ai-agents

Open survey and evidence map for AI agent evolution, self-evolving agents, memory, skills, harnesses, benchmarks, and agent-swarm systems.

Self-hosted AI agent platform built on OpenClaw. Enterprise-ready, offline-capable, open source. 🦞

The self-hosted AI workstation. Autonomous screen agents, 3-tier neural routing, parallel agent swarms, video generation, 4K/8K upscaling, RAG, voice interface, 60+ tool execution engine — all running locally on your hardware.

Context intelligence layer for LLM agents: persistent memory with write-time dedup, sensitivity tagging, conflict detection, and hierarchical decay. ~12ms. No LLM calls. MIT.

Real-time guardrail that shows token spend & kills runaway LLM/agent loops.

c4 GenAI Suite

Cognitive memory database for AI agents — consolidates duplicates, detects contradictions, fades stale memories via temporal decay. Rust, Apache-2.0, ships as library / MCP server / HTTP cluster.

Boring Is All You Need: a Codex Desktop workflow replacement with transactional migration, audit-only managed hooks, risk-based review, scoped checkpoint commits, and release evidence.

Multi-agent LLM system for intelligent replenishment decisions in manufacturing supply chains

从 165 个顶级 AI 产品系统提示词中蒸馏出的 15 个可执行 Agent skill

A portable memory protocol for AI agents — load it as standing rules; a curation discipline + reference spec + optional cap hook.

This GitHub repository contains the complete code for building Business-Ready Generative AI Systems (GenAISys) from scratch. It guides you through architecting and implementing advanced AI controllers, intelligent agents, and dynamic RAG frameworks. The projects demonstrate practical applications across various domains.

Local knowledge graph for AI agents. Hybrid search + MCP server for Obsidian vaults.

Jarvis for your coding agents — the voice layer for Claude Code, Codex, OpenClaw, Hermes & any AI workflow. Your agent speaks; you talk back hands-free.

⚡ TubeCLI — The Ultimate Open Source AI Agents Ecosystem | Agents Browser · Agents Workflow · Agents Studio World

166 production-ready Claude AI skills organized by corporate role — executive leadership, finance, HR, marketing, sales, legal, operations, engineering, product, data, customer success, procurement & document processing

🤖 Visual AI agent workflow automation platform with local LLM integration - build intelligent workflows using drag-and-drop interface, no cloud dependencies required.

Self-hosted framework for orchestrating fleets of specialist AI agents — ensemble reasoning and a full agentic coding pipeline, model-agnostic and local-friendly.

Build software like writing a book

Architecture-first skill lifecycle for AI agents. BinEval binary scoring with threshold-blind, cross-family-calibrated judges, gated self-update loop, pressure testing, 10 authoring principles grounded in empirical research.