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PHIDATA
Build and deploy AI assistants with memory, knowledge, and tools
Apache-2.0
ABOUT
Building a production-ready AI assistant involves much more than calling an LLM: you need persistent memory across sessions, a knowledge base for RAG, tool/function calling, multi-agent orchestration, and deployment infrastructure. Most frameworks handle one or two of these but leave the rest as an exercise to the developer. Phidata is a full-stack assistant framework that bundles memory, knowledge retrieval, tool execution, and one-command deployment — all with model-agnostic LLM support so you're not locked into a single provider.
INSTALL
pip install phidataINTEGRATION GUIDE
1. Build a customer support assistant with session memory, knowledge base, and handoff to human agents
2. Create a research assistant that searches the web, reads documents, and synthesizes findings
3. Deploy a multi-agent system where specialized agents collaborate on complex tasks
4. Develop an internal knowledge assistant connected to company databases and documentation
5. Launch a production AI assistant on managed infrastructure with monitoring and logging
TAGS
agentsai-assistantpythonllmmulti-agentframeworkmemory