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Local First AI Agent Skills

Browse AI agent skills tagged "Local First". Find and install skills, MCP servers, and plugins for your AI coding assistant.

5 listings

NeuroLink

🧠 NeuroLink The Enterprise AI SDK for Production Applications 13 Providers | 58+ MCP Tools | HITL Security | Redis Persistence Enterprise AI development platform with unified provider access, production-ready tooling, and an opinionated factory architecture. NeuroLink ships as both a TypeScript SDK and a professional CLI so teams can build, operate, and iterate on AI features quickly. NeuroLink i

6.0juspay/neurolink

aimemo

English | δΈ­ζ–‡ Zero-dependency MCP memory server for AI agents β€” persistent, searchable, local-first, single binary. - No infra to babysit. Single Go binary. No Docker, no Node.js runtime, no cloud account, no API keys. brew install in 30 seconds. - Memory stays with the project. Stored in .aimemo/ next to your code β€” commit it to git or add it to .gitignore. Switch branches; memory follows the dire

7.0MyAgentHubs/aimemo

CICADA

Context compaction for AI code assistants – Give your AI structured, token-efficient access to 17+ languages including Elixir, Python, TypeScript, JavaScript, Rust, and more. Quick Install Β· Security Β· Developers Β· AI Assistants Β· Docs The core problem: AI code assistants waste context on blind searches. Grep dumps entire files when you only need a function signature, leaving less room for actual

9.0wende/cicada

Phloem

Your AI forgets everything when you close the tab. Phloem fixes that. Phloem is a local MCP server that gives your AI persistent memory across sessions. It works with any tool that supports the Model Context Protocol β€” an open standard. Today that includes Claude Code, VS Code, Cursor, Windsurf, Zed, Neovim, Cline, Warp, Continue, JetBrains, and more arriving every week. You install it once. Every

7.0CanopyHQ/phloem

In Memoria

Giving AI coding assistants a memory that actually persists. Watch In Memoria in action: learning a codebase, providing instant context, and routing features to files. You know the drill. You fire up Claude, Copilot, or Cursor to help with your codebase. You explain your architecture. You describe your patterns. You outline your conventions. The AI gets it, helps you out, and everything's great. T

8.0pi22by7/In-Memoria