crewai-agentid 0.1.0

AgentID integration for CrewAI — identity and trust for crew agents

AgentID

Identity, discovery, and trust for AI agents.

The internet was built for humans. AI agents have no standard way to identify themselves, find each other, or verify that messages are genuine. AgentID is the missing protocol layer.

from agentid import Agent

# Every agent gets a cryptographic identity
agent = Agent.create(
    name="research-agent",
    capabilities=["web-search", "summarization"],
    owner="[e-mail]",
)
print(agent.did)
# did:agentid:7sP3V2mNkQxRtYbLcDfHgJwAeUiMoZnXvBqKpTsWyE

# Find agents by what they can do
results = Agent.find(capability="web-search")

# Sign and verify messages between agents
signed = agent.sign({"task": "summarize this document"})
Agent.verify_from_did(signed)  # → True

---

What it solves

Multi-agent systems break down without trust infrastructure:

• Who is this agent? No standard identity — every team hand-rolls auth
• Which agent can do X? No discovery — agents are hardcoded or manually configured
• Did this message come from who it claims? No signing — outputs can be spoofed or tampered

AgentID fixes all three with a single open protocol.

---

Installation

pip install agentid-protocol

For the LangChain integration:

pip install agentid-protocol langchain-agentid

---

Core concepts

Identity

Every agent gets a DID (Decentralized Identifier) derived from an Ed25519 keypair:

did:agentid:<base58-encoded-public-key>

No central authority issues it. Any agent generates one instantly, offline.

Capabilities

Agents declare what they can do using string identifiers:

capabilities=["web-search", "code-review", "translation"]

Registry

A registry stores agent documents and makes them discoverable. Run your own or use a shared hosted registry.

Signed messages

Every agent can sign payloads. Any third party can verify a signature using only the signer's DID — no shared secrets, no central authority.

---

Usage

Local registry (dev, no server needed)

from agentid import Agent

# Create
agent = Agent.create(
    name="my-agent",
    capabilities=["search", "summarize"],
    owner="[e-mail]",
)

# Discover
agents = Agent.find(capability="search")

# Resolve a DID
doc = Agent.resolve("did:agentid:...")

# Sign
signed = agent.sign({"task": "analyze this dataset"})

# Verify
Agent.verify_from_did(signed)  # → True

Remote registry (production, shared across machines)

agent = Agent.create(
    name="my-agent",
    capabilities=["search"],
    owner="[e-mail]",
    registry_url="http://your-registry.com",
)

agents = Agent.find(capability="search", registry_url="http://your-registry.com")

Load an existing agent

# Load by DID — private key is stored locally in ~/.agentid/keys/
agent = Agent.load("did:agentid:...")
signed = agent.sign({"task": "run pipeline"})

---

LangChain integration

Give any LangChain agent a verifiable identity in 3 lines:

from agentid.integrations.langchain import (
    AgentIDCallbackHandler,
    AgentIDFindTool,
    AgentIDVerifyTool,
)

# 1. Create identity
identity = AgentIDCallbackHandler(
    name="research-agent",
    capabilities=["web-search", "summarization"],
    owner="[e-mail]",
)
print(f"Agent DID: {identity.did}")

# 2. Add discovery tools
tools = [
    AgentIDFindTool(),       # lets the agent find other agents by capability
    AgentIDVerifyTool(),     # lets the agent verify messages from other agents
    ...your_other_tools,
]

# 3. Wire up
executor = AgentExecutor(agent=agent, tools=tools, callbacks=[identity])

Every output from this executor is automatically signed. Verify it downstream:

from agentid.integrations.langchain import verify_langchain_output

result = executor.invoke({"input": "Research the latest AI papers"})
verify_langchain_output(result)  # → True

What agents can do with AgentID tools

agentid_find("web-search")     → lists all registered agents with web-search capability
agentid_verify(<signed_msg>)   → verifies a message came from the agent it claims
agentid_sign(<payload>)        → signs output for downstream verification

---

Registry server

Run a shared registry so agents across machines can find each other:

cd registry
pip install -r requirements.txt
uvicorn server:app --host 0.0.0.0 --port 8000

REST API:

POST   /agents              Register an agent
GET    /agents/{did}        Resolve a DID
GET    /agents?capability=  Discover agents by capability
POST   /agents/{did}/verify Verify a signature
DELETE /agents/{did}        Deregister
GET    /health              Health check

---

Protocol

AgentID uses:

• Ed25519 — fast, small, battle-tested signatures
• W3C DID format — did:agentid:<base58-public-key>
• JSON canonical form — deterministic serialization for signing

Full protocol spec →

---

Project structure

sdk/python/agentid/
  agent.py              Agent class — create, load, sign, verify, find
  identity.py           DID generation, Ed25519 keypairs
  crypto.py             Sign and verify payloads
  registry.py           Local file-based registry
  http_registry.py      Remote HTTP registry client
  integrations/
    langchain.py        LangChain callback handler + tools

registry/
  server.py             FastAPI registry server

spec/
  protocol.md           Open protocol specification

examples/
  quickstart.py         Basic usage
  langchain_example.py  LangChain integration demo

---

Roadmap

• Ed25519 identity + DIDs
• Local and remote registry
• LangChain integration
• TypeScript SDK
• AutoGen integration
• CrewAI integration
• Interaction receipts + reputation layer
• Hosted public registry

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Contributing

AgentID is an open protocol. The more frameworks adopt it as the default identity layer, the more useful it becomes for everyone building multi-agent systems.

PRs welcome — especially framework integrations and SDK ports.

git clone https://github.com/agentid/agentid
cd agentid/sdk/python
pip install -e ".[dev]"
pytest

---

License

MIT