Transcription
Every day, developers and engineers build new AI tools and AI projects. And in this weekly project update video, we cover top trending AI tools and projects. These projects focus on productivity, automation, privacy, and real workflows that you can actually use. Without wasting time, let's get started.
Project number one, SLED. Voice control for your coding agents.
SLED is a voice-first AI agent layer that turns your phone into a remote control for coding assistance running on your own computer. You speak a task, SLED transcribes it, then securely routes it to tools like Claude Code, OpenAI Codeex, or Gemini CLI on your local machine, so your code stays private. It sends the agent's progress and results back to your phone, including spoken responses, so you can review changes, summaries, or test outcomes while away from your desk.
This matters right now because it blends real automation with hands-free workflow orchestration and safe local execution. Give it a run and watch automation unfold in real time.
Project number two, Colloquio Private on Device. AI Companion.
Colloquio is an AI companion app that runs entirely on your device without sending anything to the cloud. So your conversations and memories stay private on your phone. It downloads a local AI model once, then works offline with no internet connection required and keeps context and preferences in memory, so it feels natural and personal as you chat.
Colloquio does all its processing on your device, which avoids API costs and protects your data, and it even supports remembering your name, nicknames, and topics you care about. The app does not require an account and focuses on quick questions, brainstorming, or thoughtful conversation wherever you are, even without data. Give it a run and watch automation unfold in real time.
Project number three, Binary. AI assisted hiring and applicant tracking.
Binary is a modern ATS that uses AI to make hiring faster, simpler, and more efficient for startups and growing teams. It lets you create engaging application forms and then uses an AI assistant to pre-tag and review candidates so you spend less time reading every resume. Binary shows applications super fast, offers tools like video questions and keyboard shortcuts, and helps you send replies directly from the platform.
All data is encrypted in transit and at rest. And the product aims to keep your information secure while giving you insights quickly. Binary is for founders, recruiters, and HR teams who want to streamline hiring with AI support.
Project number four, Natto invisible AI notes and dictation overlay.
Natto is an AI assistant that works as an invisible overlay across your desktop so you can capture notes, dictate text, and interact with AI without switching apps. It captures spoken words and turns them into cleanly formatted text anywhere you work. And it takes detailed meeting notes instantly while you focus on your call.
The overlay also lets you access a minimal chat window that floats above your screen for quick questions and it keeps your flow uninterrupted as you stay in the zone. Natto's design suits knowledge workers, teams, and professionals who want AI help without breaking their work context and manual note-taking.
Project number five, Snaply AI on-device voice dictation for Mac.
Snaply AI is an AI tool for macOS that turns your spoken words into typed text across any app. So you can stop typing and just speak. It uses local AI models on your Mac to transcribe voice into text instantly while keeping all your data on your device and private. And it also offers real-time grammar fixes, tone adjustments, and translation into many languages.
Snaply works inside your favorite apps, lets you speak naturally to write faster, and helps you capture meeting notes, emails, or documents with minimal effort. This matters because it speeds daily workflows, avoids cloud processing costs, and protects your voice data. Give it a run and watch automation unfold in real time.
Project number six, Remo 2.0. AI personal knowledge management hub.
Remo is an AI knowledge management assistant that captures, organizes, and retrieves information so you spend less time searching and more time working. It builds a searchable personal knowledge base by auto-capturing web content, local files, emails, and other data. And then you can ask questions in natural language to get precise answers from your own information.
Remo uses a local-first design that stores your data on your device while still accessing large language models for deep insights so your private content stays secure. It works as an integrated desktop and browser assistant with features like summaries, smart organization, and intelligent search across everything you save. Remo is for professionals, researchers, and knowledge workers who juggle many sources of information and want faster clarity.
Project number seven, Vellum Enterprise. AI agent development platform.
Vellum is an AI agent platform that lets teams build, connect, and deploy AI workflows and agents using plain English or visual tools without heavy coding. It turns simple instructions into agents that pull data, call tools, and automate tasks across apps like Notion, Slack, Google Sheets, or Salesforce, and gives developers and teams control over every step with built-in orchestration, SDKs, and monitoring tools.
