Langroid
Multi-agent programming framework for LLM applications.
🛡️ AgentReady threat assessment
MAESTRO 7-layer threat model + OWASP AIVSS risk score for Langroid, derived from its capabilities.
These scores are auto-generated from public information (the agent's own listing, docs, and repository) using the canonical OWASP AIVSS formula and the MAESTRO framework — an estimate for guidance, not a penetration test, audit, or certification. See the scoring methodology — every score is re-derived by the same automated method as an agent's public evidence changes.
Overview
Langroid is an open-source Python framework designed to simplify LLM application development using a multi-agent programming paradigm. It treats agents as first-class citizens, allowing developers to configure agents with capabilities like LLMs, vector databases, and function-calling/tools. Langroid enables collaborative problem-solving through message exchange between agents, offering a "conversational programming" approach that works with both local/open and remote/proprietary LLMs.
Key features and capabilities
- Agent-Centric Architecture, Task Delegation, LLM Integration, Vector Store Support, Function Calling/Tools, Caching, Observability And Logging.
Use cases
- Complex LLM Application Development, Multi-Agent Collaboration, Retrieval-Augmented Generation, Chatbot Creation, AI-Assisted Task Automation.