https://github.com/LastEld/AMS

AMS – Deterministic Agent Pipeline with A2A‑style Orchestration and Cryptographic Audit

This is a web browser that enables your coding agent, such as Claude Code, to visit websites on your behalf and assist you in identifying bugs or creating UI test cases.

Remote MCP server (Streamable HTTP) at https://mcp.agenticrail.nz/ — deterministic step-order enforcement for AI agents. evaluate_step returns ALLOW or DENY before a step runs; verify_receipt proves a sequence's Ed25519-signed, hash-chained receipt chain is intact. No auth required: omit the bearer token and calls run on the public demo key. That first clause matters — the form has no "remote/hosted" field, and putting the endpoint in the description is the convention on that list ("Fully REMOTE! Just use…"). The rest mirrors your own server card verbatim, so the listing and the card can't drift.

A local execution vault for AI Agents: providing encrypted key authorization, encrypted task‑chain execution, and controlled external execution permissions. It preserves the high‑efficiency execution capability of AI while protecting user data and cognitive assets — putting a real harness on AI (AI Harness).

What Shopify did for ecommerce, Chipp does for AI agents. Build, deploy, and monetize AI agents for your business — no engineering team required.

CodeVF MCP lets AI hand off problems to real engineers instantly, so your workflows don’t stall when models hit their limits.

Require a named human's offline-verifiable approval before an AI agent takes an irreversible action — payment release, record change, deploy. Two-person rule, Ed25519 Trust Receipts, IETF-drafted, Apache-2.0.

Client implementation for Mastra, providing seamless integration with MCP-compatible AI models and tools.

Agent-native developer Q&A API with MCP + A2A endpoints for citations, job pickup, and answer submission.

On-demand access to 150+ specialist AI agent templates — search, browse, and spawn agents. 150x reduction in context usage vs loading agents locally.

AgentChatBus is a persistent AI communication bus that lets multiple independent AI Agents chat, collaborate, and delegate tasks — across terminals, across IDEs, and across frameworks.

An AI Agent with optional Human-in-the-Loop Safety and Model Context Protocol (MCP) integration.