memory

A local-first, file-based context and memory system for AI coding assistants. It’s designed to persist decisions, tasks, and learnings across sessions so tools can rehydrate project context instead of starting from scratch.

Persistent memory for coding agents that stores hard-won codebase discoveries and revalidates them when files change. The repo describes a CLI hook flow for Claude Code and Codex, with install steps, command examples, and an evaluation claim showing fewer tokens on repeat questions.

A Claude Code plugin and MCP server that keeps a persistent, read-only memory of a repo so agents can ask broad codebase questions without re-reading files every session.

A governed memory runtime for AI assistants with typed storage, policy checks, audit logging, tenant isolation, and hybrid retrieval. The repo includes a backend API, worker jobs, SDK examples, architecture docs, and eval harnesses.

Hearth is an open-source local AI agent that can control a Windows PC: it opens apps, reads and writes files, drives a browser, uses voice, and keeps memory across sessions.

Python toolkit for building LLM agents with MCP servers, skills folders, memory, streaming, and metrics support.

FERNme is an open-source memory engine for AI agents that uses fuzzy graphs and Hebbian-style updates to store user preferences with near-zero LLM calls. The repository highlights editable user-owned memory, flat token usage, outcome-based reinforcement, and deployable plumbing via REST and MCP.

Local-first long-term memory engine for AI agents with MCP, HTTP API, CLI, and Python usage. The page shows installation paths, IDE integrations, ingestion sources, and a live feature set focused on durable context, retrieval, and privacy.

OpenLoomi is an open-source desktop AI workspace that connects to apps like email, calendar, chat, docs, and project trackers to build a persistent context graph with proactive actions and local-first storage.

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.

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.

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.