ai-agents

A comprehensive platform for managing, testing, and leveraging Ollama AI models with advanced features for customization, workflow automation, and collaborative development.

A terminal coding agent, and a Python SDK for embedding on-device models in your own apps.

A compact operating covenant for AI agents.

329 agent skills (Cursor, Claude Code & Codex), 5,380 OpenClaw skills, 201 ML notebooks, 9 textbooks, 82 research papers, 85 curated projects, 18 industry reports for PMs, Designers & Developers.

A lightweight, user-friendly LLM Agent framework focused on simplifying data retrieval application development.

Persistent memory for AI agents - Learn, remember, improve. Alternative to Mem0 with scoped learning, anti-patterns, multi-agent sharing, and MCP integration.

Autonomous AI SOC for Wazuh SIEM — 11 security-expert agents triage, correlate, investigate and plan responses 24/7, every action gated by two-tier human approval. Runs on OpenClaw, Hermes or NVIDIA NemoClaw; any LLM, self-hosted vLLM, or fully air-gapped Ollama. Evidence packs, SOC KPIs, Slack approvals.

Production-grade AI evaluation, prompt management & observability SDK. Automated evaluations with sub-100ms guardrails. No human-in-the-loop required. Python + TypeScript.

114 source-backed /goal contracts for coding agents, plus 200 separated seed patterns.

A Codex skill that keeps human outcomes and creative intent ahead of overengineering.

AI-powered multi-agent medical assistant with a deterministic safety layer — crisis detection, refused-topic hard-stops, dosage grounding, and post-generation diagnosis verification running before and after every LLM call, backed by parallel RAG, Wikipedia, and Tavily retrieval with symptom and drug-question routing.

The purpose of the "Meta Agent with More Agents" project is to dynamically solve complex queries by breaking them down into smaller tasks and assigning each to specialized AI agents. The Meta Agent coordinates the process, leveraging a ReAct Agent for tool-based tasks and a Chain of Thought Agent for reasoning-based tasks. The system's flexibility.

Open-source, self-hosted LangGraph Agent Server. Production Postgres + Redis. Same SDK. Same Studio. Zero code changes.

Kronos Agent OS (KAOS): self-hosted runtime for durable AI agents with memory, skills, MCP tools, automations, dashboard, and optional swarm coordination.

Elixir-native LangChain, LangGraph, and DeepAgents for traceable LLM apps: OTP workflows, tools, memory, human-in-the-loop, streaming, custom clients/adapters, minimal deps, and WeaveScope tracing.

Implementation of 12 AI agents evaluation techniques

⚡ Universal Multi-Agent Swarm Plugin with 134+ specialized skills for Antigravity (AGY), Claude Code, and Cursor IDE. Modern 2026 Fullstack (React 19, Tailwind v4, Bun, Next.js 15, MCP v1.9, Rust, Python 3.14).

An 18 notebook course that isolates and measures each component of agentic loop engineering on real, industry standard software datasets.

Layered guardrails to make agentic AI safer and more reliable.

Enterprise AI Agent Orchestration Platform — Secure, Observable, Configurable. Multi-agent teams with IAM policies, n8n workflows, LangChain memory, LangSmith traces, NemoClaw security, OpenTelemetry, and 20+ LLM providers.