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GitHub
MCP Server·2025
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chrome-devtools-mcp

ChromeDevTools·Google Chrome DevTools

Gives coding agents controlled access to a live Chrome browser through MCP, exposing DevTools-backed automation, debugging, screenshots, console inspection, network analysis, and tracing.

#mcp#mcp-server#github#nodejs#ai-tools+2
GitHub
MLOps·2025
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DeepScientist

Yixuan Weng, Minjun Zhu +6

Turns papers, repositories, or natural-language research goals into local-first executable 'quests' that automate reproducible experiments, branching, and result-to-paper workflows. Preserves experiment history, supports web/TUI/connectors, and keeps human takeover and inspection simple.

#mlops#ai-workflow#ai-agent#github#python+2
GitHub
MCP Server·2025
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Corsair: The Unified Integration Layer for Agents

corsairdev

Provides a unified integration layer that lets AI agents call and manage third‑party service APIs while keeping credentials and approval workflows out of the agent's reach. Offers plugin-based integrations, per-tenant envelope encryption (KEK), configurable permission modes, and an optional Hub to host OAuth/webhook surfaces.

#mcp-server#mcp-client#mcp#ai-api#ai-api-management+7
GitHub
AI Infra·2025
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Anthropic Sandbox Runtime (srt)

Anthropic (anthropic-experimental)·Anthropic

Enforces filesystem and network limits on arbitrary processes at the OS level, no container required. Uses macOS Seatbelt, Linux bubblewrap, and the Windows Filtering Platform; built to sandbox MCP servers and AI agents under a secure-by-default model.

#anthropic#claude-code#mcp-server#nodejs#typescript+3
GitHub
AI Agent·2025
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Hindsight: Agent Memory That Learns

Vectorize.io·Vectorize

Agent memory that learns over time instead of just recalling past chats: retain/recall/reflect primitives turn interactions into facts, experiences, and mental models. Reports top LongMemEval scores; self-hostable with Python and Node SDKs.

#ai-agent#agent-skills#llm#embeddings#postgres+6
GitHub
MCP Client·2025
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MCPorter

Peter Steinberger (steipete)·Peter Steinberger

Discovers MCP servers already configured in Cursor, Claude, Codex and other editors, then calls their tools from TypeScript or the CLI. Can also turn any server into a standalone command-line tool or a typed TypeScript client.

#mcp#mcp-client#typescript#nodejs#cli+4
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 Audio·2025
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Supertonic

Supertone Inc.

Delivers multilingual, on-device text-to-speech via ONNX Runtime with prebuilt ONNX assets and cross-platform SDKs (Python, Node, mobile); targets low-latency, privacy-preserving TTS with ready demos and 31-language support in v3.

#audio#speech#multilingual#huggingface#python+8
GitHub
AI Audio·2025
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Folia

冬霧

Full‑screen immersive lyrics player that renders synchronized, animated lyric visualizations and AI-generated color themes; supports NetEase, Navidrome and local libraries with smart lyric matching and LRC/TTML compatibility.

#ai#nodejs#electron#react#typescript+3
GitHub
AI Client·2025
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Context Hub

andrewyng

CLI (chub) that lets coding agents search, fetch, and annotate curated, versioned API docs and agent skills — agents read inspectable, language-specific docs instead of noisy web search. Features: incremental fetch, local annotations, feedback-to-maintainers.

#github#cli#nodejs#ai-tools#ai-client+2
GitHub
AI Agent·2025
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Open Agents

Vercel Labs

Runs LLM-driven coding agents as durable workflows on Vercel, orchestrating isolated sandbox VMs for repo work, shell and file tools, and optional auto-commit/PR flows — designed for cloud-hosted, resumable developer automation.

#agent-skills#ai-agent#ai-coding#gitHub#nodejs+5
GitHub
AI Infra·2026
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9Router

decolua

Routes CLI coding-tool requests to many AI providers with built-in tool-output compression (saves ~20–40% tokens), real-time quota tracking, and automatic subscription→cheap→free fallback for zero-downtime coding.

#ai-api#nodejs#docker#cli#ai-coding+4
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