📦 nirdiamant/agent_memory_techniques

Agent Memory Techniques

Build smarter LLM agents that actually remember past conversations by exploring thirty runnable Jupyter notebooks filled with real Python code. The agent_memory_techniques repository solves the persistent problem of AI agents forgetting user context between sessions. It walks you through short-term conversation buffers, long-term vector stores, and cognitive structures like hierarchical memory layers. You can run code for advanced self-reflection patterns, episodic-to-semantic knowledge graph extraction with Graphiti, and frameworks like Mem0 or Letta. It is a highly practical playbook for anyone wanting to build personalized, long-lasting AI assistants that learn from every single interaction.

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📦 prithvi-web/treemap

TreeMap

Visualize all of your disk space to reclaim gigabytes of storage using interactive, color-coded squarified treemaps. This self-contained application runs locally on macOS, Windows, and Linux without any trackers or external dependencies. It features an eight-way concurrent disk scanner that maps out files and folders while offering smart cleanup suggestions for leftover system caches and build outputs. It even tracks historical snapshots to show exactly which directories grew since your last scan. Best of all, it deletes files safely through your native operating system trash so you can recover them at any time. Download the app today to master your machine's storage.

📰 https://news.ycombinator.com/item?id=48548995

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📦 vukrosic/llm-research-kit

Build and Train Your Own LLM with This Research Kit

LLM Research Kit is the high-performance codebase that finally provides a modular foundation for training and optimizing language models. Designed for researchers, this repository includes everything needed to test new transformer architectures, experiment with advanced optimizers like Muon, and conduct full pretraining runs on one or more GPUs. The toolkit features a flexible configuration system, pre-built training scripts, and a robust benchmark suite for evaluating models on commonsense reasoning tasks. By simplifying the pipeline from data download to performance analysis, this project gives you the structured environment necessary to iterate quickly and master modern AI research.

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📦 sybil-solutions/local-studio

Local Studio

Launch, manage, and run your self-hosted LLMs right from your own machine with a unified control panel. local-studio bridges the gap between raw inference engines and a clean user experience by giving you a centralized Bun and Hono controller that directly coordinates backends like llama.cpp, vLLM, SGLang, and MLX. You can monitor live GPU metrics, spin up a Pi coding agent session, and deploy models locally or on a remote GPU server. With its Next.js frontend, terminal TUI, and desktop Electron shell, you get complete authority over your self-hosted AI stack. Grab your models and run them your way.

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📦 metalogico/issued

Host Your Own Personal Comic Library Server

Issued acts as a fast, self-hosted server that transforms any folder of digital comics into an organized library accessible from your web browser or mobile reader. It supports common formats like CBZ, CBR, and PDF while automatically extracting metadata and generating thumbnail previews for your collection. You can either use the built-in web reader to browse and read directly in your browser or connect your favorite OPDS-compatible mobile app to read on the go. The server handles automatic file monitoring for new issues, giving you a centralized way to track your reading progress and manage ongoing series.

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📦 rightnow-ai/picolm

PicoLM

picolm is the minimal local inference engine that runs a one-billion parameter language model on a ten-dollar hardware board with only forty-five megabytes of runtime RAM. By memory-mapping a quantized GGUF model file directly from disk and streaming it one layer at a time, this zero-dependency engine bypasses the typical memory constraints of embedded systems. It packs an entire neural network forward pass, a custom tokenizer, and even a grammar-constrained JSON output mode for reliable tool calling into just twenty-five hundred lines of pure C. It is a brilliant way to build completely offline, private AI hardware without any cloud API bills.

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📦 baairon/torlink

torlink

torlink is the terminal-native torrent finder that lets you search and download directly from your command line with absolutely zero configuration. It streams live results from a curated catalog of trusted sources, prioritizing safety by limiting executable game downloads to highly verified repackers while keeping movies, anime, and TV to plain video files. You can paste a magnet link, search with text, and track your active downloads with live speeds and progress bars. Once finished, downloads seed automatically in the background, and everything resumes perfectly if interrupted. Run npx torlnk to start downloading your media completely server-free.

