Github Top Repositories
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💡 palmier-io/palmier-pro just hit the trending charts — here's why it matters.
🔗 https://github.com/palmier-io/palmier-pro
📝 macOS video editor built for AI
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Palmier Pro is a cutting-edge, open-source video editor designed for AI integration, built from scratch with Swift. Its key features include a Swift-native video editor, built-in generative AI with models like Seedance and Kling, and the ability to integrate with your agents via MCP.
To get started, simply download the app and use it as a video editor, or connect your agents like Claude or Codex via MCP. For example, you can connect Claude using the following
Palmier Pro is perfect for video editors, AI enthusiasts, and developers looking to create and edit videos with AI assistance. With its user-friendly interface and robust features, Palmier Pro is poised to revolutionize the world of video editing.
Get ready to take your video editing to the next level with Palmier Pro - where AI meets creativity!
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🧠 Channel: https://xn--r1a.website/GithubRe
🔗 https://github.com/palmier-io/palmier-pro
📝 macOS video editor built for AI
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Palmier Pro is a cutting-edge, open-source video editor designed for AI integration, built from scratch with Swift. Its key features include a Swift-native video editor, built-in generative AI with models like Seedance and Kling, and the ability to integrate with your agents via MCP.
To get started, simply download the app and use it as a video editor, or connect your agents like Claude or Codex via MCP. For example, you can connect Claude using the following
claude mcp add command:claude mcp add --transport http palmier-pro http://127.0.0.1:19789/mcp
Palmier Pro is perfect for video editors, AI enthusiasts, and developers looking to create and edit videos with AI assistance. With its user-friendly interface and robust features, Palmier Pro is poised to revolutionize the world of video editing.
Get ready to take your video editing to the next level with Palmier Pro - where AI meets creativity!
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🧠 Channel: https://xn--r1a.website/GithubRe
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📌 Spotted on GitHub Trending: jamiepine/voicebox — let's break it down.
🔗 https://github.com/jamiepine/voicebox
📝 The open-source AI voice studio. Clone, dictate, create.
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Voicebox is an open-source AI voice studio that empowers you to clone any voice, generate speech, dictate into any app, and talk to agents in voices you own. This local-first solution offers complete privacy, as models, voice data, and captures never leave your machine.
Key features include:
- 7 TTS engines with different strengths
- Voice cloning and preset voices
- Support for 23 languages
- Post-processing effects like pitch shift, reverb, and delay
- Expressive speech with paralinguistic tags
- Unlimited length for generation with auto-chunking and crossfade
Voicebox is designed for anyone interested in AI voice technology, including developers, content creators, and individuals who want to explore the possibilities of voice cloning and speech generation.
With its API-first approach and native performance,
One-liner takeaway: Voicebox puts the full voice I/O stack at your fingertips, locally and privately, so you can unlock new levels of creativity and productivity.
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🧠 Channel: https://xn--r1a.website/GithubRe
🔗 https://github.com/jamiepine/voicebox
📝 The open-source AI voice studio. Clone, dictate, create.
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Voicebox is an open-source AI voice studio that empowers you to clone any voice, generate speech, dictate into any app, and talk to agents in voices you own. This local-first solution offers complete privacy, as models, voice data, and captures never leave your machine.
Key features include:
- 7 TTS engines with different strengths
- Voice cloning and preset voices
- Support for 23 languages
- Post-processing effects like pitch shift, reverb, and delay
- Expressive speech with paralinguistic tags
- Unlimited length for generation with auto-chunking and crossfade
Voicebox is designed for anyone interested in AI voice technology, including developers, content creators, and individuals who want to explore the possibilities of voice cloning and speech generation.
With its API-first approach and native performance,
voicebox is a powerful tool for integrating voice I/O into your applications. One-liner takeaway: Voicebox puts the full voice I/O stack at your fingertips, locally and privately, so you can unlock new levels of creativity and productivity.
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🧠 Channel: https://xn--r1a.website/GithubRe
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Github Top Repositories
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📌 Spotted on GitHub Trending: mukul975/Anthropic-Cybersecurity-Skills — let's break it down.
