28 مستودعات
Dashboards for visualizing and observing live AI interaction streams.
Distinguishing note: Focuses on AI interaction monitoring, not general system performance monitoring.
Explore 28 awesome GitHub repositories matching system administration & monitoring · AI Session Monitoring. Refine with filters or upvote what's useful.
Claude-mem is an agentic memory persistence system designed to provide AI assistants with long-term context across multiple development sessions. It functions as a background orchestrator that captures, summarizes, and indexes interaction history, allowing models to maintain continuity and recall technical decisions from past tasks. By utilizing a vector-augmented context engine, the system injects relevant historical observations into active sessions, ensuring that AI agents remain informed without exceeding finite token budgets. The project distinguishes itself through an endless memory arc
Provides a live web-based dashboard to observe and visualize AI interaction streams and background tasks.
This project is an agentic framework designed to enable autonomous web navigation and browser automation. It functions as a controller that translates natural language instructions into deterministic browser actions, allowing agents to interact with websites, perform data extraction, and manage complex authentication flows. By leveraging accessibility trees and semantic element resolution, the framework mimics human-like navigation, moving beyond brittle DOM selectors to interact reliably with modern web interfaces. The framework distinguishes itself through its focus on secure, scalable exec
Streams a live visual feed of the browser session to a web interface for real-time observation of agent activity.
AgentMemory is a persistent knowledge store and memory server designed to provide AI coding agents with long-term memory. It functions as a knowledge graph engine and vector database store that saves and recalls project context, architectural decisions, and patterns across different sessions. The system distinguishes itself by using a tiered-memory consolidation pipeline that compresses raw observations into episodic, semantic, and procedural layers to optimize token usage. It employs a hybrid retrieval strategy combining keyword matching, vector embeddings, and graph traversal to surface rel
Visualizes a timeline of prompts and tool calls with playback controls to audit agent activities.
This project is a comprehensive framework for building AI-powered applications, providing a unified toolkit for orchestrating language models, autonomous agents, and interactive user interfaces. It serves as a central library for managing the entire lifecycle of AI interactions, from initial prompt generation and model provider abstraction to complex, multi-step reasoning and tool execution. The framework distinguishes itself through its deep integration with frontend development, specifically by enabling generative user interfaces that render dynamic components directly from model outputs. I
Provides dashboards for visualizing and observing live AI interaction streams, including tool calls and token usage.
Generative Agents is a computational platform for simulating autonomous agents that exhibit human-like social behaviors and decision-making processes. The system functions as a multi-agent simulator where individual participants operate within a virtual environment, driven by large language models to process observations and generate natural language actions. The framework distinguishes itself through a hierarchical memory system that allows agents to store, retrieve, and synthesize past experiences into higher-level insights. This architecture supports the development of complex social dynam
Enables the visualization and replay of past simulation logs through a browser interface.
Stagehand is an AI-native browser automation framework that enables developers to build reliable web automations using a hybrid of natural language instructions and deterministic TypeScript code.
Captures rich logs and visual data from browser interactions to provide full visibility into agent performance.
Claude Code Templates is a comprehensive framework for orchestrating specialized AI agents and automating development workflows within local environments. It provides a structured system for defining, configuring, and deploying AI personas that handle specific technical tasks, ranging from backend architecture and frontend implementation to security auditing and infrastructure management. The project distinguishes itself through a configuration-driven approach that allows teams to standardize development environments and share reusable agent definitions across projects. It includes a robust C
Tracks real-time performance metrics, token usage, and conversation history to analyze AI-powered development activity.
LiveKit is a comprehensive framework for building and orchestrating real-time, multimodal AI agents that interact with users through voice, video, and text. It provides a centralized, event-driven architecture to manage the entire lifecycle of automated participants, from initialization and session state management to graceful shutdown. By utilizing a selective forwarding unit, the platform efficiently routes media streams between participants and agents, ensuring low-latency communication and secure, token-based authentication for all connections. The platform distinguishes itself through it
Captures transcripts, audio recordings, and interaction logs from live sessions to identify performance issues and refine agent instructions.
Qwen-code is an AI-powered development framework designed for orchestrating intelligent coding agents within terminal and IDE environments. It provides a comprehensive infrastructure for automating software maintenance, code generation, and complex refactoring tasks by managing multi-agent workflows and persistent session states. The system is built to handle both interactive development and automated background processes, ensuring that agents can execute shell commands and file operations safely within isolated, sandboxed environments. What distinguishes this project is its focus on granular
Provides visibility into live AI interaction streams and project logic through execution logs.
OpenRA is an open-source game engine designed for the development and modernization of real-time strategy titles. It provides a modular framework that allows developers to build standalone games or total conversion modifications by leveraging a trait-based entity composition system. The engine is built to support both the preservation of classic strategy games and the creation of new experiences, offering cross-platform compatibility and a flexible architecture for defining game rules and unit behaviors. The engine distinguishes itself through a configuration-driven approach where game logic,
Records gameplay sessions to allow reviewing tactical decisions, identifying strategic errors, and improving performance through observation of past matches.
