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🪢 Open source agent evals & observability: Trace, evaluate, and improve LLM applications with one open platform.
A high-performance observability data pipeline.
Open-source, high-performance AI gateway that works as your LLM gateway, MCP gateway and agent gateway. One OpenAI-compatible API for 10,000+ models, with failover, load balancing, semantic caching, virtual keys, budgets and MCP Code Mode. Works with any SDK or agent and adds under 200µs of overhead at 5k RPS.
The open-source observability database. One columnar engine for metrics, logs, and traces, on object storage.
Open-source observability for AI agents. Find where your agents fail, dispatch your coding agent to fix it, and verify the fix against real traces.
eBPF Observability - Distributed Tracing and Profiling
Real-time network diagnostics in your terminal. One command, zero config, instant visibility.
Laminar - open-source observability platform purpose-built for AI agents. YC S24.
Data first monitoring agent using (e)BPF, built on RedBPF
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
Agent and LLM API performance monitoring via network packet probe. Measures performance of OpenClaw, Claude, Codex, DeepAgents and more — deployed on the provider side, no SDK changes required.
Intent as Code | the workflow language for AI. One file, 4 verbs, one Rust binary. Local-first, any model, AGPL-3.0. 🦋
Unified observability for logs, metrics and traces — low overhead instrumentation (Rust, Unreal Engine 5), OTLP ingestion, SQL analytics on DataFusion over Parquet, presentation through notebooks, Grafana and Python. Self-hosted.
Lightweight self hosted error tracking for indie devs and startup teams. Sentry SDK compatible. 2-container. Installation within 15s.
Open-source, local observability TUI for Claude Code and Codex — context, cost, tokens, agents, tools, compactions, and code changes.