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    Enables AI coding agents to retrieve relevant execution context before a task, compare candidate paths, log outcomes, and search past experiences stored locally in SQLite. It lets agents reuse what worked on similar tasks and get live alerts when a run stagnates or repeats failures.
    14
    46 PyPI
    3
    MIT
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    Provides coding agents live access to shadcn-style component registries, enabling them to search, compare, and fetch real component source code for UI composition.
    5
    83 npm
    6
    MIT
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    Delegates coding and read-only exploration tasks to the Antigravity CLI as blocking headless runs, mirroring live progress to on-disk stream transcripts and diffing git status to report touched files and out-of-scope edits. Supports resumable conversations, per-call model/agent/effort overrides, idle and hard timeouts, and discovery of available models and agent profiles.
    5
    48 npm
    MIT
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    Two-way MCP bridge between Claude and Codex: send prompts into a live Codex Desktop thread and messages into a running Claude Code session, keeping each conversation in its own app. Native Desktop tasks on Windows and macOS; CLI/app-server mode on Linux and WSL.
    16
    4,278 npm
    32
    MIT
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    Shared knowledge graph for AI coding agents. Search, create, and link verified technical knowledge across 12 node types with trust scoring, demand signals, and auto-provisioning. Install: npx agent-hive-mcp
    10
    2 npm
    MIT
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    Enables coding agents to record, recall, supersede, and trace temporal decisions with rationale using MCP tools.
    8
    1
    Apache 2.0
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    Enables collaboration between multiple AI models (GPT, Claude, Gemini) to work together on complex tasks, with intelligent task distribution and role-based expert assignment for code development, review, and optimization.
    18
    29 npm
    49
    MIT
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    Enables delegating coding tasks to the Pi CLI through MCP with named sessions, synchronous or asynchronous execution, and a read-only transcript window on Windows.
    2
    MIT
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    An MCP server that lets coding agents ask their human via interactive UIs like sliders, forms, diffs, and live previews.
    MIT
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    Enables multiple AI coding agents to collaborate on a project by coordinating tasks, file leases, and messages through a shared hub, preventing conflicts and enabling parallel development.
    MIT
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    Enables Claude Code to research design references per page section across galleries like Awwwards, Dribbble and Mobbin, render the user's page in multiple style directions with live 3D components, and collect votes on a local board. It then produces a PDF report and iteratively builds and refines the actual page, dashboard prototype or mobile screens from that feedback.
    1,984 npm
    MIT
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    Bridges the ChatGPT web UI to a local development environment over MCP, letting the model read and patch files, run real shell commands and terminals, execute tests, and control the desktop (screen, mouse, keyboard, clipboard) within user-approved folders. It adds parallel workers, goal/loop long-task control, plugin tools, and a security-hardening layer with risk-tiered shell policy, audit logging, and credential sanitization.
    MIT
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    Autonomous TDD coding agent that converts specifications into feature lists and implements them using test-driven development with pause/resume capabilities, live progress monitoring, and automatic git commits.
    MIT
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    Enables Puck (or any MCP client) to start, inspect, list, cancel, and continue durable Factory Droid tasks on the same host, with idempotent request keys, workspace locking, autonomy/reasoning control, and live authenticated model discovery. It runs without a UI, database, or daemon and inherits the service user's existing Droid CLI login instead of collecting credentials.
    MIT
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    Enables Hermes agents to delegate bounded coding tasks to persistent oh-my-pi sessions with isolated git worktrees, live steering, and durable follow-ups, requiring explicit user confirmation before each task.
    AGPL 3.0
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    Enables users to run shell commands with compressed output, extract information from large files, drive local opencode and Codex agents, perform browser-automation tasks, and monitor runs via a live dashboard.
    MIT
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    Connects ChatGPT to local files, terminals, and the desktop through MCP with Chrome integration, letting users read and edit project files, run commands, and follow tool results as they arrive. It also adds durable multi-agent workers, Goal/Loop task tracking, mid-task corrections, and Compact & Resume for carrying session and worker history into a fresh chat.
    MIT
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    Enables MCP clients such as Claude Code and Codex to delegate persistent review or isolated write-mode implementation tasks to locally installed Claude Code or Codex runtimes, then inspect progress, approve or deny individual permission requests, and continue the same native conversation. It also lists live model catalogues, lets callers follow up on saved conversations, and can run independently via its bundled CLI.
    2
    MIT
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    Enables AI assistants to write, validate, debug, and execute AutoHotkey v2 scripts on Windows, with tools for syntax checking, script execution, active window inspection, library search, and live debugging via DBGp protocol.
    5
    GPL 3.0
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    Enables Codex to act as a user of a live Claude Code session. It provides tools to send messages, read outputs, manage sessions, and review diffs, allowing mid-task corrections without losing context.
    16 npm
    MIT
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    Provides live, graph-verified code intelligence for AI agents, including call graphs, dependency awareness, and safety gates on edits to prevent breaking changes.
    17
    MIT
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    Enables coding hosts like Claude Code, Codex, Antigravity and Grok to dispatch tasks to full DeepSeek Harness agent sessions that appear as native subagents with live progress, tier and effort presets, escalation on failure, workspace locking and a jobs board. It also bridges text-only harness models to vision and image generation through DeepSeek's VL model, existing CLI tools, or any OpenAI-compatible endpoint.
    354 npm
    MIT
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    A local MCP server that lets an agent hand real coding tasks to the signed-in Google Antigravity CLI, with background runs, follow-ups, live status, cancellation, independently collected change evidence, execution traces, model listing, login, and quota-based account rotation. It requires no API key, relying instead on the existing Antigravity login and optionally exposing agy models through a bundled local model gateway.
    MIT
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    Enables Claude Code, Codex, Antigravity and Grok to dispatch work to DeepSeek Harness agents that run as real harness sessions while appearing as native subagents with live progress, tier/effort presets, and escalation on failure. Also bridges the text-only harness to vision and image generation through DeepSeek's VL model or locally available CLIs and custom providers.
    354 npm
    MIT
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    Enables Google Gemini on web or mobile to connect to a local Antigravity IDE/CLI workstation, letting users browse and manage coding sessions, inspect paused approvals, search and read repository files, audit git changes, send handoffs that resume the right project chat, and view ASCII usage telemetry or a live web dashboard.
    2
    AGPL 3.0