2025-11-30
General Agentic Memory tackles context rot and outperforms RAG in memory benchmarks
A Chinese research team has developed a new memory architecture for AI agents. "GAM" is designed to minimize information loss during long interactions by combining compression with deep research.
The article General Agentic Memory tackles context rot and outperforms RAG in mem [...]
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2025-12-04
GAM takes aim at “context rot”: A dual-agent memory architecture that outperforms long-context LLMs
For all their superhuman power, today’s AI models suffer from a surprisingly human flaw: They forget. Give an AI assistant a sprawling conversation, a multi-step reasoning task or a project spanning [...]
2025-12-16
With 91% accuracy, open source Hindsight agentic memory provides 20/20 vision for AI agents stuck on failing RAG
It has become increasingly clear in 2025 that retrieval augmented generation (RAG) isn't enough to meet the growing data requirements for agentic AI.RAG emerged in the last couple of years to bec [...]
2025-10-16
ACE prevents context collapse with ‘evolving playbooks’ for self-improving AI agents
A new framework from Stanford University and SambaNova addresses a critical challenge in building robust AI agents: context engineering. Called Agentic Context Engineering (ACE), the framework automat [...]
2025-11-06
Why Google’s File Search could displace DIY RAG stacks in the enterprise
By now, enterprises understand that retrieval augmented generation (RAG) allows applications and agents to find the best, most grounded information for queries. However, typical RAG setups could be an [...]
2025-11-04
Snowflake builds new intelligence that goes beyond RAG to query and aggregate thousands of documents at once
Enterprise AI has a data problem. Despite billions in investment and increasingly capable language models, most organizations still can't answer basic analytical questions about their document re [...]
2025-10-27
MiniMax-M2 is the new king of open source LLMs (especially for agentic tool calling)
Watch out, DeepSeek and Qwen! There's a new king of open source large language models (LLMs), especially when it comes to something enterprises are increasingly valuing: agentic tool use — that [...]
2025-10-20
Agentic AI security breaches are coming: 7 ways to make sure it's not your firm
AI agents – task-specific models designed to operate autonomously or semi-autonomously given instructions — are being widely implemented across enterprises (up to 79% of all surveyed for a PwC rep [...]
2025-10-29
The missing data link in enterprise AI: Why agents need streaming context, not just better prompts
Enterprise AI agents today face a fundamental timing problem: They can't easily act on critical business events because they aren't always aware of them in real-time.The challenge is infrast [...]
2025-12-09
Brand-context AI: The missing requirement for marketing AI
Presented by BlueOceanAI has become a central part of how marketing teams work, but the results often fall short. Models can generate content at scale and summarize information in seconds, yet the out [...]