AutoGen Integrations

Industry-leading developer platform to test and debug AI agents. We built the tools so you don't have to. Visually track events such as LLM calls, tools, and multi-agent interactions. Rewind and replay agent runs with point-in-time precision. Keep a full data trail of logs, errors, and prompt injection attacks from prototype to production. Native integrations with the top agent frameworks. Track, save, and monitor every token your agent sees. Manage and visualize agent spending with up-to-date price monitoring. Fine-tune specialized LLMs up to 25x cheaper on saved completions. Build your next agent with evals, observability, and replays. With just two lines of code, you can free yourself from the chains of the terminal and instead visualize your agents’ behavior in your AgentOps dashboard. After setting up AgentOps, each execution of your program is recorded as a session and the data is automatically recorded for you.

SweKit let’s you build PR agents to review code, suggest improvements, enforce coding standards, identify potential issues, automate merge approvals, and provide feedback on best practices, streamlining the review process and enhancing code quality. Automate writing new features, debug complex issues, create and run tests, optimize code for performance, refactor for maintainability, and ensure best practices across the codebase, accelerating development and efficiency. Use highly optimized code analysis, advanced code indexing, and intelligent file navigation tools to explore and interact with large codebases effortlessly. Ask questions, trace dependencies, uncover logic flows, and gain instant insights, enabling seamless communication with complex code structures. Keep your documentation in sync with your code. Automatically update Mintlify documentation whenever changes are made to the codebase, ensuring that your docs stay accurate, up-to-date, and ready for your team and users.

Mem0 is a self-improving memory layer designed for Large Language Model (LLM) applications, enabling personalized AI experiences that save costs and delight users. It remembers user preferences, adapts to individual needs, and continuously improves over time. Key features include enhancing future conversations by building smarter AI that learns from every interaction, reducing LLM costs by up to 80% through intelligent data filtering, delivering more accurate and personalized AI outputs by leveraging historical context, and offering easy integration compatible with platforms like OpenAI and Claude. Mem0 is perfect for projects such as customer support, where chatbots remember past interactions to reduce repetition and speed up resolution times; personal AI companions that recall preferences and past conversations for more meaningful interactions; AI agents that learn from each interaction to become more personalized and effective over time.

Atla is the agent observability and evaluation platform that dives deeper to help you find and fix AI agent failures. It provides real‑time visibility into every thought, tool call, and interaction so you can trace each agent run, understand step‑level errors, and identify root causes of failures. Atla automatically surfaces recurring issues across thousands of traces, stops you from manually combing through logs, and delivers specific, actionable suggestions for improvement based on detected error patterns. You can experiment with models and prompts side by side to compare performance, implement recommended fixes, and measure how changes affect completion rates. Individual traces are summarized into clean, readable narratives for granular inspection, while aggregated patterns give you clarity on systemic problems rather than isolated bugs. Designed to integrate with tools you already use, OpenAI, LangChain, Autogen AI, Pydantic AI, and more.

Omega is an internally developed AI agent integrated directly into Slack to supercharge sales workflows by handling routine tasks, surfacing insights, and nudging team members toward best practices, all with minimal friction. It seamlessly connects with core tools like Slack, Google Drive, Apollo, Salesforce, and transcript systems to automate time-consuming chores, generating call agendas, summarizing expert calls, locating relevant documents, and tracking deal progression. Omega operates as a modular, multi-agent system, utilizing specialized roles orchestrated via frameworks like AutoGen to plan, execute, and validate actions within the workflow. This architecture runs on a cloud-native, serverless stack using AWS Lambda and Step Functions, enabling flexibility and scale. Observability and iteration are supported through tools like Langfuse, Promptfoo, CI/CD pipelines, and Terraform.