Local-first telemetry collector for AI coding agents — unified OpenTelemetry events for Claude Code, Codex, Cursor and more. Token usage, cost, traces and security audit, exported anywhere.

90 specialist AI agents + 3 project-local extensions for Claude Code / Codex CLI / Antigravity CLI (agy). Anthropic Agent Skills spec-aligned, hub-spoke orchestration via Nexus with 49 Recipes and 11 Skill Packs. Covers development, security, design, testing, FinOps, compliance, observability, and AI/ML.

CLI and telemetry system for querying local, CI, and production runtime data.

1flowbase: self-hosted AI gateway with protocol translation, dispatch, chat logs, built-in backend & React blocks to combine AI with business data. All managed by your Agent via MCP.

The implementation of Model Context Protocol (MCP) server for VictoriaMetrics

Vendor-neutral OpenTelemetry skills for AI coding agents, grounded in upstream sources

local-first analytics for AI agent skills

Save tokens. Maximize context, Safely

Dashboard for monitoring claude code sessions.

Skill pack for Claude Code that helps you monitor and troubleshoot your K8s clusters superintelligently

Watch a Claude Code or Codex session as a live flow graph, in your terminal or your browser.

Skills, prompts, and instructions for building AI agents on top of Dynatrace production context

Composable agent runtime with enforced isolation boundaries

See what Claude Code and Codex actually send to the API — and what each part costs.

OpenTelemetry skills and reference documentation for AI coding assistants - instrumentation patterns, telemetry quality guides, and Dash0 integration

htop for AI coding agents — monitor token usage, costs, and workflows across Claude Code, Cursor, Kiro, Codex, and Copilot

Tools for AI agents to test, fix and optimise your codebase

Multi-language agent runtime and library for execution scope management, lifecycle events, and middleware on tool and LLM calls.

🫖 Status page with uptime monitoring & API monitoring as code 🫖

End-to-end, code-first tutorials for building production-grade GenAI agents. From prototype to enterprise deployment.

BitDive Model Context Protocol (MCP) server. The Autonomous Quality Loop for AI agents. Provides real runtime context, before/after trace comparison, and integration testing workflows.

Self-hosted control plane for AI agents: dispatch tasks, review runs, track spend, and operate OpenClaw, Claude Code, Codex, and other runtimes.

Portable project memory across Claude Code, Codex and OpenCode, plus token accounting measured from harness transcripts. Local file I/O, no API calls, no telemetry.

Supercharge your Claude Code CLI experience with a powerful statusline that displays key session metrics (Git state, context usage, model info and cost) at a glance — minimal setup, maximum insight.