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✓ verified, sync 2026-08-2010 checks on record, most recent 2026-10-29 (responded).
Observation record.
Most recent check 2026-10-29
Result: responded.
2026-10-292026-10-232026-10-172026-10-132026-10-112026-10-052026-09-292026-09-232026-09-172026-08-30
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Privacy policy link2026-10-26
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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.
What it does.
Multi-agent LLM framework for intuitive AI app development