Introducing agentOS
A lightweight VM for AI agents, powered by WebAssembly and V8 isolates. ~6 ms cold start, 32x cheaper than sandboxes, full POSIX environment.
233 stories
A lightweight VM for AI agents, powered by WebAssembly and V8 isolates. ~6 ms cold start, 32x cheaper than sandboxes, full POSIX environment.
Most AI agent skills ship untested. See how LangWatch Scenario simulates full multi-turn conversations with a user simulator and judge to catch real failures.
Non-technical leaders now write agent simulations in plain language with LangWatch and Claude, testing AI agents before a single customer sees them.
LangWatch Skills let your coding agent instrument tracing, observe production performance, and run tests automatically, no manual setup needed.
Agent Command Center: routing, guardrails, fallbacks, per-key cost controls. Agent Playground: visual multi-step graph builder. Plus ClickHouse migration.
How to use middleware to sanitize input, validate output, and trigger retries before guardrails and hooks run.
Why exposing every tool to the model does not scale, and how VoltAgent's Tool Routing keeps tool use fast, controlled, and observable.
Baseline chat comparison wires production conversations into simulation as the fastest path to reproducible tests. Plus Fix My Agent, OTel, image outputs.
Launch chat simulations directly from real production conversations, 10 ready-to-use evaluation groups with no configuration, and Fix My Agent for chat.
Simulation for text chat agents, a six-strategy automated prompt optimiser, selective optimisation against specific calls, and resilience on restarts.
Context-aware debugging that explains why a simulation failed and how to fix it, full lifecycle for personas, structured JSON sessions, Optimiser backend.
Scenarios that branch into multiple conversation paths, ambient noise profiles that push simulations closer to production, and a critical-issue feed.
Workspace credit attribution, a 3-step guided agent builder with multi-language, rebuilt Prompt Workbench with commit history, and 4 new TTS providers.
The refreshed Open AI Agent Builder beta now lives under the broader AgentKit umbrella. AgentKit bundles orchestration, governance, and UI pieces into one stack, and the canvas remains an efficient way to sketch an agent before committing to TypeScript.
Upload an SOP or call transcript to auto-generate test scenarios with edge cases. Commit-style version control for agents. Session observability per span.
Zero-config performance insights on agent traces, statistical dashboards for annotator agreement, and multi-workspace isolation with audit logging.
AI agents introduce new security risks when given direct browser access. Lightpanda explores how a lightweight browser with instant startup can mitigate these threats.
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