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LLM application: 💾 LLM Apps with Memory

LLM application: 💬 Chat with X Tutorials

LLM application: 🎯 LLM Optimization Tools

LLM application: 🔧 LLM Fine-tuning Tutorials

LLM application: 🧑‍🏫 AI Agent Framework Crash Courses

LLM application: 🧠 DevPulse AI - Multi-Agent Signal Intelligence

LLM application: 🛡️ Trust-Gated Multi-Agent Research Team

LLM application: Gemma 3 Fine-tuning

LLM application: Llama 3.2 Fine-tuning

AI-native documentation scanner for JS/TS projects — gives AI agents persistent memory across sessions

Autonomous context-engineered development system with SQLite brain. 5 agents, 14 commands, per-task fresh context, 70-90% fewer tokens.

Cloudflare Workers AI model: Workers AI Models

A self-improving personal agent with memory, messaging integrations, and sandboxed tool execution. [#opensource](https://github.com/NousResearch/hermes-agent)

Five governance questions for your AI agent system. Identity, restraint, accountability, memory, charter. Zero dependencies.

Multi-agent system — multiple Claude Code instances collaborating via messaging

tmux setup for AI agent workflows — Catppuccin theme, pane title sync, clipboard integration, and multi-agent orchestration scripts

Adversarial debate pipeline for code review — Critic, Tester, and Advocate agents debate changes while a Judge produces an actionable checklist

Make your AI agent evolve automatically through iterative harness optimization.

Local-first parallel AI agent swarm runner, built on pi-agent

One-command CLI for AI agents to submit apps and people into Ipe Hub.