🔗 https://github.com/mukul975/Anthropic-Cybersecurity-Skills
📝 754 structured cybersecurity skills for AI agents · Mapped to 5 frameworks: MITRE ATT&CK, NIST CSF 2.0, MITRE ATLAS, D3FEND & NIST AI RMF · agentskills.io standard · Works with Claude Code, GitHub Copilot, Codex CLI, Cursor, Gemini CLI & 20+ platforms · 26 security domains · Apache 2.0
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The Anthropic Cybersecurity Skills repository is a comprehensive library of 762 production-grade cybersecurity skills, covering 26 security domains and mapped to six industry frameworks, including MITRE ATT&CK, NIST CSF 2.0, and MITRE F3. This repository provides a structured knowledge base for AI agents, enabling them to perform complex security tasks and investigations with expert-level guidance.
Key features include unified cross-framework coverage, industry-recognized standards, and real-world practitioner workflows. The skills are designed to be used with various AI platforms, including Claude Code, GitHub Copilot, and OpenAI Codex CLI.
To get started, users can clone the repository or use
The MITRE Fight Fraud Framework (F3) is also integrated, providing an additional layer of fraud-specific tactics and techniques. With its extensive coverage and structured approach, the Anthropic Cybersecurity Skills repository is a valuable resource for anyone looking to enhance their security capabilities with AI.
In a nutshell: Give your AI agent the security skills of a senior analyst with the Anthropic Cybersecurity Skills library – and watch it perform like a pro.
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🧠 Channel: https://xn--r1a.website/GithubRe
🔗 https://github.com/mukul975/Anthropic-Cybersecurity-Skills
📝 754 structured cybersecurity skills for AI agents · Mapped to 5 frameworks: MITRE ATT&CK, NIST CSF 2.0, MITRE ATLAS, D3FEND & NIST AI RMF · agentskills.io standard · Works with Claude Code, GitHub Copilot, Codex CLI, Cursor, Gemini CLI & 20+ platforms · 26 security domains · Apache 2.0
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The Anthropic Cybersecurity Skills repository is a comprehensive library of 762 production-grade cybersecurity skills, covering 26 security domains and mapped to six industry frameworks, including MITRE ATT&CK, NIST CSF 2.0, and MITRE F3. This repository provides a structured knowledge base for AI agents, enabling them to perform complex security tasks and investigations with expert-level guidance.
Key features include unified cross-framework coverage, industry-recognized standards, and real-world practitioner workflows. The skills are designed to be used with various AI platforms, including Claude Code, GitHub Copilot, and OpenAI Codex CLI.
To get started, users can clone the repository or use
npx skills add mukul975/Anthropic-Cybersecurity-Skills for immediate integration. The repository is ideal for security professionals, developers, and enterprise teams looking to leverage AI in their security operations.The MITRE Fight Fraud Framework (F3) is also integrated, providing an additional layer of fraud-specific tactics and techniques. With its extensive coverage and structured approach, the Anthropic Cybersecurity Skills repository is a valuable resource for anyone looking to enhance their security capabilities with AI.
In a nutshell: Give your AI agent the security skills of a senior analyst with the Anthropic Cybersecurity Skills library – and watch it perform like a pro.
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🧠 Channel: https://xn--r1a.website/GithubRe
Github Top Repositories
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🌟 penpot/penpot caught my eye on GitHub Trending today.
🔗 https://github.com/penpot/penpot
📝 Penpot: The open-source design tool for design and code collaboration
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Penpot is an open-source design platform that empowers teams to build digital products at scale, giving them full ownership of their design infrastructure. With real-time collaboration, Penpot strengthens the foundation for teams to scale and brings design closer to the product. The platform is built on open standards like SVG, CSS, HTML, and JSON, and works in the browser or deployed on your own servers.
Key features include best-in-class native Design Tokens, a powerful open API, and a plugin system that enables automation, AI-driven workflows, and integrations.
As a self-hosted, open-source, and real-time collaboration platform, Penpot offers full flexibility, security, and ownership without vendor lock-in. It's perfect for teams that need to manage design systems at scale and want to ship what's actually designed.
Penpot is suitable for designers, developers, and teams who want to create a fluid design-code process. The platform provides a single source of truth with native Design Tokens, Components, and Variants for scalable, reusable, and consistent UI across projects and platforms.
Get started with Penpot by using it in the cloud or deploying it anywhere, and join the Penpot community to contribute, ask questions, and participate in discussions.
In short, Penpot is the ultimate open-source design platform for teams that want to take control of their design infrastructure and create amazing digital products - design, collaborate, and ship with Penpot!
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🧠 Channel: https://xn--r1a.website/GithubRe
🔗 https://github.com/penpot/penpot
📝 Penpot: The open-source design tool for design and code collaboration
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Penpot is an open-source design platform that empowers teams to build digital products at scale, giving them full ownership of their design infrastructure. With real-time collaboration, Penpot strengthens the foundation for teams to scale and brings design closer to the product. The platform is built on open standards like SVG, CSS, HTML, and JSON, and works in the browser or deployed on your own servers.