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📦 om-ai-lab/vlx-seek

VLX-Seek: Smarter Visual Localization for Edge AI

VLX-Seek is the fine-grained vision-language model that finally replaces fragile coordinate generation with intuitive region referencing for edge-side embodied systems. Instead of forcing models to output long, prone-to-error numeric bounding boxes, it treats candidate visual regions as addressable tokens. This allows the model to naturally select and refer to specific objects by ID during reasoning. By using a hybrid encoder to connect local details with semantic understanding, it delivers faster, more stable performance for tasks like open-vocabulary detection and object counting. This efficient approach keeps your visual AI grounded and accurate while maintaining high responsiveness for real-world interactions.

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📦 rennf93/roboco

RoboCo

Run a complete virtual software development company right from your own hardware. This system deploys a structured, self-hosted organization of twenty-five distinct AI agents—including developers, quality assurance testers, and project managers—who coordinate through a formal task lifecycle. You act as the human CEO, feeding requirements to a board that breaks them into subtasks, delegates them to specialized backend, frontend, or design cells, and runs the code through a strict git-based build, test, and documentation pipeline. It lets you orchestrate complex, multi-project development securely using a custom control panel, leaving you in sole control of what finally merges.

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📦 seeed-projects/ai_robotics_academy

Master Robotics Engineering with the Seeed AI Robotics Academy

Seeed AI Robotics Academy is the comprehensive learning portal that finally bridges the gap between theoretical robotics and hands-on hardware implementation. This repository offers a structured curriculum covering everything from ROS1 and ROS2 basics to advanced simulation environments like NVIDIA Isaac Sim and MuJoCo. It features dedicated modules for mastering wheeled-legged robot dynamics, including PID-based pitch self-balancing and terrain adaptation, alongside practical tutorials for the ReachyMini desktop platform. Whether you are building kinematics models or deploying reinforcement learning, these resources provide the engineering workflows and deep technical insights needed to develop high-performance, autonomous robotic systems.

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📦 areshamohanad/bughunter-ai

Automate Penetration Testing with BugHunter-AI

Streamline your security assessments with BugHunter-AI, an automated penetration testing framework designed to manage complex scanning tasks while keeping your system stable. By leveraging a resource-aware task queue, the tool monitors CPU and RAM usage to execute security tools efficiently without causing system overload. The project features a futuristic cyberpunk-themed graphical interface where you can configure concurrent execution limits, track real-time tool progress, and view live system metrics. With its integrated AI analysis capabilities, it processes scan reports to suggest follow-up actions, ensuring a structured approach to your security testing workflow. Take control of your automated security audits today.

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📦 ethanfel/comfyui-krea2textencoder

Better Krea2 Prompts with Vision-Aware Encoding

ComfyUI-Krea2TextEncoder is the custom node that finally provides proper vision-aware conditioning for the Krea2 model. It solves issues with the default encoder by forcing the correct Krea2 descriptor template and removing unnecessary VAE inputs that the model ignores. This tool allows you to feed multiple reference images and optional masks into the Qwen3-VL-4B vision path to influence your generations effectively. It supports auto-growing input slots and configurable padding for precise image cropping, ensuring your prompts interact correctly with reference visuals. Upgrade your ComfyUI workflow to achieve more consistent and visually responsive output for your creative projects.

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📦 jordancoin/codemap

Codemap

Give your AI agents instant project context without wasting valuable API tokens. Written in Go, codemap runs locally to provide structured architectural overviews, dependency flow mapping, and quick code diffs. It features a skills framework that delivers context-aware guidelines to Claude or other LLMs based on the languages and files you are editing. You can use its built-in model context protocol server, serve context over a local HTTP API, or capture multi-agent handoffs when switching from Claude to Cursor. Download codemap today to make your AI coding sessions faster, cheaper, and vastly more accurate.

