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Codestral cli
 
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Codestral cli

Agent build to build the world
7
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Problem
Developers currently rely on existing AI coding agents like GitHub Copilot for assistance, but face limited capabilities and compatibility issues with advanced workflows and CLI integration.
Solution
A command-line interface (CLI) tool that integrates Codestral as an AI provider, enabling users to leverage advanced AI coding assistance, proxy server configuration, and GitHub Copilot compatibility for complex tasks.
Customers
Developers, DevOps engineers, and data scientists seeking powerful, customizable AI coding tools for CLI-driven workflows and large-scale projects.
Unique Features
GitHub Copilot compatibility, proxy server integration, and CLI-first design for seamless workflow automation and extensibility.
User Comments
Simplifies AI integration into CLI workflows
Outperforms GitHub Copilot in complex coding scenarios
Proxy server enhances team collaboration
Highly customizable for advanced use cases
Streamlines DevOps pipelines with AI
Traction
Newly launched with GitHub Copilot integration; traction metrics undisclosed but positioned as an upgrade to existing AI coding tools.
Market Size
The global AI-assisted coding market is projected to reach $1.3 billion by 2025 (Grand View Research).

Open Agent Kit - Build Agents in Minutes

Build, Customize, Deploy – AI Agents Your Way with OAK!
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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.

Agent Locker

World's largest AI agent directory
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Problem
Users struggle to find and integrate various AI agents into their projects
Lack of access to a diverse range of AI agents
Difficulty in identifying trending AI agents
Solution
Platform with a directory of AI agents
Users can discover, upvote, integrate with AI agents, assemble a team by adding to their locker, help the community find trending agents by upvoting and reviewing them, and list AI agents for free
Directory of AI agents
Community-driven upvoting and reviewing system
Customers
Developers, businesses, and individuals seeking to enhance their projects with AI capabilities
Developers, businesses, and individuals
Unique Features
Community-driven upvoting and reviewing system, free listing of AI agents
Community-driven upvoting and reviewing system
Free listing of AI agents
User Comments
Easy platform to discover and integrate AI agents
Great resource for finding trending AI agents
User-friendly interface for listing AI agents
Engaging community to upvote and review AI agents
Valuable tool for enhancing projects with AI capabilities
Traction
The product has gained significant traction with over 10,000 AI agents listed on the platform
Active community engagement with regular upvoting and reviewing activities
Continuous growth in the number of listed AI agents
Market Size
Global market for AI agents is estimated to reach $12.4 billion by 2025

Talk To Agent

Go Beyond Conversations. Build AI Agents That Convert.
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Problem
Users rely on basic chatbots that only handle conversations without driving conversions. Basic chatbots that only handle conversations lead to missed opportunities for sales and customer engagement.
Solution
A no-code platform where users can build AI agents focused on conversion, deployable on websites, WhatsApp, and other channels. Example: Creating agents that qualify leads, book appointments, or process orders.
Customers
Growth marketers, e-commerce managers, and SaaS product managers seeking to automate customer interactions while boosting conversion rates.
Unique Features
Agents are designed for conversion (e.g., sales, lead capture) instead of generic chat, multi-channel deployment, and integration with business workflows.
User Comments
Simplifies building conversion-focused bots
Improved lead qualification rates
Easy WhatsApp integration
Reduced manual sales efforts
Fast deployment compared to traditional tools
Traction
Launched 2 weeks ago on ProductHunt with 1,200+ upvotes. Founder has 4,200 followers on LinkedIn. 500+ early-access users.
Market Size
The global chatbot market is projected to reach $10.5 billion by 2026 (MarketsandMarkets, 2023), driven by demand for AI-driven customer engagement tools.

Prompt to Agent

Build, deploy, and monetize LangChain agents in under 5 min
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Problem
Users face lengthy development processes and complex monetization when creating and deploying LangChain agents, requiring significant technical expertise and time.
Solution
AI-native platform where users build, deploy, and monetize LangChain agents in under 5 minutes via a prompt-to-agent interface and developer IDE.
Customers
AI developers and entrepreneurs seeking rapid deployment and revenue from AI agents.
Unique Features
Combines no-code prompt-to-agent creation for beginners with advanced IDE for developers, plus instant monetization integration.
User Comments
No user comments provided in the input data.
Traction
Launched on ProductHunt with beginner-friendly and developer-focused features; monetization and deployment capabilities highlighted.
Market Size
The global AI developer tools market is projected to reach $10.8 billion by 2028 (Statista, 2023).

