Search results for "governance"
Cognithor - Agent OS: Local-first autonomous agent operating system. 16 LLM providers, 17 channels, 112+ MCP tools, 5-tier memory, A2A protocol, knowledge vault, voice, browser automation, Computer-us
Official MCP Servers for AWS
ArifOS β Constitutional MCP kernel for governed AI execution. AAA architecture: Architect Β· Auditor Β· Agent. Built for the open-source agentic era.
A sovereign cognitive architecture with IIT 4.0 integrated information, residual-stream affective steering (CAA), Global Workspace Theory, active inference, and 72 consciousness modules β running loca
Automatically Update LLM-Agent Papers Daily using Github Actions (Update Every 12th hours)
METAβAGENTIC Ξ±βAGI ποΈβ¨ β Mission π― Endβtoβend: Identify π β OutβLearn π β OutβThink π§ β OutβDesign π¨ β OutβStrategise βοΈ β OutβExecute β‘
Automated security investigation tool using Microsoft MCP Servers, GitHub Copilot, Python Modules and custom copilot-instructions.
AG2 (formerly AutoGen): The Open-Source AgentOS.Join us at: https://discord.gg/sNGSwQME3x
The open source AI engineering platform for agents, LLMs, and ML models. MLflow enables teams of all sizes to debug, evaluate, monitor, and optimize production-quality AI applications while controllin
The conversational control layer for customer-facing AI agents - Parlant is a context-engineering framework optimized for controlling customer interactions.
Enterprise-ready MCP Gateway & Registry that centralizes AI development tools with secure OAuth authentication, dynamic tool discovery, and unified access for both autonomous AI agents and AI coding a
A Low-Code MCP Framework for Building Complex and Innovative RAG Pipelines
Unify Claude Code, Codex, Cursor, and Gemini CLI with persistent context, governance, and multi-model debate. 186 MCP tools. 123 tests.
JSON Agents - A universal JSON-native standard for describing AI agents, their capabilities, tools, runtimes, and governance in a portable, framework-agnostic format. Based on RFC 8259, JSON Schema 2
754 structured cybersecurity skills for AI agents Β· Mapped to 5 frameworks: MITRE ATT&CK, NIST CSF 2.0, MITRE ATLAS, D3FEND & NIST AI RMF Β· agentskills.io standard Β· Works with Claude Code, GitHub Cop
OSCAL tools for AI agents
The building blocks of an enterprise adoption framework for agentic coding β technical training, adoption playbooks, governance policies, industry analysis, proposal templates, and practical workflo
A thing that uses AI to write perfect applications. For those who want to know how: a governance runtime enforcing immutable constitutional rules on AI coding agents.
Project CodeGuard is an open-source, model-agnostic security framework that embeds secure-by-default practices into AI coding agent workflows. It provides comprehensive security rules that guide AI as
Self-evolving AI agent framework with 5-layer safety gatekeeper. Agents observe failures, propose fixes, and safely apply them. Built on HKUDS/nanobot.
Protect AI agents by detecting and blocking prompt, command injection, Unicode bypass, and social engineering attacks with customizable security controls.
ACR Control Plane: runtime control & governance for agentic AI (six-pillar enforcement).
MCP server for 28 security frameworks (ISO 27001, NIST CSF 2.0, NIST 800-53, SOC 2, IEC 62443)