Amazon launched the 'Ask This Book' AI feature in the Kindle iOS app, helping users quickly recall details of what they have read. This feature covers thousands of best-selling English e-books and ensures that only the read portion is displayed, avoiding spoilers. Users can ask questions conveniently, enhancing the reading experience.
Alibaba Cloud launched Qwen Chat Memory on Oct 16, enhancing AI assistants with long-term memory to understand context, retain key info, and recall past conversations for better interaction.....
Anthropic introduces auto-memory for Claude AI teams/enterprises, recalling past conversations to better understand needs without prompts.....
After GPT-5 setbacks, OpenAI's Sam Altman shifts focus to GPT-6, prioritizing memory for personalized interactions by recalling user preferences and habits.....
Real-time AI agents that integrate audio and video directly into video conferences.
Smart memory assistant, recalling essential information anytime, anywhere
AI-Powered Summarization and Knowledge Management Tool
Effortless recall, zero effort
Openai
$2.8
Input tokens/M
$11.2
Output tokens/M
1k
Context Length
Xai
$1.4
$3.5
2k
Anthropic
$7
$35
200
Google
$2.1
$17.5
$0.7
Alibaba
$8
$240
52
$3.9
$15.2
64
-
Bytedance
$0.8
$2
128
$0.15
$1.5
256
Baidu
$0.35
400
$1.95
16
Tencent
32
$2.4
$12
8
$0.75
owao
This is a GGUF quantized version converted from the driaforall/mem-agent model, using the Q4_K_M quantization level. This model focuses on the memory agent function and can process and recall a large amount of context information. It is suitable for dialogue and task processing scenarios that require long-term memory capabilities.
shank250
This model is a fine-tuned version based on bert-base-uncased, focusing on improving recall performance for specific tasks
pySilver
Marqo-FashionSigLIP is a multimodal embedding model optimized for fashion product search, achieving a 57% improvement in MRR and recall rate compared to FashionCLIP.
recallapp
A vision-language model trained on the LAION-2B English dataset based on the OpenCLIP framework, supporting zero-shot image classification and cross-modal retrieval
Marqo
Marqo-FashionSigLIP is a multimodal embedding model optimized for fashion product search, with a 57% improvement in MRR and recall rate compared to FashionCLIP.
Molkaatb
This is a deep - learning model focused on image classification tasks, using accuracy, recall, and F1 score as the main evaluation metrics, and following the Apache 2.0 open - source license.
davanstrien
This is a binary classification model trained using AutoTrain, primarily for image classification tasks, with high accuracy and recall rates.
team-marmalade
This is a binary classification vision model trained using AutoTrain, excelling at distinguishing between two types of images with high accuracy and recall.
EdBianchi
A vision Transformer model fine-tuned from google/vit-base-patch16-224-in21k, specialized in fire detection tasks, demonstrating high precision and recall rates on the evaluation dataset.
ImageIN
This model is a fine-tuned version of facebook/levit-192 on an unlabeled dataset, demonstrating excellent performance in precision, recall, F1 score, and accuracy.
The Recall MCP server is a service that implements the Model Context Protocol and is used to interact with the Recall blockchain storage service. It provides functions such as account management, bucket operations, and object storage, and pays special attention to the security protection of private keys.
Sequential Thinking MCP is an MCP server that provides a structured thinking process. It solves problems step by step, manages hypotheses, and integrates with the Recall blockchain to store thinking logs, supporting dynamic adjustment and reflective thinking.
The MCP service module in the RecallNet project cloned from GitHub
The Get Notes MCP Server provides intelligent knowledge base integration capabilities for AI assistants such as Claude through AI - enhanced knowledge base search and recall functions.
Recall Data Omnifeeds is an MCP server that provides multi - platform data access, integrating data interfaces from Twitter, Substack, and CoinGecko, and offering unified data analysis and interaction capabilities for AI models.
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