We saw that applications that successfully implemented memory were implementing it in an application specific way A coding app may care about a users language, preferred libraries, and proficiency level A companion app may care about a users name, age, friends, etc
AGENTS
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Vertical Memory Systems Rise Alongside Vertical AI Agents
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In many ways… this is also similar to agents! Just as we are seeing the rise of **vertical** agents, we also think that we will see the rise of **vertical** memory
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LangGraph Introduces Long-Term Memory Support for Agents
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We're launching "long-term memory" support in LangGraph At its core, long-term memory is "just" a persistent document store that lets you *put*, *get*, and *search* for memories you've saved Why so simple?
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LangGraph Launches Long-Term Memory Support for AI Agents
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We put a lot of efforts into some great resources around this launch! Memory is a under explored and very open ended topic… more than anything, we wanted to share how we are thinking about it and get feedback Blog post: https://
blog.langchain.dev/launching-long
-term-memory-support-in-langgraph/
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Conceptual docs: -
Safe Reinforcement Learning: Methods, Theories and Applications Review
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A Review of Safe Reinforcement Learning: Methods, Theories and Applications https://
ieeexplore.ieee.org/abstract/docum
ent/10675394
… https://
github.com/chauncygu/Safe
-Reinforcement-Learning-Baselines
… This paper provide a review of safe RL from the perspectives of methods, theories, and applications. -
Flowise Workflow Powers OpenAI Realtime Console Integration
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This is all powered by a Flowise workflow that has access to tools: – search_web by @searxng – retriever_tool
– code_interpreter by @e2b_dev All you need is just a single function change on the client.addTools() in the demo repo: https://
github.com/FlowiseAI/open
ai-realtime-console
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Build Your Own OpenAI Assistant with Open Source Tools
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What if you could create your own OpenAI Assistant with Realtime API that can:
— FlowiseAI (@FlowiseAI) 7 octobre 2024
🌐 Browse the Web
📚 Search Files (RAG)
💻 Run Code Interpreter
All using open source tools.
Check it out pic.twitter.com/7Mm6YxJWflWhat if you could create your own OpenAI Assistant with Realtime API that can: Browse the Web Search Files (RAG) Run Code Interpreter All using open source tools. Check it out
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Natural Language AI Autonomy Levels Task Execution
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Accepts instructions in natural language, executes autonomously with minimal intervention. Varying levels of autonomy based on task and system intelligence.
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LLM Agency: How Agentic Applications Control Their Flow
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The more agentic an application is, the more an LLM decides the control flow of the application
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Anticipatory Digital Network: The Next AGI Architecture
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"We are crafting the architecture of a new digital age—a digital network that thinks, learns, and evolves—a network that not only processes but perceives, that not only adapts but anticipates—an anticipatory leap into a new era. " $AGI #AGINode