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Loop until it's better — drop-in agentic loops (autoresearch, scientific writing, data analysis, code/SQL/prompt optimization, red-teaming) as open-standard Agent Skills. Verification-gated; native on Claude Code, portable across Codex, Cursor & other Skills hosts.
Claude Code skill + subagent for setting up guardrailed agentic loops (loop engineering): headless, evaluator-optimizer, meta/prompt-refinement, and fan-out patterns.
Run a company of AI agents on a server you own. Spin up named agents (claude, codex, grok…), put them on an org chart with a shared backlog, let them hand off work and ping your phone only when a human must decide. MIT.
Claude Code skill to set up loop engineering: an autonomous, self-running AI coding agent that discovers work, verifies it with a separate checker agent, and repeats until a verifiable goal is met.
OpenAI-compatible API that routes each request through a multi-model proposer/refuter/synthesizer pipeline. FastAPI, native tool calling, pluggable OpenRouter and mock upstreams.
Language-agnostic best practices for building reliable agentic loops. Pillar-by-pillar guide to goals, persistent state, verification gates, guardrails, and anti-patterns. Zero dependencies.
An autonomous support agent prototype that runs as an agentic loop, classifies incoming tickets, retrieves evidence from docs and past resolutions, and drafts cited answers using DeepSeek.