lifecycle, activating the right skills automatically. It also features a Quick Start guide for easy installation and a Meta skill for discovering which skill applies to a given task.

Technical highlights include test-driven development, incremental implementation, and context engineering. The skills are designed to work with various agents, including Claude Code, Cursor, Codex, and GitHub Copilot.

The target audience is developers and teams looking to improve their coding efficiency and quality. With addyosmani/agent-skills, you can streamline your development process and ensure your code meets high standards.

In short, addyosmani/agent-skills helps you code like a pro by providing a set of production-ready skills for AI agents - install, and let the skills do the heavy lifting.

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🧠 Channel: https://t.iss.one/GithubRe

🔥 cloudflare/computer is trending — and it deserves your attention.

🔗 https://github.com/cloudflare/computer
📝 Give your agent a computer 👾
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Cloudflare Computer is a virtual filesystem that lives inside a Durable Object, providing a unique approach to cloud computing. It has three backends: Container, Isolate shell, and Isolate JavaScript, each offering a different way to interact with the filesystem. The workspace.runtime.exec function is the main entry point for execution, allowing users to run shell commands or ECMAScript modules.

To get started, you can install the @cloudflare/computer package and follow the instructions in its README. The repository includes several examples, such as running a container, using a worker shell, or executing JavaScript code.

The project is still in the preview phase, so the APIs are unstable and subject to change. It's suitable for experiments and prototypes, but not for production use.

For developers, the repository provides a monorepo with multiple packages, including @cloudflare/dofs, @cloudflare/computer-rpc, and @cloudflare/computerd.

In terms of performance, the computerd daemon's FUSE mount shows promising results, beating real disk performance in certain scenarios.

Overall, Cloudflare Computer is an innovative project that's worth exploring for developers looking to push the boundaries of cloud computing.

One-liner takeaway: Cloudflare Computer is a game-changer for cloud computing, offering a virtual filesystem with multiple backends and a unique execution model that's perfect for experimentation and innovation.

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🧠 Channel: https://t.iss.one/GithubRe

💡 mattpocock/skills just hit the trending charts — here's why it matters.

🔗 https://github.com/mattpocock/skills
📝 Skills for Real Engineers. Straight from my .agents directory.
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The mattpocock/skills GitHub repository is a collection of skills designed to enhance the productivity of real engineers. These skills are small, adaptable, and composable, allowing them to work with any model. The key features of this repository include grilling sessions to align with the agent, shared language to reduce verbosity, and feedback loops to ensure the code works as intended.

To use these skills, you can install them via the Claude Code plugin or by running npx skills@latest add mattpocock/skills. Once installed, you can run /setup-matt-pocock-skills to configure the skills for your project.

The technical highlights of this repository include

/grill-me

and

/grill-with-docs

for grilling sessions,

/tdd

for test-driven development, and

/diagnosing-bugs

for debugging.

These skills are designed for engineers who want to improve their productivity and code quality. With these skills, you can streamline your workflow, reduce errors, and improve your overall coding experience.

In short, the mattpocock/skills repository is a game-changer for engineers looking to take their coding skills to the next level - supercharge your coding productivity with these powerful skills.

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🧠 Channel: https://t.iss.one/GithubRe

🔍 Deep-diving into obra/superpowers — fresh off the trending list.

🔗 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 empowers your coding agents with a set of composable skills and initial instructions. The purpose of Superpowers is to streamline the coding process, from brainstorming to implementation, using a systematic approach.

Key features include test-driven-development, systematic-debugging, and collaboration tools. To use Superpowers, simply install it as a plugin in your preferred coding agent, such as Claude Code, Antigravity, or Codex App.

From a technical perspective, Superpowers provides a skills library that includes various workflows, such as brainstorming, writing-plans, and executing-plans. The target audience for Superpowers includes developers, coding agents, and anyone looking to improve their coding efficiency.

In conclusion, Superpowers is a game-changer for coding agents, and its impact on the coding community will be significant - Superpowers is not just a tool, it's a superpower for your coding agent!

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🧠 Channel: https://t.iss.one/GithubRe

📌 Spotted on GitHub Trending: goauthentik/authentik — let's break it down.

🔗 https://github.com/goauthentik/authentik
📝 The authentication glue you need.
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authentik is an open-source Identity Provider (IdP) designed for self-hosting, supporting various protocols like SAML, OAuth2/OIDC, LDAP, and RADIUS. It's suitable for small labs to large production clusters, with an enterprise offering available for robust identity management.

The installation process is flexible, allowing users to deploy via Docker Compose, Kubernetes (Helm Chart), AWS CloudFormation, or the DigitalOcean Marketplace. The project has a strong focus on development and contributions, with extensive documentation and a clear contribution process.

When it comes to security, authentik takes it seriously, with guidelines outlined in the SECURITY.md file. The project is licensed under MIT, CC BY-SA 4.0, and an enterprise license.

authentik is perfect for organizations looking for a customizable, self-hosted identity management solution - take control of your identity management today!

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🧠 Channel: https://t.iss.one/GithubRe

🚀 Meet semantica-agi/semantica: a gem from today's GitHub trending list.

🔗 https://github.com/semantica-agi/semantica
📝 Graph-Native Infrastructure for Context and Accountable AI Systems
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Semantica is an open-source, graph-native infrastructure for context and accountable AI systems, designed to provide explainable, traceable, and trustworthy decision-making. Key features include context graphs, decision intelligence, ontology management, knowledge modeling, and end-to-end traceability.

Technical highlights of Semantica include polyglot graph storage, support for RDF and LPG, and compliance with W3C standards, making it interoperable with various systems.

Audience for Semantica includes AI/ML platform teams, data platform teams, compliance and risk teams, regulated enterprises, and platform and data engineers who require a self-hosted and customizable solution for decision intelligence and context management.

To get started with Semantica, you can pip install semantica and explore the ContextGraph class, which allows you to record decisions, trace decision chains, and analyze decision impact.

In a nutshell, Semantica is the missing link between AI decision-making and explainability, making it an essential tool for anyone working with high-stakes, regulated domains: With Semantica, your AI decisions are no longer black boxes, but transparent, auditable, and trustworthy.

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🧠 Channel: https://t.iss.one/GithubRe