Keep the useful parts.
Write a capsule with a title, mission, decisions, constraints, and next steps. Review and edit a compact record of the work you want to continue.
Start a conversation with your local model. Keep the mission, decisions, constraints, and next steps in memory capsules you choose to include. Review work from compatible AI clients in your Inbox, connect approved rigs, and publish selected work with Folio.
Bundled Apple silicon Mac app · Windows/Linux Python launchers · Folio included
Choose a model. No second rig needed.
Proposals arrive in your Inbox. You choose the next step.
Review and release selected work from the same app.
Portable memory capsules keep useful context ready for the next conversation. You choose what the model receives.
Write a capsule with a title, mission, decisions, constraints, and next steps. Review and edit a compact record of the work you want to continue.
New and imported capsules start off. Select them in a Channel, enable that Channel’s chat permission, and choose Include Channel context for the request. Editing clears inclusion.
Export a local .braidmemory file. On another Channel or rig, inspect its fields and confirm the import. The new copy starts excluded from chat, under that rig’s own controls.
One rig is enough. Local chat, readable streaming and code, the approval Inbox, scoped MCP connections, Connections views, and Folio remain built in. Inspect the exact capsule context supplied with a request; inclusion does not prove that a model used or understood it.
Decisions, constraints, research: share the parts your next conversation needs.
Review a project note and send it to an approved rig. See whether it was sent, received, accepted, or made available to chat. Free on your local network.
Chat in Braid with relevant, permitted Channel notes. Inspect the exact material supplied to your local model.
Each rig chooses who can send, receive, and use its notes. Ordinary conversations and replies never auto-forward.
“Keep the second server within 500 credits.”
“What’s our limit for the second server?”
Your local model · shared-note evidenceIllustrated workflow. Your selected local inference server generates the answer.
Turn a private conversation into a deliberate public edition. Folio keeps your original beside the public article. Choose an Editorial or Retro layout, add local images and rich formatting, and connect related editions.
Local advisory warnings highlight obvious file paths, private IPs, key-like strings, and machine hostnames for your review. Clear approval and published-state indicators show whether your draft matches the latest exported bundle or needs re-approval and re-export. Separately hosted pages are not checked. Nothing publishes without your explicit approval. In a hands-on check, a public edit invalidated approval. After renewed human review, the five-file local export excluded both synthetic private markers and passed its checksum checks.
The useful part of a conversation can become a small, readable publication. Keep your voice. Choose what the next person sees.
FROM DRAFT TO EDITIONSelect · Edit · Review · Approve · Export
Illustrative edition, not a public user transcript.
Start Ollama, vLLM, LM Studio, or a compatible server on this machine or your LAN.
In Braid, choose Chat with Local AI and open or create a Channel.
Select your backend and completion model. Configure a server address if needed, then send your first message.
Add approved rigs when you want to share context. Review selected conversations for publication with Folio.
Your local AI workspace, with portable mission memory, an Inbox for work from your agents, and a publishing studio for the work you choose to share.
Use your own Ollama, vLLM, LM Studio, or compatible local inference server and models. The Apple silicon Mac app includes Python and its app libraries. Windows/Linux launchers require CPython 3.10–3.13. Folio needs no model.
95.63 MB · Folio 0.4.0 included
Extract the ZIP. On an Apple silicon Mac, copy Braid 2.1.app to Applications and open it. On Windows, use Start Braid.cmd; on Linux, use sh "Start Braid.sh" with supported Python installed.
Braid 2.1 uses a separate profile. Existing stable and preview profiles are not automatically migrated. Choose Chat with Local AI for your model, a Channel’s Memory view for capsules, or Connections to authorize an MCP client.
Download Braid 2.1Validation and platform limits: final Braid 2.1.0 passed 843 source tests and 38 native Mac checks. The founder reports successful Windows prerelease startup, local Channel chat, and fresh-chat capsule recall. Linux execution remains unqualified; Windows/Linux use Python launchers. Platform details.
Mac app: ad-hoc signed, not notarized. Model servers and model weights are configured separately. Prefer the existing 1.9.5 package?
Folio is included in the free Braid app. Membership uses the same installation.
Free
Approved LAN sharing, project Channels, local chat, and Folio publishing. Try a sample conversation before setting up a second rig.
Get Braid
FOUNDING MEMBERSHIP$99 / year
Best-effort human help, early access, and provisioned Away from home for at least two device identities.
Join Founding MembershipManage billingManaged WAN is early access and needs separate operator-assisted activation. Check availability with hello@intersignal.ai before joining for that capability alone. Checkout does not activate a rig.
