Zeroclaw

Zeroclaw is a modular framework for building and deploying autonomous agents that integrate AI models, messaging platforms, and hardware interfaces. It functions as a multi-agent orchestrator and embedded systems controller, providing a unified runtime for managing agent lifecycles, memory, and security policies across diverse environments.

The system distinguishes itself through its focus on secure, verifiable hardware and software orchestration. It enforces strict security boundaries, including command allowlisting, resource throttling, and interactive human-in-the-loop approval for sensitive operations. Agents operate within isolated, containerized runtimes and can perform verifiable tool execution by generating cryptographic proofs for every action, ensuring integrity in both digital and physical tasks.

The platform supports a wide range of operational capabilities, including cross-platform messaging, real-time voice integration, and low-level hardware control via serial protocols and GPIO pins. It features a pluggable architecture that allows for automatic provider failover, model routing, and persistent memory storage, all managed through a centralized configuration system.

The project provides comprehensive tooling for development and deployment, including containerized build orchestration, hardware simulation, and native support for declarative infrastructure management. It is designed to run as a persistent background service, with built-in observability tools for auditing execution states and monitoring system health.

Features

Agent Connectivity Interfaces - Exposes agent capabilities to external clients and development environments through standardized HTTP, WebSocket, and JSON-RPC interfaces.

Agent Lifecycle Management - Provides a runtime for managing the lifecycle, security, and execution of autonomous agent instances.

Model Provider Integrations - Provides unified interfaces for connecting and configuring multiple language model providers with automatic failover and routing.

AI Agent Frameworks - Acts as a modular platform for building and deploying autonomous agents that integrate with external messaging and hardware.

Agentic Workflow Orchestration - Coordinates conversational interactions and multi-step tool execution through an agentic workflow orchestration layer.

Autonomous Agent Orchestration - Manages low-level hardware peripherals and firmware operations through autonomous agents with secure, verifiable execution.

Multi-Agent Orchestration - Consolidates inbound messages from diverse platforms into a single unified agent processing loop.

Multi-Agent Systems - Manages multiple independent agents within a single daemon, providing isolated workspaces and security policies for each.

Containerized Runtimes - Executes agents and tools within sandboxed environments to restrict system access and ensure consistent behavior.

Agent Security Runtimes - Enforces strict security policies, sandboxing, and permission controls for autonomous agents interacting with system resources.

Cryptographic Execution Proofs - Generates cryptographic HMAC-SHA256 proofs for every tool invocation to ensure integrity in digital and physical tasks.

Provider Abstractions - Defines a unified interface for swapping AI models, hardware drivers, and messaging channels without modifying core system logic.

Agent Configurations - Defines agent behavior, autonomy levels, and provider connections through centralized configuration.

Voice Agents - Assigns specific speech-to-text and text-to-speech providers to individual agents for custom voice synthesis and transcription.

Failover Strategies - Configures automatic failover sequences that attempt alternative models or secondary providers when primary requests fail.

Event-Driven Workflow Triggers - Triggers automated procedures and hardware tasks by normalizing incoming signals into a canonical execution pipeline.

Hardware Management - Implements standardized interfaces for controlling microcontrollers and single-board computers directly.

GPIO Pin Controllers - Enables reading and writing of digital pin states through natural language instructions for hardware interaction.

Serial Communication Interfaces - Detects and interfaces with external hardware adapters to enable I2C and SPI serial communication protocols.

Messaging Platform Integrations - Consolidates inbound and outbound communication across diverse messaging channels into a centralized agent processing loop.

Standard Operating Procedures - Triggers standard operating procedures based on events or signals with built-in manual approval gates.

Embedded Operating Systems - Provides a runtime for controlling GPIO, I2C, and SPI interfaces using natural language instructions and automated procedures.

Security Policies - Restricts agent autonomy through sandboxing, workspace boundaries, and mandatory approval gates for high-risk operations.

Embedded and Hardware - Automates cross-compilation and remote installation of services on embedded hardware devices.

Protocol Implementations - Implements a native verifiable intent protocol for secure, verifiable hardware operations.

User Interaction Confirmations - Intercepts tool execution with interactive prompts, requiring client-side approval before proceeding with sensitive operations.

Agent Memory Management - Stores and retrieves conversation history and vector embeddings for context-aware agent operations.

Data Normalization - Aggregates inbound data from multiple communication platforms into a unified format for consistent processing.

Automation Task Orchestration - Manages low-level hardware peripherals and firmware operations through a unified interface with automated task execution.

Containerized Deployments - Packages the runtime and terminal interface into multi-architecture container images.

Service Deployment - Configures the environment to run as a background service using systemd or OpenRC.

Virtual Hardware Simulators - Executes virtualized hardware logic locally to enable development and testing without physical components.

Messaging Orchestrators - Binds multiple communication platforms to a single agent instance to handle interactions across chat, social, and email interfaces.

Messaging Platform Integrations - Facilitates communication through various messaging platforms using a modular, feature-gated architecture.

Allowlist Management - Prevents unauthorized shell execution by restricting command availability to a pre-approved set of safe operations.

Service Lifecycle Management - Generates native system configuration files to automate the deployment and monitoring of background agent processes.

Agent Provider Integrations - Maps agents to specific provider aliases and validates configuration integrity at startup.

Agent Capability Extensions - Executes custom tools and plugins within a sandboxed interface to extend agent capabilities.

Voice-Enabled Agents - Enables telephony and voice-based interactions through SIP, wake-word detection, and outbound speech synthesis.

Vector Memory Stores - Provides persistent storage for conversation history with support for vector-based retrieval.

Background Services - Executes agents as persistent background services to ensure continuous operation on the host system.

Event Ingestion - Normalizes incoming messages from various platforms into a canonical format while enforcing security policies.

Multi-Instance Process Isolations - Supports running multiple isolated service instances on a single host with dedicated system resources.

Secrets and Credential Management - Secures sensitive authentication tokens using local encrypted storage, secret managers, or environment variables to prevent hardcoding keys.

Hierarchical Configuration Systems - Maps environment variables and local secrets to system parameters to manage agent autonomy at runtime.

Execution Audit Trails - Records the lifecycle and outcome of every automated procedure to provide a verifiable history of system changes.

Response Streaming Interfaces - Delivers model output to external channels incrementally, supporting real-time message updates.

Agent Definitions - Configures the operational scope of an agent by selecting between restricted, supervised, or unrestricted execution modes.

Session Lifecycle Managers - Coordinates the lifecycle of agent sessions, including state management and task cancellation.

Agent Response Streamers - Supports incremental output delivery across messaging channels to provide real-time feedback during long-running agent computations.

Model Routing Hints - Overrides default model providers for specific prompts based on matching hint strings.

API Throttling - Limits request frequency and operational costs to prevent runaway resource consumption or excessive API spending.

Declarative Modules - Provides native modules for defining multi-instance configurations in declarative operating systems.

Remote Management Access - Exposes HTTP and WebSocket interfaces for remote management and web-based dashboard access.

Workflow Session Persistence - Persists conversation history and session metadata to local databases to survive process restarts.

Health Monitoring Endpoints - Exposes local gateway endpoints that report the operational status of internal channels and hardware providers.

System Configuration Managers - Manages system-level autonomy by restricting shell commands and defining operational parameters.

Telemetry Exporters - Bridges telemetry data to external monitoring systems like Prometheus or OpenTelemetry using structured JSONL logs.

Service Endpoints - Defines connection parameters and authentication modes for hardware or service providers.

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Features

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