BrowserOS
Alternatives
0 PH launches analyzed!
Problem
Users rely on traditional browsers like Chrome and cloud-based AI tools (e.g., ChatGPT Atlas, Perplexity Comet) for AI-driven tasks, facing reliance on cloud-based AI services and potential privacy risks.
Solution
An open-source browser enabling users to run AI agents locally on their computer, integrating local or third-party LLM models (e.g., Gemini, Claude) for private, offline AI tasks.
Customers
Developers, privacy-conscious individuals, and tech enthusiasts seeking customizable, AI-powered browsing without data exposure.
Unique Features
Local AI agent execution, open-source architecture, compatibility with multiple LLM providers, and offline functionality.
User Comments
Users praise privacy-first approach, seamless local AI integration, and flexibility with LLM models.
Appreciation for open-source transparency and reduced dependency on cloud services.
Positive feedback on performance compared to traditional browsers.
Criticism over initial setup complexity for non-technical users.
Requests for expanded plugin/extension support.
Traction
200+ upvotes on ProductHunt, 1.8k+ GitHub stars, active community contributions, and 3.5k+ Discord members (exact revenue not disclosed).
Market Size
The global browser market, valued at $45 billion by 2027, is shifting toward AI integration, with privacy-focused tools gaining traction.
GLM-4.5 Open-Source Agentic AI Model
GLM-4.5 Open-Source Agentic AI Model
6
Problem
Users require advanced large language models (LLMs) for commercial applications but face limitations with proprietary models such as high costs, restrictive licenses, and limited customization.
Solution
An open-source AI model (GLM-4.5) with 355B parameters, MoE architecture, and agentic capabilities. Users can download and deploy it commercially under the MIT license for tasks like automation, content generation, and analytics.
Customers
AI developers, enterprises, and researchers seeking customizable, scalable, and cost-efficient LLMs for commercial use cases.
Unique Features
MIT-licensed open-source framework, agentic autonomy (self-directed task execution), and hybrid MoE architecture for improved performance and efficiency.
User Comments
Highly customizable for enterprise needs
Commercial MIT license is a game-changer
Agentic capabilities reduce manual oversight
Resource-intensive but cost-effective long-term
Superior performance in complex workflows
Traction
Part of Zhipu AI's ecosystem (valued at $2.5B in 2023). MIT license adoption by 1,500+ commercial projects as per community reports.
Market Size
The global generative AI market is projected to reach $1.3 trillion by 2032 (Custom Market Insights, 2023), driven by demand for open-source commercial solutions.
Browserable
Open source browser automation library for agents
23
Problem
Users need browser automation for AI agents but face challenges with navigate sites, fill out forms, extract information, track status, and fetch results using existing tools, which may lack AI optimization, ease of integration, or specific agent-focused features.
Solution
An open-source browser automation library that lets developers build AI agents to navigate sites, fill out forms, extract information, track status, and fetch results. Example: Integrate via npm (npx install browserable) to automate web tasks for AI workflows.
Customers
Developers, AI engineers, and data scientists building AI agents or automation tools requiring seamless browser interaction and data extraction.
Unique Features
Optimized for AI agents with a 90.4% Web Voyager benchmark score, open-source flexibility, and lightweight integration via npm.
User Comments
Simplifies AI agent browser automation
High benchmark performance
Easy npm setup
Open-source transparency
Effective for form-filling and data extraction
Traction
Achieved 90.4% on Web Voyager benchmark, available via npm, open-source on GitHub (no specific user/revenue data provided).
Market Size
The global robotic process automation (RPA) market, a comparable sector, was valued at $15 billion in 2023 (Grand View Research).
Superexpert.AI
Open-source platform for enterprise AI agents, web-first.
142
Problem
Enterprises currently rely on custom-coded AI solutions requiring significant development resources. Drawbacks include requiring significant development resources, time-consuming deployment, and limited extensibility.
