MCP server for self-verifying AI agent loops: schedules, independent checker gates, stop rules, worktree isolation & durable state. Built for Cursor/Kiro/Claude via MCP. Inspired by the loop-engineering work of @addyosmani, @anthropics, and Codez (@0xCodez).

ZtotheZ Design Engineering: An MCP-backed closed-loop architecture for product design, interface verification, automated repair, and strict UI quality gates.

Deterministic code-graph context engine for AI coding agents - PostgreSQL + Apache AGE + pgvector, MCP & REST, no LLM in the loop.

MCP server for Flax Engine projects with a live editor bridge: compile, play and test loops without manual steps. Fork of eXoz00rd/FlaxMCP.

Closed-Loop Analog & RF Circuit Engineering Framework for AI Agents (LTspice CLI, MCP Server, E24 Sizing, Vision-to-SPICE & 16px .asc Schematic Compiler)

Empathetic AI engineering partner with cognitive memory, multi-agent orchestration (10 agents), 132-signal skill routing, and self-improving reflection loops. Built on Model Context Protocol. By Aldo Karendra.

Loop engineering substrate for coding agents — state, lossless optimization, and hook enforcement: verify-gated loops that can't lie, run away, or go broke. For Claude Code, Codex, Cursor, Gemini CLI, VS Code Copilot, and any MCP client.

Local-first RAG engine with hybrid search, BGE reranker, self-learning loop, and MCP server

PMLL Memory MCP Server v2.0.3 — persistent memory logic loop with short-term KV cache (peek pattern), Q-promise deduplication, Context+ long-term semantic memory graph, and solution engine. Four-way benchmarked: Combined Context+ + PMLL/peek delivers 36ms

Governed MCP + Skills agent platform over a legacy engineering-ops system: entitlements, audit, human-in-the-loop writes, eval-gated releases, OpenTelemetry tracing.

SEOSIRI Theranostic Autonomous Loop (STAL) Core Engine - Unified Model Context Protocol (MCP) orchestrating BioAssay micro-validation, Biopharma molecular docking, and BioRobotics surgical kinematics with HIPAA zero-retention PII scrubbing.

High-frequency in-browser behavior tree execution engine for autonomous AI agents — 60Hz tick loops, reactive triggers, telemetry recordings, and safety guardrails.

An enterprise-grade autonomous AI orchestration engine implementing Model Context Protocol (MCP) to manage GitHub repositories, branches, files, issues, and pull requests via Gemini AI natural language instructions, featuring built-in human-in-the-loop security guardrails, destructive action interception, and granular audit logging.

OmniGuild: The All-In-One AI Developer Engine — 16-Mind Supreme Council, Autonomous Devin Agent Loop, AST Test Generator, Living Architecture Docs, Semantic Changelog, LAN Brain Sync, BM25 memory, AST repo-map, Letta pager, Cognee knowledge graph, SWE-age

Cognitive reconstruction engine for AI agents — Python SDK + CLI. Loop-Ready Contract: cursor-paged settle feed (snapshot_transitions: next_cursor, horizon_tx, truncated) + structural causal model view (snapshot_scm); KARM contract surface: CognitiveSnapshot with laws/policies/failures/uncertainty, CognitiveStateProvider/Sink traits; LawExtractor; PolicyRegistry; MDL sparsity GC; 64-tool / 7-resource MCP; WAL-persistent. LangChain, AutoGen, CrewAI, MCP

Open-source command center for governed AI coding agents with built-in onboarding, hard gates, MCP, and shareable run receipts.

Deterministic memory layer for your agents

Permission-safe prompt refinement and bounded graph orchestration for Codex, Claude Code, Cursor, and GitHub Copilot.

A MCP server implementing the Dual-Cycle Metacognitive Reasoning Framework for autonomous agents. A loop prevention and experience recall mechanism.

MCP server that detects and prevents infinite agent loops — circuit breakers, pattern detection, and stuck-agent recovery for agentic systems

Agent-agnostic harness that takes a hardware spec to a verified prototype — any AI coding agent, any OS. Deterministic and human gates keep every step auditable.

Provider-neutral MCP server for software engineering: requirements, goals, milestones, portable implementation plans, verification and durable handover for coding agents, backed by SQLite.

MCP server that enforces multi-agent scope boundaries — prevents scope drift, work duplication, and infinite delegation loops in agentic systems

Enterprise-grade AI commerce gateway — MCP-native policy engine that makes any merchant safely transactable by AI agents. Explainable, bounded, and cryptographically audited.

A deterministic control plane for agentic engineering workflows.

Criterion Loom: meaning-first audit tools for Codex work—requirements, plans, diffs, and completion evidence via CLI, MCP, and a companion skill.

MCP server for TypeSafe AI's Jev: typed yes/no, choice and score answers with act / review / abstain gating.

🐋 Whisper to your running AI：给 WorkBuddy 挂一只会传话的小鲸鱼——任务跑得正欢，点一下挂件就能补充提示，不打断、不等候。MCP Apps + Hooks + PySide6 悬浮挂件。

Find, explain, and safely fix bad data. Local-first data quality for files, databases, CI pipelines, and AI agents.

Enhanced MCP server for Godot 4.5-4.7: 33 tools / 199 actions, 3-layer architecture (headless + editor + game bridge), secure sandbox, recording & frame-verify, cross-version CI.

The agentic workspace where people and agents work together in the loop.

Claude agent that finds, fixes and verifies faults in a simulated 100-vehicle fleet through a Go MCP server. Code-enforced write and stale-data checks, a ground-truth eval harness, and a rule-based baseline: Claude 6/6 vs rules 0/6 when the fix is only in the manual.

Secure MCP and automation hub for CareerOps, integrating n8n and OpenClaw with durable workflows, human review, PostgreSQL and an AI Agent Engine

MCP server for NEC2 wire-antenna method-of-moments simulation — dipole, Yagi, vertical, loop, inverted-V. Gain patterns, impedance, VSWR.

Meta-Forge Workshop: turn recurring work into governed AI workflow assets. MCP server + Claude Code plugin + dsh plugin — staged writes, evals-gated forging, inference engine. 元铸工坊 SOSOFAST：把最佳实践铸成可治理的 AI 工作流资产

Real-time MCP server that tracks context budget, detects agent loops, and alerts before token overflow — for Claude Code, Cursor, and any MCP-compatible AI tool.

Cognitive middleware for personal and enterprise AI agents: 14 MCP tools and a REST API for intent mirroring, persona/context profiling, decision support, memory, guardrail checks, and approval workflows. Deterministic offline engines with optional live Jev, SQLite/PostgreSQL, and Docker.

Open-source workflow engine for AI agents. An agent calls Realm over MCP, or realm agent drives a model from the CLI. Steps run in order, agent answers are checked against the schema a step declares, human gates pause the run until answered, and each finished step is recorded.

MCP Toolkit for Flutter AI Agent Driven Development (MCP/CLI + custom client side tools) - via closed feedback loop (visual & semantic snapshot) and high client side customization adaptable for any Flutter app. Nowadays it is often called as agentic harness.

Evidence tools for coding agents on Windows desktop (WPF) apps: 64 DSH/MCP tools (25 read-only) to build, drive the UI, capture API traffic and diagnose perf/hangs in a live client, plus an optional Harness² improvement loop.

Stop AI coding agents from guessing. MCP server + Claude Code plugin that enforces intent alignment BEFORE coding: PRD → intent-confidence gate → Mermaid contracts (state machines / sequence diagrams / decision tables) → mechanical lint with zero CRITICAL → then code. Human-in-the-loop, file-persisted, zero-config.