AI agent memory has become a crowded corner of AI infrastructure funding in 2025 and 2026, with startups like Letta, Mem0, and Zep building persistent memory systems on vector databases and retrieval …
A developer built Mythicator, a CLI tool that syncs a single per-repo memory file across context files read by Claude Code, Codex, Gemini CLI, and Cursor, preventing AI coding tools from forgetting de…
Semvec, a semantic memory system from Versino PsiOmega, achieves near-mem0 quality on the LOCOMO benchmark with zero generative-LLM calls at ingest, reducing context tokens by 87% and ingest time by ~…
Zep released a plugin for Claude Code, Codex, and Cursor that bundles a new building-with-zep skill and a documentation MCP server, enabling coding agents to design agent memory implementations for sp…
A developer discovered that the widely-cited LOCOMO benchmark for AI memory excludes 22.5% of its questions—those testing whether a system can correctly say 'I don't know'—and instructs models to neve…
A developer's analysis of AI memory deletion reveals that consumer AI assistants like ChatGPT and Claude allow users to delete individual memories through settings panels, but cannot prove the underly…
A developer compared Zep's temporal knowledge graph with nlqdb for agent memory, finding that Zep excels at recall and entity resolution but fails at aggregation queries like 'average per group', whil…
NVIDIA released Nemotron 3 Embed on July 16, and the 8B model immediately landed at #1 on RTEB with a score of 78.5%, topping Voyage 4 Large, OpenAI text-embedding-3-large, and Cohere embed-v4. The mo…
A developer testing a support-agent LLM with a memory layer found that the agent retrieved the correct fact (user on enterprise plan) but still responded with an incorrect suggestion to upgrade to ent…
NVIDIA's Nemotron 3 Embed 1B embedding model took first place on every recall task in Zep's benchmark of 5,954 production queries, outperforming a 4B competitor with a third of the parameters and surp…
Zep, an agent memory platform, tracks provenance by recording the lineage of synthesized facts as a graph structure, enabling source-scoped retrieval, access control, and deletion propagation. The sys…
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…
Zep has introduced Attribute-Based Access Control (ABAC) for its API keys, allowing developers to attach policies that restrict which endpoints and graph data each key can access. The feature aims to …
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…
Researchers introduced the Narrative World Model (NWM), a writer-memory system that uses a narratology-grounded typed temporal-state graph and query-conditioned hybrid retrieval to answer multi-hop qu…
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…
Zep released the Memory MCP Server, enabling any MCP client to access a unified user memory graph governed by enterprise single sign-on. The server allows desktop assistants, coding agents, and custom…
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…
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…