Skip to main content

CIRIS: Ethical AI Agent with Consensual Evolution Protocol

Project description

License Stable Lines of Code Reliability Rating Security Rating

DeepWiki CIRIS Architecture Coherence Ratchet Covenant

CIRIS Engine

Copyright © 2025 Eric Moore and CIRIS L3C | Apache 2.0 License

Core Identity, Integrity, Resilience, Incompleteness, and Signalling Gratitude

A type-safe, auditable AI agent framework with built-in ethical reasoning

BETA RELEASE 1.8.14-stable | Release Notes | Documentation Hub

CIRIS lets you run AI agents that explain their decisions, defer to humans when uncertain, and maintain complete audit trails. Currently powering Discord community moderation, designed to scale to healthcare and education.

What It Actually Does

CIRIS wraps LLM calls with:

  • Multiple evaluation passes - Every decision gets ethical, common-sense, domain, and epistemic diversity checks
  • Intuition DMA (IDMA) - Coherence Collapse Analysis for detecting fragile reasoning (k_eff < 2 = single-source dependence)
  • Human escalation - Uncertain decisions defer to designated "Wise Authorities"
  • Complete audit trails - Every decision is logged with reasoning
  • Type safety - Minimal Dict[str, Any] usage, none in critical paths
  • Identity system - Agents have persistent identity across restarts
  • Privacy compliance - Built-in DSAR/GDPR tools for data discovery, export, and deletion
  • Commons Credits - Track non-monetary contributions that strengthen community (not currency, not scorekeeping)

Philosophy: "No Untyped Dicts, No Bypass Patterns, No Exceptions" - See CLAUDE.md

Engine Documentation: ciris_engine/README.md - Technical architecture and implementation details

Quick Start

One-Line Install (Agent + Web UI)

Get CIRIS running in minutes without Docker:

curl -sSL https://ciris.ai/install.sh | bash

This installs both CIRISAgent and CIRISGUI with all dependencies, then opens the web interface at http://localhost:3000.

Standalone Installation Guide - Full options, troubleshooting, and manual setup

Agent-Only Install (Python)

Via pip (Recommended):

# Install from PyPI
pip install ciris-agent

# Start with API adapter and built-in web UI
ciris-agent --adapter api --port 8000

# Or use Discord adapter
ciris-agent --adapter discord --guild-id YOUR_GUILD_ID

# Load multiple adapters together
ciris-agent --adapter api --adapter reddit

From Source (Development):

# 1. Clone and install
git clone https://github.com/CIRISAI/CIRISAgent.git
cd CIRISAgent
pip install -r requirements.txt
# For development: pip install -r requirements-dev.txt

# 2. Start with Discord adapter
python main.py --adapter discord --guild-id YOUR_GUILD_ID

# 3. Or start API mode
python main.py --adapter api --port 8000

# 4. Load multiple adapters together
python main.py --adapter api --adapter reddit

Complete Installation Guide - Detailed setup, configuration, and deployment

Available Adapters

CIRIS supports both built-in and modular adapters that can be loaded via --adapter flag or CIRIS_ADAPTER environment variable.

Built-in Adapters

Adapter Type Description Usage
CLI Communication Interactive command-line interface --adapter cli
API Communication RESTful HTTP API server (FastAPI) --adapter api --port 8000
Discord Communication Discord bot integration --adapter discord --guild-id ID

Modular Service Adapters

Adapter Type Description Required Configuration Usage
Reddit Communication + Tools Reddit integration for r/ciris monitoring and interaction. Supports posting, commenting, content removal, user lookups, and passive observation. CIRIS_REDDIT_CLIENT_ID
CIRIS_REDDIT_CLIENT_SECRET
CIRIS_REDDIT_USERNAME
CIRIS_REDDIT_PASSWORD
--adapter reddit
SQL External Data Tools DSAR/GDPR compliance tools for SQL databases. Supports data discovery, export, anonymization, and deletion across multiple database types (SQLite, PostgreSQL, MySQL, MSSQL). Database connection config (see docs) Loaded automatically via tool system
Mock LLM LLM Provider Testing mock LLM service that simulates AI responses without external API calls. Not for production use. None (optional delay/failure rate) --adapter mockllm or --mock-llm
Geo Wisdom Wise Authority Geographic navigation guidance using OpenStreetMap for routing and geocoding. None (uses public OSM API) Loaded automatically for navigation domains
Weather Wisdom Wise Authority Weather forecasting and alerts using NOAA National Weather Service API. None (uses public NOAA API) Loaded automatically for weather domains
Sensor Wisdom Wise Authority Home automation and IoT sensor integration via Home Assistant. Actively filters out medical sensors. CIRIS_HOMEASSISTANT_URL
CIRIS_HOMEASSISTANT_TOKEN
Loaded automatically for sensor domains

