260314 GitHub 모음
DB-GPT (18258 stars)
DB-GPT (18258 stars)
AI Native Data App Development framework with AWEL(Agentic Workflow Expression Language) and Agents
출처: https://github.com/eosphoros-ai/DB-GPT
AURORA (17 stars)
AURORA (17 stars)
AURORA (Artificial Unified Responsive Optimized Reasoning Agent) uses lobes and web research for RAG based memory and learning.
출처: https://github.com/Drlordbasil/AURORA
Laddr (338 stars)
Laddr (338 stars)
Laddr is a python framework for building multi-agent systems where agents communicate, delegate tasks, and execute work in parallel. Think of it as a microservices architecture for AI agents — with built-in message queues, observability, and horizontal scalability.
출처: https://github.com/AgnetLabs/Laddr
taskqueue-mcp (67 stars)
taskqueue-mcp (67 stars)
MCP tool for exposing a structured task queue to guide AI agent workflows. Great for taming an over-enthusiastic Claude.
출처: https://github.com/chriscarrollsmith/taskqueue-mcp
openclaw-mission-control (243 stars)
openclaw-mission-control (243 stars)
Mission Control is a simple, real-time web UI for monitoring agents and task workflows. Built with Convex and React, it provides a clean dashboard to track task state, agent activity, and live logs — all synchronized instantly without polling or message queues.
출처: https://github.com/manish-raana/openclaw-mission-control
agent-task-queue (33 stars)
agent-task-queue (33 stars)
Local task queuing for AI agents. Prevents multiple agents from running expensive operations concurrently and thrashing your machine.
출처: https://github.com/block/agent-task-queue
stabilize (83 stars)
stabilize (83 stars)
Queue-Based State Machine - A lightweight workflow execution engine with DAG-based stage orchestration. Unlike simple task queues (like Celery) or advanced orchestrators (like Highway), Stabilize strikes a balance specifically optimized for high-throughput, stateful DAG execution, making it highly suitable for coordinating autonomous AI agents
출처: https://github.com/rodmena-limited/stabilize
OnToology (104 stars)
OnToology (104 stars)
Online tool to automatically generate documentation and evaluation for Ontologies hosted on GitHub
출처: https://github.com/OnToology/OnToology
ontogram (21 stars)
ontogram (21 stars)
Ontogram - an OWL ontology diagram generator
출처: https://github.com/edmondchuc/ontogram
memonto (93 stars)
memonto (93 stars)
Augment AI agents with long-term memory through knowledge graph 🧠
출처: https://github.com/shihanwan/memonto
open-semantic-entity-search-api (200 stars)
open-semantic-entity-search-api (200 stars)
Open Source REST API for named entity extraction, named entity linking, named entity disambiguation, recommendation & reconciliation of entities like persons, organizations and places for (semi)automatic semantic tagging & analysis of documents by linked data knowledge graph like SKOS thesaurus, RDF ontology, database(s) or list(s) of names
출처: https://github.com/opensemanticsearch/open-semantic-entity-search-api
AgentEval (46 stars)
AgentEval (46 stars)
AgentEval is the comprehensive .NET toolkit for AI agent evaluation—tool usage validation, RAG quality metrics, stochastic evaluation, and model comparison—built first for Microsoft Agent Framework (MAF) and Microsoft.Extensions.AI. What RAGAS, PromptFoo and DeepEval do for Python, AgentEval does for .NET
출처: https://github.com/AgentEvalHQ/AgentEval
openclaw-self-healing (24 stars)
openclaw-self-healing (24 stars)
AI-powered self-healing system for OpenClaw Gateway • 4-tier autonomous recovery • macOS & Linux
출처: https://github.com/Ramsbaby/openclaw-self-healing
SaberX (1 stars)
SaberX (1 stars)
Saberx is a trigger based monitoring, alerting and action execution system which can be used for self healing.
출처: https://github.com/LazyWolves/SaberX
ai-powered-self-healing-infrastructure (7 stars)
ai-powered-self-healing-infrastructure (7 stars)
AI-based system for anomaly detection and self-healing automation
출처: https://github.com/arpitamarjeetbiswal-lab/ai-powered-self-healing-infrastructure