L
Langroid
✓ verified, sync 2026-08-20Multi-agent LLM framework for intuitive AI app development.
What it does.
Multi-agent LLM framework for intuitive AI app development
Features
- Agents as First-Class Citizens: Encapsulate LLM conversation state, vector stores, and tools.
- Task-Based Workflow: Wrap agents with instructions, manage interactions, and enable hierarchical task delegation.
- Collaborative Problem-Solving: Agents exchange messages to tackle complex problems efficiently.
- LLM Support: Compatible with OpenAI LLMs and hundreds of providers via proxy libraries.
- Vector Store Integration: Supports LanceDB, Qdrant, and Chroma for Retrieval-Augmented Generation (RAG).
- Tool and Function Calling: Easy implementation using Pydantic for both OpenAI and custom LLMs.
- Intuitive API: Simplifies the setup and management of AI agents and tasks.
- Modular and Reusable: Design agents with specific skills and combine tasks flexibly.
Pricing history.
No approved price events on record
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