LangBot is a self-hosted, open-source platform that enables seamless integration of large language models into multiple messaging channels. It offers a web-based UI for deploying and managing bots, supports model providers including OpenAI, DeepSeek, and local LLMs, and adapts to platforms such as QQ, WeChat, Discord, Slack, Feishu, and DingTalk. Developers can configure conversation workflows, implement rate limiting strategies, and extend functionality with plugins. Built for scalability, LangBot unifies message handling, model interaction, and analytics into a single framework, accelerating the creation of conversational AI applications for customer service, internal notifications, and community management.

Nefi.ai is a cloud-based platform for designing, training, and orchestrating AI-powered agents without writing code. It offers a visual canvas to assemble blocks like LLM modules, vector database retrieval, external API calls, conditional logic, and memory stores. Agents can be trained on custom documents or linked to enterprise data. Once built, they deploy as chatbots, email assistants, or scheduled tasks. Advanced features include monitoring dashboards, version control, role-based access, and integrations with Slack, Teams, and Zapier.

Adrenaline is an AI-powered programming assistant designed to help developers with their coding needs. Using sophisticated algorithms, Adrenaline can instantly answer coding questions, help debug issues, and provide learning resources. It's ideal for individual developers as well as teams, offering role-based access control and other collaborative features to streamline coding workflows. Whether you're a novice or an experienced programmer, Adrenaline aims to make your coding experience more efficient and productive.

Agentic-IAM leverages a large language model to transform natural language prompts into AWS identity and access management configurations. Users describe desired roles, permissions, and security requirements in plain English, and the agent crafts least-privilege IAM policies, builds CloudFormation templates, flags potential vulnerabilities, and optionally deploys changes via AWS APIs. Policy drafts can be reviewed, refined, and versioned automatically. Integration with AWS CLI and SDK ensures seamless end-to-end automation of IAM tasks, from initial design through application and audit.