New Tool Radar

  Traccia AI Review 2026: AI Agent Observability, Governance and Policy Enforcement Artificial intelligence is moving from simple chatbots to autonomous AI agents that can use tools, call APIs, search databases, make decisions and complete multi-step tasks. As these systems become more powerful, another problem appears: how do you know what your AI agents are actually doing? Developers and businesses need visibility into agent executions, model calls, token usage, costs, errors, sensitive data, prompts and policy violations. This is where Traccia AI comes into the picture. Traccia is an AI agent observability, evaluation, governance and policy enforcement platform designed to provide a centralized control layer for AI agents. It is OpenTelemetry-native and supports frameworks including LangChain, CrewAI, OpenAI Agents SDK, AutoGen and LlamaIndex. What Makes AI Agent Monitoring Difficult? Traditional application monitoring is already complex. AI agents introduce anot...

  Decawork Review 2026: The AI Agent Control Plane for IT Teams AI agents are becoming part of everyday business operations. Marketing teams can build content agents, recruiting teams can create candidate-screening workflows, finance teams can automate reconciliation, and engineering teams can deploy coding agents. But as companies deploy more AI agents, a new problem appears: who controls all of them? An AI agent may have access to company data, APIs, internal applications, customer information, or other business systems. If every team creates agents independently, IT and security teams can quickly lose visibility into what exists, who owns it, what it can access, and what actions it is taking. Decawork is designed to address this problem. Instead of building another AI agent, Decawork positions itself as an AI agent control plane for IT teams . It provides one place to deploy, govern, monitor, maintain, and audit internal AI agents built across different tools a...