Key features include best-in-class native Design Tokens, a powerful open API, and a plugin system that enables automation, AI-driven workflows, and integrations.
Penpot plugins let you expand the platform's capabilities, integrate it with other apps, and design custom solutions.As a self-hosted, open-source, and real-time collaboration platform, Penpot offers full flexibility, security, and ownership without vendor lock-in. It's perfect for teams that need to manage design systems at scale and want to ship what's actually designed.
Penpot is suitable for designers, developers, and teams who want to create a fluid design-code process. The platform provides a single source of truth with native Design Tokens, Components, and Variants for scalable, reusable, and consistent UI across projects and platforms.
Get started with Penpot by using it in the cloud or deploying it anywhere, and join the Penpot community to contribute, ask questions, and participate in discussions.
In short, Penpot is the ultimate open-source design platform for teams that want to take control of their design infrastructure and create amazing digital products - design, collaborate, and ship with Penpot!
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Github Top Repositories
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⚡ Stirling-Tools/Stirling-PDF is making waves. Here's the full picture.
🔗 https://github.com/Stirling-Tools/Stirling-PDF
📝 #1 PDF Application on GitHub that lets you edit PDFs on any device anywhere
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Stirling PDF is an open-source PDF editing platform that allows users to edit, sign, redact, convert, and automate PDFs without sending documents to external services. Key features include a
This platform is perfect for individuals and enterprises looking for a secure and flexible PDF solution. With its global UI available in 40+ languages and
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🧠 Channel: https://xn--r1a.website/GithubRe
🔗 https://github.com/Stirling-Tools/Stirling-PDF
📝 #1 PDF Application on GitHub that lets you edit PDFs on any device anywhere
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Stirling PDF is an open-source PDF editing platform that allows users to edit, sign, redact, convert, and automate PDFs without sending documents to external services. Key features include a
desktop client, browser UI, and self-hosted server with a private API, as well as 50+ PDF tools and automation & workflows. To get started, use the docker run command: docker run -p 8080:8080 docker.stirlingpdf.com/stirlingtools/stirling-pdf
This platform is perfect for individuals and enterprises looking for a secure and flexible PDF solution. With its global UI available in 40+ languages and
REST APIs for integration, Stirling PDF is a powerful tool for anyone looking to streamline their PDF workflow. Take control of your PDFs with Stirling PDF - the ultimate PDF power tool.──────────────────────────────
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Github Top Repositories
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⚡ garrytan/gstack is making waves. Here's the full picture.
🔗 https://github.com/garrytan/gstack
📝 Use Garry Tan's exact Claude Code setup: 23 opinionated tools that serve as CEO, Designer, Eng Manager, Release Manager, Doc Engineer, and QA
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Boost your productivity with gstack, an open-source software factory that leverages AI to streamline your development workflow.
Key features include automated code review, QA testing, and release automation, all accessible via simple slash commands.
Target audience includes founders, CEOs, first-time Claude Code users, tech leads, and staff engineers. To get started, simply install
Don't just code, ship like a team of twenty with gstack - your virtual engineering team is just a slash command away.
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🧠 Channel: https://xn--r1a.website/GithubRe
🔗 https://github.com/garrytan/gstack
📝 Use Garry Tan's exact Claude Code setup: 23 opinionated tools that serve as CEO, Designer, Eng Manager, Release Manager, Doc Engineer, and QA
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Boost your productivity with gstack, an open-source software factory that leverages AI to streamline your development workflow.
gstack is the brainchild of Garry Tan, President & CEO of Y Combinator, who has used it to ship 3 production services and 40+ features in just 60 days. Key features include automated code review, QA testing, and release automation, all accessible via simple slash commands.
gstack integrates with Claude Code and other AI agents, allowing you to work more efficiently. The gstack process follows a logical sequence: Think → Plan → Build → Review → Test → Ship → Reflect.Target audience includes founders, CEOs, first-time Claude Code users, tech leads, and staff engineers. To get started, simply install
gstack and run the /office-hours command to begin your project. Don't just code, ship like a team of twenty with gstack - your virtual engineering team is just a slash command away.
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🧠 Channel: https://xn--r1a.website/GithubRe
💡 heygen-com/hyperframes just hit the trending charts — here's why it matters.
