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A framework for production AI agents

Project description

Zil

A framework for production AI agents.

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Documentation · Getting Started · CLI Reference · Community Slack


Zil composes with ADK, A2A, MCP, DeepEval, and OpenTelemetry to provide a declarative manifest format and CLI for building, validating, auditing, packaging, and deploying AI agents.

Install

uv pip install zil-ai

For agent creation with ADK:

uv pip install 'zil-ai[adk]'

Quick start

# Scaffold a new agent project
zil init my-agent
cd my-agent && source .venv/bin/activate

# Validate the project
zil validate

# Security audit
zil audit --fix

# Run the agent interactively
zil run

# Or start the ADK web UI
zil web

Commands

Command Description
zil init Scaffold a new agent project
zil validate Validate project against the manifest schema
zil audit Agent-native security audit (injection, leakage, identity hardening)
zil eval run Run evaluation suites
zil eval generate LLM-powered eval case synthesis
zil run Run the agent interactively
zil web Start the ADK web UI for testing
zil pack Build a versioned .zil archive
zil push Push archives to an OCI-compatible registry
zil deploy Deploy to Google Cloud Run with eval gating

SDK

import zil

root_agent = zil.create_agent(
    tools=[],              # your tool functions
    enable_guardrails=True, # runtime guardrail engine
    enable_telemetry=True,  # OpenTelemetry tracing
    enable_memory=True,     # long-term memory from adapters/memory.yaml
)

See the SDK Reference for the full API.

Long-term memory is framework-neutral and works across ADK and OpenHands — see docs/memory.md.

Example

The examples/hello-agent directory contains a minimal reference agent you can run immediately:

cd examples/hello-agent
uv pip install -r requirements.txt
zil validate && zil audit && zil run

Community

Contributing

We welcome contributions! See CONTRIBUTING.md for development setup, testing, and PR guidelines.

License

Apache-2.0


Built by FluentData

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