LemonAI
Alternatives
0 PH launches analyzed!
Problem
Users rely on closed platforms like Manus and Genspark for AI agent solutions, facing high costs and lack of data privacy due to proprietary models and infrastructure.
Solution
An open-source AI agent platform where users can deploy private, cost-effective AI agents with self-evolving capabilities and a community-driven Agent Store, enabling tasks like research, coding, and data analysis in a sandbox environment.
Customers
Developers, data scientists, and tech startups seeking customizable, privacy-focused AI solutions with lower operational costs.
Unique Features
Open-source architecture, self-evolution through usage, standalone deployment for data privacy, VM Sandbox for secure execution, and community-driven Agent Store for skill sharing.
User Comments
Praises open-source flexibility
Highlights cost savings vs proprietary tools
Values data privacy controls
Appreciates community skill-sharing
Notes steep learning curve for non-technical users
Traction
Launched on ProductHunt (exact stats unavailable), positioned as 1/10th cost of alternatives, leverages popular open LLMs like DeepSeek and Kimi.
Market Size
The global AI developer tools market is projected to reach $12 billion by 2028, driven by demand for customizable, cost-efficient AI infrastructure.
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.
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).
xpander.ai | Full Stack for AI Engineers
Backend and Frontend for your AI Agents
447
Problem
Users face limitations with existing workflow automation platforms that aren't really agentic, agent frameworks that do not help deploy and run your agent, and overly basic tools that are too opinionated and basic.
Solution
A full-stack Agent Platform enabling users to deploy and run scalable AI agents with both backend infrastructure and customizable frontend interfaces, supporting integrations like Slack and webhooks.
Customers
AI developers, engineers, and product managers building AI-powered workflows requiring scalable deployment and management tools.
Unique Features
Combines agentic automation with production-grade deployment, offering flexibility for custom use cases without restrictive templates.
User Comments
Solves deployment bottlenecks
Simplifies agent scaling
Flexible for unique needs
Integrates seamlessly with existing tools
Reduces development time
Traction
Newly launched (exact metrics undisclosed), positioned to address the growing demand for enterprise AI agent solutions.
Market Size
The global AI market is projected to reach $1.3 trillion by 2032, driven by demand for scalable agentic solutions.
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%.
SuperOptiX AI
Full Stack Agentic AI Framework
3
Problem
Users manually design and deploy AI agents without a structured framework, leading to inefficient development, lack of rigorous testing, and suboptimal agent performance
Solution
A Full-Stack Agentic AI Framework enabling users to design production-grade AI agents with declarative specs, BDD/TDD evaluation, DSPy-powered optimization, and multi-agent orchestration
Customers
AI engineers, ML developers, and product managers in tech companies building complex AI agent systems
Unique Features
Integrates DSPy for optimization, combines BDD/TDD methodologies for AI agents, and provides end-to-end orchestration for agentic workflows
User Comments
No user comments available from provided data
Traction
Newly launched on Product Hunt (specific metrics unavailable from given data)
Market Size
The global AI development platforms market is projected to reach $4 billion by 2023 (MarketsandMarkets)
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.
Open-source agent development engine
Deploy agents and Slackbots directly from your terminal
12
Problem
Developers manually code and deploy AI agents from scratch, leading to time-consuming setup and lack of integrated deployment tools.
Solution
An open-source engine (terminal/Slackbot-integrated tool) enabling developers to build, test, and deploy custom AI agents from the terminal with pre-configured workflows and Slack integration.
Customers
Developers, DevOps engineers, and engineering teams working on AI automation and CI/CD pipelines.
Unique Features
Terminal-first CLI, Slackbot deployment, open-source extensibility, and batteries-included testing frameworks.
User Comments
Simplifies agent deployment
Saves hours of setup time
Slack integration boosts productivity
Open-source flexibility is a plus
Steep learning curve for non-devs
Traction
Open-source with 1.2k GitHub stars, featured on Product Hunt (exact metrics undisclosed), active community contributions.
Market Size
The global $15 billion DevOps tools market (Grand View Research 2023), with AI automation tools growing at 24% CAGR.
GoCodeo SaaS Builder
An open-source AI agent that builds full-stack SaaS apps
207
Problem
Users manually code full-stack SaaS apps from scratch, facing time-consuming boilerplate setup and complexity in integrating frontend, backend, and database layers.
Solution
An open-source AI-native framework enabling users to generate production-ready SaaS apps from prompts via autonomous agents, e.g., creating a CRM app with Next.js, FastAPI, and PostgreSQL with one command.
Customers
Developers, startup founders, and SaaS product managers needing rapid prototyping without deep coding expertise.
Unique Features
End-to-end automation via AI agents, open-source customization, one-command deployment, and pre-configured CI/CD pipelines.
User Comments
Saves weeks of development time
Eliminates repetitive boilerplate coding
Requires minimal technical input
Ideal for MVP launches
Limited customization for niche use cases
Traction
Launched on ProductHunt (date unspecified), GitHub repository available, exact user/MRR data unconfirmed but positioned in the $10B+ low-code market.
Market Size
The global low-code development platform market is valued at $10.3 billion in 2023 (Gartner).
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.