Tag
OpenHuman is a locally-run open-source AI assistant with persistent memory and over 100 integrations, recently trending on Product Hunt and GitHub.
PAI (Personal AI Infrastructure) is an open-source GitHub project that gives AI a permanent, structured memory system across sessions, with features like a digital assistant, skills, workflows, and a self-improvement loop.
IndexKit is a simple, low-cost, tag-based persistent memory system for AI agents that requires no vector database, survives model deprecations, and works with any LLM.
Hermes agent's three-tier memory system combines tiny always-present markdown files, full-text SQLite+FTS5 session search, and pluggable external providers to give AI agents persistent, curated memory that composes on every turn.
A comprehensive guide to Hermes Agent by Nous Research, highlighting its self-evolving skills, three-tier memory, and GEPA optimization capabilities for building persistent AI agents.
Agentmemory offers persistent memory for AI models such as Codex, Hermes, OpenClaw, and Claude, allowing them to maintain long-term context across interactions.
The author introduces DRIFT, a local AI system built with Python and Ollama that features persistent memory, simulated somatic feedback, and Jungian psychological modeling to create a more grounded, sovereign AI interaction.
The article discusses Andrej Karpathy's 'LLM Wiki' concept as a paradigm shift from traditional RAG, arguing that maintaining a persistent, evolving knowledge substrate allows for compounding understanding rather than stateless retrieval.
EvoScientist is an open-source framework that automates research workflows using self-evolving AI scientists with persistent multi-agent memory, adopting a human-on-the-loop paradigm for autonomous research exploration and insight generation.
Hermes Agent by Nous Research is an open-source, self-improving autonomous agent that learns from every session and builds persistent memory over time. Tavily integrates as its web search backend to improve search quality and prevent bad data from compounding into the agent's long-term memory and skills.
MaxHermes is an AI agent that retains memory across sessions, auto-generating skills from completed tasks and improving them through repetition, effectively acting as a personalized, always-on assistant for workflows in messaging platforms.
AIPass is a local CLI multi-agent framework that gives AI agents persistent identity, shared filesystem access, and inter-agent messaging without sandboxes, built solo in public over 7 weeks with 4k+ tests and 400+ PRs.
StageMem proposes a lifecycle-managed memory framework for language models that organizes memory into transient, working, and durable stages with explicit confidence and strength metrics, treating memory as a stateful process rather than a static store to better manage retention and forgetting under bounded capacity.
EvoScientist is an adaptive multi-agent framework for end-to-end scientific discovery that continuously improves through persistent memory modules, comprising three specialized agents for idea generation, experiment execution, and knowledge distillation. It outperforms 7 state-of-the-art systems in scientific idea generation and improves code execution success rates through multi-agent evolution.
agentmemory is an open-source persistent memory layer for AI coding agents (Claude Code, Cursor, Gemini CLI, Codex CLI, etc.) that uses knowledge graphs, confidence scoring, and hybrid search to give agents long-term memory across sessions via MCP, hooks, or REST API. Built on the iii engine, it requires no external databases and exposes 51 MCP tools.