Make0 Brain

One context for every AI agent you use. Claude Code, Claude Desktop, Cursor, Codex, Windsurf, VS Code, and Gemini CLI all read and write the same memory, and every change is versioned.

A local-first, open-source MCP memory server. It runs offline with no API key, keeps everything in one SQLite file, and speaks the same 7 tools as the hosted Make0 Brain.

Make0 · SWE-ContextBench results

npx @make0-ai/brain init

Why

Every agent keeps its own memory. Claude has CLAUDE.md, Cursor has rules, Codex has AGENTS.md, ChatGPT has its memory page. You end up explaining your stack, your preferences, and last week's decisions again in each one, and the copies drift apart.

Make0 Brain is one memory that all of them share:

• Tell one agent, every agent knows. A fact saved from Cursor is found by Claude Code in the next session.

• Nothing is overwritten silently. Every edit, from any agent, is kept as a version with who wrote it and when.

• It stays yours. One SQLite file on your machine, MIT licensed, exportable to plain Markdown.

Related MCP server: kepta

Quick start

1. Connect your agents.

npx @make0-ai/brain init

init finds Claude Code, Claude Desktop, Cursor, Windsurf, VS Code, Codex CLI, and Gemini CLI. It shows what it will change, asks once, keeps a .make0-backup of each config file, and adds Make0 Brain to each app. It then downloads the two local models (about 50 MB, once) with a progress bar, so your first question to an agent doesn't wait on a download. Restart the apps afterwards.

Connecting the server is not enough. The agent also needs a custom instruction so it searches Brain before answering and saves lasting facts there. init writes this into the global rules file for Claude Code (~/.claude/CLAUDE.md), Codex (~/.codex/AGENTS.md), Gemini (~/.gemini/GEMINI.md), and Windsurf. Cursor, Claude Desktop, and VS Code keep rules in settings, so init prints the same text for you to paste:

Make0 Brain is my source of truth for durable memory. Always search it before answering about me, my work, people, preferences, or past decisions. Save lasting facts and decisions to Brain. Never guess or invent memories. Use Brain exclusively for durable memory.

Skip the rule with init --no-rules.

2. Bring in the context you already have.

npx @make0-ai/brain import --detect             # CLAUDE.md, AGENTS.md, Cursor/Windsurf/Copilot rules
npx @make0-ai/brain import ~/Documents/MyVault  # an Obsidian vault or any Markdown folder
pbpaste | npx @make0-ai/brain import -          # e.g. a memory dump copied from ChatGPT

3. Look at it.

npx @make0-ai/brain view

Models live in ~/.make0/models and data in ~/.make0/brain.db. If you skip init (or pass --no-models), the first save or search downloads the models instead.

One context across all agents

Same tools in every app

After init, every connected agent gets the same 7 tools:

The names and schemas match the hosted Make0 Brain, so a prompt or agent setup works against either one.

Every memory knows who wrote it

Make0 Brain reads the client name each app sends when it connects and records it as the writer: claude, chatgpt, or cursor. Any other app is recorded as mcp, with its own client name kept too. Search results show addedBy for each memory, and every version records who wrote it. You can see which agent learned what.

Context stays consistent

• Contradictions replace older facts. If Cursor saves "I don't like dark mode in my editor" after Claude saved "I like dark mode in my editor", the newer memory wins and the older one is archived, with its history intact.

• Duplicates merge (with an API key). An LLM judge compares close matches and merges restatements into one memory. The merged text may only use words from the two originals, so it cannot invent facts. Without a key, duplicates are kept rather than guessed at.

• Related memories are linked. Similar memories get links automatically, and search follows them up to two hops, so asking about a project also surfaces the decisions tied to it.

Your existing agent rules become shared memory

import --detect reads the rule files you already wrote for one agent and makes them available to all of them. Make0 Brain's own "search Brain first" block is stripped out so it is never imported as a memory.

Memory versioning

Every write to a memory creates a version, whether it comes from an agent, an import, or you in the viewer. Nothing is overwritten in place.

What a version records

A version is written when the content, category, kind, or entity type changes. A confidence-only change does not add one.

Agents can read the history

Search results include versionCount. When it is greater than 1, an agent can call get_memory_versions to see how a fact changed and who changed it: for example, that you switched from npm to pnpm last month and which agent recorded it.

Nothing is lost

Browse and restore

npx @make0-ai/brain history <id>               # every version, current one marked *
npx @make0-ai/brain restore <id> --version 2   # make version 2 current again
npx @make0-ai/brain restore <id>               # bring back an archived memory

* v3  2026-10-27T09:14:02.118Z  claude
    The project uses pnpm and Node 22.
  v2  2026-10-20T16:40:51.502Z  cursor
    The project uses pnpm.
  v1  2026-10-02T11:05:33.910Z  user
    The project uses npm.

Restoring makes an older version current again and re-indexes it. No version is deleted.

npx @make0-ai/brain view opens a local page (on 127.0.0.1 only) where you can browse, search, add, and edit memories, read each memory's version timeline, restore a version, bring back archived memories, inspect the stored embedding, and permanently delete.

Search quality

Measured on SWE-ContextBench Lite, the same comparison as the Make0 benchmark page: 300 earlier coding sessions and 99 related issues. The score is how often search returns the gold past session. The local install uses the offline MiniLM embedder and the ms-marco MiniLM reranker, with a mean retrieval time of 0.44s per query on CPU once the models are loaded.

