New memory framework builds AI agents that can handle the real world's unpredictability
Researchers at the University of Illinois Urbana-Champaign and Google Cloud AI Research have developed a framework that enables large language model (LLM) agents to organize their experiences into a memory bank, helping them get better at complex tasks over time.The framework, called ReasoningBank, distills “generalizable reasoning strategies” from an agent’s successful and failed attempts to solve problems. The agent then uses this memory during inference to avoid repeating past mistakes and make better decisions as it faces new problems. The researchers show that when combined with test-time scaling techniques, where an agent makes multiple attempts at a problem, ReasoningBank significantly improves the performance and efficiency of LLM agents.Their findings show that ReasoningBank [...]
Rating
Innovation
Pricing
Technology
Usability
We have discovered similar tools to what you are looking for. Check out our suggestions for similar AI tools.
A 0.12% parameter add-on gives AI agents the working memory RAG can't
AI agents forget. Every time a coding assistant loses track of a debugging thread, or a data analysis agent re-ingests the same context it already processed, the team pays in latency, token costs, and [...]
Framework Laptop 12 review: Doing the right thing comes at a cost
Earlier this year, Framework announced it was making a smaller, 12-inch laptop and a beefy desktop to go alongside its 13- and 16-inch notebooks. A few months later, and the former has arrived, puttin [...]
Google PM open-sources Always On Memory Agent, ditching vector databases for LLM-driven persistent memory
Google senior AI product manager Shubham Saboo has turned one of the thorniest problems in agent design into an open-source engineering exercise: persistent memory.This week, he published an open-sour [...]
New agentic memory framework uses 118K tokens per query. LangMem burns through 3.26M.
Long-horizon reasoning exposes a core weakness in AI agents: context windows fill up fast, and retrieval pipelines return noise instead of signal.To solve this, researchers at the National University [...]
OpenAI unveils Workspace Agents, a successor to custom GPTs for enterprises that can plug directly into Slack, Salesforce and more
OpenAI introduced a new paradigm and product today that is likely to have huge implications for enterprises seeking to adopt and control fleets of AI agent workers.Called "Workspace Agents," [...]
Nimble claims its new, domain-specialized Web Search Agents cut token costs in half while boosting retrieval accuracy
Nimble, a New York City-based tech startup VentureBeat previously covered for its efforts to re-invent web search for enterprises by using multiple AI agents to improve accuracy and depth, is taking a [...]
MemRL outperforms RAG on complex agent benchmarks without fine-tuning
A new technique developed by researchers at Shanghai Jiao Tong University and other institutions enables large language model agents to learn new skills without the need for expensive fine-tuning.The [...]
Framework Laptop 13 (2025) with AMD Ryzen AI 300 review: The usual iterative upgrade
You might know the story by now: Framework makes repairable, modular laptops where you can sub in new components for old or broken ones. It’s been two years since the company debuted an AMD mainboar [...]