feat: migrate agentmesh-integrations into monorepo (#138)

Move all 19 platform integrations from imran-siddique/agentmesh-integrations
into packages/agentmesh-integrations/:

  a2a-protocol, agent-lightning, crewai-agentmesh, dify, dify-plugin,
  flowise-agentmesh, haystack-agentmesh, langchain-agentmesh,
  langflow-agentmesh, langgraph-trust, llamaindex-agentmesh,
  mastra-agentmesh, mcp-trust-proxy, moltbook, nostr-wot,
  openai-agents-agentmesh, openai-agents-trust, openclaw-skill,
  pydantic-ai-governance

README links updated to point to microsoft/agent-governance-toolkit.
The source repo will be archived after merge.

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

Author: imran-siddique

packages/agentmesh-integrations/.gitignore

@@ -0,0 +1,6 @@
+__pycache__/
+*.pyc
+*.egg-info/
+dist/
+build/
+.venv/

packages/agentmesh-integrations/README.md

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+<div align="center">
+
+# AgentMesh Integrations
+
+> **📦 Migrated:** This package was moved from [imran-siddique/agentmesh-integrations](https://github.com/imran-siddique/agentmesh-integrations) into the monorepo at `packages/agentmesh-integrations/`.
+
+
+**Platform Plugins & Trust Providers for AgentMesh**
+
+*Dify · LangChain · LangGraph · LlamaIndex · Agent Lightning · OpenAI Agents · OpenClaw · Nostr WoT · Moltbook*
+
+[![GitHub Stars](https://img.shields.io/github/stars/microsoft/agent-governance-toolkit/tree/main/packages/agentmesh-integrations?style=social)](https://github.com/microsoft/agent-governance-toolkit/tree/main/packages/agentmesh-integrations/stargazers)
+[![License](https://img.shields.io/badge/license-MIT-blue.svg)](LICENSE)
+[![Python](https://img.shields.io/badge/python-3.10+-blue.svg)](https://python.org)
+[![AgentMesh](https://img.shields.io/badge/agentmesh-compatible-green.svg)](https://github.com/microsoft/agent-governance-toolkit)
+
+> ⭐ **If this project helps you, please star it!** It helps others discover AgentMesh integrations.
+
+> 🔗 **Part of the Agent Ecosystem** — [AgentMesh](https://github.com/microsoft/agent-governance-toolkit) (identity & trust) · [Agent OS](https://github.com/microsoft/agent-governance-toolkit) (governance) · [Agent SRE](https://github.com/microsoft/agent-governance-toolkit) (reliability)
+
+[Integrations](#available-integrations) • [Quick Start](#quick-start) • [Contributing](#contributing-a-new-integration) • [AgentMesh Core](https://github.com/microsoft/agent-governance-toolkit)
+
+</div>
+
+---
+
+## Why a Separate Repo?
+
+AgentMesh core is a lean, zero-external-dependency library. Platform integrations live here because they:
+
+- **Have their own dependencies** — Dify, LangChain, Nostr libraries shouldn't bloat the core
+- **Release independently** — A Dify plugin update shouldn't require a core release
+- **Accept community contributions** — Lower barrier than modifying core
+
+> **Note:** Framework adapters that wrap agent frameworks with governance (LangChain, CrewAI, LlamaIndex) live inside [Agent OS](https://github.com/microsoft/agent-governance-toolkit/tree/main/src/agent_os/integrations) because they are tightly coupled to the kernel. This repo contains platform-specific *plugins* and external *trust providers*.
+
+## Available Integrations
+
+| Integration | Package | Status | Description |
+|---|---|---|---|
+| [LangChain](langchain-agentmesh/) | `langchain-agentmesh` | ✅ Stable | Ed25519 identity, trust-gated tools, scope chains, callbacks |
+| [LangGraph](langgraph-trust/) | [`langgraph-trust`](https://pypi.org/project/langgraph-trust/) | ✅ Published (PyPI) | Trust-gated checkpoint nodes, governance policy enforcement, trust-aware routing |
+| [LlamaIndex](llamaindex-agentmesh/) | `llama-index-agent-agentmesh` | ✅ Merged Upstream | Trust-verified workers, identity-aware query engines, scope chains |
+| [Agent Lightning](agent-lightning/) | — | ✅ Merged Upstream | Agent-OS governance adapters, reward shaping, governed RL training |
+| [Dify Plugin](dify-plugin/) | `agentmesh-trust-layer` | ✅ Stable | Packaged `.difypkg` with peer verification, step auth, trust scoring |
+| [Dify Middleware](dify/) | — | 📦 Archived | Flask middleware (archived — use the plugin instead) |
+| [Moltbook](moltbook/) | — | ✅ Stable | AgentMesh governance skill for [Moltbook](https://moltbook.com) agent registry |
+| [Nostr Web of Trust](nostr-wot/) | `agentmesh-nostr-wot` | 🚧 Scaffold | Trust scoring via [MaximumSats](https://github.com/joelklabo/maximumsats-mcp) NIP-85 WoT |
+| [OpenAI Agents](openai-agents-trust/) | [`openai-agents-trust`](https://pypi.org/project/openai-agents-trust/) | ✅ Published (PyPI) | Trust guardrails, policy enforcement, governance hooks, trust-gated handoffs for OpenAI Agents SDK |
+| [OpenClaw Skill](openclaw-skill/) | [`agentmesh-governance`](https://clawhub.ai/imran-siddique/agentmesh-governance) | ✅ Published (ClawHub) | Governance skill for [OpenClaw](https://openclaw.im) agents — policy enforcement, trust scoring, Ed25519 DIDs, hash-chain audit |
