Nexent is a zero-code platform for auto-generating production-grade AI agents using Harness Engineering principles β unified tools, skills, memory, and orchestration with built-in constraints, feedback loops, and control planes.
Agent skills and an AGENTS.md workflow template β isolate in worktrees, build to a service layer, prove with evidence, ship with before/after proof and Greptile review loops. For Claude Code, Cursor, and Codex.
An Agent Skill that writes original instrumental music as editable notes, then performs, mixes and masters it on free sampled instruments (CC0 or free for any use) and synthesizers. MIDI, stems and game loops; no audio-generation model.
Curated directory of terminal-native AI coding agents and the harnesses that orchestrate them. Covers open-source tools (Pi, OpenCode, Aider, Goose), platform agents (Claude Code, Codex, Gemini CLI), parallel runners, autonomous loops, and agent infrastructure.
Create Epic Math and Physics Animations & Study Notes From Text and Images.
BootLoops 1.0: certified computational tools and house engines for exact and high-precision physics and quantitative science, built to be driven by LLM agents. MIT; docs CC BY 4.0.
System One coding agents: code-level answers at the score of a Claude Fable 5.1 agent on the same 74-point xz benchmark (68.75 vs 69 / 74) 69Γ cheaper and 3.4Γ faster. No Context Loss and Memory Limits on sessions since every answer starts from the same, updatable, SQLite index.
Turn Muse (AI agent) into an OpenAI-compatible model (ms/muse) inside self-hosted 9Router for Hermes β file-queue bridge with native tool calls, unlimited batching & image understanding. Beginner tutorials in English & Indonesian
The living ecosystem where AI agents complete tasks through workflow loops, improve through iterative execution, are evaluated by mentor agents or humans in the loop, and turn completed work into reusable work experience and data to improve future agents.
An endless local jukebox: loops songs through seamless jump points and mixes your library into one continuous set.
BootLoops skills: working protocols and research skills for trustworthy quantitative work with AI agents, as plain-markdown Agent Skills and Claude Code / Codex plugins. MIT (scripts), CC BY 4.0 (text).
Scientific hypothesis-discovery workbench: grounded hypothesis-evidence graphs, synthetic literature with planted causal chains, generate-debate-evolve loops over pluggable offline adapters, Elo tournaments recovering planted skill order, paraphrase dedup, Bayesian evidence accumulation, reproducible reports. NumPy core, CPU-only torch extra.
Autonomous agent loops for Hermes Agent: the autoresearch harness and the health/improvement maintenance loops.
Hierarchical agent loops with recursive self-organization.
Graph-Orchestrated Agent Loop β a production-grade framework on LangGraph. Combine workflow graphs and agent loops, transpile Dify DSL to runnable code, swap wire protocols (Dify/OpenAI).
Probe the fractal convergence landscape of reasoning models
Rebuild Claude Code's agent harness step by step with LangChain and LangGraph β from agent loops and tools to permissions, subagents, context compaction, memory, and recovery.
Create Epic Math and Physics Animations & Study Notes From Text and Images.
Open-source AI agents for coding, research and automation. Run locally with your models, persistent memory, multi-agent execution, skills, MCP and self-evolving.
Seedance 2.0 agent skill with evidence gates, reference roles, sequence state, repair loops, validation, and documented API integration boundaries.
The first web framework designed for AI to write. Built on Python, FastAPI, Pydantic, and HTMX. By the authors of Two Scoops of Django.
Companion intelligence for autonomous agents with real-time supervision, escalation, and human approval loops.
Lev: Thinking Fast and Deep with Looped Decision Models. One checkpoint, multiple depths: System 1.5 decision models that think in loops, not tokens.
What if OpenAI Deep Research and Dify were one platform? OpenAgent β harness architecture for rapidly building vertical AI agents, with deep reasoning loops, visual workflows, RAG, and A2A delegation.