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VibePod is a unified CLI for running AI coding agents in isolated Docker containers — no required configuration, no setup. Just vp run <agent>. Includes built-in local metrics collection, HTTP traffic tracking, and an analytics dashboard to monitor and compare agents side-by-side.
Middleware memory engine for LLMs — replaces linear chat history with three parallel structures (Entity Graph, Semantic Tree, Focus Buffer) to retrieve only the most relevant context within a token budget. Works as a Python library or MCP server for Claude Code, Copilot CLI, and other AI tools.
Scientific project discovery framework for AI agents. Transform ambiguous ideas into structured specifications using JTBD, Amazon PR/FAQ, ADR, and Lean Startup validation. Agent Skills compliant.
An incident-response cockpit built on top of GitHub Copilot CLI that correlates telemetry, GitHub activity, runbooks, mitigation plans, rollback guidance, and a Copilot-ready investigation brief.
Unified AI CLI wrapper that routes Claude, Codex, Copilot, and Gemini through one consistent interface with managed proxy injection, prompt layering, traffic/session visibility, and tool-specific controls for reproducible coding workflow
Automate detailed, privacy-safe GitHub code reviews locally with multi-agent analysis, bug detection, and clear markdown reports—no data leaves your machine.