LLM Providers

CIRIS uses an OpenAI-compatible API interface for LLM inference:

Provider Endpoint Authentication Platform
ciris.ai https://ciris.ai/v1 Google Sign-In Android only
OpenAI https://api.openai.com/v1 API Key All
Groq https://api.groq.com/openai/v1 API Key All
Together.ai https://api.together.ai/v1 API Key All
Local LLMs http://localhost:8080/v1 Optional All

ciris.ai Proxy (Android only): Available exclusively on Android due to Google Play Services dependencies. Uses Google Sign-In for authentication with automatic token refresh. No logging - prompts and responses pass through without being stored. Backend providers are Groq and Together.ai.

Agent Templates

CIRIS includes pre-configured agent templates in ciris_engine/ciris_templates/:

Template Description
Ally Personal assistant focused on ethical partnership. Supports task management, scheduling, decision support, and wellbeing. Includes California SB 243 compliance, crisis response protocols, and GDPR DSAR automation.
Datum Community moderation agent for Discord. Production-deployed at agents.ciris.ai.

Templates define identity, permitted actions, guardrails, and standard operating procedures (SOPs) for DSAR compliance.

Loading Adapters

Via Command Line:

# Single adapter
python main.py --adapter api

# Multiple adapters
python main.py --adapter api --adapter reddit

# With configuration
export CIRIS_REDDIT_CLIENT_ID="your_client_id"
export CIRIS_REDDIT_CLIENT_SECRET="your_secret"
python main.py --adapter reddit

Via Environment Variable:

export CIRIS_ADAPTER="api,reddit"
python main.py

Priority and Behavior:

  • Communication adapters can run simultaneously (e.g., API + Reddit + Discord)
  • Reddit adapter defaults to lower priority than API for message handling
  • Wise Authority adapters load automatically when their domain is needed
  • Mock LLM disables real LLM services when loaded (testing only)

Deployment Ready

22 core services with message bus architecture ✅ 4GB RAM target for edge deployment ✅ Thousands of tests with comprehensive coverage ✅ SonarCloud quality gates passing ✅ Currently powering Discord moderation at agents.ciris.ai

Documentation

📚 Complete Documentation Hub

Quick Links:

Contributing

  1. Read the Architecture Guide - Understand the three-legged stool
  2. Follow Type Safety Rules - Minimal Dict[str, Any] usage
  3. See CONTRIBUTING.md for setup

Support


CIRIS: Core Identity, Integrity, Resilience, Incompleteness, and Signalling Gratitude Ethical AI with human oversight, complete transparency, and deployment reliability.

Ready to build trustworthy AI?Get started →

Project details


Release history Release notifications | RSS feed

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

ciris_agent-1.8.14-py3-none-any.whl (39.3 MB view details)

Uploaded Python 3

File details

Details for the file ciris_agent-1.8.14-py3-none-any.whl.

File metadata

  • Download URL: ciris_agent-1.8.14-py3-none-any.whl
  • Upload date:
  • Size: 39.3 MB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.12.12

File hashes

Hashes for ciris_agent-1.8.14-py3-none-any.whl
Algorithm Hash digest
SHA256 4896aa6b9b7ff2148322b02f5d07f7a41d98bf45aa44cb9f80d83d4ac5856afb
MD5 f5baf2b90b0176dd5dcdbd7ad348650c
BLAKE2b-256 17affbc57f57228c2e84be7d995edcb734dc2e8ee7595b210869031b3ca48de1

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page