🔗 https://github.com/heygen-com/hyperframes
📝 Write HTML. Render video. Built for agents.
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HyperFrames is an open-source framework that turns HTML, CSS, media, and animations into deterministic MP4 videos. It allows users to create videos by writing HTML, adding data attributes for timing and tracks, and using libraries like GSAP or CSS for seekable animation. Key features include a CLI for previewing and rendering videos, a catalog of reusable blocks and components, and support for AI coding agents.
The framework is agent-friendly, allowing coding agents to write HTML and produce videos without requiring proprietary timeline formats. It's also deterministic, producing the same output from the same input, making it suitable for CI and automated rendering. The
Technical highlights include the ability to use custom animation runtimes, a non-interactive CLI by default, and no build step required for compositions. Audience includes developers, designers, and content creators looking to produce high-quality videos using HTML and CSS.
In summary,
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🧠 Channel: https://xn--r1a.website/GithubRe
🔗 https://github.com/heygen-com/hyperframes
📝 Write HTML. Render video. Built for agents.
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HyperFrames is an open-source framework that turns HTML, CSS, media, and animations into deterministic MP4 videos. It allows users to create videos by writing HTML, adding data attributes for timing and tracks, and using libraries like GSAP or CSS for seekable animation. Key features include a CLI for previewing and rendering videos, a catalog of reusable blocks and components, and support for AI coding agents.
HyperFrames can be used locally or with Docker, and it renders videos using headless Chrome and FFmpeg. The framework is agent-friendly, allowing coding agents to write HTML and produce videos without requiring proprietary timeline formats. It's also deterministic, producing the same output from the same input, making it suitable for CI and automated rendering. The
HyperFrames stack includes a growing set of tools, including a studio for previewing and editing compositions and a community playground for sharing and rendering HTML-native video projects.Technical highlights include the ability to use custom animation runtimes, a non-interactive CLI by default, and no build step required for compositions. Audience includes developers, designers, and content creators looking to produce high-quality videos using HTML and CSS.
In summary,
HyperFrames provides a unique approach to video creation, allowing users to write HTML and produce deterministic MP4 videos, making it an exciting tool for those looking to automate video production: write once, render anywhere.──────────────────────────────
🧠 Channel: https://xn--r1a.website/GithubRe
Github Top Repositories
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🔍 Deep-diving into tursodatabase/turso — fresh off the trending list.
🔗 https://github.com/tursodatabase/turso
📝 Turso is an in-process SQL database, compatible with SQLite.
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The Turso Database is an in-process SQL database written in Rust, compatible with SQLite. Its key features include SQLite compatibility, BEGIN CONCURRENT for improved write throughput, and change data capture (CDC) for real-time tracking of database changes.
To get started, you can install the latest
The database supports multi-language bindings for languages like Go, JavaScript, Java, .NET, Python, and Rust. Example usage for each language is provided in the documentation. For instance, in Rust, you can use
Additionally, the Turso CLI includes a built-in Model Context Protocol (MCP) server that allows AI assistants to interact with your databases. You can start the MCP server with
Overall, Turso Database is a powerful and flexible solution for database management, with a wide range of features and language support. Take your database management to the next level with Turso Database - the future of in-process SQL databases!
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🧠 Channel: https://xn--r1a.website/GithubRe
🔗 https://github.com/tursodatabase/turso
📝 Turso is an in-process SQL database, compatible with SQLite.
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The Turso Database is an in-process SQL database written in Rust, compatible with SQLite. Its key features include SQLite compatibility, BEGIN CONCURRENT for improved write throughput, and change data capture (CDC) for real-time tracking of database changes.
To get started, you can install the latest
turso release and launch the interactive shell with tursodb. You can also build and run the latest development version with cargo run or use docker by running make docker-cli-build and make docker-cli-run.The database supports multi-language bindings for languages like Go, JavaScript, Java, .NET, Python, and Rust. Example usage for each language is provided in the documentation. For instance, in Rust, you can use
cargo add turso and then connect to the database with let db = Builder::new_local("sqlite.db").build().await?.Additionally, the Turso CLI includes a built-in Model Context Protocol (MCP) server that allows AI assistants to interact with your databases. You can start the MCP server with
tursodb your_database.db --mcp and configure it with various MCP clients like Claude Code, Claude Desktop, or Cursor.Overall, Turso Database is a powerful and flexible solution for database management, with a wide range of features and language support. Take your database management to the next level with Turso Database - the future of in-process SQL databases!