Your home computer stays awake, online, and running Braid. Notes and remote Channel questions need separate peer permissions. Membership supplies neither computers nor hosted inference, models, or an unlimited service guarantee. Support is reasonable and best-effort, not a production SLA.
LAN and Folio stay free. You choose Managed WAN explicitly for approved destinations; a failed LAN handoff never silently switches to the internet. Detailed WAN setup and historical evidence.
No. You select and review the material. Each receiver controls its own permissions. Private Folio originals and excluded passages stay out of Braid networking and public exports.
The exact edition you review and explicitly approve. The split-view studio lets you include or exclude source blocks and redact public excerpts beside the article preview. Sensitive-detail warnings run locally and remain advisory. Editing public content invalidates approval. The state banner distinguishes local changes, an approved draft awaiting export, and content matching the latest immutable export; it does not verify your hosted website. Folio exports HTML or a site ZIP for your own hosting. Scheduled streams prepare review drafts. Choose Editorial or Retro layouts, add local images and related editions, and check phone or print previews. Classic HTML is a separate compatibility choice; live Braid connection invitations require Modern HTML.
You may add an invitation to a publication. A reader requests a connection; you decide whether to accept. Rig-card exchange, fingerprint approval, and scope controls remain explicit. A public page never grants Braid authority.
Ollama models are discovered automatically. For vLLM, LM Studio, or another OpenAI-compatible local or LAN server, open Server settings, enter its address and port, and choose a model. No API key is needed unless that server requires one. Your existing inference server can keep running alongside its independent interface.
A capsule has five fields: title, mission, decisions, constraints, and next steps. New and imported capsules start excluded. To supply a capsule to local chat, select it in the Channel, allow that Channel’s context, and enable Include Channel context for the request. Editing clears the capsule’s inclusion. The request receipt lets you inspect the exact fields and revision supplied to the model. Changing included capsules or turning inclusion off starts fresh model context for that conversation; earlier chat turns stay visible.
Export/import moves a local .braidmemory file after your review. It does not automatically synchronize rigs, share a Channel note, publish through Folio, or grant an MCP client access. The file is readable text. Its checksum detects changes; it does not establish who wrote it. Capsule inclusion is selected context, not a guarantee that the model will follow it. Turning inclusion off affects future requests; it does not erase earlier exports or copies.
With an explicit MCP grant, a client can discover its authorized rigs and Channels, read specifically selected context, propose a note or handoff, and inspect its own requests. Proposals wait for human review. Approval creates a local note draft or stages a handoff; sending remains a separate human decision. The MCP connection grants no remote execution or Folio publishing authority.
You can cancel an approved unsent handoff, revoke a client, or acknowledge an uncertain result without changing its delivery evidence. Completed work remains in Review history. In earlier 2.0 hands-on checks, the scoped MCP tools were tested with Codex CLI 0.164.0-alpha.11.1 on Mac: authorized discovery, selected context, note and handoff proposals, and own-request status. Checks covered human draft edits, rejection without delivery, and refusal of a fresh connection using revoked credentials. These results apply to that client version and those workflows. Claude Code, Cursor and OpenClaw remain unqualified.
Braid 2.1 uses a separate profile. Existing stable and preview profiles are not automatically migrated. Existing identities, Channels, grants, and history are not automatically migrated. Keep a complete private backup of the profile you use. The ZIP includes setup, validation, and profile guidance.
The Braid 2.0 preview package remains available, alongside the 1.9.5 fallback below.
Braid-2.1-2.1.0.zip · 95,626,988 bytes. SHA-256:
12c5daf0050fe3e6b0b5f81c346bf370217c25c27e78ac7c3d1fb515de0ef2d9The ZIP contains the Apple silicon app and its runtime, companion CLI, public source, Python launchers, licenses, and validation notes.
The bundled native app is for Apple silicon Macs and has been exercised on macOS 15.5. Its configured minimum is macOS 13; other macOS versions and Intel Macs have not been qualified for this build. The app is ad-hoc signed, not notarized.
Windows and Linux use the included Python launchers, requiring CPython 3.10–3.13 with pip and venv. First setup needs internet or a prepared offline dependency pack. These are not bundled native Windows/Linux apps. In the 2.1 prerelease, the founder confirmed Windows startup, local Channel chat with the model labeled “nemotron 3.5 bolt,” and fresh-chat capsule recall. These are human reports, not an independent performance benchmark or full Windows qualification. Exact Windows context receipts, opt-out, edit invalidation, file portability, and restart checks remain pending. Linux execution remains unqualified.
For the prior package, download Braid 1.9.5. Your local model server and model weights are separate from both packages.