observability

Local-first observability and evaluation layer for production forecasts. Captures forecasts, validates them, computes horizon-aware metrics, and serves a read-only local UI for comparing runs.

Self-hosted observability and control plane for production and coding AI agents, with live timelines, fleet-wide feeds, token budgets, MCP allow/block rules, and support for Claude Code plus a Python sensor.

Open Bias is an open-source reliability harness for LLM apps and agents that enforces rules at runtime. It sits between your app and an LLM provider, using RULES.md policies to trace, block, or fix off-policy behavior.

Open-source runtime for multi-agent AI systems with job scheduling, DAG orchestration, shared memory, tool execution, and real-time observability.

RiskKernel is an open-source, self-hosted reliability runtime for AI agents. It adds hard budgets, kill switches, crash-resumable runs, human approval gates, and OpenTelemetry export, with support for OpenAI, Anthropic, and existing agent stacks.

Intencion is a product analytics and observability platform for AI agents. It tracks user intent, tool calls, run outcomes, and resolution trends, then turns failures or unmet requests into Linear or GitHub issues.

Open-source platform for governing AI agents across clouds and stacks, with a control plane, sidecar-based data plane, policy enforcement, observability, and audit trails.

Self-hosted runtime for putting hard budgets, approval gates, observability, and resumable checkpoints around AI agents.

A local, read-only observability dashboard for Claude Code with live event streams, session Kanban, token and cost charts, a 3D tool-call graph, and plugin-based widgets.

Open-source agentic mesh for governing AI agents across enterprise systems, with identity, policy enforcement, audit trails, observability, and Kubernetes-native deployment.

Go-native framework for building, orchestrating, and observing AI agents with native OpenTelemetry, an embedded dashboard, replay, and first-party MCP/A2A support.

Klent is an AI agent guardrails product that sits between agents and their tools, letting teams allow, deny, pause, rewrite, or redirect tool calls with policies, human approval flows, and audit trails.

AISBF is a self-hostable AI service broker and OpenAI-compatible proxy/router for routing requests across multiple providers, adding prompt-aware model selection, failover, quotas, analytics, and privacy-focused deployment options.

A plugin for recording AI coding agent activity in a tamper-evident local audit trail. It stores sessions, tool calls, prompts, and integrity checkpoints in SQLite and exposes CLI and UI views for status, reports, anomalies, spend, inventory, exports, and proof verification.

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.