memory

An AI agent built to help manage ADHD-related workflows through Telegram. It connects to calendars, Todoist, Obsidian, web search, browser automation, TTS, and uses memory, sub-agents, and specialist personas for planning and task handling.

An essay arguing that second-person system prompts create attentional overhead and identity fragmentation in agent design, and proposing first-person initialization as an alternative.

NanoBrain is a markdown-and-git personal knowledge base framework that captures AI sessions and connected sources like Gmail, Calendar, Drive, and Slack, then distills them into a portable “second brain.”

A drop-in memory plugin for Hermes Agent that uses a pull-model episodic memory approach with real deletes and audit traces. It supports synchronous writes, trace logging, and Claude-backed summarization for on-demand recall.

A guide for exporting ChatGPT, Claude, and Gemini history into XTrace MemHub, then downloading Markdown for an Obsidian-style wiki and graph view. It explains the export flow, supported platforms, and the Markdown ZIP output.

Open-source repo for Muse’s “chief of staff” workflow: it coordinates specialist agents, preserves per-agent memory, and builds a private Office app for tracking projects, team, customers, reports, and notes.

Open-source personal AI companion that runs on your own machine, with persistent memory, background tasks, local voice, browser automation, and support for MCP and common personal data sources.

Colyap is an AI phone friend you can call or text. The page shows voice-call and SMS access, memory, reminders, and task help like booking dinner, researching flights, and sending follow-up texts.

Katra is an open-source, self-hosted cognitive memory system for AI agents with MCP support. The repo describes episodic recall, semantic search, knowledge graphs, temporal analysis, and Docker-based deployment for MCP-compatible agents.

An arXiv paper describing a governed, local-first memory system for AI agents, with audit trails, role-based access, verified erasure, and fault-injection results. The page also links to associated code and a Zenodo DOI.

An essay about why AI agents should use project documentation instead of conversation memory, with a description of the author’s Operator Memory system for markdown-based agent memory.

A blog post about an experimental local LLM system where three qwen3.5:9b agents run autonomously, maintain stress states, self-modify capabilities, and coordinate through a shared OS-like layer.

A research hub for the paper and survey "Toward Efficient Agents: A Survey of Memory, Tool learning, and Planning," with organized paper navigation across memory, tool learning, and planning topics.

A Hugging Face paper page describing a memory layer for LLMs that stores KV state to encrypted NVMe and reloads it later without recomputing, with results from 50M-token experiments on Gemma models.