Top AI Agent Projects : VibeiDE, Strawberry, AI Bridge, ManyAgents & Moli by Lexmount

Author: ManuAGI - AutoGPT Tutorials · Watch on YouTube

Video authored by the channel shown, not by IANIA; all rights belong to the creator. Transcript and summary generated automatically; the original-language content is preserved.

Original language: English

Original video: Top AI Agent Projects : VibeiDE, Strawberry, AI Bridge, ManyAgents & Moli by Lexmount · Channel: ManuAGI - AutoGPT Tutorials · 18:11 · Watch on YouTube

Topics: AI agents, Task and workflow automation, AI developer tools, AI content generation, Local and open-source models

Summary

This weekly roundup introduces 20 AI projects spanning coding agents, creative tools, browsers, automation, models, and privacy-focused assistants. Several projects help developers coordinate multiple coding agents, including Vibed, AI Bridge, and Many Agents, while others focus on agent-ready browser infrastructure and shared workspaces. The video also covers tools for generating and editing visuals, audio, and video, plus assistants for everyday tasks and local AI use. It concludes with projects for voice agents, private work memory, and fast text- or image-to-video generation.

Key points

Vibed, AI Bridge, and Many Agents provide ways to manage multiple coding agents in parallel, with task queues, workspaces, or orchestrators.
2G generates and edits musical samples from text, and also supports importing audio files.
SurgePics creates editable, layered visual assets, while Strawberry offers browser-based AI companions that work across signed-in websites.
N8N Chat UI helps users design and embed branded chat widgets for N8N workflows without code.
MiniMax M3.1 Flash is presented as a fast, lower-cost model for agentic work, coding, computer use, and cybersecurity.
Molly by Lexmount provides a cloud browser engine and related search, fetch, and agent services for developers.
Agentgrid.io gives people and agents a shared workspace with version history and scoped permissions.
The roundup includes local and privacy-oriented tools, including Llama, One Password for Agents, Side OS, and Shogun AI.
Other featured projects support proactive personal assistance, tool rankings, long-form video creation, non-technical product changes, and natural voice agents.

Chapters

Start	Chapter	Summary
00:00	Introduction and Vibed	The host introduces the weekly project roundup and presents Vibed, a desktop command center for parallel coding agents.
01:33	Creative tools and Strawberry	The video covers the 2G text-to-sample instrument, SurgePics layered visual editor, and Strawberry browser companions.
05:12	Agent coordination and N8N chat widgets	AI Bridge organizes coding agents and infrastructure, followed by a no-code tool for customizing N8N chat widgets.
07:48	Many Agents, MiniMax, and Kiwi	The roundup presents a multi-agent Mac app, the MiniMax M3.1 Flash model, and Kiwi, a proactive assistant that texts users.
10:53	Molly and shared agent workspaces	Molly provides cloud browser tools for agents, while Agentgrid.io lets people and agents collaborate on shared artifacts.
13:30	Local AI, secure access, and agent tools	The host covers local open models, password access for agents, voice control on Mac, and live rankings of agent tools.
15:34	Video, coding, and voice agents	The video introduces Movo AI for long-form video, Veer and Veer for product changes, and ElevenLabs real-time speech models.
17:07	Private memory and video generation	Shogun AI provides private work memory for Mac, and Flux 3 Max generates video from text or images before the roundup ends.

Quotes

Top trending AI agent projects this week. — 00:00

Your task records stay on your computer, and it never bills for tokens. — 01:33

Many agents, one Mac window. — 07:48

Everyone, human or agent, works on one file in one place with shared context, controlled access, and full version history. — 12:29

Models run offline, so your data stays on your machine. — 14:00

Concepts and entities

Vibed, 2G, SurgePics, Strawberry, AI Bridge, n8n chat UI, Many Agents, MiniMax M3.1 Flash, Moli, Lexmount, Agentgrid.io, Llama, Monad, Movo AI, ElevenLabs real-time, Shogun AI, Flux 3 Max

Full transcript (original language)

00:00 Everyday developers build new AI tools, and this is our weekly project update video. Top trending AI agent projects this week. You will discover trending AI tools and projects, all in one quick video. Without wasting time, let’s get started. >> Before we jump into today’s project updates, here’s a quick announcement for everyone. We’ve launched a brand new YouTube channel called AI Agent Studio, dedicated entirely to AI agent projects, tutorials, and tools. So, if you’re

00:30 interested in staying up-to-date with the latest AI agent open-source projects, learning how to build your own agents, or exploring cutting-edge agent frameworks, make sure to check it out. Subscribe now to get weekly videos, in-depth guides, and real-time project breakdowns. The link is right there in the description. Don’t miss it. All right, let’s get into today’s video. >> Project number one, Vibed, run coding agents in parallel. Review each Vibed is a desktop command center for running coding agents across your projects. It

01:02 solves the tab juggling of managing several agents in separate terminals, where work stalls and results get lost. You bring your own Claude code, Codex, or open code, and sign in with your own subscription. And for each task, Vibed opens a real terminal in the right project and starts your agent. You queue work across projects, so several agents run at once while the next task waits, and you watch them all in one view as an animated office or a battery-friendly grid instead of switching windows. Each project keeps its own color-coded queue.

