Discover, version, and deploy production AI agents — the registry for your agent fleet
Project description
agentregistry is the registry for your agent fleet — discover, version, and deploy production AI agents. Like PyPI, but for agents.
Install
pip install agentregistry-py
pip install "agentregistry-py[http]" # health checks
pip install "agentregistry-py[sqlite]" # persistent store
Quickstart
from agentregistry import AgentRegistry, AgentManifest
registry = AgentRegistry()
registry.publish(AgentManifest(
id="acme.billing-agent",
version="1.2.0",
description="Handles billing for enterprise tenants",
capabilities=["charge_card", "refund", "read_balance"],
framework="langgraph",
tags={"domain": "finance", "env": "prod"},
policies=["acme.billing.v2"],
))
# Discover
agent = registry.get("acme.billing-agent")
results = registry.search(capability="charge_card")
results = registry.search(framework="langgraph", tags={"domain": "finance"})
# Version lifecycle
registry.deprecate("acme.billing-agent", "1.1.0")
registry.yank("acme.old-agent")
versions = registry.versions("acme.billing-agent")
AgentManifest
| Field | Type | Description |
|---|---|---|
id |
str | Unique agent identifier |
version |
str | Semver version |
capabilities |
list[str] | What the agent can do |
framework |
str | langgraph / crewai / autogen / openai / custom |
policies |
list[str] | Required agentplane policy IDs |
tags |
dict | Arbitrary k/v for filtering |
health_check |
str | HTTP endpoint for health checks |
Stack
agentplane → control plane (runtime policy, versioning, escalation)
agentregistry → registry (discover, version, deploy agents) ← you are here
agentobserve → observability (unified view across all layers)
agenteval → testing (golden paths, adversarial, policy tests)
Apache 2.0 · Built for production enterprise agents
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