Vellum supports testing, evaluation, observability, and version control. So you can refine logic and ensure reliability before deployment. It matters right now because companies need safe and compliant AI automation with governance, security, role-based access, and flexible hosting options. Vellum is for engineers, product teams, and businesses who want faster AI development with visibility and governance.
Project number eight, Simple. Pleasant browser for PostGSQL data.
Simple is a database browser that helps you explore and interact with your PostGSQL data in a clear and simple interface. You connect your database with a standard connection string and Simple discovers your tables, columns, and relationships. So you can browse, search, and filter records without writing SQL.
It shows relationships and lets you edit fields in line, view schema diagrams, and navigate data with smooth controls that feel satisfying and easy to use. All database credentials stay local and encrypted on your machine, so sensitive information never leaves your system, and your data remains protected. Simple is for developers, analysts, and small teams who want a faster, friendlier way to look at their data.
Project number nine. Echimoira console M cp. AI access to search console data.
Echimoira console mcp is a hosted model context protocol server that connects Google Search Console data to large language models like Claude, ChatGPT, and Cursor. So you can ask natural language questions about your search performance without exporting CSVs or writing scripts. You link your Google account and Aamura handles the OAuth and secure connection, letting you query clicks, impressions, URL indexing, sitemap status, and property details using conversational prompts.
This bridges structured Search Console APIs to AI assistance with no local setup, which matters because it saves SEO teams time and avoids manual data downloads. Akamoira suits SEO professionals, marketers, and analysts who need fast insights from GSC through AI tools.
Project number 10, Langfinity. AI real-time business voice translation platform.
Langfinity AI is an AI translation platform that uses real-time voice agents to translate meetings and conversations across many languages for global teams. It captures spoken language from one person and instantly produces accurate, natural translations so participants can hear and understand each other without manual interpretation. And it learns company-specific terminology and jargon to improve translation quality over time.
Langfinity supports multi-language meetings and works with business conference workflows to provide transcripts, summaries, and searchable records of conversations. This matters because international teams need fast, reliable communication without language barriers. Langfinity AI is for businesses, event organizers, and global teams who want multilingual collaboration without extra steps.
Project number 11, Blockpad, real-time project management workspace.
Blockpad is a real-time project management workspace that brings tasks, documentation, and collaboration together so teams can plan and execute work without switching tools. It shows Kanban boards, lists, and a wiki in one place that updates instantly so changes appear live for everyone without refreshing. And contextual comments and mentions help keep discussions tied to work.
Blockpad runs in the browser with a fast underlying stack and Supabase real-time updates so your team stays in sync and your data stays secure, and it avoids mid-project paywalls or unexpected locks on your work. Blockpad is for modern teams, founders, and remote groups who want clear work context and smooth collaboration.
Project number 12, Known CLI. Persistent project context for AI.
Known CLI is an AI-first command-line tool that gives your AI agents persistent memory of your project context so you don't repeat the same setup every session. It works as a CLI-first knowledge layer that lets the AI read linked tasks and documentation automatically, resolve context like @doc or @task references, and include this information in prompts without manual copy-paste.
Known integrates with tools such as Claude Code, Cursor, Gemini CLI, and other AI assistance via the Model Context Protocol (MCP) so your agents understand project goals and conventions. It also includes task management, documentation tracking, built-in time tracking, and an optional web UI so developers and teams keep knowledge in sync. Known matters because it removes context friction and keeps documentation up to date as the AI learns.
Project number 13, Alpine. Unified AI-powered workspace platform.
Alpine is a team workspace that brings docs, tasks, chat, forums, and AI features into one connected app, so you spend less time switching between tools and more time focused on work. You get fast document editing, task tracking, contextual AI search, and a personalized feed that surfaces relevant updates. And Alpine uses models to improve search results across your work so you find the right content quickly.
All your tools live in one place with intelligent inbox sorting and integrated AI that understands context across docs and tasks, which helps teams stay in sync without extra apps. Alpine is for teams, founders, and professionals who want clearer collaboration with built-in AI assistants.
Project number 14, Aiden AI. Infrastructure for profitable AI agents.