01:33 Provider limits show at a glance, and one task maps to one session you can resume anytime. Every result waits for your review before it is done, since reviewing is the job now. Your task records stay on your computer, and it never bills for tokens. It runs on macOS and Windows. It is built for developers and solo founders. Download it with a 14-day free trial. Project number two, 2G, a tiny neural sampler from text. 2G is a sampler instrument inspired by early 2000s mobile phones that generate

02:04 sounds from a description. It solves the hunt for the right sample, letting you make the sound in your head instead of digging through libraries. You describe a sound, its neural synthesis generates the audio, and you edit it and play it across your keyboard. It analyzes the sample for you, comparing timbre, volume, and vibrato to suggest up to three loop points for smooth sustained notes, and measuring pitch to auto-correct tuning, or mark a sample as unpitched. You trim the start and end, shape attack and release, and adjust brightness, detune, noise, quality, and

02:37 formant, and a small speaker simulation models the narrow range and voice coil heating of a handset in 16 kHz mono, switchable off. You can also import and edit your own wave, AIFF, FLAC, or MP3 files, which uses no credits and works offline. Generated sounds are royalty-free for your music. It runs on Windows and macOS as a VST3, AU, or standalone. It is built for music producers. Get 2G free. Project number three, Nince SurgePics, generate AI

03:08 visuals, then edit every layer. SurgePics is an AI visual platform that generates images, decks, carousels, and posters, then lets you edit every layer. It solves the dead end of flat AI output, where changing one word or moving a logo means regenerating the whole image and losing the parts you liked. You describe what you want, and the AI generates it. Then it hands you a layered Photoshop-like canvas. Reword a headline, swap a chart, restyle one slide, or lock a product shot and logo

03:39 in place while everything else changes. So, edits stay contained, and your brand stays consistent. It produces posters, presentations, CVs, diagrams, infographics, social posts, and banners, and exports a finished, publish-ready result like PPTX or PNG with no design skills needed. It also offers agent skills and an image processing API. So, Claude, Code, Cursor, Codex, or any skill MD agent can generate decks, remove backgrounds, translate on-image

04:10 text, and inpaint. It is built for creators, marketers, and developers. Describe a visual and start. Project number four, Strawberry 1.0, a browser with built-in AI teammates. Strawberry is a browser with built-in AI companions that take real work off your hands. It solves the copy-paste grind of chatbots, where you move answers between tabs, turn them into results by hand, and re-explain your work each time. Because it is a browser, it serves as a shared workspace. It sees what you are looking

04:40 at and acts inside the accounts you are already signed into across all 1.8 billion websites, even behind login walls. Companions learn your habits and handle tasks end-to-end, like sourcing qualified leads, enriching a spreadsheet from a thousand records, transcribing meetings without a bot, building branded decks, and running recurring work on autopilot. You hire ready-made companions or build your own, and it connects the apps your work runs on, carrying memory and context into the next task. It asks before irreversible

05:12 actions, keeps passwords encrypted on your device, and meets SOC2 and GDPR. It runs on macOS and Windows with a free tier. It is built for sales, recruiting, research, and founders. Download the desktop app free. Project number five, AI Bridge, run your coding agents like a team. AI Bridge is a Mac app that runs your AI coding agents like a team, each in its place with its own job. It solves the chaos of juggling several agents in scattered terminals, where context bleeds between them, and you lose track

05:43 of which one needs you. You organize work as projects and workspaces, So, a project is the business with instructions that reach every agent, and a workspace is one area of responsibility with its own rules, files, repos, and tools. So, each agent already knows the job. Every agent is the real Claude code, Codex, Grok, or open code CLI in a real terminal with a state bridge tracks working needs you ready or asleep, and you pick any up tomorrow where it stopped. One inbox

06:14 gathers everything that asks for you. A grid keeps your key sessions on one wall, and it puts your Kubernetes clusters, Postgres, and MongoDB databases, and Slack channels beside your agents with rights and replies waiting for your approval. Everything runs on your Mac as plain YAML and markdown you own with no telemetry. It is built for developers and their teams. Join the waitlist. Project number six, N8N chat UI. Custom chat widgets for N8N workflows. N8N chat UI is a tool for

