“observability”

Observability — an observability concept covering observability, trace, telemetry, span, audit.

Guide for instrumenting and operating observable software systems.

Add agent-first observability to code — structured logs, health endpoints, failure-state persistence, and explicit failure modes — so the next agent hitting a…

Unified observability gateway for AI agents — Prometheus, Loki & more, with anomaly detection.

Sessy — Amazon SES observability

marckohlbrugge

Read-only Amazon SES observability: search events, inspect bounces, pull delivery stats.

AI agent observability with deterministic record/replay for debugging agent failures.

Monitor the performance, usage, cost and guardrails of LLM and agentic AI apps in Elastic Observability

AI observability with real-time evaluators, dashboards, session tracing and cost tracking for AI agents

Full-stack observability for AI applications, LLMs and agents, covering performance, cost, quality and compliance

Free, read-only observer of an autonomous machine-economy experiment: pre-registered hypotheses with the strategist reasoning, code-scored verdicts, market…

A bounded, read-only A2A agent for answering questions about UsageMax public usage projections, integrations, and privacy boundaries.

Read-only comparison of proposed machine payment terms with dated third-party public observations retained by MEO.

Cloud platform for deploying and observing voice, video and physical AI agents, built on an open-source agents framework.

Open-source SDK for browser agents that combines natural-language act, extract and observe with Playwright-style control.

Open-source API gateway with AI plugins for multi-provider LLM proxying, token limits and observability.

TypeScript framework for AI agents and apps with graph-based workflows, memory, suspend-and-resume approvals, MCP servers and model routing.

SDK for browser agents with act, observe and extract calls, used from TypeScript and Python to automate sites and pull out structured data.

AI application runtime framework for backends with structured outputs, observable actions, MCP capabilities and recoverable workflows.

TraceRoost - Agentic AI Monitoring & Observability

agentlens

Agentic AI monitoring and observability — OTEL traces and local log file ingestion for Copilot, Claude Code, Codex, OpenCode, and Cursor CLI.

SuperBased

superbased

Local-first AI coding agent observability in your editor: Claude Code token usage, Codex cost and Cursor spend across 40 adapters, provider-exact via a local…

Okahu AI Debugging Agent

Okahu AI

Instrument, trace, debug and test AI agents running in the cloud directly within VS Code using Okahu AI observability.

Control plane for models, data, guardrails and observability, plus Agent Builder v2 for deploying dockerized agent apps.

Self-hosted runtime for building, running, observing and evaluating agents and workflows, with approval checkpoints.

Open-source visual builder for AI agents and workflows, with Python-customizable components and deployment as an API or MCP server

CLAUDE.md from Foundry376/Mailspring: 234 lines covering Build and Development Commands, Architecture Overview, Core Data Flow: Sync Engine, Tasks, and…

AGENTS.md from suitenumerique/docs: 268 lines covering Project Overview, Monorepo Structure, Development Commands, Architecture and more.

CLAUDE.md from DeepMyst/Mysti: 661 lines covering Project Overview, Build Commands, Development, Architecture and more.

Observe, enforce and build identity controls into AI agents, with runtime policy checks before agent actions run.

Identity-aware gateway that adds authentication and tool-level access control in front of MCP servers

Wallets, payments, cards and billing for AI agents, reachable through one API, SDK, CLI or MCP server

OpenTelemetry attribute names and signal shapes for tracing LLM calls, agents, tool execution and MCP operations.

Revised version of OSWorld, a benchmark of open-ended tasks on real desktop operating systems for computer-use agents.