Mem0

Adds persistent memory to AI apps with the Mem0 Python and TypeScript SDKs: store, search, update and delete user memories, with framework integrations.

mem0ai/mem0

Adds, searches, lists, updates and deletes memories on the Mem0 platform from the terminal with the mem0 command, including a JSON mode built for agents.

mem0ai/mem0

Adds persistent memory to Vercel AI SDK apps with the Mem0 provider, using a wrapped model or standalone retrieve and store utilities.

mem0ai/mem0

Saves a fact, decision or preference the user states into mem0 as written, labeled with a memory type such as decision, convention or user_preference.

mem0ai/mem0

Shows or changes the default Mem0 memory scope, project, session or global, which decides where memories are saved and searched.

mem0ai/mem0

Looks up stored agent memories by keyword or ID and prints compact one-line results instead of full detail.

mem0ai/mem0

Runs a four-part diagnostic on the mem0 plugin, checking the API key, identity resolution, memory search and memory write, then reports one pass-or-fail summary.

mem0ai/mem0

Shows everything mem0 has stored for the current project, grouped by category, with a compact search mode and an all-projects view.

mem0ai/mem0

Run MemMesh's competitive benchmark harness (LOCOMO / BEAM) to compare retrieval quality, tokens, latency, and cost against Mem0, Zep, full-context, and naive-RAG baselines.

ThinkfleetAI/memmesh

Shows every stored Mem0 memory grouped by category with full text, optionally across all projects or filtered by a search query.

mem0ai/mem0

Mem0 memory bridge for AI Girlfriend — search/read/write long-term memories from Qdrant vector DB.

momori777/Artemis

Adds Mem0 memory to an existing repository with a test-first pipeline that detects the language, lets you choose Platform or open source, and leaves a local feature branch.

mem0ai/mem0

Plan, then execute, a migration of a project from the mem0 open-source / self-hosted SDK (local Memory class) to the mem0 Platform / hosted SDK (MemoryClient).

mem0ai/mem0

A skill your agent uses when wiring memoryMiddleware from @tanstack/ai-memory into a chat() call — covers the recall/save adapter contract, scope shape and server-side scope security, the…

TanStack/ai

Searches Mem0 memories from earlier Pi sessions in the repository and prints a short block of the relevant ones before work starts, read-only and silent when empty.

mem0ai/mem0

Searches Mem0 memories from earlier OpenCode sessions in the repository and prints a plain-text block of up to 10 relevant ones before a task begins.

mem0ai/mem0

Stores a fact, preference or lesson verbatim in Mem0 through /mem0-remember and files it under a category such as preferences, decisions or goals.

mem0ai/mem0

Runs a quick semantic search over Mem0 memories and shows compact one-line results, or looks up a single memory by its ID.

mem0ai/mem0

Deletes Mem0 memories found by search query or memory ID, listing the matches and requiring explicit confirmation before anything is removed.

mem0ai/mem0

Guide for setting up and using the AgenticX memory system including Mem0 integration, long-term memory, context management, and memory-enhanced agents.

DemonDamon/AgenticX

Verify a Mem0 integration produced by /mem0-integrate. An agent skill from mem0ai/mem0.

mem0ai/mem0

Persistent long-term memory protocol powered by mem0. An agent skill from mem0ai/mem0.

mem0ai/mem0

Deletes the Mem0 memories stored for this repository and user, after telling the user exactly what will be removed and getting their confirmation.

mem0ai/mem0

Reports whether Mem0 memory is working in a repository, covering capture state, scope, API key, event counts and doctor checks, and flags an invalid key plainly.

mem0ai/mem0

Zero-overhead cognitive long-term and episodic memory for AI agents (Mem0 drop-in and mcp-hyperspace-memory).

YARlabs/hyperspace-db

Recall and persist durable project knowledge (decisions, conventions, gotchas, architecture) across SDD sessions.

madebyaris/spec-kit-command-cursor

Pause Mem0 memory capture on this machine. Use when the user wants to stop memories being recorded, for example for private work or experiments.

mem0ai/mem0

Acknowledge a "remember this" request and make sure it is captured well. Use when the user explicitly asks to remember, note, or save something for…

mem0ai/mem0

Searches Mem0 memories saved in earlier Kimi sessions of the same repository, with options for scope, category, result count and a specific session, to avoid repeating work.

mem0ai/mem0

Resume Mem0 memory capture after it was paused with /mem0:pause.

mem0ai/mem0

Decide whether your agent actually needs persistent memory, feedback loops, or closed-loop learning, then design the smallest thing that pays for itself.

ooiyeefei/ccc

A skill your agent uses when wiring mem0() from @tanstack/ai-memory/mem0 — a hosted memory adapter that talks to a mem0 server over plain HTTP (no SDK peer).

TanStack/ai

Import memories into MemMesh from an exported file, a native MEMORY.md / CLAUDE.md, an ADR/decision log, or a mem0 export.

ThinkfleetAI/memmesh

Migrate an existing memory setup ONTO MemMesh — either from another vendor (Mem0, Zep, Letta/MemGPT, a raw vector store) or from MemMesh Local (SQLite) up to MemMesh Hosted.

ThinkfleetAI/memmesh

Set up MemMesh for a new project — verify the MCP server is wired, pick local vs hosted, import any existing project knowledge (MEMORY.md, CLAUDE.md, a mem0 export), and seed initial scopes.

ThinkfleetAI/memmesh

Mem0 memory CLI: add memories from messages, semantic search, read or delete memories, poll async events.

Anil-matcha/awesome-muse-connectors