Agents
2,229Autonomous AI agents that perform tasks independently
A cognitive runtime architecture for LLM continuity, memory, identity, and safe pseudo-conscious agents.
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
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.
Multi-agent AI team builder for OpenClaw — bootstrap complete teams with auto-dispatcher, dashboard, and infrastructure
Certinator AI is a multi-agent system that assists students in preparing for Microsoft certification exams.
Python Library for AI/LLM Agent Development with UI-Driven Workflows and Actions
Multi-agent orchestrator for Claude Code. Spawn, coordinate and monitor AI agents in parallel — no API key required.
Lightweight framework for building agents on top of OpenAI Chat Completions LLMs
Your one person multi-agent game dev studio framework
⚖️Agentic Context Engineering implementation using Agent Framework
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.
Go framework for building AI agents with tool use, multi-agent orchestration, and planning. Supports OpenAI, Gemini, Anthropic, and Ollama.
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.
A light-weight framework for building AI agents with Native OpenAI API compatibility
Open source Golang LLM wrapper, Agent SDK with Restate & Temporal support for durable agent loop
🔬 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.
GraphRAG, MCP integration, orchestration, evaluation using Azure AI and Microsoft Agent Framework
ShaprAI — Agent Sharpener by Elyan Labs. Sharpen raw models into principled, self-governing Elyan-class agents. Requires beacon-skill, grazer-skill, atlas, RustChain.
Drop-in causal memory for AI agents. Append-only event store with associations and bounded prompt injection.
A typed, permission-enforced language for orchestrating AI agents. Compile-time contracts, built-in guardrails, multi-backend dispatch.
A data-driven, cryptographically signed, registry-backed AI operating system, with capability-scoped execution and graph-executable workflows — living inside your projects, running through a recursive MCP that goes as deep as you dare.