Progress AI Observability

Progress AI Observability is a Product Hunt listing on Launch Llama with 172 total upvotes, compared against 6 alternatives.

Launched on Launch Llama Aug 10, 2026 · #3 of 108 that day

About

Launch Llama's Take

Based on Launch Llama data as of November 2026

Progress AI Observability has 172 upvotes, including the votes it received on Product Hunt, which ranks it #388 of 2,036 Artificial Intelligence tools on Launch Llama by upvotes, in the top quarter. It has been listed on Launch Llama since August 2026. No Launch Llama members have upvoted it yet and it has no reviews yet.

Progress AI Observability is aimed at debugging and monitoring AI agent failures by tracing runs and tracking token spend, while Agnost AI analyzes user conversations to surface silent failures and behavior drift.

Progress AI Observability vs Agnost AI

Progress AI Observability is aimed at debugging and monitoring AI agent failures by tracing runs and tracking token spend, while Agnost AI analyzes user conversations to surface silent failures and behavior drift.

See all Progress AI Observability alternatives

Key Features

• Trace execution paths across prompts, models, and tools
• Debug agent failures by diagnosing skipped tools and retrieval issues
• Track and reduce AI spend across models and workflows
• Run LLM-as-a-Judge evaluations to measure output quality
• Support .NET, Python, and JavaScript applications

Use Cases

• Teams debugging complex multi-step agent workflows to find where behavior breaks down
• Engineering leaders who need to track LLM spend across agents and workflows
• Teams evaluating AI output quality to ensure responses are grounded and safe

Who it is for

• AI teams shipping production AI agents and LLM applications
• Developers building .NET, Python, or JavaScript AI agents who need reliable behavior in production
• Engineering teams that must govern AI output quality, cost, and security before release

Pricing

Alternatives

Agnost AIFor AI teams: Agnost AI discovers silent failures and behavior drift in production agents so you fix issues before users churn.AI Observability by OpenObserveFor AI teams: OpenObserve monitors LLM agents with 140x lower storage costs than competitors so you debug production issues without breaking budgets.BotGaugeThe trust layer for your agents telemetry.devObservability for AI agentsranwhatOpen-source AI agent security: an audit trail of what Claude Code, Codex and eighteen more agents ran, the secrets they leaked to disk, and what their tokens allow.botguage.comBotGauge uses adaptive red-teaming and real-world scenarios to discover how your agent behaves, then turns what you learn into stronger evaluations, policies, and safeguards as it evolves.

More in Artificial Intelligence

• Prompt Bridge
• PromptForge AI Starter
• PromptImage
• PromptMed
• Prompto
• PromptPlanner
• PromptQL
• pronto.stream
• ProspectPuffin
• Proxc

All Artificial Intelligence tools

New on Launch Llama

• 1Password for Agents
• Moli by Lexmount
• BAND for Developers
• MOVO AI
• zCAD AI
• Zerouter
• MacScapes
• Badge Check Script Test Page

Launched this week · This month's launches · All products A–Z

Tags

Featured in

• The 15 Best Software Engineering Tools in 2026 (Compared) — ranked #14

Third-party sources

• The .NET Core 2 Wave

  Hacker News · January 23, 2017 · 76 points

• Is Left-Pad Indicative of a Fragile JavaScript Ecosystem?

  Hacker News · March 23, 2016 · 11 points

• Flip That App Hybrid Mobile to JavaScript Native (NativeScript)

  Hacker News · December 9, 2015 · 8 points

• OAuth Has Ruined Everything

  Hacker News · October 23, 2015 · 297 points

• How I came to love Typescript

  Hacker News · September 11, 2015 · 8 points

• Safari Is Not the New IE, But…

  Hacker News · August 19, 2015 · 56 points

• What’s Wrong with the Web?

  Hacker News · August 3, 2015 · 7 points

• The Web’s Cruft Problem

  Hacker News · July 16, 2015 · 362 points