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🧠 Channel: https://xn--r1a.website/GithubRe
🎯 bytedance/deer-flow landed on trending. Worth a proper look.
🔗 https://github.com/bytedance/deer-flow
📝 An open-source long-horizon SuperAgent harness that researches, codes, and creates. With the help of sandboxes, memories, tools, skill, subagents and message gateway, it handles different levels of tasks that could take minutes to hours.
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DeerFlow is an open-source super agent harness that enables efficient research and exploration by orchestrating sub-agents, memory, and sandboxes with extensible skills. It's a ground-up rewrite of the original Deep Research framework, now available in version 2.0.
Key features include skills and tools like Claude Code integration, sub-agents, sandbox and file system, context engineering, and long-term memory.
To get started, you can clone the repository and run the setup wizard with
DeerFlow is ideal for developers, researchers, and power users looking for a flexible and customizable platform.
One-liner takeaway: DeerFlow is a powerful, open-source super agent harness that streamlines research and exploration with its unique combination of sub-agents, memory, and sandboxes.
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🧠 Channel: https://xn--r1a.website/GithubRe
🔗 https://github.com/bytedance/deer-flow
📝 An open-source long-horizon SuperAgent harness that researches, codes, and creates. With the help of sandboxes, memories, tools, skill, subagents and message gateway, it handles different levels of tasks that could take minutes to hours.
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DeerFlow is an open-source super agent harness that enables efficient research and exploration by orchestrating sub-agents, memory, and sandboxes with extensible skills. It's a ground-up rewrite of the original Deep Research framework, now available in version 2.0.
Key features include skills and tools like Claude Code integration, sub-agents, sandbox and file system, context engineering, and long-term memory.
To get started, you can clone the repository and run the setup wizard with
make setup, then choose your deployment option: make dev for local development, make docker-start for Docker development, or make up for a long-running server. DeerFlow is ideal for developers, researchers, and power users looking for a flexible and customizable platform.
One-liner takeaway: DeerFlow is a powerful, open-source super agent harness that streamlines research and exploration with its unique combination of sub-agents, memory, and sandboxes.
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🧠 Channel: https://xn--r1a.website/GithubRe
Github Top Repositories
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🎯 DeusData/codebase-memory-mcp landed on trending. Worth a proper look.
🔗 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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Introducing codebase-memory-mcp, the fastest and most efficient code intelligence engine for AI coding agents. This cutting-edge tool full-indexes an average repository in milliseconds and the Linux kernel in just 3 minutes. It answers structural queries in under 1ms, making it a game-changer for developers.
Key features include high-quality parsing through tree-sitter AST analysis across 158 languages, Hybrid LSP semantic type resolution for 11 languages, and a persistent knowledge graph of functions, classes, call chains, and more. The tool is plug and play across 11 coding agents, with zero dependencies and a single static binary for macOS, Linux, and Windows.
Technical highlights include
Usage is straightforward, with a one-line install command and auto-sync background watcher for detecting file changes. The tool is designed for developers and researchers looking to supercharge their coding workflow with AI-powered code intelligence.
Takeaway: With codebase-memory-mcp, you can index your codebase in minutes and query it in milliseconds – it's a total game-changer for coding productivity.
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🧠 Channel: https://xn--r1a.website/GithubRe
🔗 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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Introducing codebase-memory-mcp, the fastest and most efficient code intelligence engine for AI coding agents. This cutting-edge tool full-indexes an average repository in milliseconds and the Linux kernel in just 3 minutes. It answers structural queries in under 1ms, making it a game-changer for developers.
Key features include high-quality parsing through tree-sitter AST analysis across 158 languages, Hybrid LSP semantic type resolution for 11 languages, and a persistent knowledge graph of functions, classes, call chains, and more. The tool is plug and play across 11 coding agents, with zero dependencies and a single static binary for macOS, Linux, and Windows.
Technical highlights include
RAM-first pipeline with LZ4 compression, in-memory SQLite, and fused Aho-Corasick pattern matching. The tool also features built-in graph visualization and infrastructure-as-code indexing for Dockerfiles, Kubernetes manifests, and Kustomize overlays.Usage is straightforward, with a one-line install command and auto-sync background watcher for detecting file changes. The tool is designed for developers and researchers looking to supercharge their coding workflow with AI-powered code intelligence.
Takeaway: With codebase-memory-mcp, you can index your codebase in minutes and query it in milliseconds – it's a total game-changer for coding productivity.
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🧠 Channel: https://xn--r1a.website/GithubRe