📦 agentmemoryworld/awesome-agent-memory

Awesome Agent Memory

AI bots are finally moving past short conversations and entering a phase where they actually need a working memory to be useful. That is where awesome-agent-memory comes in, collecting over two hundred studies on how to give AI a brain that lasts. Instead of letting bots forget everything the moment you close a chat, this project maps out how they can store long-term experiences, remember your personal preferences, and build actual skills over time. It is basically the ultimate master list for anyone trying to build an AI helper that does not have the memory of a goldfish.

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📦 anmolsaini16/mapcn

mapcn

You can now drop beautiful, fully interactive maps into your React apps with a single terminal command. Under the hood, mapcn packages the heavy-duty rendering power of MapLibre GL into clean, declarative components that styled beautifully using Tailwind CSS and play perfectly with shadcn UI. This solves the massive headache of wrestling with bulky map libraries, complex configurations, and mismatched themes. Instead of struggling for hours, you get gorgeous, theme-aware maps with pre-built support for animated arcs, clustering, and custom popups right out of the box. It is the absolute easiest way to make data maps look professional.

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📦 tuannvm/codex-mcp-server

Codex MCP Server

Supercharge your local Claude Code sessions by giving Claude direct access to OpenAI's powerful Codex capabilities. This clever bridge integrates the Codex command line directly into your Model Context Protocol workspace, letting you request deep code reviews, run automated refactoring tasks, and perform web searches without ever leaving your terminal. If you are working on a tricky feature, you can spin up structured, multi-turn conversations with specific AI models, and it will automatically handle session context behind the scenes. It completely changes how you interact with your code by bringing OpenAI's smartest developer tools straight to your favorite command line agent.

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📦 derssa/torollo

Torollo

Build and run complete backend architectures on an interactive visual canvas powered by real Docker containers on your own machine. Torollo lets you drag and drop components like databases, load balancers, and servers, then wire them together to see exactly how data moves. Instead of studying abstract diagrams, you get a hands-on playground where every node on the screen is a live container running locally. You can open a terminal, configure security rules, and watch mock traffic flow through your setup in real-time. It is the perfect local-first sandbox to master networking and system design without paying for cloud bills.

📰 https://news.ycombinator.com/item?id=48659847

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📦 iatomicreactori/csgotrading

CSGOTrading

You can now run a coordinate team of artificial intelligence agents to trade virtual Counter Strike items for you. This project builds a smart multi-agent framework that treats the gaming market like a real financial exchange. Instead of guessing skin prices, the system deploys specialized digital analysts to scan price charts, scrape community sentiment on Reddit, and monitor Steam news. A central coordinator agent dynamically decides which analysts to trust based on current market conditions, while a portfolio manager agent calculates exact position sizes and factors in transaction fees. It is a fascinating way to see LangGraph and modern language models conquer an unconventional economy.

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📦 metareflection/guardians

Guardians

Stop prompt injection attacks before they even start by separating code from data in your AI agent workflows. This clever python tool solves the classic security problem where an agent reads an untrusted email and gets hijacked by hidden instructions. Instead of letting the AI dynamically call tools on the fly, it forces the model to generate a structured plan upfront using safe placeholders instead of actual data. A local verifier then runs static checks like taint analysis and theorem proving against your security rules, ensuring malicious commands never execute. It is the ultimate proactive shield for autonomous agents.

📰 https://news.ycombinator.com/item?id=47700126

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📦 ythx-101/ask-search

ask-search

Give your local AI agents the power to search the live web without paying a single cent in API fees or leaking your private queries to third-party servers. The ask-search project acts as a clever, self-hosted bridge that connects tools like Claude Code or local agents to SearxNG, a private search engine pulling results from Google, Bing, and Brave. You get clean markdown lists of top search hits directly in your terminal, and you can even plug it in as a standard model context protocol server. It is a brilliant, zero-cost way to keep your agents smart, fast, and entirely private.

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📦 openosint/openosint

openosint

You can now run a full digital investigation using nothing but plain English. A new tool called openosint connects popular artificial intelligence models like Claude and GPT-4 directly to eighteen professional intelligence-gathering tools, letting you search for public information automatically. Instead of manually copying and pasting data between different websites, you just tell the system to investigate a target, like an email address. The assistant automatically queries data breaches, looks up social media accounts across hundreds of platforms, checks domain records, and builds a clean markdown report of the findings. It prevents hallucinations by using the AI purely to decide which real, local code tools to run next based on...

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📦 tzachbon/smart-ralph

Smart Ralph

You can now run a complete, self-contained software development team right inside your terminal. A clever Claude Code and Codex plugin called smart-ralph takes your loose feature ideas and instantly translates them into structured specifications, architectural designs, and concrete task lists. Instead of getting overwhelmed trying to write a massive codebase all at once, this tool acts like a disciplined developer that executes your project one single task at a time, refreshing its memory context after every step. It keeps your AI agent focused, prevents performance degradation on large files, and brings sanity to automated coding. Give it a try to build your next feature step-by-step.

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📦 coasty-ai/open-cowork

open-cowork

This open-source app lets you delegate real computer tasks to an AI coworker and watch it control your actual desktop screen live. Built as a self-hosted alternative to proprietary agents, open-cowork lets you hand over tasks like moving files or researching flights, streaming every single click and keystroke to your browser or phone while pausing for your manual approval. The coolest part is its flexible model support, which lets you plug in your own API keys or run a vision-capable local model completely offline for zero cost. It is a brilliant, secure way to play with desktop automation without giving up control or breaking the bank.

