Traccia AI launches a framework-agnostic platform for AI agent observability and governance, addressing telemetry fragmentation in multi-agent ecosystems to support enterprise AI adoption.
Hello! It's our launch day on - Producthunt Please help a bunch of beginner entrepreneurs by voting Traccia. We are building Traccia AI. Our vision is to put India on the map of global AI infrastructure by solving the biggest roadblock to enterprise AI adoption: the lack of trust and visibility at scale. Currently, multi-agent AI ecosystems suffer from severe telemetry fragmentation. Enterprise teams building with frameworks like LangGraph or CrewAI need rigorous production standards, multitenant architectures, and comprehensive observability. However, they struggle to track decisions across sub-agents and tool calls without risking vendor lock-in or exposing sensitive data. To fix this, we created Traccia AI: a framework-agnostic, OpenTelemetry-native platform designed for AI agent observability, governance and runtime policy enforcement. As technical architects, we built it with process excellence in mind, enabling: Unified Observability: Seamless token and cost tracking, passive guardrail detection, and offline evaluation directly within a standard OTel pipeline. Enterprise Governance: Out-of-the-box compliance evidence for the EU AI Act and HIPAA without shipping prompt data to external APIs. Future-Proof Architecture: Deep support for emerging orchestration standards like the Model Context Protocol (MCP). Over the last 10 months, we’ve built this platform with pure grit and the organic traction proves we are solving a critical pain point: We've achieved over 100 GitHub stars with absolutely ₹0 spent on marketing. Traccia has been mentioned in OpenAI’s official documentation, listed by Gartner, and cited in arXiv research. We recently launched on Product Hunt and are already running in production- actively watching over agents and keeping AI honest at scale. We have built a proven, deterministic core that works. We are raising our angel round to accelerate the development of our multi-agent governance capabilities and scale our platform engineering efforts.
OpenObserve launches an AI-native, open-source observability platform designed to trace AI agents and LLMs, offering detailed insights into performance, cost, and quality for developers.
Motus Tracing is a fully open-source observability layer for AI agents that captures every model call, tool call, sandbox interaction, and error, providing a unified span model for local development and cloud deployment with zero setup cost.