A

ai-agents

An AI ecosystem radar that detects structural shifts in open-source AI by analyzing GitHub, Hacker News, and Reddit, then clustering signals into long-term patterns.

Route each subagent to the cheapest capable model - about 70% off execution-tier tokens in our tests (Claude Code / any multi-tier agent platform)

Teach your AI agent to acquire capabilities on its own - find existing skills before building one (Claude Code / any LLM)

Download a ready-to-run AI-agent team you own. Works across Claude Code, Cursor, Codex and more, with no lock-in.

Multi-agent collaboration and logging standard - pull rules, task handoff, flow-back, team journal (Claude Code / any LLM)

Let your AI agent reach your phone via ntfy - setup, CJK encoding pitfalls, when-to-call discipline (Claude Code / any LLM)

Real-world AI usage playbook: what actually works, from daily hands-on use. lucio 的 AI 实战手记（中文）。

Build, migrate or mount a portable multi-agent workspace. Plain text, zero dependencies, moves across Claude Code, Cursor, Codex and Copilot.

Sharpen the axe before cutting wood - fool-proof requirement clarification skill for AI agents (Claude Code / Cursor / any LLM)

A predictions ledger with forced settlement for AI agents: log every judgment as a bet, settle it against reality, distill recurring biases into rules. Learns from outcomes, not corrections.

Know your user: a USER.md that grows. Your AI's understanding of you in a file you own — hand-written lane + agent-curated lane, no silent rewrites, moves when your folder moves.

Describe an AI agent, get a ready-to-run agent home with persona, memory and a growth loop. Build one agent or a whole collaborating team.

Local-first, human-in-the-loop AI hiring assistant (v0.5, recruiting module only). 本地优先、人在环的 AI 招聘决策辅助。

An Agent Skill that makes public copy clearer and more human without flattening facts, context, intent, or technical meaning.

Course notes and examples from The Perl & Raku Conference 2026. The examples being with a simple time-string service, extending it from current time through user time, timezone handling, and multiple times. Further examples are a basic local git and remote GitLab MCP, an MCP registry, and a basic Pull Request handler. All examples are on separate branches.

Kahin;hibrit bir cdp ansiklopedisi ve anti-detect browser otomasyon mcpsidir. Yerleşik olarak obscura ve camoufox kullanır,dinamik olarak göreve göre seçer. Seçimi ajanınız yapar.

Multi-platform AI dev-team orchestration with a single canonical knowledge base. Plan-Approve-Execute workflows, validation gates, projected to GitHub Copilot, Gemini CLI, Opencode, and Cursor.

Concurrent Workspace & Swarm Orchestrator — a deterministic Go-kernel MCP backend orchestrating LLM sub-agent swarms in ephemeral in-memory Git Shadow Workspaces with semantic AST merge.

Desktop kanban board for the markdown tickets your AI coding agents leave behind. Reads files directly — Claude, Codex, Gemini, Copilot, local models all push to the same folder.

Kevlar Benchmark: OWASP Top 10 for Agentic Apps (AI-Agents) 2026 a Red Team Benchmark.