Do coding agents need memory or documentation?
Research published in August and September 2026 found that agent memory systems which choose what to remember rarely beat no memory at all, according to five papers reviewed on 2026-10-05, including V…
Research published in August and September 2026 found that agent memory systems which choose what to remember rarely beat no memory at all, according to five papers reviewed on 2026-10-05, including V…
NVIDIA NeMo Agent Toolkit (NAT) now supports Amazon S3 Vectors as a custom persistent memory provider, implemented through NAT's MemoryEditor interface with add_items(), search(), and remove_items() m…
Kortexio released ContextMemory, an open-source self-hosted memory gateway that sits in front of any OpenAI-compatible /v1 engine such as llama.cpp, vLLM, Ollama, LM Studio or OpenAI and stores sessio…
A developer who failed a system-design interview for a sales-agent memory layer built CogLayer, a working implementation of the Mem0-style hybrid retrieval plus LLM-judgment pipeline described in arXi…
A developer surveyed setup documentation from six memory vendors — Mem0, Letta, Zep with Graphiti, Cognee, Supermemory and Mnemoverse — and found that npx performs five different jobs across them, onl…
A developer released Mnemosyne, a local-first memory provider for Hermes Agent that stores working memory, structured facts, temporal data, and episodic history in local SQLite with no hosted service …
A creator writing as Aru published lossless-memory, an open-source local Python memory layer for AI assistants, on GitHub on September 4th, storing every conversation turn as a seven-field record in d…
A developer compared six agent memory systems — Mem0, Zep with Graphiti, Cognee, Letta, Supermemory and Mnemoverse — and found that in all six, graph edges are created on write, with only two walking …
An open-source project called Friday launched as a self-hosted persistent memory layer for AI coding agents, connecting to tools such as Cursor, Claude, Copilot, and VS Code through the Model Context …
Mem0 is now available as a native integration on the Vercel Marketplace, giving AI agents and apps long-term memory that persists user preferences, facts, and context across sessions. The integration …
A developer surveyed six AI memory systems — Cognee, Mem0, Letta, Supermemory, Zep, and Mnemoverse — to determine whether any publish an input that accepts an explicitly negative verdict on a recalled…
A security engineer built m8m, a tool for auditing the persistent memory files that AI coding agents like Claude Code, Codex, and Cursor write automatically, after finding no way to inspect what those…
A developer compared six persistent memory systems for AI coding agents over MCP and found that cross-editor memory sharing depends entirely on account-level setup rather than connection health, since…
AI agent memory is not a persistent brain but a combination of context windows, vector databases, and summarizers, according to an analysis of current architectures. Models like Claude Opus 5 and GPT-…
MIT-licensed Phoenix V2, a local-first AI assistant with persistent memory, emotional state, and self-model, has been released as a companion codebase to Cleverson Santos's book 'Building Persistent A…
A developer introduced virage, a new tool that creates a searchable vector index of a codebase, complementing the previously released kms tool for capturing curated decisions. Virage uses AST-aware ch…
InfiniteMem, a deterministic, self-hosted episodic memory system for AI agents, reports a LoCoMo QA score of 70.49% and claims a capacity of 1 million episodes or 145 million tokens per deployment, ro…
A developer has compiled a list of eight open-source tools for building AI agents with memory, including Statewave, Mem0, Graphiti, Cognee, LangGraph, and Letta. The tools are grouped by their functio…
Mnemoverse, a vendor on the list, published a decision map for choosing AI agent memory systems in 2026, arguing that the best choice depends on how much of the application the memory system should ow…
A developer warns that LLM memory systems in production fail silently because retrieval quality degrades while dashboards remain green. The analysis cites benchmarks showing leading systems score 92.5…