AlgoNoRhythm/Flare

The graph based agentic IDE

What it solves

Flare is a graph-first IDE designed specifically for agentic coding, solving the problem of visibility and coordination when multiple AI agents (like Claude or Codex) are editing a codebase. It prevents agents from colliding by providing a shared communication channel and a visual map of the repository, ensuring humans can track exactly what agents are changing and why.

How it works

Flare monitors the filesystem and terminal activity of AI agents. It maps the repository as a live graph where files are nodes and imports are edges. It uses the Model Context Protocol (MCP) to allow agents to interact with a task board, record design decisions, ask questions, and communicate in a shared channel. The IDE captures every change "burst" and snapshots it, allowing for precise auditing and one-click reverts.

Who it’s for

Developers who use AI coding agents and need a high-level architectural view of their project, as well as a way to manage multiple agents working on the same codebase without causing merge conflicts or architectural drift.

Highlights

  • Graph-Based Visualization: Three distinct views (Canvas, Wheel, and Districts) to visualize dependencies, repository mass, and blast radius.
  • Agent Coordination: A shared "Channel" for agents to announce which files they are taking and a Kanban task board for handing off work.
  • Review Cockpit: Groups changes into "bursts" and audits them against agent intent, verification status (tests run), and "agent smells" (e.g., deleting assertions).
  • MCP Integration: Agents can query tasks, record design decisions, and ask questions via MCP tools.
  • Risk-Aware Alerts: Real-time notifications when agents rewrite load-bearing files or introduce high-risk changes.
  • Shadow History: Local snapshots of every change burst for easy diffing and restoration.

Related

  • Project
    ACEsuit/mace-foundations

    A collection of pre-trained foundation models for materials chemistry that predict atomistic properties across 89 chemical elements.

  • Project
    usadellab/Helixer

    Helixer is a structural genome annotation tool that uses deep learning and Hidden Markov Models to perform ab initio gene calling across various species lineages.

  • Project
    BugTraceAI/BugTraceAI

    BugTraceAI is an open‑source, self‑hosted platform that uses autonomous AI agents together with Go fuzzers, Playwright browsers, and classic security tools to perform bug‑bounty and penetration‑testing scans. It ships four main components—CLI scanner, React web dashboard, Docker‑based launcher, and an extensible MCP agent framework—plus a deliberately vulnerable practice app (BugStore). The system runs locally (AGPL‑3.0), supports model benchmarking, authenticated scanning, and generates detailed reports. It’s designed for hunters, DevSecOps pipelines, and security education.

  • Project
    CalebYcj/codex-rehome

    A desktop utility for Codex Desktop users to offlinely migrate projects, conversations, and plugins between computers, supporting cross-platform transfers between Windows and macOS.