06:44 designing branded chat widgets for your N8N workflows and embedding them anywhere. It solves the limits of N8N’s default chat widget, which looks generic, resists branding, and needs HTML, CSS, and JavaScript to change. You customize a widget in three steps with no code. Style the bubble, tooltip, and window to match your brand. Connect it to your N8N workflow, and copy paste it onto any site with changes shown live and a mobile-friendly design by default. You can also customize it in plain language by connecting Claude or another

07:16 AI tool to its MCP server. Widget support file uploads with your own type and size limits, voice messages, and real-time streaming that turns on automatically when enabled in N8N, and appear as a floating bubble or embedded in the page. Ready-made recipes cover lead capture, booking, support, and knowledge bases with plugins for Webflow, Wix, and WordPress. It is built for N8N users and makers. Design your widget free with 100 credits. Project number seven, many agents, many coding

07:48 agents, one Mac window. Many agents is a native Mac app that runs a team of Claude code and Codex agents at once. It solves the sprawl of managing many agents in separate terminals where work collides and questions go unseen. You tell an orchestrator what you want and it splits the request into tasks, opens a tab for each and tracks who is doing what. Running on the Claude code and Codex plans you already have, so there is no extra AI bill. Workers each build one task in its own Git work tree, so they never trip over each other.

08:20 Thinkers are called in for hard design decisions and reviewers check finished work read only on a different provider to catch what self-review misses. Your app runs in a built-in browser beside the chat where agents click through flows, fill forms and test for you or an iOS simulator for iPhone apps. Every decision an agent needs lands in one need queue list with its recommendation and a card view shows each agent’s state with the ones waiting on you on top. Code stays on your Mac with no analytics. It runs on macOS. It is built

08:51 for developers. Download it free for 14 days. Project number eight, MiniMax M3.1 flash. Fast, low-cost model for agentic work. MiniMax M3.1 flash is a next-generation flash model built for agentic tasks, coding, computer use and cybersecurity. It targets the tradeoff where capable models are too slow or expensive to run agents at scale, making online inference several times faster and cutting usage costs sharply against its predecessor. It completes real

09:21 enterprise workflows across SAS systems end-to-end, handling sales, marketing, operations, support, finance and HR and holds up on multi-step planning, consistency across files and chain tool calls. On software tasks, it independently understands code, builds features, fixes issues, and validates through testing across long sequences. And it interacts with real environments to carry out cross-application computer use tasks. It also audits code, patches vulnerabilities, and supports penetration testing and reverse

09:53 engineering at low cost. More aggressive sparsity drives its high output speed. It is available through the MiniMax API, the M plan, and MiniMax code with open weights to follow. It is built for developers and teams running agents. Try it through the API or MiniMax code. Project number nine, Kiwi, a proactive assistant that texts you first. Kiwi is a proactive AI assistant that notices what needs doing and texts you before you ask. It solves the pull of small tasks, the flights, bills, replies, and

10:23 birthdays that keep dragging you back to your phone, and often wait until too late. It reads your calendar and email to know what is coming up, then texts you once at the right moment with the small jobs already done. It reminds you before a call with the link, spots a delayed flight, and offers to book a car for when you land, or notices a free afternoon and offers to plan it. Say yes, and it books, orders, and replies for you on any app or website, showing the price first and confirming only once the company does. You stay in control.

10:53 Anything that costs money or speaks for you waits for your yes. Passwords stay encrypted and unseen, and nothing in an email or website can instruct it. It connects to Google Calendar, Gmail, Outlook, Slack, WhatsApp, Spotify, Uber, and more. Reached in messages, WhatsApp, or the app. It is built for busy people. Sign up in a minute. Project number 10, Molly by Lex Mount, cloud browser engine built for agents. Molly is a browser engine built from scratch for AI agents, served through Lex Mount’s cloud browser

11:25 platform. It solves the overhead of giving agents a browser, where Chrome is heavy to start and run, and the surrounding infrastructure is yours to maintain. Moly starts faster and uses less memory than Chrome, and Lex Mount runs isolated browser sessions with proxy support while handling the infrastructure. You control sessions from your code, and the platform pairs it with a web search API that turns a query into ranked links, a web fetch API that turns a URL into structured content, and an agent product you delegate a whole browser task to. Moly

11:57 suits structure-first work like reading the doc, text and links, submitting forms and capturing screenshots. While Chromium is available for persistent contexts, extensions, and compatibility-sensitive tasks. Live sessions are inspectable with console, network, and snapshot views, and you connect over an SDK, the API, your coding agent, or Playwright. It is built for developers building agents and web automation. Try it in the playground or create a free account. Project number 11, agentgrid.io,

