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botguage.com - Stop agent failures before they ship.
BotGauge 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.
Built by Sanath bhat and kinga bhat
Artificial Intelligence AI Agent Freemium
Visit website → Upvotes · 3
In category: #2230 of 2807 · Artificial Intelligence
botguage.com is a Community listing on Launch Llama with 3 total upvotes across 3 founder supporters, +3 in the week of Oct 6–Oct 12, 2026, founded by Sanath bhat and kinga bhat who joined in Oct 2026, compared against 6 alternatives.
Community listing
Listing status
3upvotes
+3 · Oct 6–Oct 12, 2026
Community score
Sanath bhat and kinga bhat (Joined Oct 2026)
Founder
Compared against 6 alternatives
Market comparison
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Key Features
- Agent observability
About
BotGauge helps teams red-team, evaluate, monitor, and govern AI agents from development to production. Agents call tools, touch sensitive data, and act with real autonomy, which means they fail in ways traditional checks were never built to catch. Prompt injection hidden in a document, a tool call nudged outside its intended scope, a multi-step reasoning chain steered into an unapproved outcome: these failures rarely show up from asking an agent a few sample questions. BotGauge runs adaptive red-team campaigns against your live agent to surface these exact risks: prompt injection, unauthorized tool calls, data leakage through connected systems, and guardrail bypasses. Every finding becomes a permanent evaluation, added to your agent's regression suite so the same failure can't silently reappear in a future prompt tweak or model update. Monitoring keeps watching after deploy, flagging drift and recurring failure patterns as models and tools change. Governance turns technical findings into clear, evidence-based guardrails and insight that engineering, security, and compliance stakeholders can actually act on, built from real attacks that worked, not generic policy templates. BotGauge works with the frameworks teams are already shipping with, including LangGraph, CrewAI, AutoGen, and the OpenAI Agents SDK, plus MCP-connected agents. It's vendor-neutral and framework-agnostic by design, built to plug into your existing stack rather than lock you into one ecosystem. Built for AI and ML engineering teams running agents in production who need ongoing red-teaming, durable evals, monitoring, and governance, not a one-time review.
Pricing
botguage.com offers a free plan plus paid tiers. See the website for current pricing.
Verdict
In the competitive artificial intelligence space, botguage.com stands out as a solid option. It's gaining traction among founders who value simplicity and results. BotGauge helps teams red-team, evaluate, monitor, and govern AI agents from development to production. If botgauge 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 is a priority for your team, it's worth giving botguage.com a closer look.
FAQ
What is botguage.com?
BotGauge helps teams red-team, evaluate, monitor, and govern AI agents from development to production. Agents call tools, touch sensitive data, and act with real autonomy, which means they fail in ways traditional checks were never built to catch. Prompt injection hidden in a document, a tool call nudged outside its intended scope, a multi-step reasoning chain steered into an unapproved outcome: these failures rarely show up from asking an agent a few sample questions. BotGauge runs adaptive red-team campaigns against your live agent to surface these exact risks: prompt injection, unauthorized tool calls, data leakage through connected systems, and guardrail bypasses. Every finding becomes a permanent evaluation, added to your agent's regression suite so the same failure can't silently reappear in a future prompt tweak or model update. Monitoring keeps watching after deploy, flagging drift and recurring failure patterns as models and tools change. Governance turns technical findings into clear, evidence-based guardrails and insight that engineering, security, and compliance stakeholders can actually act on, built from real attacks that worked, not generic policy templates. BotGauge works with the frameworks teams are already shipping with, including LangGraph, CrewAI, AutoGen, and the OpenAI Agents SDK, plus MCP-connected agents. It's vendor-neutral and framework-agnostic by design, built to plug into your existing stack rather than lock you into one ecosystem. Built for AI and ML engineering teams running agents in production who need ongoing red-teaming, durable evals, monitoring, and governance, not a one-time review.
Who should use botguage.com?
botguage.com is a strong fit if you are one of: • teams adopting AI-powered workflows and automation If that does not sound like you, skim the features and site before committing time.
What problem does botguage.com solve?
botguage.com is built around this outcome: BotGauge 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. Use the site demo or docs to confirm it matches the bottleneck you are trying to remove.
What are the main features of botguage.com?
botguage.com includes: • AI agent red teaming • Agent Evals • AI agent observability
Is botguage.com free to start?
botguage.com offers a free plan plus paid tiers. See the website for current pricing. Check the official site before you buy so you see current plans, trials, and limits. Most freemium tools let you validate the workflow before upgrading — check what the free tier unlocks for your use case.
How much does botguage.com cost?
botguage.com offers a free plan plus paid tiers. See the website for current pricing. Check the official site before you buy so you see current plans, trials, and limits.
How does botguage.com use AI?
botguage.com uses AI as part of its workflow. Before relying on it for customer-facing or confidential work, confirm what data is sent to models, whether outputs are editable, and how you can review results.
Is botguage.com worth trying?
It promises: BotGauge 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. Worth trying if that problem is painful for you this week; skip it if you only need a one-off workaround you already have.
How do I try botguage.com?
Open the official botguage.com website from this page, run the smallest real task you care about (not a toy demo), and decide in one session whether it removes friction. Check pricing and data/privacy terms before you put production work into it.
Alternatives
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- Autonomous AI Agents for Cybersecurity
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- AgentKey
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- Arachne
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Supporters
3 founders3 founders contributed 3 upvotes to botguage.com on Launch Llama.
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For agents
llms.txt · llms-full.txt · ai.txt · Live fact sheet · Full catalog (.md) · Endpoint index · API spec · REST access · Agent server · Server manifest · Server discovery