ai-agents

Secure autonomous AI agent framework and platform. Build AI teams by describing what you want. Orchestrate agents that can do everything a human can do.

 MCP server providing AI agents with instant access to Apple developer documentation via RAG

A cognition aware database engine for AI agent memory. Purpose built in Rust with WAL, HNSW, knowledge graphs, and speculative context pre assembly. Not a wrapper, a ground up storage engine that thinks.

AI agents worth falling in love with. Built by the community, loved by everyone.❤️

一个多智能体协作应用平台，支持多策略 Agent 调度、多工具编排、RAG 检索增强、会话记忆与执行过程持久化，能够按业务场景动态组织多智能体分工协作，完成复杂任务拆解、工具调用与结果汇聚，提升运维和分析场景的自动化与智能化水平 项目wiki：https://zread.ai/OWWZO/ai-agent

A sophisticated multi-agent AI system for analyzing Indian NSE-listed stocks using real-time data, technical indicators, news sentiment, and advanced AI reasoning.

A programmable Voice AI platform: SIP and WebRTC call control, multi-party mixing, recording, TTS/STT, and pluggable AI agents (ElevenLabs, VAPI, Pipecat, Deepgram) — all driven through a REST API, webhooks, and a WebSocket event stream

Local-first service attribution, stale development server detection, AI runtime health monitoring, and open-weight model capacity planning.

🐴 Prompt-first harness engineering for safer AI coding agent workflows.

《Easy Data x AI》是一门面向所有 AI 爱好者的数据与 AI 基础入门课程。通过双轨学习路径，从数据驱动视角学习构建 AI Agent。

AI Engineering Specially Topics- Agentic AI & GenAI Explanation

Self-hosted app store and runtime for AI agents. Install third-party agents, run them on your infrastructure with your own model providers (Ollama, Bedrock, OpenAI, etc.). Container isolation, credential injection, default-deny egress.

AgC is the open-core platform that powers Open Agentic Compute — a new compute substrate purpose-built for deploying, running, and orchestrating AI agents at scale.

Complete Zero-to-Hero Guide for Vibe Coding, AI-Assisted Development, Local LLMs, Frontend, Backend, DevOps, Cloud, Hosting, Debugging, Deployment, and AI-Native Software Engineering.

🚀 The complete guide to vibe coding — build software with AI through natural language prompts. Tools, frameworks, best practices, and resources curated by Taskade.

Engineering deterministic, production-grade systems around non-deterministic LLMs — FSM, durable execution, retries, DAGs, agent runtimes, model routing, edge inference, RAG, memory, multi-agent orchestration, security, and observability. 14 runnable proof-of-concept phases.

MCP server that saves Claude Code tokens by delegating bounded tasks to local or cloud LLMs. Works with LM Studio, Ollama, vLLM, DeepSeek, Groq, Cerebras.

Turn scattered notes, docs and transcripts into a queryable Markdown wiki — an LLM knowledge-base compiler with MCP access, no embeddings, self-hosted.

Shared memory + orchestration for your coding agents — one MCP server, persistent vector memory, agent registry

Awesome-Prompt-Engineering - This repository includes resources for prompt engineering. 🌟 Star if you like it!