Rank 1, the gold session is the first result:

Make0 Brain (cloud)   █████████████████████████████░░░░░░░░░░░  71.7%
Make0 Brain (local)   █████████████████████████░░░░░░░░░░░░░░░  62.6%  0.44s
LangMem               ██████████████████████░░░░░░░░░░░░░░░░░░  55.6%
OpenViking            ███████████████░░░░░░░░░░░░░░░░░░░░░░░░░  38.4%
Free summary search   ██████████████░░░░░░░░░░░░░░░░░░░░░░░░░░  34.3%
Mem0                  ██████████░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░  25.3%
Supermemory           █████████░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░  23.2%

Overall, the gold session appears anywhere in the results:

Make0 Brain (cloud)   ██████████████████████████████████████░░  93.9%  top 10
Make0 Brain (local)   █████████████████████████████████████░░░  92.9%  top 10   0.44s
LangMem               █████████████████████████████░░░░░░░░░░░  73.3%  top 10
Supermemory           ████████████████████████░░░░░░░░░░░░░░░░  59.6%  top 15
OpenViking            █████████████████████░░░░░░░░░░░░░░░░░░░  51.5%  top 3
Mem0                  ████████████████░░░░░░░░░░░░░░░░░░░░░░░░  39.4%  top 3
Free summary search   ███████████████░░░░░░░░░░░░░░░░░░░░░░░░░  36.4%  agent chooses

LangMem, OpenViking, Mem0, Supermemory, and free summary search are from Table 5 of that paper. "Overall" counts a hit anywhere in each system's own result list; Make0 cloud, Make0 Brain, and LangMem each return 10. On the full benchmark (1,007 past tasks, 357 related issues), hosted Make0 scores 71.4% at rank 1 and 88.2% overall. A stronger embedder and reranker raise accuracy.

How search works: MiniLM embeddings and BM25 keyword scores are blended, a cross-encoder reranks the shortlist (or an LLM filter, with a key), weak results are pruned, and the top results are expanded two hops along memory links.

Import and export

Import

• Folders and vaults. Each note becomes one memory. Long notes split by heading, and each part keeps the note title. Frontmatter tags or the folder name become the category. Obsidian [[wikilinks]] become links between memories. .obsidian/ and .trash/ are skipped.

• Agent rule files. --detect finds global rules under your home folder and project rules in the current folder.

• Re-runs are safe. Unchanged sections are skipped, edited ones get a new version, and memories you deleted stay deleted.

• --extract (needs an API key) turns files into one-fact memories instead of note-sized ones.

• --dry-run shows what would change. Imports over 200 memories ask first; --yes skips the question.

Export

npx @make0-ai/brain export ./my-brain          # one Markdown file per memory, opens as an Obsidian vault
npx @make0-ai/brain export --json brain.json   # every memory, version, and link (the Make0 port format)

The Markdown export imports back in. The JSON bundle includes archived memories and the full version history. It does not include embeddings; whoever reads it re-embeds with their own model.

Optional API key

Everything works offline. With a key, Make0 Brain also merges duplicate memories, picks better categories, filters search results with an LLM, and can import --extract.

Copy .env.example to .env in this folder, or to ~/.make0/.env so every app shares one file:

cp .env.example ~/.make0/.env

OPENAI_API_KEY=sk-...            # or OPENROUTER_API_KEY, or MAKE0_BRAIN_API_KEY
MAKE0_BRAIN_BASE_URL=            # any OpenAI-compatible endpoint (optional)
MAKE0_BRAIN_LLM_MODEL=           # default gpt-6-luna
MAKE0_BRAIN_EMBEDDINGS=api       # API embeddings instead of local MiniLM
MAKE0_BRAIN_LLM_SEARCH=0         # keep search on the local reranker

Make0 Brain reads ./.env, then .env in the data folder (MAKE0_BRAIN_HOME, default ~/.make0). A variable already set in the environment, including in an MCP client's env block, wins. Switching embedders is safe: memories indexed by another model are re-embedded on the next search.

Local or cloud

A one-command port from local to Make0 cloud is coming. The export --json bundle is the format it will use, with history and attribution included.

Reference

CLI

make0-brain                      Run the MCP server over stdio
make0-brain init                 Add Make0 Brain to your AI apps and download the models (--dry-run, --yes, --clients, --no-rules, --no-models)
make0-brain import <path…>       Import files, folders, or a vault (--detect, -, --extract, --dry-run, --yes)
make0-brain export [dir]         Markdown export (--json [file] for the bundle)
make0-brain view                 Open the memory viewer in a browser (--port, --no-open)
make0-brain stats                Show memory and link counts
make0-brain history <id>         List saved versions of a memory
make0-brain restore <id>         Restore an archived memory (--version <n> for an older version)
make0-brain purge <id> --yes     Permanently delete a memory and its versions

init --clients takes a comma-separated list of claude-code, claude-desktop, cursor, windsurf, vscode, codex, gemini.

Manual setup

If init doesn't cover your app, add a stdio server and paste the custom instruction from the quick start into that app's rules:

{
  "mcpServers": {
    "make0-brain": { "command": "npx", "args": ["-y", "@make0-ai/brain"] }
  }
}

Environment

Develop

npm install
npm test            # fast suite, no model downloads
npm run test:models # real local models
npm run test:e2e    # build, then drive the stdio server

License

MIT