A developer built VoltMem, a memory layer for LLM agents that assigns different protection weights to facts based on their volatility, preventing stale knowledge from persisting while allowing volatil…
A developer built a benchmark to test whether a local-first knowledge tool called IWE could serve as agent memory by storing memories as linked markdown files and retrieving them with graph-aware tool…
AgentPrizm launched on July 9, 2026 with a governed memory layer for AI agents, addressing the problem of context window amnesia via REST and MCP interfaces. The platform includes AgentMemory for pers…
A developer compares Mem0 and TurboMem memory layers for TypeScript AI agents, highlighting architectural trade-offs between service-based and embedded memory. Slack Engineering introduces 'Agentic Te…
A developer compares Mem0 and TurboMem as memory layers for TypeScript AI agents. TurboMem runs as a native TypeScript library inside the process, avoiding the separate service and infrastructure requ…
DeepMind's AlphaEvolve broke a 56-year-old record by multiplying 4x4 matrices in 48 scalar multiplications, while recovering 0.7% of Google's worldwide compute and cutting Gemini's training time by 1%…
Four open-source projects—Graphiti, Hindsight, Mem0, and others—offer expanded memory capabilities for AI agents and large language models, using techniques like temporal knowledge graphs and multi-st…
Perseus Computing LLC released Mimir, a local-first, encrypted memory engine for AI agents as a single Rust binary with zero dependencies. The open-source tool provides persistent memory across sessio…
MemDelta, a new evaluation protocol for AI memory systems, reveals that performance varies significantly across model families, with retrieval-augmented generation (RAG) and full-context models showin…
Microsoft Research unveiled Memora, a memory system for AI agents that decouples storage from retrieval to provide scalable long-term recall. The system reduces context token usage by up to 98% while …
Microsoft researchers introduced Memora, a scalable memory system for AI agents that decouples stored content from retrieval mechanisms, achieving state-of-the-art performance on long-horizon benchmar…
MemDelta, a controlled evaluation protocol for agent memory systems, reveals that reported performance gains often stem from changes in embedding models or language models rather than memory architect…
Mem0, an open-source memory layer for AI agents with nearly 60,000 GitHub stars, has released v3.0 with temporal reasoning and multi-tenant isolation. The project scored 94.8 on LongMemEval and 91.6 o…
Truvem founder Dieng Amine has released TMX v0.1, an open standard JSON format for AI agent memory that enables portability across platforms, frameworks, and providers. The specification aims to solve…
A developer built slacktag-oss, an open-source Slack bot with persistent semantic memory powered by any LLM and Mem0's managed memory layer, eliminating the need for a vector database. The bot uses Me…
Developers building production AI agents in 2026 are using simple vector search, keywords, BM25, text matching, and RRF for long-term memory, avoiding graph construction due to costs. One team reports…
FERNme, a new user-owned memory layer for AI agents, updates memories with zero LLM calls using a Hebbian co-occurrence rule, keeping token costs flat and enabling users to see, edit, and own their da…
A developer released Memharness, an open-source bi-temporal memory primitive for AI agents that stores facts with provenance in a single SQLite file without LLM calls. The tool enables agents to answe…
AI memory systems for LLM agents fail at scale due to structural precision problems in similarity search, not incidental issues. Testing across three embedding models showed mean retrieval precision o…
Loomcycle 1.0, a feature-complete agentic runtime, is now available under Apache-2.0 license. The Go-based binary supports six LLM providers, 19 built-in tools, multi-replica high availability, and pa…