shibing624/agentica

Description and use

Agentica is a lightweight, async‑first Python framework designed for building AI agents. It provides built‑in support for tool invocation, retrieval‑augmented generation (RAG), multi‑agent coordination, and multi‑choice prompting (MCP), enabling developers to orchestrate complex AI workflows with minimal overhead. The library emphasizes asynchronous execution to maximize performance in distributed or real‑time applications.

Use in a workflow

shibing624/agentica helps turn isolated prompts and tools into repeatable agent workflows.

• coordinate multi-agent workflows
• add tool-use pipelines
• standardize agent memory

Limitations and review notes

Medium: useful for prototypes or internal workflows, with dependency and maintenance checks before production.