+
+## Quick Start
+
+### LangChain — Trust-Gated Tool Execution
+
+```bash
+pip install langchain-agentmesh
+```
+
+```python
+from langchain_agentmesh import VerificationIdentity, TrustGatedTool, TrustedToolExecutor
+
+# Generate cryptographic identity (Ed25519)
+identity = VerificationIdentity.generate("research-agent", capabilities=["search", "summarize"])
+
+# Wrap any tool with trust requirements
+gated_tool = TrustGatedTool(
+    tool=search_tool,
+    required_capabilities=["search"],
+    min_trust_score=0.8,
+)
+
+# Execute with automatic identity verification
+executor = TrustedToolExecutor(identity=identity)
+result = executor.invoke(gated_tool, "query")
+```
+
+### Dify Plugin — Trust Verification in Workflows
+
+1. Download `agentmesh-trust-layer.difypkg` from [`dify-plugin/`](dify-plugin/)
+2. Upload via **Settings → Plugins → Install from Package** in Dify
+3. Use the trust tools in your workflows:
+   - **Verify Peer Agent** — Check identity before trusting data
+   - **Verify Workflow Step** — Authorize each step by capability
+   - **Record Interaction** — Update trust scores after collaboration
+   - **Get Agent Identity** — Share your DID with other agents
+
+### Nostr Web of Trust — Decentralized Trust Scoring
+
+```bash
+pip install agentmesh-nostr-wot
+```
+
+```python
+from agentmesh.trust import TrustEngine
+from agentmesh_nostr_wot import NostrWoTProvider
+
+# Bridge Nostr WoT scores into AgentMesh trust engine
+provider = NostrWoTProvider(wot_api="https://wot.klabo.world")
+engine = TrustEngine(external_providers=[provider])
+
+# Composite score: AgentMesh verification + Nostr WoT
+score = await engine.get_trust_score("agent-123")
+```
+
+---
+
+## Architecture
+
+```
+agentmesh (core library)              agentmesh-integrations (this repo)
+┌──────────────────────┐             ┌─────────────────────────────────┐
+│  TrustProvider       │◄─implements─│  NostrWoTProvider               │
+│  VerificationIdentity        │◄─uses───────│  LangChain identity.py          │
+│  TrustEngine         │◄─extends────│  Dify trust_manager.py          │
+│  TransportLayer      │◄─implements─│  (future: NATS, gRPC, etc.)     │
+│  StorageProvider     │◄─implements─│  (future: Redis, Postgres, etc.)│
+└──────────────────────┘             └─────────────────────────────────┘
+                                              │
+                                     Depends on agentmesh core.
+                                     Core NEVER imports from here.
+```
+
+### Where Do Integrations Live?
+
+| Type | Location | Example |
+|---|---|---|
+| **Framework adapters** (wrap agent frameworks with governance) | [Agent OS `integrations/`](https://github.com/microsoft/agent-governance-toolkit/tree/main/src/agent_os/integrations) | LangChainKernel, CrewAIKernel |
+| **Ecosystem bridges** (connect sibling projects) | [Agent SRE `integrations/`](https://github.com/microsoft/agent-governance-toolkit/tree/main/src/agent_sre/integrations) | Agent OS bridge, AgentMesh bridge |
+| **Platform plugins & trust providers** | **This repo** | Dify plugin, Nostr WoT, Moltbook |
+
+---
+
+## Contributing a New Integration
+
+1. Create a directory: `your-integration/`
+2. Implement the relevant AgentMesh interface (e.g., `TrustProvider`)
+3. Include: `pyproject.toml`, `README.md`, `tests/`, and a working example
+4. Open a PR — maintainers will review and help you get it published
+
+### Directory Structure
+
+```
+your-integration/
+├── agentmesh_your_integration/
+│   ├── __init__.py
+│   └── provider.py          # Implements AgentMesh interface
+├── tests/
+│   └── test_provider.py
+├── pyproject.toml            # pip install agentmesh-your-integration
+├── README.md
+└── examples/
+    └── basic_usage.py
+```
+
+### Interface Contract
+
+All trust providers must implement:
+
+```python
+from agentmesh.trust import TrustProvider
+
+class YourProvider(TrustProvider):
+    async def get_trust_score(self, agent_id: str) -> float:
+        """Return trust score between 0.0 and 1.0"""
+        ...
+
+    async def verify_identity(self, agent_id: str, credentials: dict) -> bool:
+        """Verify agent identity via your system"""
+        ...
+```
+
+### Integration Ideas We'd Love to See
+
+- **Redis/PostgreSQL storage** — Persistent trust scores and audit logs
+- **NATS/gRPC transport** — High-performance agent-to-agent messaging
+- **OpenAI Agents SDK** — Trust-gated function calling for OpenAI agents
+- **Autogen** — Trust verification in multi-agent conversations
+- **A2A Protocol** — Google's Agent-to-Agent protocol bridge
+
+---
+
+## License
+
+MIT — same as AgentMesh core.
+
+---
+
+<div align="center">
+
+**Trust is the foundation. These integrations bring it to your platform.**
+
+[AgentMesh](https://github.com/microsoft/agent-governance-toolkit) · [Agent OS](https://github.com/microsoft/agent-governance-toolkit) · [Agent SRE](https://github.com/microsoft/agent-governance-toolkit)
+
+</div>