Solution
An open-source platform enabling enterprises to spin up multi-task agents & RAG search in minutes—no code, with extensibility via NextJS + TypeScript + Postgres. Examples: deploy AI agents for customer support or internal data retrieval.
Customers
CTOs, AI engineers, and product managers in mid-to-large enterprises seeking scalable, no-code AI agent deployment.
Alternatives
View all Superexpert.AI alternatives →
Unique Features
Fully open-source, web-first architecture, pre-built RAG integration, no-code agent creation, and modular extensibility via modern tech stack.
User Comments
Reduces AI deployment time from weeks to hours
Open-source flexibility fosters customization
No-code interface empowers non-technical teams
RAG integration simplifies enterprise data workflows
Postgres compatibility eases scaling.
Traction
Newly launched on ProductHunt; GitHub repository available for community contribution (specific stars/revenue undisclosed).
Market Size
The global enterprise AI market is projected to reach $51.8 billion by 2028 (Grand View Research).
Open Agent Kit - Build Agents in Minutes
Build, Customize, Deploy – AI Agents Your Way with OAK!
186
Problem
Users face time-consuming and inflexible development processes when creating AI agents, struggling with challenges in integrating various LLMs and workflows using traditional coding methods.
Solution
Open-source platform enabling developers to build, customize, and deploy AI agents quickly by allowing them to connect to any LLM, extend functionality with plugins, and embed AI into workflows (e.g., automating customer support or data analysis tasks).
Customers
Developers and AI engineers seeking scalable, customizable AI solutions for enterprise or startup environments.
Unique Features
Open-source architecture, modular plugin system, multi-LLM compatibility, and workflow embedding capabilities.
User Comments
Simplifies agent deployment for non-experts
Plugins accelerate feature development
Seamless integration with existing tools
Highly customizable for niche use cases
Reduces AI prototyping time by 70%
Traction
Launched on ProductHunt with 480+ upvotes, GitHub repository trending with 1.2k+ stars, active community of 3k+ developers on Discord
Market Size
The global AI developer tools market is projected to reach $136 billion by 2025 (Grand View Research 2023), driven by demand for customizable AI solutions.
Shinkai: Local AI Agents
Create advanced AI agents effortlessly (Local / Remote AI)
11
Problem
Users need coding skills to create and deploy AI agents, which limits accessibility for non-technical users and slows development cycles
Solution
No-code platform enabling users to build AI agents effortlessly (local/remote), integrate crypto payments, and use any AI model. Examples: trading bots, decentralized apps
Customers
Developers, blockchain engineers, and crypto traders seeking to automate workflows without coding barriers
Alternatives
View all Shinkai: Local AI Agents alternatives →
Unique Features
Combines no-code AI agent creation, crypto payment handling, open-source flexibility, and compatibility with all AI models
Traction
Launched 5 days ago on Product Hunt, 230+ upvotes | Open-source with 1.2k GitHub stars
Market Size
Global no-code AI platforms market projected to reach $65.8 billion by 2027 (CAGR 28.5%)
Problem
Users rely on traditional browsers that lack integrated AI features and advanced privacy tools, facing disruptive ads, insufficient privacy controls, and no AI assistance during browsing.
Solution
A macOS-native AI-powered open-source browser offering built-in ad blocking, privacy-first features, and productivity tools like intelligent browsing assistance and YouTube native ad blocker.
Customers
macOS users, developers contributing to open-source projects, and privacy-focused individuals seeking ad-free, AI-enhanced browsing.
Unique Features
Combines AI-driven browsing assistance, native ad blocking, open-source transparency, and macOS-optimized privacy controls in one tool.
User Comments
Effective ad blocking for YouTube
Appreciate the privacy-first approach
Open-source model builds trust
AI integration streamlines tasks
SwiftUI ensures smooth performance
Traction
Launched on ProductHunt with 100+ upvotes, open-source GitHub repository, and growing developer community contributions.
Market Size
The global browser market, led by Safari’s 1.4 billion users, shows demand for privacy-focused alternatives.