CARLA is an autonomous driving simulator and research environment designed for developing and validating self-driving software. It functions as an urban traffic simulator that generates realistic vehicle and pedestrian behavior and as a synthetic sensor data generator producing LiDAR, Radar, and camera data. The platform distinguishes itself through its deep integration with robotics frameworks, specifically providing native connectivity to ROS2 nodes for robotic control and data processing. It supports the training of driving models via imitation and reinforcement learning within a controlle
Saves simulation states and sensor data to disk and replays them for analysis or reproducibility.
Pipecat is a framework and software development kit for building real-time multimodal AI agents and speech-to-speech systems. It utilizes a frame-based data pipeline to route audio, video, and text through a modular sequence of processors, enabling the orchestration of low-latency conversational AI. The project is distinguished by its ability to coordinate complex multimodal services, including speech-to-text, language models, and text-to-speech, within a single pipeline. It features semantic voice activity detection for natural turn-taking, state-machine conversation flows for dialogue manag
Unifies conversation audio, logs, traces, and metrics to troubleshoot interruptions and latency issues in real-time.
Rybbit is an open-source, self-hosted web analytics platform designed for comprehensive user behavior tracking and product engagement analysis. It provides a complete suite for monitoring visitor interactions, conversion funnels, and site performance, allowing organizations to maintain full ownership of their data and infrastructure. The platform distinguishes itself through a strong emphasis on privacy-compliant data collection and visual session replay capabilities. It supports advanced traffic routing through custom domains to bypass ad blockers and includes configurable masking tools to p
Captures visual session replays with configurable masking to protect sensitive user information.
OpenReplay is a session replay platform and frontend debugging suite designed to record and play back user browser sessions. It functions as a user behavior monitoring system that captures interaction patterns and technical metadata to identify conversion issues and revenue loss. The platform is distinguished by its self-hosted infrastructure model, allowing the recording and analytics pipeline to be deployed on private servers for full control over data residency. It also includes a browser co-browsing tool for real-time screen sharing and direct communication to provide immediate technical
Provides a platform for capturing and visualizing the visual history and execution logs of browser sessions.
This project is an AI-powered IDE extension and LLM coding assistant that provides a conversational interface for generating, refactoring, and debugging code. It functions as an AI agent framework and a Model Context Protocol client, connecting AI models to external data sources and tools to automate complex development tasks. The system is distinguished by its use of autonomous AI agents capable of multi-step task execution, including the ability to read files, modify code, and run terminal commands iteratively. It supports recursive agent orchestration through subagent delegation and employ
Attaches debug event snapshots to chat sessions to diagnose token usage and tool call behavior.
HyperDX is an OpenTelemetry observability platform that provides centralized log management, distributed tracing, and a self-hosted monitoring stack. It functions as a unified system for collecting, indexing, and visualizing logs, metrics, and traces from cloud and container environments. The platform distinguishes itself with specialized tooling for large language model monitoring and session replay, allowing user interactions in the browser to be linked to backend telemetry. It employs schema-less JSON parsing to index structured logs dynamically and uses source maps to resolve minified sta
Records user interactions and links them to backend telemetry to visually reconstruct and resolve frontend errors.
Stack Auth is an open-source authentication and authorization platform that provides pre-built UI components, OAuth integration, team management, and session handling for web applications. It offers a complete authentication lifecycle covering sign-in, sign-up, session management, password recovery, and multi-factor security, with support for passkey authentication and OAuth providers including Google, GitHub, and Apple. The platform includes a team-based permission system with role-based access control, allowing users to be organized into teams with granular permissions for membership manage
Provides live active-user counts, session replays, and natural-language querying for building dashboards.
Serial Studio is a desktop application for connecting to, decoding, visualizing, and recording data from hardware devices over multiple communication protocols. It functions as an embedded device debugging toolkit that ingests live data from Serial, Bluetooth, CAN, Modbus, MQTT, and network sockets into a unified dashboard, while also serving as a programmatic automation platform with over 320 commands exposed over TCP, gRPC, and MCP for external control. The application distinguishes itself through a scriptable frame pipeline that routes incoming bytes through configurable detection, decodin
Opens any recording back through the same dashboard to review past data with the same visual layout.
Cowrie is an SSH and Telnet honeypot that simulates vulnerable services to capture attacker commands, file transfers, and brute force attempts for deception and monitoring. It uses Python-based protocol emulation within a Twisted event-driven network framework to handle concurrent connections, while maintaining an in-memory virtual filesystem that logs every read, write, and traversal operation. The honeypot distinguishes itself through LLM-driven dynamic response generation, producing context-aware shell replies that adapt to attacker commands rather than relying on static templates. A plugi
Stores attacker interactions in a format that replays with a utility for post-incident analysis.
Steel is a cloud browser automation platform that provides a REST API for launching and controlling remote Chrome browser sessions. It enables programmatic browsing and web scraping using standard automation tools like Puppeteer, Playwright, and Selenium, connecting to cloud-hosted browser instances via WebSocket and the Chrome DevTools Protocol. The platform supports both headless and headful browser sessions, with language-specific SDKs for TypeScript and Python. The service distinguishes itself through comprehensive anti-detection capabilities, including residential proxy rotation, CAPTCHA
Captures every navigation, click, and form fill during a session and replays them step by step in a dashboard.