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lyraios

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Multi-Agent Platforms & Frameworks
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Basic Information

LYRAIOS is an open Model Context Protocol (MCP) operating system intended to host and coordinate multi-AI agents and extend LLM applications with integrated tools and external services. The project provides a layered AI OS combining a Streamlit web UI, optional mobile and CLI interfaces, and a FastAPI backend to expose assistant and health endpoints. It targets use cases that include blockchain/public chain interactions (wallet queries, transfers, contract calls), fintech market analysis and report generation, research and education assistants, and general tool-driven agent workflows. The repository includes code structure for assistants, LLM integration, tool implementations, database persistence using PostgreSQL/SQLite and PGVector, Docker deployment files, environment configuration examples, and developer scripts to run frontend and backend locally.

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App URL
https://github.com/GalaxyLLMCI/lyraios
Github Repository
https://github.com/GalaxyLLMCI/lyraios/blob/main/README.md

App Details

Features
The repository emphasizes an open protocol architecture and a Tool Integration Protocol that uses standardized JSON manifests, a pluggable adapter system (REST, Python plugins, custom adapters), versioning, dependency management, and monitoring/logging. The core OS layer implements process management, a short- and long-term memory system with vector storage, I/O handling for multi-modal inputs, and security controls such as authentication and rate limiting. A multi-agent collaboration engine supports team structures and inter-agent task delegation. Built-in tools include a calculator, DuckDuckGo web search, financial analysis utilities, file management, and research tooling. The project provides API documentation, interactive OpenAPI docs, Docker development and production setups, and scripts to manage services and backups.
Use Cases
LYRAIOS helps developers and teams build, run, and extend multi-agent AI applications by providing an integration-ready OS, standardized tool manifests, and adapters to connect external services. It reduces integration work for blockchain and fintech operations by exposing tooling and agent patterns for wallet and contract interactions and offers research and Python-execution assistants to support analysis tasks. The platform supports persistent conversation and vector-based knowledge storage for cross-session context, provides REST endpoints for chat and health checks, and includes deployment guidance via Docker and configuration via environment variables. Security and operational features such as TLS recommendations, message validation, resource protection, health monitoring, backup and restore scripts, and API key management are included to assist production readiness.

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