Andrew @ Recallio @RecallioAI
Make your AI agent feel smart, with personalized distilled context from past user interactions, in 2 API calls. Lower token cost / high accuracy. recallio.ai Montreal Joined July 2025-
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Users don’t care if they spoke on chat, email, or phone, they expect you to remember. Most AI agents only see the last channel. ⚡ Recallio stitches history across all touchpoints, so replies reflect prior promises, frustrations, and context. 2 API calls → fewer escalations,…
Most chatbots sound smart, until you come back. They forget your preferences, repeat questions, and kill trust. ⚡ Recallio fixes this with continuity-dependent interpretation — surfacing what mattered in past interactions (preferences, limits, promises kept). 2 API calls →…
🧠 AI Agents on @n8n_io desperately need persistent memory. We built a Recallio Memory Node - scoped, compliant, production-ready memory (perfect for chatbots, ai agents) - but: ❌ Automated review blocks it (LangChain deps) ❌ PR closed 📭 Emails to [email protected] unanswered This…
Building multi-agent systems? The orchestration piece is where most teams get stuck — coordinating between agents, handling failures, and managing state across complex workflows. That's why we're bringing together @jakebroekhuizen from LangChain and Jamieson Leibovitch from…
Why Dumb Chatbots Lose Sales? ✈️ Traveler: “What upgrades are available?” 🤖 Bot (typical): “Window or aisle?” === 🤖 Bot (powered by Recallio⚡) “Last time you flew JFK–LHR in Premium Economy with extra legroom. We’ve got that same seat for $129 - want it again?” Recallio…
📊🤖 Stock Research DeepAgent A stock analysis system using LangChain's DeepAgent framework to coordinate specialized agents for comprehensive market research and real-time data analysis. Check out the implementation and build your own! 🔍 github.com/sagar-n/deepag…
The AI world loves acronyms, and “RAG” - Retrieval-Augmented Generation, is one of the most popular. But if you’ve been hearing about Recallio.ai and assuming it’s just “RAG in a box,” let’s set the record straight. Recallio isn’t built for RAG. It’s built for…
LangChain Apps Can Now Remember - Drop-in Memory API for Agents, Copilots, and SaaS. We just shipped something we've been working on for a while now and it quietly solves a problem most LangChain (and LLM app) devs have been hacking around with for too long: • Memory. Real…
Cooking LangChain integration for Recallio.ai stay tuned. 🍿
@akshay_pachaar Why build a brain that forgets everything between conversations? your Agentic RAG still starts every new query with no long-term memory. You should check @RecallioAI for AI memory so AI agents hit RAG warm, not cold. Fewer re-queries, lower cost, higher accuracy and none of…
@sama Exactly, deeper customization is huge, but real personalization needs more than just changing tone or style. I’ve been exploring @RecallioAI , it gives AI agents context-aware memory so they remember your context over time, not just your last message. That’s when AI agents truly…
How to Retrieve Scoped AI Memory Using Recallio's Recall API Smart memory isn’t just about storing context, it’s about retrieving exactly what matters, when it matters. Whether you're building an AI agent, a support bot, or a memory-aware assistant, Recallio's POST /recall…
How to Add Scoped, Summarized AI Memory Without Touching a Vector DB AI agents are smart. But stateless. Every session is a blank slate. Every user repeats themselves. Every dev hacks memory storage from scratch. That’s broken. Recallio fixes it. Scoped, persistent, queryable…
Most AI memory today is just storage. That’s not enough. Dump vectors in, hope something useful comes out. That’s not memory, that’s just storage. We’re building memory that’s scoped, time-aware, and built for action. Not just what was said, but what matters now, for this user,…
Your AI Keeps Forgetting. Here’s the 5-Minute Fix. Modern AI agents are clever - but forgetful. Your chatbot might respond empathetically today and blank on your name tomorrow. That breaks immersion, burns tokens, and frustrates users. Why? Because most AI apps are stateless.…
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