Production-ready AI agent orchestration platform with 66 specialized agents, 213 MCP tools, ReasoningBank learning memory, and autonomous multi-agent swarms. Built by @ruvnet with Claude Agent SDK, neural networks, memory persistence, GitHub integration,
Secure Smart Contract library for Solidity
Server & Client SDK for Agent2Agent protocol
Cloud and zero-trust agentic workflow marketplace for skills, agents, rules, MCP references, and compliance-aware architecture.
Agentic AI utils which work with any LLM and TypeScript AI SDK.
Secure Smart Contract library for Solidity
A debug logger package for other Google libraries
Tunnels library for Visual Studio tools
[Optimism] L1 and L2 smart contracts for Optimism
Tunnels library for Visual Studio tools
Small agentic loop
Agentic SDK for People Data Labs.
Contracts for Optimism Specs
Agentic adapter for the Vercel AI SDK.
Agentic SDK for the SearXNG meta search engine.
Lightdash CLI tool
Agentic SDK for Tavily.
Tunnels library for Visual Studio tools
Dual-protocol payment infrastructure for autonomous AI commerce (AP2 + ACP)
GitHub Copilot CLI brings the power of Copilot coding agent directly to your terminal.
Agentic SDK for the Exa search engine.
A history of deployments of the Delegation Framework
Chainlink smart contracts for CCIP
Secure Smart Contract library for Solidity
Shared contracts for the AgenticOS ecosystem - traits, types, and standards that all sisters implement
Policy engine for AI agents — governance, risk limits, approvals, and compliance
MandateClaw-DSL is a Ruby DSL for defining programmatic, signed, and auditable contracts that govern what an AI agent is and isn't allowed to do on behalf of a human or organisation.
MandateClaw-DSL is a Ruby DSL for defining programmatic, signed, and auditable contracts that govern what an AI agent is and isn't allowed to do on behalf of a human or organisation.
Wraps RubyLLM::Chat with input/output contracts, business-rule validation, retry with model escalation on validation failure, pre-flight cost ceilings, and an evaluation framework. Sibling abstraction to RubyLLM::Agent — same niche (reusable class-based prompts), wider contract.
A failure-aware, contract-driven Ruby client for the Ollama API. Provides deterministic /generate with strict JSON schema validation, automatic model pulling, exponential backoff on timeouts, and observer-style streaming hooks. Designed for Rails background jobs and agent planners — not a chatbot UI.
Temporal planning horizon modeling for brain-modeled agentic AI — dynamic expansion/contraction based on stress, success, and construal level theory