Canny is a complete customer feedback platform that allows you to centralize, analyze, and prioritize feedback from various sources. It enables you to build roadmaps and share updates with your audience. With features like feedback collection, analysis, prioritization, and sharing, Canny helps you build better products by understanding and acting on customer needs. It offers integrations with tools like Jira, Salesforce, and Hubspot to connect feedback with the revenue impact and ensure your team's workflow is seamless.

ManasAI is a Python-based framework that enables the creation of autonomous AI agents with built-in state and modular components. It offers core abstractions for agent reasoning, short-term and long-term memory, external tool and API integrations, message-driven event handling, and multi-agent orchestration. Agents can be configured to manage context, execute tasks, handle retries, and gather feedback. Its pluggable architecture allows developers to tailor memory backends, tools, and orchestrators to specific workflows, making it ideal for prototyping chatbots, digital workers, and automated pipelines that require persistent context and complex interactions.

SCOUT-2 provides a modular architecture for building autonomous agents powered by large language models. It includes goal decomposition, task planning, an execution engine, and a feedback-driven reflection module. Developers define a top-level objective, and SCOUT-2 automatically generates a task tree, dispatches worker agents for execution, monitors progress, and refines tasks based on outcomes. It integrates with OpenAI APIs and can be extended with custom prompts and templates to support a wide range of workflows.

Pentagi is a no-code AI agent platform that lets you create, train, and deploy intelligent conversational agents for various business scenarios. Using its visual flow builder, you define intents, entities, and response actions. Integrations with external APIs enable dynamic data retrieval and automated task execution. Deploy your agents on web chat widgets, messaging apps, or mobile SDKs, then monitor performance through a built-in analytics dashboard to optimize conversations and agent effectiveness.