📰 https://news.ycombinator.com/item?id=48523556

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📦 pengbinghui/pipeline-math

pipeline-math

Solve unsolved math problems using artificial intelligence by deploying a smart pipeline that pairs a prover with a verifier. The pipeline-math project uses advanced language models to generate mathematical proofs for notoriously difficult, open problems in fields like commutative ring theory and learning theory. The human contributors then polish these solutions and use an automated agentic system to translate them into Lean, a computer language that rigorously double-checks the math for accuracy. It is a fascinating glimpse into how researchers are using AI pipelines to push the boundaries of human knowledge and automate mathematical verification.

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📦 htekdev/vidpipe

VidPipe

vidpipe is the command-line video editor that actually automates your entire social media production pipeline from a single raw recording. Instead of spending hours trimming dead air and resizing clips, you just feed this tool your video and let its AI agents handle the rest. It instantly transcribes the speech, cuts out awkward silences, burns in word-by-word karaoke captions, and crops everything into portrait, square, or wide formats. It even isolates the most engaging hooks to generate ready-to-publish shorts, complete with platform-tailored social posts and scheduling. Run a simple command, get back perfectly edited clips, and let the AI handle the tedious editing grind.

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📦 luo-yihao/atom3d

Atom3d

atom3d is the mesh processing library that brings hardware-accelerated speed to 3D deep learning. Instead of relying on slow, CPU-bound calculations to analyze 3D models, this tool moves the heavy lifting directly onto the GPU. It builds a fast spatial index of triangle meshes to calculate exact distances and detect intersections in a fraction of the time. The coolest part is its ability to extract clean 3D surfaces directly from sparse data grids while allowing neural networks to learn and adjust the shape automatically. It is a fantastic, lightweight way to bridge the gap between AI models and physical 3D geometry.

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📦 1broseidon/ketch

Ketch

Gather clean markdown from across the web, open-source codebases, and developer documentation using a single terminal command. This tool is built specifically for AI agents and terminal power users who need fast, stateless web research without complex setups or running background daemons. It lets you scrape web pages, crawl entire sitemaps, search open-source repositories, and pull curated library docs, automatically switching to a headless browser whenever it detects Javascript-heavy pages. You get beautifully structured markdown or clean JSON ready to feed straight into your LLM workflows. It is the perfect bridge for giving your AI tools reliable, real-time web access.

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📦 usedhonda/cc-status-bar

cc-status-bar

cc-status-bar is the native macOS menu bar app that finally brings sanity to monitoring your local AI coding sessions. If you use Claude Code or Codex, you know how annoying it is when a session pauses in the background waiting for your permission or input. This clever tool lives in your menu bar and uses simple color-coded alerts to tell you exactly when a session needs your attention. Even better, you can set a global hotkey or toggle autofocus, and it will automatically bring the exact terminal window or editor pane waiting for you right to the front. It is a brilliant way to keep your terminal-based AI workflow moving...

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📦 beetree/arc-agi

arc-agi

An advanced problem-solving system achieves an impressive seventy-six percent success rate on the highly challenging intelligence benchmark known as ARC-AGI-2. To crack these visual reasoning puzzles, the arc-agi framework uses a multi-model reflective reasoning approach. Instead of relying on a single AI model, it deploys a network of heavy-hitting models to write python code, generate visual representations of each puzzle, and break down complex grid transformations into structured physical objects. A dedicated council of logic and consistency judges then evaluates every reasoning path to choose the correct solution. It is a powerful demonstration of how deep, agentic reasoning can tackle tasks that require genuine abstract intelligence.

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📦 om-ai-lab/vlx-go

VLX-Go

Guide your robot through complex, crowded spaces using simple text instructions. Instead of relying on massive, slow AI models to narrate a scene, vlx-go is a remarkably efficient model that translates what a robot sees and your typed commands directly into physical movement. By processing a quick history of video frames and a command like follow that person, it predicts a precise sequence of short-term local coordinates for the robot to follow. Because it only has six hundred million parameters, it runs fast enough to dodge dynamic obstacles and correct its course on the fly, proving that smaller, smarter brains make for much nimbler robots.

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📦 telehuman/humanoidsoccer

humanoidsoccer

Teach humanoid robots to kick rolling soccer balls with human-like agility and precision using a smart training workflow. This project tackles the massive headache of making two-legged robots react to moving objects in the real world. Instead of trying to program every joint manually, it uses a clever progressive system. It first trains the robot to mimic human movements in a simulator, blends in visual perception so the robot can track the ball, and then prepares it for the chaotic physical world. It lets robots like the Unitree G1 master complex kicks on the fly, proving we are one step closer to actual robot soccer leagues.

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📦 scalytics/kafsiem

kafsiem

Transform raw operational data and public security feeds into an interactive, visual map of real-world events. Working with security telemetry usually means digging through endless text logs, but this tool connects the dots automatically. It maps out activity timelines, device states, and physical locations for teams tracking fleet operations, physical infrastructure, or global security events. You can visualize everything from drone flight paths to power grid sensors side-by-side with public geographical intelligence. By building a clear visual graph of how physical devices, software updates, and field events relate, it helps analysts instantly understand critical situations without getting lost in the noise.

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📦 ojowwalker77/bonsai

Bonsai

Capture your messy, half-formed thoughts on a native digital canvas and instantly transform them into perfectly structured prompts for coding agents. This native macOS app provides a spatial board of cards where you quickly sketch ideas and pull in live context from your open browser tabs, local files, and Xcode errors using simple keyboard shortcuts. The magic happens in the background, where an on-device semantic linter quietly analyzes your writing and highlights vague phrasing before you send it to an AI. When your ideas are clear, you can copy the refined prompt or let the built-in chat agent update your board live.

📰 https://news.ycombinator.com/item?id=48650631

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