Discover observability AI agents: Browse our comprehensive directory of intelligent digital assistants and AI automation tools.

"observability" tagged AI Agents | AI Agent Store

Dynamiq is a low-code GenAI platform to design, build, orchestrate, deploy and monitor multi-agent AI workflows—secure, compliant, and scalable across cloud, hybrid, and on-prem environments.

Dynamiq

dynamiq

Enterprise-grade low-code AI agent platform for building, orchestrating, and deploying compliant multi-agent workflows.

Phonic is a platform for developing conversational voice agents with speech-to-speech capability, hyper-realistic voices, and low latency (~300ms). It provides tools for observability, evaluation of failures, and decision-systems to handle edge cases dynamically. Its deployment options include cloud API or fully containerized on-premises setups.

Phonic Voice AI

phonic-voice-ai

End-to-end voice AI platform to build, observe, and evaluate reliable conversational voice agents.

Dust AI is a platform where teams build custom, agentic AI agents that understand company context, connect to internal tools and knowledge sources, and execute multi-step workflows. Agents can be built without code, integrate with APIs, handle reasoning chains, memory, observability, and securely manage data, enabling enterprises to automate beyond simple chat or search.

Dust AI

dust-ai

Enterprise platform for composing custom AI agents, workflows, and integrations using company data and tools.

IBM watsonx Orchestrate is an enterprise-grade platform to create, deploy, and manage AI agents, assistants and workflows. It offers multi-agent orchestration, a no-code/low-code Agent Builder, a catalog of prebuilt agents, and integrates with existing business systems. Designed for HR, procurement, sales and more, it supports hybrid, multi-cloud, or on-premises deployment, with features for governance and observability.

IBM watsonx Orchestrate

ibm-watsonx-orchestrate

A platform to build, deploy and orchestrate AI agents and assistants that automate workflows across enterprise systems.

Amazon Bedrock AgentCore is a modular suite of AWS services providing secure, scalable deployment and operations for AI agents. It offers Runtime for serverless agent execution with session isolation and long-running support, Memory for context-aware agents, Identity for secure access, Gateway to convert APIs into agent-ready tools, Browser for managed web automation, Code Interpreter for sandboxed code execution, and Observability for tracing and debugging workflows. AgentCore supports any open-source framework and any foundation model, inside or outside Bedrock, enabling developers to accelerate agents into production with enterprise-grade flexibility, security, and monitoring.

Amazon Bedrock AgentCore

amazon-bedrock-agentcore

Modular AWS platform for deploying, enhancing, and monitoring AI agents securely at scale.

Agenta is an open-source platform designed to assist developers and product teams in building robust AI applications powered by Large Language Models (LLMs). It provides integrated tools for prompt engineering, versioning, evaluation, and observability, all in one place. With Agenta, users can rapidly experiment with prompts, manage prompt versions, evaluate application performance, and monitor usage and quality. The platform supports various LLM workflows, including chain-of-prompts and Retrieval Augmented Generation (RAG), and is compatible with frameworks like Langchain and LlamaIndex. Agenta aims to accelerate the development cycle of LLM applications by facilitating collaboration between developers and non-developers, such as product managers or domain experts.

Agenta

agenta

An open-source LLMOps platform offering prompt engineering, evaluation, and observability tools for building robust LLM applications.