Protocol-Level Observability for Multi-Agent AI
AgentFlare is the observability platform purpose-built for multi-agent AI. Capture every decision, message, and outcome in real time. Debug faster, enforce compliance, and align complex agent behaviors with confidence.
Key Features
Agentic Telepathy taps directly into agent cognition to reveal what each agent is doing and why.
Unified Agent Timeline
Consolidate every agent message, decision, and outcome into a single chronological view. Trace how agents interact and influence each other step by step.
Agent Thought Tracing
See inside each agent's decision-making process. Track reasoning, memory access, and cognitive patterns to understand why agents make specific choices.
Compliance & Safety
Ensure agents operate within defined boundaries. Monitor for policy violations, bias, and safety concerns in real-time with automated alerts.
Performance Analytics
Optimize agent performance with detailed metrics. Identify bottlenecks, measure efficiency, and track success rates across your entire agent ecosystem.
Advanced Debugging
Debug complex multi-agent interactions with precision. Set breakpoints, inspect state, and step through agent conversations to identify and fix issues quickly.
Seamless Integration
Integrate with any AI framework or platform. AgentFlare works with LangChain, AutoGen, CrewAI, and custom solutions with minimal code changes.
Why It Matters
As AI agents become more autonomous and complex, traditional monitoring approaches fall short. AgentFlare provides the missing layer of observability.
The Challenge of Multi-Agent AI
Modern AI systems often involve multiple agents working together, each with their own goals, capabilities, and decision-making processes. This complexity makes it incredibly difficult to understand what's happening, why decisions are made, and how to optimize performance.
Hidden Failures
Agents can fail silently or make poor decisions without any visible indication, leading to cascading problems.
Compliance Risks
Without proper monitoring, agents may violate policies, access unauthorized data, or make biased decisions.
Debugging Nightmares
Traditional logging and monitoring tools can't capture the complex interactions and reasoning behind agent decisions.
Who It's For
AgentFlare is designed for teams building the future of AI. Whether you're scaling existing systems or pioneering new approaches, we've got you covered.
AI Infrastructure Teams
Platform & MLOps Engineers
Platform and MLOps engineers ensuring AI runs smoothly at scale. Use AgentFlare to troubleshoot complex agent pipelines, prevent hidden failures, and maintain compliance in dynamic AI workflows.
AI Framework Builders
Tool & Platform Developers
Developers of next-gen AI frameworks and tools. Embed AgentFlare to give your users instant transparency and safety — empowering them to debug and trust their agents from day one.
AI Researchers & Labs
Research & Innovation Teams
Teams exploring the frontiers of autonomous AI behavior. Visualize complex agent interactions, experiment with alignment strategies, and gather data on emergent behaviors to accelerate discovery and innovation.
The future of AI observability is here.
Backed by leading AI engineers and battle-tested with early adopters, AgentFlare brings proven observability to the cutting edge of AI.
Join the pioneers who are reading their agents' minds and building the next generation of AI.