screenpipe

Memory graph and retrieval layer that gives AI agents long-term context.

Papr is a memory layer for AI agents that turns unstructured data—documents, conversations, and logs—into a searchable knowledge graph with long-term recall. It offers graph-aware retrieval, automatic chat-memory compression, and TypeScript and Python SDKs, exposed through a REST API and a managed cloud dashboard. Its papr-2 model reports sub-150ms cached retrieval, and the core can be self-hosted.

SQL-native memory engine for LLMs and AI agents.

An LLM-agnostic memory layer that turns agent conversations and execution into persistent, queryable state stored in standard SQL databases (Postgres, MySQL, SQLite). It adds long-term memory to any LLM app with roughly one line of code, using a dual-mode system for working and long-term recall. MemoriLabs also offers a hosted enterprise memory fabric on top of the open core.

Open-source agent memory that retains, recalls, and reflects.

Hindsight is an open-source memory system for AI agents that works like human memory — organizing world facts, agent experiences, entity summaries, and evolving beliefs into four networks. Its retain/recall/reflect operations let agents reflect on past runs and update beliefs instead of repeating mistakes. It was built by Vectorize with Virginia Tech and The Washington Post.

Portable single-file memory layer for AI agents — no database.

Memvid stores an agent's knowledge as compressed 'Smart Frames' in a single portable .mv2 file that bundles data, embeddings, and the search index — replacing vector databases and complex RAG pipelines. It offers sub-5ms retrieval, append-only versioned storage, and runs fully offline. The format is model-agnostic and multimodal.

Self-evolving long-term memory OS for AI agents.

EverMind builds persistent memory infrastructure for AI agents. Its EverOS (a.k.a. EverMemOS) is a brain-inspired memory operating system — sensory encoding, hippocampal-style indexing, and long-term consolidation — that gives agents context that survives across sessions and platforms, with multimodal retrieval and agent-trajectory recording. It's a portable layer meant to plug into Claude Code, Codex, and other agents; self-host the Apache-2.0 core or use the managed EverOS Cloud.

Open-source memory layer for AI agents.

MemMachine is an open-source memory layer that lets AI agents learn, store and recall information across sessions, turning stateless chatbots into personalized, context-aware assistants. It combines episodic memory (conversational context) with profile memory (long-term user facts) and is model-agnostic, working across providers. It is self-hosted and built primarily in Python.

Memory and context layer for AI agents.

Hyperspell is a context and memory layer that connects an agent to its user's workspace data — Slack, Gmail, Notion, Linear, Salesforce, and more — through 50+ pre-built connectors. It continuously indexes that data into a context graph and exposes it to agents as a queryable filesystem, so any framework can give its agents governed, personalized memory. It targets production use with SOC 2 and GDPR compliance.

Memory framework for long-running, always-on AI agents.

memU is a memory framework for proactive, always-on AI agents from NevaMind AI. It ingests multimodal inputs (conversations, documents, images), extracts them into structured memory organized as a hierarchical file system, and retrieves the right context via vector-indexed semantic recall. The approach is designed to keep agents online continuously at a fraction of the usual token cost. It is open source under Apache 2.0, with self-hosting plus a hosted cloud API.

An always-on AI second brain that captures and remembers everything you hear.

TwinMind runs in the background on your phone, continuously listening to meetings, lectures, and conversations to build a private, searchable memory you can query in plain language. It transcribes on-device, generates notes, to-dos, and daily digests, and answers questions across everything it has heard. The proprietary Ear-3 speech model handles 140+ languages, and audio is processed locally for privacy, with cloud AI chat in the paid tiers.

A private, AI-organized place to remember everything.

mymind is a personal memory tool: save notes, links, articles, images, and quotes, and it auto-tags and sorts them for you — no folders, no manual filing. AI recognizes what each item is (article, product, recipe, book) and surfaces it again through fast visual, associative search. It's built privacy-first, with no ads, no tracking, and nothing sold or used to train models.