Havuz

Open-source runtime AI agent security tool - monitors and controls AI agents, catching malicious tool use, prompt injection, and policy drif

Agyn is an open-source Kubernetes-native runtime that moves AI agents like Claude Code and Codex from laptops to company infrastructure with

Terminal side pane for Claude Code that shows a session's agents as a live tree. Stop a running sub-agent, send it new instructions mid-task

Debug Anything: observe any running process, container or pod from your AI agent. strace, py-spy, perf, lsof, tcpdump, gdb/lldb and heap sna

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

Self-hosted web viewer for Claude Code session transcripts — read, search, replay, and audit every session you have ever run

Visualize Pydantic AI agent workflows from Logfire traces as an interactive HTML diagram — tools, nested sub-agents, tokens and exact cost.

Local-first flight recorder for coding agents : replay every run as a live session map, score the context bill, and write the fix back into

Observability for AI agents. See what your agent did, why it cost that much, and what to fix.

Axon reads the logs your AI coding-agent harnesses already write — Claude Code, Codex, OpenCode — and shows which harness, project, agent, a

One command turns every agent session already on your disk into a graph: subagents, tool calls, retries, the moments you said no. Ask your a

Mindlas catches your coding agent drifting before the bad code lands. Real-time tracking and correction for context rot, unverified done cla

The agentic debugger for Claude Code, Codex CLI and Gemini CLI: a token usage, cost and context-window tracker that shows what the tokens AR

AI evaluators CLI for your AI apps and Agents - Dynatrace AI Observability

A token-spend profiler and cost-regression gate for AI agents.

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 p

Lightweight observability for multi-agent AI pipelines. Self-hosted, no cloud dependency — add two lines of Python and see real-time agent e

Record-and-replay for agent decision graphs: reproduce a prod agent failure as a committed regression test, and re-run your fix without live

Runtime visibility for Python MCP servers. Captures tool calls, session lifecycle, module imports (SHA-256), and subprocess execution as str

Counterfactual replay and causal attribution over LLM-agent trajectories: find which step actually caused a failure by intervening on it.