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GitHub
MCP Client·2025
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React Grab

aidenybai

Capture file/component/HTML context from any React UI element with a keystroke so coding assistants get precise, paste-ready snippets. Works in development mode, offers plugin hooks and MCP integration, and targets faster/more accurate LLM-assisted coding workflows.

#ai-coding#mcp-client#mcp#plugin#ai-tools+3
GitHub
AI Client·2025
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SEO Machine

TheCraigHewitt, Anthropic·Castos

Turns content briefs into SEO-optimized long-form articles via chained Claude Code commands and specialized subagents. Pulls live GA4, Search Console, and DataForSEO data to ground keyword research, drafting, and on-page optimization in real rankings.

#claude-code#anthropic#AIGC#ai-tools#blog+5
GitHub
AI Client·2025
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Nimbalyst

Nimbalyst Inc.

Visual workspace for managing multiple LLM-powered coding agent sessions and iterating on code, docs, and mockups. Combines WYSIWYG editors, session kanban, task tracking, and git tooling so developers can review, approve, and integrate agent-generated changes.

#ai-client#ai-agent#ai-workflow#ai-tools#electron+5
GitHub
AI Client·2025
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Macro

Macro (macro-inc)

Unifies team email, chat, docs, tasks, CRM, calls and AI agents into a single workspace with bidirectional @-linking and a shared, exportable team memory.

#mcp#mcp-server#mcp-client#agent-skills#ai-agent+5
GitHub
AI Client·2025
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oracle

Bundles your prompt and project files into a single context package and submits that bundle to one or multiple LLMs (GPT‑5.x, Gemini, Claude, etc.) via API or optional browser automation. Key features: multi-model runs, file-globbing and token-aware bundles, session lineage and replay, and a CLI-first workflow for code reviews, audits, and multi-model comparisons.

#cli#nodejs#typescript#chatgpt#gemini+5
GitHub
AI Client·2025
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CC GUI (Claude or Codex)

zhukunpenglinyutong

Provides an IntelliJ IDEA plugin that embeds both Anthropic Claude Code and OpenAI Codex into the IDE — conversation-aware code assistance, @file context, session management, agent/skills commands, and provider switching for in-IDE AI coding workflows.

#plugin#claude#codex#anthropic#openai+4
GitHub
AI Client·2025
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CC GUI (Claude or Codex)

zhukunpenglinyutong

Provides an in‑IDE interface for IntelliJ IDEA to interact with Anthropic Claude Code and OpenAI Codex for AI-assisted coding. Supports dual-engine switching, file-aware context, session history, agent skills, MCP extensions, and security/permission controls.

#plugin#ai-coding#ai-client#claude-code#claude+5
AI Agent·2025
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Google Antigravity

Google Antigravity Team·Google

Agent-first development platform: spawn autonomous agents that plan, edit, run terminals, and drive a browser to verify their own work, returning reviewable artifacts like plans and screenshots. Defaults to Gemini 3 Pro; also runs Claude and GPT-OSS.

#google#gemini#ai-agent#agent-skills#vibe-coding+3
GitHub
AI Client·2025
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Maestro

Pedram Amini, RunMaestro·RunMaestro

Runs several AI coding agents — Claude Code, Codex, OpenCode — in parallel from one keyboard-driven desktop app, each on its own Git worktree. Playbooks batch markdown checklists, group chat coordinates agents, and a web server enables remote control.

#ai-client#ai-agent#ai-tools#claude-code#codex+5
GitHub
AI Client·2025
GitHub

Claudian

Yishen Tu

Embeds Claude Code into Obsidian so a Claude-based agent can read, edit, search, and run bash inside your vault. Features include inline edits with diff previews, image analysis, slash-commands, skills/plugins, MCP integrations, and plan-mode.

#claude-code#claude#anthropic#ai-client#plugin+3
GitHub
MCP Server·2025
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QMD - Query Markup Documents

tobi·Independent

On-device search engine for notes, transcripts, and code that blends BM25 full-text, vector semantic search, and a local LLM re-rank — all running offline via node-llama-cpp and SQLite. Ships an MCP server so AI agents can query your knowledge base.

#github#embeddings#mcp-server#mcp-client#RAG+2
GitHub
AI Client·2025
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Mindwtr

dongdongbh

Cross-platform GTD task manager for desktop, mobile, and web that covers the full Capture→Clarify→Organize→Reflect→Engage workflow with a local-first data model and flexible sync backends. Optional BYOK AI copilot and automation (CLI, REST API, MCP) help clarify and break down tasks.

#LLM#mcp#mcp-server#mcp-client#ai-tools+10
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