# Tessary

> Open-source reliability platform that monitors production AI agent traces, groups failures into cases, and explains their root cause.

Tessary is an open-source reliability platform for AI agents running in production, developed by Tessary AI. It monitors every trace, flags problems with classifiers, groups related findings into cases, and runs root-cause analysis against trace and repository evidence. It is available as Tessary Cloud or as a self-hosted deployment under the Apache 2.0 license.

## What It Is

Tessary targets engineers whose agents complete runs without errors but produce wrong results. Agents send OpenTelemetry traces to Tessary, which reads all of them rather than a sample. Classifiers check each trace cheaply, and the output is a case with a summary, the likely causes, and the traces behind them.

## How the pipeline works

Traces arrive over OTLP (HTTP and gRPC) or SDK push and are normalized to the OpenTelemetry gen_ai conventions, with PII redaction before storage. Built-in classifiers cover behavior drift, tool errors, secret leaks, malformed output, frustration, groundedness, and cost and duration drift. An LLM triage step decides whether a finding is a real deviation before it becomes a case. RCA then runs an agentic session over the failing traces and, if a GitHub repository is connected, the code itself. It returns the causes found and the checks it ruled out. Alerts route the case to its owner; Tessary explains and hands off but does not open the fix.

## Setup path

Tessary Cloud can be used by signing up. Self-hosting uses a Docker Compose command or a setup guide written for a coding agent, and requires Docker Engine 26+ and Docker Compose v2.34+. To instrument an agent, point OTLP traces at the endpoint and add a tessary.call_site.id attribute to spans that invoke a model.

## Self-hosting and telemetry

Self-hosted instances send an anonymous heartbeat to the vendor, which can be disabled with an environment variable. The README states it never carries trace or prompt content.

## Features
- Monitors every production trace without sampling
- Built-in classifiers for drift, tool errors, secret leaks, malformed output, frustration and groundedness
- Groups findings into cases with LLM triage
- Root-cause analysis across traces and connected GitHub repository
- Custom classifiers (paid)
- OTLP over HTTP and gRPC ingestion with PII redaction
- Alert routing to case owners
- Self-hosting via Docker Compose

## Integrations
OpenTelemetry, GitHub, OpenRouter, Docker, Slack

## Platforms
WEB, API, LINUX, MACOS

## Pricing
Open Source, Free tier available

## Version
v1.12.2

## Links
- Website: https://tessary.ai
- Documentation: https://docs.tessary.ai/
- Repository: https://github.com/tessaryai/tessary
- EveryDev.ai: https://www.everydev.ai/tools/tessary