Autonomous AI agents that perform tasks independently
Zer0Q
A cognitive runtime architecture for LLM continuity, memory, identity, and safe pseudo-conscious agents.
Init-Abdellm
The first of a kind "AGENT AS A BACKEND" : Advanced AI/ML Agent Framework with TypeScript support, multi-model capabilities, vision controls, and comprehensive AI/ML model support including LLM, SLM, MLM, Vision, ASR, TTS, RL, GNN, RNN, CNN, GAN, Diffusion, Transformer, MLP, Autoencoder, BERT, RAG, Hybrid, Foundation, and fine-tuning
...moresynaptiai
Agent Capability Standard is an open specification for composable AI agent capabilities. It defines 36 atomic capabilities across 9 cognitive layers, a type-safe workflow DSL, and grounded world modeling with trust-aware conflict resolution. Built on the Grounded Agency philosophy, it makes agent reliability structural—not optional.
...moreoabdelmaksoud
Multi-agent AI team builder for OpenClaw — bootstrap complete teams with auto-dispatcher, dashboard, and infrastructure
fernandosalomao
Certinator AI is a multi-agent system that assists students in preparing for Microsoft certification exams.
MuhammadYossry
Python Library for AI/LLM Agent Development with UI-Driven Workflows and Actions
OpenAEC-Foundation
Multi-agent orchestrator for Claude Code. Spawn, coordinate and monitor AI agents in parallel — no API key required.
aguerra09
Lightweight framework for building agents on top of OpenAI Chat Completions LLMs
zgz682000
Your one person multi-agent game dev studio framework
kimtth
⚖️Agentic Context Engineering implementation using Agent Framework
sattyamjjain
Production-grade AgentOps control plane for safe AI agent execution. Dual-plane architecture: Rust governance engine + Python LLM runtime + Next.js dashboard. Deny-by-default policies, budget enforcement, approval gates & audit logging.
...moreopen-v2ai
chagent = chat + agent
ginkida
Go framework for building AI agents with tool use, multi-agent orchestration, and planning. Supports OpenAI, Gemini, Anthropic, and Ollama.
...morefiv3fingers
Production-ready Phidata AI agent implementations covering 16+ use cases: data analysis, financial advisory, healthcare diagnostics, content generation, web research, and multi-agent systems. Perfect starter kit for developers building intelligent, tool-equipped agents with memory and reasoning.
...moredevdezzies
A light-weight framework for building AI agents with Native OpenAI API compatibility
hastekit
Open source Golang LLM wrapper, Agent SDK with Restate & Temporal support for durable agent loop
jimmyjdejesus-cmyk
🔬 Implementation of agent coordination architectures and scaling principles from 'Towards a Science of Scaling Agent Systems' (arXiv:2512.08296). Research-backed multi-agent framework with benchmarks and validation.
...morecristofima
GraphRAG, MCP integration, orchestration, evaluation using Azure AI and Microsoft Agent Framework
Scottcjn
ShaprAI — Agent Sharpener by Elyan Labs. Sharpen raw models into principled, self-governing Elyan-class agents. Requires beacon-skill, grazer-skill, atlas, RustChain.
...moreJohnnyFiv3r
Drop-in causal memory for AI agents. Append-only event store with associations and bounded prompt injection.
StanleyPrime
基于 Streamlit 的多模态 AI Agent Demo
Pact-Lang
A typed, permission-enforced language for orchestrating AI agents. Compile-time contracts, built-in guardrails, multi-backend dispatch.
...moresnath-ai
A self-correcting RAG demo built using the Làr Engine
Professor-Low
Autonomous AI agent platform with persistent cognitive memory — 49 MCP tools, OODA cognitive loop, browser automation, and multi-agent orchestration. Give your AI agents a brain that remembers, reasons, and learns.
...more