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Awesome observability page
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The open-source observability database. One columnar engine for metrics, logs, and traces, on object storage.
Agenta is a workspace where you and your team build agents and automations.
OrcaReplay — Time travel for AI agents. Record, replay, fork, and debug any agent run with any model. Built by the OrcaRouter.ai team.
Plug-and-play homelab dashboard in one container — GPU, local-AI VRAM, Docker, systemd, host health. Built-in read-only MCP server so AI agents can explore it too.
Local-first Rust TUI/CLI for auditing AI coding-agent sessions: cost, tokens, latency, failures, and health|本地运行的 Rust TUI/CLI,审计 AI 编程 Agent 会话的成本、Token、延迟、失败与健康度
the agent experience layer · observability + memory for AI coding agents (Claude Code + Codex) · local-first, typed, yours
Intent as Code | the workflow language for AI. One file, 4 verbs, one Rust binary. Local-first, any model, AGPL-3.0. 🦋
Observability for AI coding assistants — cost tracking, efficiency scoring, and anti-pattern detection for Claude Code, Cursor, Copilot, and more. Local-first; New Relic optional.
Diff your AI agent's behavior between two runs. See exactly which tool calls, args, costs and outputs changed when you swap models or edit prompts.
Python SDK for accurate and verifiable agent tool use. Agents verify that answers came from the right source and were not changed. Downstream agents detect 100% of errors and retry to achieve a 50% jump in answer accuracy.
Open-source, local observability TUI for Claude Code and Codex — context, cost, tokens, agents, tools, compactions, and code changes.
Local-first observability dashboard for AI agents. MCP-native. Look at every span your agents emit.
Unified observability gateway for AI agents — one MCP server for Prometheus, Loki, and any backend, with cross-signal anomaly detection and a built-in Web UI.
Local replay debugger for Browser Use failures with screenshots, model I/O, failed-step timelines, and public-safe HTML exports.
Local-first DevTools for AI calls. See every LLM call your app makes: prompt, cost, tokens, latency, tool calls.
Sentinel freshness checking for scheduled agent jobs: alert on missing success, not on errors
Monitor Claude Code and Codex CLI agents for running, completed, failed, or stalled jobs.