observability

JarvisCore is a Python framework for building distributed multi-agent systems with peer-to-peer discovery, crash recovery, zero-trust credential handling, shared memory, and built-in observability.

AgentTrace is a Python-based observability and runtime self-healing system for AI agent workflows. It logs multi-step tool calls, surfaces latency issues, and attempts to repair malformed LLM tool arguments before they crash a run.

Read-only Kubernetes context engine that turns cluster state into structured context for SREs, scripts, and AI agents. It offers CLI commands for explain, graph, trace, health, dump, and a read-only HTTP API.

A post about TMA1 v2, a local observability and context-sharing tool for coding agents. It adds an MCP server, hook-based context injection, and cross-agent sharing between Claude Code and Codex.

AgentPulse is an observability tool for multi-agent systems, with run history, crash tracking, metrics, and investigation views for reviewing agent executions.