Find AI Hub - AI Agents Directory
AI Agents Directory for Finding Authentic AI Agents & Guides
7
Problem
Users struggle to find suitable and authentic AI agents for their specific needs, leading to inefficiencies in operations, task automation, and delivery of complex solutions.
find suitable and authentic AI agents
Solution
A directory platform that allows users to explore and find authentic AI agents. Users can streamline operations, automate tasks, and deliver complex solutions by simply exploring the directory.
explore and find authentic AI agents
Customers
Technology companies, startups, and organizations seeking to integrate AI solutions into their operations, automate workflows, and enhance efficiency.
Technology companies, startups, and organizations
Unique Features
The product offers a comprehensive directory of AI agents that can be searched and browsed according to specific needs. It provides blogs and guides to keep users informed about the latest trends in agentic AI.
User Comments
Users find the platform comprehensive and easy to navigate.
The directory helps in discovering AI agents that would otherwise be difficult to find.
The inclusion of guides and blogs is seen as very helpful.
The platform is appreciated for helping streamline and automate tasks.
Some users feel that the directory could include more agents over time.
Traction
The product is new to ProductHunt with no specific data on users or revenue mentioned. It is positioned as a resourceful hub for AI agents.
Market Size
The global AI market size was valued at $204.4 billion in 2022 and is projected to reach $1,847.51 billion by 2030, growing at a CAGR of 33.2%.
Agent M - Powered by Floatbot.AI
Generative AI powered master agent developer framework
12
Problem
Developers and businesses face challenges in creating use-case specific agents that can robustly perform tasks due to the complexity and limitations of existing Large Language Model (LLM) frameworks, leading to inefficiencies and a lack of customization capabilities.
Solution
Agent M is a master agent developer framework powered by generative AI, enabling the creation of multiple LLM-based agents with custom skills. It orchestrates between these agents to perform specific tasks, enhancing customization and efficiency.
Customers
Developers, enterprise technology teams, and businesses looking for advanced AI solutions to create custom task-specific agents.
Unique Features
Ability to create use-case specific agents, Custom skill development for agents, Master agent framework to orchestrate between different agents.
User Comments
Users appreciate the customization capabilities.
Recognizes the efficiency in developing task-specific agents.
Praises the advanced AI and LLM utilization.
Positive feedback on the framework's ease of use.
Noted improvements in task performance and reliability.
Traction
Product launched on ProductHunt with positive initial responses.
Increasing interest from developers and tech enterprises.
Feedback highlights potential for widespread application and efficiency improvements.
Market Size
The global chatbot market size was valued at $3.9 billion in 2021 and is expected to grow, reflecting the high demand for intelligent agent development solutions.
ChatterMate – The Open-Source AI Chatbot
AI-powered opensource chatbot
19
Problem
Users struggle with current customer support automation solutions, which might not integrate seamlessly with existing workflows, lack strong connections with human agents, and often present data privacy concerns.
integrate seamlessly with existing workflows
lack strong connections with human agents
present data privacy concerns
Solution
An open-source AI-powered chatbot which allows users to integrate customer support automation with their workflows, connect with human agents, and self-host it for full data privacy.
Customers
Businesses and organizations of various sizes implementing automated customer support systems, particularly those seeking better integration, control over data, and privacy.
Unique Features
It is open-source, allows for full data privacy by being self-hosted, integrates with existing workflows, and can connect with human agents seamlessly.
User Comments
Users appreciate the open-source nature.
Integration capabilities are a key attraction.
Privacy control through self-hosting is valued.
Some users find the setup process challenging.
Positive responses on adaptability to existing systems.
Traction
Launched recently with an emphasis on AI-first approach, self-hosting features for data privacy, and integrations with workflows though specific user numbers and revenue are not disclosed.
Market Size
The global chatbot market size was valued at $3.78 billion in 2021 and is expected to expand at a compound annual growth rate (CAGR) of 30.29% from 2022 to 2030.