Changelog.

Product updates across supermemory API, MCP, plugins, SDKs, local tooling, and research.

One memory workspace for coding agents #

Claude Code, Codex, Cursor, and OpenCode memories now come together in one Agents workspace, organized by project.

Improvements

Choose a project once to search its memories across supported coding agents.
Memories created by older Claude Code, Cursor, and OpenCode plugin versions remain available in Agents.

Introducing Company Brain #

Meet a Slack-native super employee with your team's shared memory and tools. Company Brain learns in real time, answers questions, and does the work.

Features

Company Brain is now available as a Slack agent with shared memory for your company.
Company Brain has all your company context from Granola, PostHog, Linear, GitHub, Sentry, Gmail, Notion, and Plain, with even more through MCPs like Higgsfield, AutoSend, Autumn, Vercel, Figma, Stripe, Cloudflare, Supabase, Neon, and Atlassian Rovo.
Company Brain proactively joins Slack conversations when it has useful context, a correction, or a next step, without waiting for an @mention.

Inline memory suggestions in Claude and Gemini #

The Supermemory browser extension now suggests relevant saved context as you write prompts in Claude and Gemini.

Improvements

Relevant memories appear beside the composer and can be added to your prompt with Tab.
A live indicator shows when Supermemory is searching for context.

Simpler search in the TypeScript SDK #

Call client.search() once instead of client.search.memories() and client.search.documents(). Pass searchMode to return memories, documents, or both.

TypeScript example calling await client.search with the query Simpler search! — One call replaces the nested memories and documents search methods.

Improvements

const memories = await client.search({
  q: 'What did we decide about pricing?',
  searchMode: 'memories',
})

const documents = await client.search({
  q: 'onboarding checklist',
  searchMode: 'documents',
})

const both = await client.search({
  q: 'Simpler search!',
  searchMode: 'hybrid',
})

Claude Code, Cursor, and OpenCode plugins are now free #

The Claude Code, Cursor, and OpenCode memory plugins no longer require a paid plan. Connect one with any Supermemory account — free tier included — and your agent keeps persistent memory across sessions and projects, within your plan's usage.

Improvements

Free-tier accounts can now connect the Claude Code plugin and use memory across coding sessions.
OpenCode and Cursor plugins are free on the same terms.
Usage still counts toward your plan's included credits; only the plan gate was removed. OpenClaw remains on Pro.

Existing scoped API keys work with v4 conversations #

Scoped API keys that can add memories can now call the v4 conversations endpoint with the same container-tag and write-access protections as memory ingestion.

Improvement

Scoped API keys that can add memories now work with POST /v4/conversations, so conversation ingestion can be limited to approved container tags without requiring a full-access key.
Existing scoped keys with memory-ingestion access inherit the conversations endpoint automatically because conversations follow the same access rules as add.

Better memories on the self-hosted server #

The self-hosted server now turns your documents into richer, more reliable memories, and uploads spend less time queued before they become searchable.

Improvements

Search on the local server now understands time, so you can ask for memories from last week or a specific period.
The local profile endpoint now returns memories organized into buckets instead of a flat list.
Search results now rank the memories you saved directly above inferred ones, which stay available further down.
PDF and spreadsheet uploads are now handled more predictably.
Telemetry can be turned off completely by setting SUPERMEMORY_DISABLE_TELEMETRY=1.
Upgrade with supermemory-server upgrade, or read the full release notes on GitHub.

Pluggable embeddings for the self-hosted server #

Choose the embedding model your local server uses: the built-in local model, OpenAI, any OpenAI-compatible endpoint, or Google.

Improvements

Pick a provider at first boot or set it with SUPERMEMORY_EMBEDDING_* environment variables; the server locks the choice so all vectors stay consistent.
Existing installs upgrade safely and keep their original local embedding model.
Switching to a different model with the same dimensions stops with a clear error instead of mixing incompatible vectors.
Upgrade with supermemory-server upgrade, or read the full release notes on GitHub.

Faster memory search during embedding provider slowdowns #

Memory search now avoids long retry chains, so queries stay under 600 ms even when an upstream embedding provider slows down.

Supermemory API search request returning a successful response in 418 milliseconds.

Review suggested memories before saving them #

Review inferred memories from the dashboard and approve, decline, skip, or undo each suggestion before it becomes durable context.