Aiden AI is an AI-native infrastructure platform that helps teams deploy, govern, and scale autonomous agents with real-time financial control and operational insight. It links your agent fleet to a shared governance layer that tracks cost, usage, audits, and compliance, so you know exactly where every API call and dollar goes. And it offers SDKs that work with popular AI frameworks to monitor performance across models and tool calls.
Aiden provides cost metering, autonomous spend guardrails, audit-ready traceability, and integration tools that eliminate billing surprises and improve operational clarity. It matters right now because organizations building agentic services need predictable economics and compliance without manual oversight. Aiden is for engineers, operations leaders, and businesses that want to run AI agents with financial certainty and governance.
Project number 15, Stack Patch. CLI patches for production Next.js features.
Stack Patch is a developer CLI that adds production-ready features such as authentication, payments, and Reddis support directly into your existing Next.js app so you don't build them from scratch. You run simple commands like `npx stack patch add auth` and Stack Patch auto-detects your project structure, injects clean code where needed, and shows a file preview before applying changes, letting you own every line.
All generated code lives in your repo and is fully editable, so there are no black-box dependencies and you can customize later. Stack Patch matters because it speeds up feature integration and removes repetitive boilerplate for founders and developers building web apps.
Project number 16, Meeting Minutes. Instant AI capture and action.
Meeting Minutes is a feature within the Manis AI workspace that captures real-world conversations and turns them into structured, actionable outcomes with a single tap. You start a recording of any in-person meeting, interview, or monologue. And Manis analyzes the audio to produce clear summaries, identify speakers, and extract key to-dos, decisions, and discussion points.
It organizes this output into notes that become living context you can use immediately to create presentations, websites, or social media assets without switching tools. The processing continues even if your internet drops, and separate speaker names help assign action items accurately. This feature matters because it closes the gap between talk and execution, turning ideas into work that gets done for teams and professionals.
Project number 17, Local Mark Studio. Local-first markdown editor for privacy.
Local Mark Studio is a local-first markdown editor that runs in your browser and keeps your writing private by storing everything locally with no signup or cloud dependency. It gives you a real file tree to create folders and files, a command palette for quick actions, a split-pane live preview, and smart paste that turns rich HTML into clean markdown.
All documents stay in your browser's IndexedDB so you can work offline and control your own data. And you can export content as markdown, HTML, PDF, or JS when you're ready. It matters because many writers and developers want a fast, distraction-free editor without cloud lock-in.
Project number 18, Flight Follower. Ad-free real-time flight tracker.
Flight Follower is a flight tracking app that shows live aircraft positions, speed, altitude, and route details on a fast native map for aviation fans and plane spotters. It uses ADSB flight data from public sources to display nearby flights in real time and integrates with Siri so you can ask, "What plane is that?" and get instant identification, all without ads or accounts.
The app also provides live notifications and home screen widgets so you can see aircraft activity at a glance and track planes as they move across the sky. Flight Follower matters because it gives accurate, free flight tracking with smooth iOS interactions built for enthusiasts.
Project number 19, Stracti Noa. AI bot automation platform.
Stracti is a no-code AI automation platform that helps you build and run intelligent bots for games and desktop apps without writing code. It gives you a visual editor in the browser where you design bots that use vision-based AI detection to see interface elements. So they work like a human clicking and reading the screen instead of relying on APIs.
You create, preview, and manage your bots across devices with a desktop client that runs automation locally, and you get clear action history so you know what each bot did and why. This matters because it makes automation accessible to gamers, hobbyists, and creators who want to automate repetitive tasks without deep programming skill.
Project number 20, HAL 9. Generative AI platform for data and apps.
HAL 9 is a generative AI platform that helps founders and developers create, deploy, and scale AI-powered solutions without heavy custom engineering. The HAL 9 platform lets you build chatbots, APIs, apps, and agentic workflows using flexible, model-agnostic tooling that runs securely on any cloud or infrastructure you choose and integrates with Python and common libraries like Langchain.
You start with easy creation and expand to embed and customize AI features so teams get working product logic without reinventing core components. HAL 9 also offers managed support to help refine and launch your MVP quickly. This matters because startups and teams can go from idea to functional AI product with clear governance and fewer barriers.
Thanks for watching. See you in the next video.