Knowl, an open-source agent memory system, retires stale facts when they change by splitting knowledge into atomic units and flagging conflicts as superseded. In benchmarks on MemoryAgentBench FactCon…
An engineer argues that the Model Context Protocol (MCP) moves context but does not create it, highlighting that while MCP simplifies tool integration for AI agents, it fails to resolve cross-system f…
Talvik, Inc. has released MAK4I, an open protocol for packaging, identifying, versioning, sharing, injecting, and reusing AI artifacts across models, platforms, and organizations, currently in Phase 0…
A comprehensive comparison of the top five vector databases for AI agents in 2026 highlights a shift from raw ANN speed to features like multi-tenancy, hybrid search, and quantization. Qdrant, Pinecon…
Mem0, a startup building long-term memory for AI agents, is hiring a Research Engineer for Agent Memory in San Francisco with a salary of $175k–250k/yr. The role involves fine-tuning models for memory…
Seahorse, a new open-source memory system for LLM agents, stores persistent, bi-temporal memory in local markdown files readable in Obsidian, addressing the problems of opaque, costly, and unreliable …
A developer built PaperPlanes, a stateful research assistant with a bi-temporal memory engine, to address context degradation in AI agents. The system uses CockroachDB for bi-temporal storage, an MCP …
Semantica, a Python framework with more than 8,000 GitHub stars, is positioning agent memory as an audit tool by recording decisions as first-class nodes with W3C PROV-O provenance and bi-temporal fac…
A developer created MemoryGatekeeper, a Python class that gives AI agents a persistent memory of past tool-call failures using Mem0's local vector store. The gatekeeper checks semantic similarity agai…
Faisal Iitian released MindCache, a Python SDK with an MCP server for long-term memory in LLMs, reporting a 64% average rubric pass rate on his BEAM evaluation versus about 53% for Mem0. The system us…
DeepMem, a drop-in AI memory layer compatible with the Mem0 API, claims 2× faster response times and 10× lower cost, with self-hosted options at $0 and cloud plans starting at $1.9/month compared to M…
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…
A final-year project called ANAMNESIS, running to April 2027, addresses a gap in LLM memory systems: facts recorded correctly can later become false as the world changes, and no existing system foreca…
Mem0's memory conflict resolver, which uses LLM-driven text similarity to automatically add, update, or delete memories, can silently delete facts that are still needed when it misinterprets context-s…
E J Ziyad launched UML (Universal Memory Layer) on July 31 as a shared memory system for Claude, ChatGPT, coding agents, and custom apps, using a graph-based architecture to store and retrieve durable…
A developer built a personalized long-term memory RAG stack on Fedora 44 using Mem0, Qdrant, and Open WebUI, with a FastAPI proxy that injects relevant past facts into chat prompts and auto-extracts n…
A developer's RE-call memory system, which never calls an LLM, scores lower on temporal reasoning (0.408 vs. 0.567) than Mem0 on the BEAM benchmark, but avoids any LLM cost and keeps data in Postgres.…
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 explains that LLMs are stateless and that the intelligence of a long-running agent lives entirely in the harness that manages memory injection. The post introduces Smriti, an open-source t…