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GitHub
MCP Server·2026
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agentmemory

rohitg00

Provides persistent, searchable memory for coding agents (Claude Code, Cursor, Gemini CLI, etc.), automatically capturing tool usage and session facts. Combines BM25, vector embeddings and a knowledge graph for hybrid retrieval, reducing token costs and re-explaining between sessions.

#mcp-server#mcp#ai-agent#ai-coding#embeddings+12
GitHub
AI Coding·2026
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code-review-graph

tirth8205

Builds a local structural knowledge graph of a codebase so AI coding assistants read only the minimal, relevant code during reviews and daily tasks—reducing tokens used while providing blast-radius impact analysis, incremental updates, and MCP integrations.

#mcp#mcp-server#mcp-client#python#ai-coding+5
GitHub
AI Client·2026
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Token Optimizer

Alex Greenshpun

Audits and reduces token waste in LLM sessions by compressing verbose outputs, checkpointing before compaction, and restoring lost context. Runs fully locally with zero telemetry and provides a live token dashboard plus plugins for Claude Code, OpenClaw and Codex.

#plugin#claude-code#ai-tools#cli#python+6
GitHub
MCP Server·2026
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OpenSEO

bensenescu·every-app

Provides an MCP server and agent skills so AI agents can run keyword research, inspect SERPs, compare domains, and manage backlinks using your DataForSEO data. Self‑hostable TypeScript project with an optional hosted UI (openseo.so) and pay‑as‑you‑go data usage.

#mcp#mcp-server#mcp-client#agent-skills#typescript+3
GitHub
AI Agent·2026
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OpenAI Plugins

OpenAI

A curated collection of Codex plugin examples demonstrating plugin manifests, companion surfaces (skills, hooks, assets), and sample integrations. Highlights richer, opinionated examples for Figma, Notion, iOS/macOS/web builds and MCP-backed bundles — useful for prototyping assistant plugins.

#plugin#openai#agent-skills#mcp#ai-agent+5
GitHub
AI Infra·2026
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WorldWideView

silvertakana

Visualizes live global data on a CesiumJS 3D globe via a plugin-driven pipeline and real-time WebSocket DataBus. Supports dynamic plugin marketplace, an opt-in Agent Bus for external LLM/MCP control, and self-hosting with Docker and PostgreSQL.

#plugin#typescript#docker#postgres#mcp-server+4
GitHub
AI Deploy·2026
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Openship

Openship

Deploy and manage applications and containers to your own servers or Openship Cloud from a single desktop, web, or CLI interface. Built-in CI/CD with push-to-deploy and preview environments, automatic SSL, managed databases, CDN, backups, and multi-node portability for VPS-to-production workflows.

#ai-deploy#mLOps#mcp#docker#cli+5
GitHub
AI Agent·2026
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ARIS (Auto-claude-code-research-in-sleep)

wanshuiyin

Lightweight, Markdown-only skill pack that lets LLM agents autonomously run ML research workflows—literature survey, idea discovery, cross-model review loops, experiment automation and paper writing—designed for Claude Code, Codex CLI, Cursor and local model setups.

#agent-skills#claude-code#codex#mcp#mcp-server+7
GitHub
AI Infra·2026
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Open Brain

Nate B. Jones, OB1 Team

Provides a single persistent database and open protocol so multiple AI tools share the same memory — built-in vector search, an AI gateway, and capture/skill extensions. Best for teams and power users who want a unified, self-hosted agent memory instead of siloed notes or per-tool caches.

#mcp-server#mcp#embeddings#postgres#ai-agent+3
GitHub
AI Agent·2026
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Agent-Native

BuilderIO

Framework for running agents inside real applications — it exposes shared actions, SQL-backed state, tools, skills, jobs and UI surfaces so agents can act on app state instead of just chatting. Backend-agnostic TypeScript stack with cloneable app templates and visual planning/recap features.

#agent-skills#ai-agent#ai-framework#typescript#github+3
GitHub
MCP Server·2026
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claude-plugins-official

Anthropic

Curated marketplace of Claude Code plugins maintained by Anthropic, separating its own internally built plugins from vetted community submissions. Browse and install directly inside Claude Code via /plugin install {name}@claude-plugins-official.

#plugin#anthropic#claude#gitHub#mcp+4
GitHub
AI Coding Tutorials·2026
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AI Engineering from Scratch

Rohit Ghumare, Community

Hands-on, phase-based curriculum for building end-to-end AI systems from first principles — implement algorithms, run tests, and ship reusable artifacts (prompts, skills, agents, MCP servers) across Python, TypeScript, Rust, and Julia under an MIT license.

#course#github#ai-coding#python#typescript+8
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