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Tessary
Tessary is an open-source agent reliability platform that monitors traces, detects production issues, and investigates root causes.
Tessary is an open-source reliability platform designed to monitor AI agents in production and prevent silent failures. It watches every trace using OTLP over HTTP and gRPC, running PII redaction before storage and normalizing to OpenTelemetry genai conventions. Cheap classifiers continuously sweep traces to detect issues, grouping related findings into actionable cases after an LLM triage step. The root cause analysis engine runs an agentic session over failing traces and connected GitHub repositories to explain cases and cite code. It is built for developers running AI agents in production who need visibility into silent failures and errors.
Tessary at a glance
- Best for: Software engineer
- Runs on: Web, self-hosted, open source, API
- Pricing: Free plan
- Released: October 2026
- Category: AI agent tool
- Website: github.com/tessaryai/tessary
Key features
- Monitors every production trace
- Detects issues using cheap classifiers
- Groups related findings into cases
- Performs root cause analysis with trace and repository evidence
- Redacts PII before storage
- Connects GitHub repositories for code citation
Use it for
- Discovering production agent failures
- Investigating root causes of agent errors
- Fixing failing agent traces in production
Alternatives to Tessary
- AgentScore — Monitors production agents and dispatches coding agents to fix failures automatically.
- Tracely — Turns production failures into regression tests that block pull requests.
- Agent Beacon — Retains coding agent knowledge across tools so errors do not repeat.
- Composio — Equips AI agents with tools, managed user auth, and sandboxes across 1,500+ apps
- TraceRoot — Closes the self-improving loop for coding agents using production traces and evals.
- Polylane — It autonomously investigates production errors and submits ready-to-merge PR fixes.
- Sentry — Improves agent reliability and learns reusable lessons from verified recoveries.
- Rashomon — Verifies whether Claude Code actually completed tasks or hid command failures.
- Agentic Telemetry — Local-first viewer for OTLP traces with agent handoff and tool call trees
- Agentic Context Engine — Automatically investigates agent errors and generates reviewable code fixes.
- Agentic Bug Hunter — It drives the reconnaissance, triage and reporting loop an agent would run.
- FailproofAI — Trace every agent run live and enforce policies in sub-milliseconds to stop failures.
All Tessary alternatives