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swarmtrace
SwarmTrace is an advanced, open-source observability and distributed tracing platform designed specifically for decentralized microservices and swarm intelligence systems. As modern architectures shift toward autonomous, edge-computing networks, traditional monolithic logging tools fail to capture the complex, emergent behaviors of interacting agents. SwarmTrace bridges this gap by providing real-time, end-to-end visualization of data flows across dynamic node clusters. It allows developers to monitor how individual units communicate, detect systemic bottlenecks, and trace cascading failures with minimal performance overhead.Key CapabilitiesDynamic Topology Mapping: Automatically visualizes shifting node connections in real time.Asynchronous Trace Stitching: Links decoupled messages across event-driven architectures.Anomaly Detection: Employs lightweight ML to flag irregular communication patterns.Low-Overhead Telemetry: Minimizes network drag on resource-constrained edge devices.Target AudienceThe platform is built for DevOps engineers, roboticists, and distributed systems architects. It simplifies debugging in multi-agent environments, such as drone swarms, IoT mesh networks, and decentralized financial grids. By turning chaotic distributed logs into clear, actionable visual timelines, SwarmTrace ensures system reliability and accelerates root-cause analysis in unpredictable environments.
13 Jul 2026
SwarmTrace — pytest for AI Agent Swarms
SwarmTrace is an open-source developer toolkit that brings pytest-style observability to multi-agent LLM systems. Built at AMD Hackathon 2026, it solves one of the biggest pain points in production AI: you can't fix what you can't see. With a single @observe decorator, SwarmTrace automatically traces every agent call in a swarm — capturing latency, token usage, cost, and execution order in a beautiful nested tree. It works with any LLM provider, runs fully offline, and requires zero infrastructure setup. Key features include: - Multi-Agent Tracing — visualize your full agent tree with parent/child relationships, timing, and token costs per call. - Token Budget Manager — set hard token limits per agent with configurable warnings, so no single agent silently burns through your budget. - Tool Attention (arXiv:2604.21816) — a semantic similarity engine that selects only the most relevant tools for each query, reducing tool token overhead by up to 95%. - Regression Detection — compare two prompt versions across a test set and automatically flag semantic regressions before they reach production. - Web Scraping Tracing — trace live web scraping inside agent pipelines with full observability. - Async & Thread-Safe — full support for asyncio-based parallel agent swarms. - CLI Dashboard — browse, replay, and export traces from the terminal using rich color output. Benchmarked on AMD Instinct MI300X (192GB VRAM) via AMD Developer Cloud, SwarmTrace adds less than 1ms of overhead per agent call across swarms of 20+ agents. It is fully open-source (MIT), free forever, and self-hosted — making it a production-ready alternative to paid tools like LangSmith.
10 May 2026
