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Source channel @githubtrending · Post #15558 · Mar 12

#python#agentic_ai#agents#memory Hindsight is a top agent memory system that helps AI agents learn over time by storing facts, experiences, and mental models like human memory, beating rivals on LongMemEval benchmarks with 91.4% accuracy. Add it easily with 2 lines of code via Python or Node.js clients, using simple retain, recall, and reflect operations for Docker or embedded setups. You benefit by building smarter, consistent agents that reduce errors, cut hallucinations, handle long-term tasks, and personalize chats—saving time and boosting performance in production. https://github.com/vectorize-io/hindsight

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@NEWS_AND_TIPS · Post #2362 · 05/26/2024, 05:46 PM

Telegram #FactCheck Feature Spotted in Code. We spotted some interesting code snippets that hint at a new "Fact Check" being in development. Here's what we found: 1. A dedicated area within the application for users to access fact-checking tools or information. 2. Fact-Check Submission and Editing: Users might be able to submit facts to be checked, edit their submissions, and delete them. 3. Fact-Checking Dialogs: Dialog boxes to interact with the fact-checking process, perhaps to confirm submissions, display detailed information, or edit entries. 4. User Notifications: Notifications and messages to inform users about the status of their fact-checks (submitted, edited, deleted). 5. Informational and Placeholder Text: Text elements providing explanations about fact-checking, as well as placeholders in input fields to guide user input. 6. Toast Messages: Instant feedback to users through toast notifications about actions taken related to fact-checking. Overall, these string resources suggest that the application is enhancing its functionality to include comprehensive fact-checking features, allowing users to engage with, submit, and manage fact-checked information. Note : Based on limited code, the exact functionality of the Fact Check feature is not yet clear. #Factcheck#Communitynotes#Beta