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📦 browser-use/browser-agent-template

Build Your Own Web-Browsing AI Agent

This open-source template lets you deploy a functional web-browsing agent that navigates the real internet using a cloud-based browser. By integrating the eve framework with a live browser environment, it enables you to create agents that scrape data, fill out forms, and perform tasks on actual websites. The architecture includes a side panel that displays the agent's work in real time, giving you full transparency into its interactions. Because the agent manages its browser session server-side, you can build reliable tools for automation without handling complex scraping APIs. It is a powerful foundation for building your own intelligent browsing assistants.

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📦 ynulihao/agentskillos

AgentSkillOS

Orchestrate complex AI agent workflows automatically by pulling from a massive library of over two hundred thousand specialized skills. AgentSkillOS works like an operating system for agents, letting you search a structured capability tree to discover non-obvious, functionally relevant skills and compose them into directed acyclic graph pipelines. It solves the massive scalability bottleneck of finding and combining the right tools for multi-step tasks, featuring a clean web UI for human-in-the-loop intervention and a batch CLI with rich progress terminal logs. Give AgentSkillOS a spin to build highly capable, auditable agent pipelines that execute flawlessly.

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📦 fareedkhan-dev/claude-code-from-scratch

claude-code-from-scratch

claude-code-from-scratch is the terminal agent harness that replicates the exact multi-agent architecture powering Anthropic's production tools from the ground up [README.md]. Instead of relying on fragile prompts, it introduces developers to harness engineering by progressively building a twenty-three-session agent framework starting with a minimal perception-action loop [README.md]. You will learn how to implement essential runtime features like three-layer context compression, YAML rule-based permissions, parallel tool execution, and official Model Context Protocol integrations [README.md]. It is a masterclass in building reliable agentic software that remains highly stable over long sessions [README.md]. Grab the code, boot up the scripts, and start building production-grade AI agents today [README.md].

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📦 noblerworks-hq/ironsight

Ironsight

Monitor real-time open-source intelligence across the Middle East by spinning up a localized command center dashboard on your machine. This Next.js and TypeScript project aggregates critical security data from over fifty free sources without requiring a single API key. You can display live military aircraft tracking via adsb.lol, naval vessel telemetry in the Persian Gulf, real-time translated Telegram channels, and NASA FIRMS satellite thermal markers for fire detection. It even loops missile trajectory arcs on an interactive Leaflet map during active alerts. It is a brilliant example of client-side data aggregation that puts a complete tactical operating picture right in your browser.

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📦 snu-vgilab/extend3d

Extend3D

Generate massive town-scale 3D scenes from a single input image using your local NVIDIA graphics card. The extend3d project solves the massive scale bottleneck of traditional 3D generation by expanding neural reconstruction pipelines to model entire virtual towns. Built on top of the Trellis framework, this codebase processes a flat source image to output both highly detailed 3D Gaussians and optimized FlexiCubes meshes ready for virtual worlds. You can run the entire pipeline in PyTorch to export complex environment assets as standard GLB files with high-fidelity textures. Check out this project to start building expansive, render-ready environments from simple images.

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📦 cathrynlavery/diagram-design

Diagram Design

Diagram-design is the Claude Code skill that finally generates gorgeous, editorial-quality diagrams instead of generic, rounded-box artificial intelligence slop. When you ask Claude to map out your architecture or database, it skips the ugly shadows and instead crafts beautiful, self-contained HTML and SVG schematics that match your brand in sixty seconds. Just point the skill at your website, and it automatically extracts your exact colors and typography, checking contrast levels to map out pristine timelines, flowcharts, or state machines. It relies on a meticulous, grid-aligned system with gorgeous typography and hand-drawn sketchy variants that look like a professional designer built them. You will get stunning, production-ready visuals tailored specifically to...

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📦 himself65/finance-skills

finance-skills

Supercharge your AI agents with the ability to perform institutional-grade investment research. The finance-skills repository provides a structured open standard framework to load advanced financial skills directly into Claude Code. Your AI can instantly pull live market data through yfinance, map complex options payoff charts, and run discounted cash flow valuations. It even reads TradingView desktop app states and tracks Strait of Hormuz shipping risks. It is the ultimate toolkit for developers who want their AI assistants to analyze the markets like seasoned hedge fund analysts. Grab the repository and install the plugins to start running automated, multi-perspective financial analyses today.

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