Daniel Chalef @danielchalef
Working on Zep: Context engineering for production AI apps. @zep_ai getzep.com San Francisco, CA Joined June 2007-
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18/ @akshay_pachaar shares links to 6 must-use open-source MCP servers for developers. - Graphiti - Opik - Ragie - Bright Data - Jupyter MCP - MindsDB x.com/akshay_pachaar…
18/ @akshay_pachaar shares links to 6 must-use open-source MCP servers for developers. - Graphiti - Opik - Ragie - Bright Data - Jupyter MCP - MindsDB x.com/akshay_pachaar…
Build human-like memory for your Agents (open-source)! Every agentic and RAG system struggles with real-time knowledge updates and fast data retrieval. Zep solves these issues with its continuously evolving and temporally-aware Knowledge Graph. Like humans, Zep organizes an…
Where context matters, graphs shine. By removing conventional blockers like working with structured and unstructured data, getting started is streamlined and straightforward. Here's how we do it w/ @zep_ai Graphiti: eu1.hubs.ly/H0mgc1K0 (Code examples included)
Graphiti (@zep_ai) simplifies building knowledge graphs with real-time, temporal data support. Perfect for LLM agents and advanced RAG pipelines, it integrates seamlessly with FalkorDB. Missed our workshop? Check the recording and Google Colab demo in the comments!
This tutorial(on YouTube) will teach you how to choose and set up the right memory node for your n8n AI agents - covering simple memory, Zep, Redis, Postgres, and MongoDB with full setup guides and when to use each one
Another great demo of @zep_ai Graphiti in action! 🧠 Very cool video! Thanks for sharing, @_avichawla ! 💙
Another great demo of @zep_ai Graphiti in action! 🧠 Very cool video! Thanks for sharing, @_avichawla ! 💙
Tomorrow at the MCP Builders Summit 🚀 Zep's founder Daniel Chalef will dive deep into Graphiti's MCP server! 🧠🔗 Graphiti recently hit 15K GitHub stars 🥳 and its MCP server has become the go-to desktop knowledge graph memory for MCP clients: from Claude and Cursor to…
🆕 Publishing our entire GraphRAG track! ft. • Mitesh Patel, @nvidia • Chin Keong Lam, Patho • @samjulien, Writer • @danielchalef, Zep • Ola Mabadeje, @Cisco • @tomsmoker, WhyHow • @mesirii @steveonjava @BarrasaDV, Neo4j bonus sessions released: • @Jonflarson,…
real-time knowledge graphs for AI agents
Graphiti now supports @falkordb as a database backend, contributed by the FalkorDB team 🚀 FalkorDB is a low-latency, high-performance graph database. ⚡️ With FalkorDB, you get more database choices for building time-aware knowledge graphs 🔧 ⬇️ Read more below.
A great guest has joined our 29 July How to build a knowledge graph workshop: @danielchalef @zep_ai (Graphiti) founder! What you can expect: ▪️ Q&A with Roi Lipman (CTO), Gal Shubeli (GraphRAG-SDK Dev.) and Daniel Chalef (ZEP ▪️ Graphiti introduction eu1.hubs.ly/H0lMl3F0
🧠 Build autonomous AI agents that think, remember, and act. @akshay_pachaar’s new crash course walks through: ✅ Tool integration via MCP servers ✅ Memory with Zep’s Graphiti ✅ Tracing and observability with Comet’s Opik All orchestrated with CrewAI — and fully…
@crewAIInc @zep_ai @Cometml Here's an overview of the system we're building! - User sends a query - Assistant runs web search via MCP - Query + results go to Memory Manager - Memory Manager stores context in Graphiti - Response agent crafts the final answer
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