12:29 share drive for humans and agents. Agentgrid.io is a shared workspace where people and AI agents work on the same live artifacts. It solves the scatter of handoffs, where every exchange spawns another copy, and nobody can say which version is current. Everyone, human or agent, works on one file in one place with shared context, controlled access, and full version history. So, there is one source of truth instead of V26 final final passed around. You work with your agent wherever you already are. Ask it

13:00 to share the artifact, whether a doc, deck, app, or design, and bring in your team and other agents, who all open the latest version with the same context. Agents authenticate as agents and get scoped, revocable permissions set per agent and per folder, from read to write, modify, and publish. Everything versions and diffs like code, identity travels with each suggestion and approval, and every revision has a history. It works with Claude, chat GPT, Codex, open claw, Hermes, cursor, and

13:30 more and is SOC2 secured. It is built for teams working alongside agents. Start your first shared artifact. Project number 12, llama. Run open AI models on your own PC. Llama is a free open source app that runs open AI models on your own computer. It lives in the system tray, picks models that fit your PC, and sets each one up automatically. You can chat in your browser or connect coding agents, editors, and apps through a local API that works like open AI’s.

14:00 Models run offline, so your data stays on your machine. Developers and privacy-minded users avoid API bills. Download it for Windows 11. Project number 13, one password for agents. Agents log in without seeing your passwords. One password for agents is a secure login layer that lets personal AI agents sign in without seeing your passwords. When an agent reaches a login screen, it asks for access. You approve or deny the request on your own device. Then one password fills in the password

14:30 or one-time code directly and the agent continues its task. It works with supported agents like Muse and is included in individual and family plans. Join the wait list. Project number 14, side OS. Voice-controlled AI agent in your Mac’s notch. Side OS is an AI agent that lives in your MacBook’s notch and controls your Mac by voice. Hold two keys, say what you want, reads your screen, opens apps, clicks, types, and reports back. It works with Claude, open AI, Gemini, or Grok using your own API

15:03 key or with a local model offline. Dictation, meeting transcripts, and history stay on your Mac. Mac users get hands-free work. Download it for macOS. Project number 15, agent hunt. Live rankings of the tools agents use most. Agent hunt is a live ranking of the tools AI agents use most powered by Monad. Tools are ranked by completed calls agents make through Monad, and rankings update daily. Monad lets agents discover, compare, and pay for tools at runtime with one integration. Monad is

15:34 open source, there are no per-tool sign-ups, and no markup. Developers see which tools agents actually use. Explore the rankings. Project number 16, Movo AI, AI video agent for long-form storytelling. Movo AI is an autonomous video agent that turns ideas, references, and assets into complete long-form videos through conversation. It writes scripts, builds storyboards, generates scenes, and assembles the final video. It keeps characters, products, and styles consistent across

16:05 scenes. It builds on models like SeaDance, Nano Banana Pro, GPT image, and Eleven Labs. Creators spend less time switching tools. Try it free on web or mobile. Project number 17, Veer and Veer, AI coding agent for non-technical teams. Veer and Veer is an AI coding agent that ships changes to your existing product without waiting on developers. You describe a task in any language, approve a plan, and Veer and writes the code on a safe copy of your GitHub project. It opens a pull request

16:36 with an execution report and a live preview of front-end changes. Your code is never stored or used for training. Non-technical teams ship small changes, and developers review each one. Start free. Project number 18, Eleven Labs real-time, speech-to-speech models for natural voice agents. Eleven Labs real-time is a family of speech-to-speech models that help developers build natural voice agents. It tunes speech recognition, turn-taking, the language model, and voice as one system. Mini suits natural

17:07 conversations, and Max handles complex tasks and tool calls. You use it in Eleven agents or through an OpenAI compatible real-time API, then deploy to phone, web, or WhatsApp. It supports over 90 languages and zero retention mode. Build your first voice agent today. Project number 19 is Shogun AI, private AI memory for your Mac work. Shogun AI is a private AI memory assistant for Mac that remembers your work across email, meetings, documents, and calendar. You ask what was decided

17:39 and see where the answer came from. It also takes meeting notes and writes replies in your voice. Memory is stored encrypted on your Mac and only the context a request needs is sent to an AI provider. Founders and busy teams stop repeating themselves. Try the free trial. Project number 20 Flux 3 Max, fast text and image to video generation. Flux 3 Max is a video generation model from Fail Research and Black Forest Labs. It turns text prompts or images into video at 720p. A 10-second clip

18:11 comes back in about 12 seconds. It is tied for first in image to video quality on a preliminary artificial analysis ranking. Developers call it through the Fail API. Switch models by changing one ID and pay per second with no subscription. Try it in the playground. Thanks for watching. See you in the next video.