Overview
Agent Herbie is a distributed AI agent designed for secure, private, and real-time operations. It supports on-premise and air-gapped deployments, enabling local and offline functionality.
Key Features:
- Distributed AI agent architecture
- Operates in secure environments
- Ensures private inference and execution
- Supports offline functionality
- Designed for on-premise deployments
- Compatible with air-gapped operations
Use Cases:
- Deployments requiring strict data privacy and security
- Operations in environments without internet connectivity
- Real-time decision-making in isolated or sensitive systems
Benefits:
- Enhanced data security and privacy through local processing
- Reliable operation independent of external network access
- Reduced latency for critical applications in real-time environments
Capabilities
- Ingests traces and logs via TraceRoot SDK (Python and TypeScript) to Cloud or self-hosted instance
- Visualizes execution traces, spans, and log clusters in a trace explorer UI
- Runs AI agents that analyze traces, logs, metrics and repository context for root-cause reasoning
- Produces natural-language root-cause summaries and execution-tree explanations in chat/agent UI
- Generates GitHub issues and drafts or creates GitHub PRs with suggested code changes
- Auto-triages production errors by detecting recent error logs and surfacing prioritized incidents
- Correlates Slack conversations and Notion docs with telemetry to add investigative context
- Supports bring-your-own LLMs (OpenAI, Anthropic) and local models for agent reasoning
- Provides self-host deployment via one-line Docker script; UI serves at localhost:3000, API at :8000
- Publishes open-source SDKs and examples on PyPI and npm for instrumenting apps and multi-agent flows
- Allows selecting spans or trace paths to guide agents and focus analysis on specific execution paths
- Operates multi-agent workflows (GitHub agent, Slack agent, Notion agent) that collaborate on fixes
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