3 Repos
Mechanisms for persisting and managing active connections and metadata for multiple remote agents.
Distinct from Database Session Management: Distinct from Database Session Management: focuses on tracking remote agent connections rather than generic server/cluster session monitoring.
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This project is a post-exploitation framework and command and control platform designed for security research and penetration testing. It functions as a remote access tool consisting of a central command server and encrypted executable payloads that establish reverse shell connections. The system utilizes a web-based dashboard for multi-client administration, allowing for remote host monitoring and direct shell access through an in-browser terminal. It generates cross-platform, encrypted binaries that employ a multi-stage delivery chain and a key exchange mechanism to secure communications.
Provides a database-backed system to track metadata and active connections for multiple remote hosts.
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
Connects to remote machines via SSH or tunnels to run and track AI agent sessions.
The agent-framework is an LLM agent orchestration framework and multi-agent workflow engine designed for building autonomous AI agents. It provides a tool integration layer for binding external functions, APIs, and sandboxed code as executable tools for language models. The framework distinguishes itself through a graph-based system for designing sequential and parallel task flows, featuring state management and checkpointing for long-running processes. It implements comprehensive conversational state management and an observability suite that uses telemetry to trace execution flows and monit
Maps session identifiers to a common context ID to track state across remote agent calls.