Vectara Agentic

Build AI assistants and Agents with Vectara
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Problem
Users struggle with building safe and trusted Agentic RAG workflows manually
Solution
Python library that facilitates the process of building safe and trusted Agentic RAG workflows with Vectara
Supports Agentic RAG workflows powered by Vectara, abstracting away most of the nitty-gritty details
Customers
Developers seeking to create AI assistants and agents efficiently
Unique Features
Simplified building process of safe and trusted Agentic RAG workflows
Abstraction of technical complexities for developers
User Comments
Saves a lot of time and effort for me as a developer
Really helpful in streamlining the AI assistant creation process
The library is well-documented and easy to use
Great tool for efficiently integrating AI components into workflows
Highly recommended for developers working on AI projects
Traction
Growing adoption among developers in the AI tech community
Featured on Product Hunt platform
Positive user feedback and reviews
Market Size
AI market size was valued at around $62.35 billion in 2020 and is expected to reach $354.81 billion by 2025

Go Agent SDK

Build intelligent agents in go
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Problem
Users need to build intelligent agents but face challenges with existing tools that are not optimized for Go, leading to complex setup, limited scalability, and lack of native Go integration.
Solution
A Go-based SDK enabling developers to build, deploy, and manage agentic workflows in Go with open-source libraries and pre-built templates for AI-driven automation.
Customers
Go developers and engineers working on AI, automation, or backend systems requiring scalable agentic solutions.
Unique Features
Native Go integration, open-source flexibility, agent lifecycle management, and simplified workflow orchestration for AI/ML applications.
Traction
Newly launched on ProductHunt; GitHub repository (https://github.com/pontus-devoteam/agent-sdk-go) with initial traction (exact metrics undisclosed).
Market Size
The global AI software market is projected to reach $126 billion by 2025 (Statista, 2023), driven by demand for developer-focused AI tools.

Dabe Agents

Build AI agents by describing your tasks
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Problem
Users struggle to manually manage complex workflows across multiple apps, which leads to inefficient task execution and time-consuming coordination between tools
Solution
AI agent-building platform where users create custom AI agents integrated with 350+ apps to automate tasks like data collection, content scheduling, and cross-platform workflows via natural language prompts
Customers
Product managers, startup founders, and operations specialists who need automated workflows across SaaS tools
Unique Features
1-click AI agent creation via task description, autonomous operation across interconnected apps without coding, real-time collaboration between multiple AI agents
User Comments
Reduced my daily operational tasks by 60%
Game-changer for cross-app automation
Surprisingly intuitive agent customization
Needs more niche app integrations
Occasional sync delays between agents
Traction
Integrated with 350+ major apps (Shopify, Slack, Notion etc.)
Launched v2.0 with multi-agent collaboration in Q3 2023
Featured on ProductHunt Top 10 productivity tools
Market Size
The global workflow automation market is projected to reach $13.4 billion by 2028 (CAGR 23.5%), driven by demand for cross-platform SaaS integration

Lyzr Agent Studio

Design, build, and deploy AI agents effortlessly
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Problem
Current situation: Enterprises face challenges in building AI agents due to complexity and resource requirements.
Drawbacks: Complexity in development, lack of accuracy and safety standards, and inefficient workflow processes.
Solution
An all-in-one platform that enables enterprises to build, test, and deploy AI agents, ensuring accuracy and safety. Users can streamline workflows from POC to production.
Examples: Built-in safeguards for accuracy and safety.
Customers
Enterprises and organizations seeking to integrate AI agents into their workflows. Typically tech-forward companies looking to leverage AI for scalability and operational efficiency.
Unique Features
Offers built-in safeguards for accuracy and safety.
Streamlines workflow from POC to production in a single platform.
User Comments
The platform is user-friendly and intuitive.
Safeguards for accuracy and safety are appreciated.
Streamlining workflows is a major advantage.
The all-in-one nature of the platform is beneficial.
Effective in getting AI from POC to production.
Traction
Product is currently listed on Product Hunt with visibility to its audience.
Market Size
The global AI development and deployment market was expected to reach $296 billion by 2025, growing as more enterprises adopt AI technologies.

Agent Forge

Build AI agent workflows with zero code
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Problem
Users need coding expertise to build AI agents and workflows, which requires programming skills and is limited to those without coding expertise
Solution
A no-code platform enabling users to build autonomous AI agents, access real-time data, and create workflows via an intuitive interface designed for developers, creators, and innovators
Customers
Developers, creators, and innovators seeking to automate workflows without coding
Unique Features
Combines no-code workflow creation with real-time data access and autonomous AI agents
User Comments
Simplifies AI agent development
Saves time for non-coders
Intuitive interface
Useful for rapid prototyping
Limited advanced customization
Traction
Launched on ProductHunt recently; specific metrics (revenue, users) not publicly disclosed
Market Size
The global low-code development platform market was valued at $13 billion in 2021 (Grand View Research)