An open-source, provider-agnostic execution and replay infrastructure for AI applications, LLM applications, agents, agentic workflows, RAG systems, tool-using systems, and multi-agent systems.
Minimalist, lightweight observability inspector for logs. Turn service log streams into human-readable traces for local observability in daily workflows.
Python framework for horizontally-scalable, agent-native apps. A three-tier cache — SQLite, NATS KV, PostgreSQL — keeps state coherent across pods. Observable by default.
Audit logging for Azure/go-workflow — records every step execution event with timestamped events, export to JSON, NDJSON, diagrams, and an interactive HTML dashboard.
The official Treblle SDK for Laravel. Seamlessly integrate Treblle to manage communication with your dashboard, send errors, and secure sensitive data.
Scenery — one CLI tool for building, running, inspecting, and debugging Go backends. Local-first runtime, APIs, logs, traces, DB tools, generated clients, and AI agent skills included.
Runtime control, security, and governance for AI agents — decide what an agent may do at the moment it acts, revoke that authority instantly, and keep tamper-evident evidence of every decision.
An enterprise-grade Spring Boot framework for stateless Model Context Protocol (MCP) servers in Java (MCP 2026-07-28). OAuth2 resource server, per-handler authorization, OpenTelemetry, Jakarta Validation, audit logging, GraalVM native-image — all opt-in via a one-dependency feature-module pattern.