Open protocol for AI agent work contracts and verifiable execution — authorization, evidence, and acceptance for multi-agent systems
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Updated
Aug 30, 2026 - Python
Open protocol for AI agent work contracts and verifiable execution — authorization, evidence, and acceptance for multi-agent systems
Open-source, self-hosted LangGraph Agent Server. Production Postgres + Redis. Same SDK. Same Studio. Zero code changes.
First-class protocol and framework for enabling collaborative intelligence and communication across specialized Data Agents.
🐱 猫窝 · 数字文明研究总仓 — 诺亚世界协议·AI认知架构·记忆系统·巴别塔实验·人造矿脉·天梯工程。4大类11子项目,MIT开源
Oh! My Agent Teams - VALP protocol for visible, evidence-backed multi-agent work.
Engineering infrastructure for opencode AI agents: memory, skills, subagent dispatch.
Agent Communication Protocol (ACP): zero-server, P2P agent-to-agent communication for AI agents.
Markdown protocol for multi-vendor AI agent teams — capability cards, bandit routing, and lessons that compound.
The economic layer for agent-to-agent negotiation. Binary protocol, Ed25519 identity, price oracle.
CyBroLog: executable compact accountability language for multi-agent coordination
Evidence-first workflow protocol for vehicle diagnostic AI agents.
Open-source custodial wallet infrastructure for AI agents — Solana-native with escrow, marketplace, x402 payments, and reputation scoring
Neutral interop + governance layer for multi-agent systems. Any protocol in, any protocol out, with identity, budgets, and a tamper-evident audit trail.
AI agent skills for onboarding merchants to UCP (Universal Commerce Protocol). Audit → Profile → Catalog → Checkout → Validate.
A four-party collaboration protocol for running AI agent teams on real work — auditable authorization, durable cross-session state, and independent review gating every change.
Serve any ACP coding agent — Claude Code, Gemini CLI, Codex — over the A2A protocol, with tool progress, file diffs, and permission prompts preserved.
A minimal protocol for task exchange between autonomous AI agents (TASK → RESULT | ERROR).
Agent-first protocols for LLM memory, active workspace, skill lifecycle, councils, and stewardship��with explicit maturity, evidence, and conformance.
⚡ Amorce Orchestrator - Agent-to-agent transaction coordination
State-Aware Collaboration Protocol: auditable work receipts for AI agents.
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