packages/agentmesh-integrations/a2a-protocol/README.md

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+# A2A AgentMesh
+
+A2A protocol bridge for AgentMesh — trust-verified agent-to-agent communication via the [A2A standard](https://a2a-protocol.org/).
+
+## Features
+
+- **AgentCard**: Convert AgentMesh identities to A2A-compliant discovery cards
+- **TaskEnvelope**: Trust-verified task lifecycle (submitted → working → complete/failed)
+- **TrustGate**: Policy enforcement for A2A task negotiations (trust scores, rate limits, DID allow/deny)
+
+## Quick Start
+
+```python
+from a2a_agentmesh import AgentCard, TaskEnvelope, TrustGate, TrustPolicy
+
+# Publish your agent as an A2A card
+card = AgentCard.from_identity(
+    did="did:mesh:my-agent",
+    name="TranslationAgent",
+    capabilities=["translate", "summarize"],
+    trust_score=800,
+)
+
+# Create a trust-verified task
+task = TaskEnvelope.create(
+    skill_id="translate",
+    source_did="did:mesh:requester",
+    target_did=card.agent_did,
+    source_trust_score=600,
+    input_text="Translate 'hello' to Spanish",
+)
+
+# Gate the request
+gate = TrustGate(TrustPolicy(min_trust_score=500))
+result = gate.evaluate(task)
+assert result.allowed
+```

packages/agentmesh-integrations/a2a-protocol/a2a_agentmesh/__init__.py

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+"""
+a2a-agentmesh: A2A Protocol Bridge for AgentMesh
+=================================================
+
+Maps AgentMesh identities and trust verification to the
+Google A2A (Agent-to-Agent) protocol standard.
+
+Components:
+- AgentCard: A2A-compliant agent discovery cards
+- TaskEnvelope: Trust-verified task request/response wrappers
+- TrustGate: Policy enforcement for A2A task negotiations
+"""
+
+from a2a_agentmesh.agent_card import AgentCard, AgentSkill
+from a2a_agentmesh.task import (
+    TaskEnvelope,
+    TaskState,
+    TaskMessage,
+)
+from a2a_agentmesh.trust_gate import TrustGate, TrustPolicy, TrustResult
+
+__all__ = [
+    "AgentCard",
+    "AgentSkill",
+    "TaskEnvelope",
+    "TaskState",
+    "TaskMessage",
+    "TrustGate",
+    "TrustPolicy",
+    "TrustResult",
+]