More local AI servers.
Use Ollama, vLLM, LM Studio, or an OpenAI-compatible local or LAN server. Set its address and port, discover models, and choose your favorite.
Open a Channel, choose your Ollama, vLLM, or LM Studio model, and start chatting. Connect approved rigs to share selected context, then publish reviewed work with Folio.
macOS · Windows · Linux · Folio included
Choose a model. No second rig needed.
Share selected notes between approved machines.
Review and release selected work from the same app.
A welcoming home for local AI, from your first chat to connected work.
Use Ollama, vLLM, LM Studio, or an OpenAI-compatible local or LAN server. Set its address and port, discover models, and choose your favorite.
Choose Chat with Local AI, open a Channel, and start talking. Switch your backend or model without setting up another rig.
Watch responses arrive with a subtle green leading block, readable Markdown and code, and reduced-motion support. No added typing delay.
Shared-note answers wait for grounding and permission checks before display. Existing rig sharing, handoffs, and Folio publishing remain in place.
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.
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 and publishing studio, together in Archangel 1.9.5. Chat on one rig, connect others when you are ready.
Bring Ollama or an OpenAI-compatible local inference server and your own models. The Mac app includes its runtime; Windows and Linux need Python 3.10–3.13. Folio needs no model.
80.16 MB · Folio 0.4.0 included
Extract the ZIP. Copy Braid.app to Applications and open it on an Apple silicon Mac. Double-click Start Braid.cmd on Windows, or run sh "Start Braid.sh" on Linux.
Choose Chat with Local AI to select your server and model. Or try the sample conversation to explore Folio without a model.
Download Braid 1.9.5Windows & Linux tested in 1.9.4: reported checks covered Windows local inference and messaging, plus Linux receipt, acceptance, and Channel indexing. Repeat the real-model and cross-platform checks for 1.9.5. Windows/Linux use Python 3.10–3.13 launchers; first setup needs internet or a prepared offline dependency pack. Platform details.
Mac app: Apple silicon, macOS 13 or newer; opens without a Terminal window. Ad-hoc signed, not notarized. Build details.
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.
Quit the old app and back up your complete private profile before upgrading. Braid retains identities, Channels, grants, and history. A standard Folio 0.3.0 profile is copied once into separate integrated storage; the original remains. Legacy drafts need a fresh review. Read migration notes.
Braid-1.9.5.zip · 80,159,568 bytes. SHA-256 of the built release archive:
e7102b5e3526fbd99d7311051f63f4bcfc7ecba5e0651c90f31eb510df8593efThe ZIP includes source, release notes, migration guidance, test results, and remaining physical checks.
Braid-1.9.5.zip includes the self-contained Apple silicon Mac app (macOS 13+) and Windows/Linux launchers. Windows/Linux require standard CPython 3.10–3.13 with pip and venv; first setup installs pinned dependencies into a private runtime. The Mac app is ad-hoc signed, not notarized.
Cross-platform tested in 1.9.4. Reported Windows checks included Nemotron Bolt chat, peer connections, and messaging; Linux checks included message receipt, handoff acceptance, and Channel indexing. Physical verification of 1.9.5 on Mariana and Orpheus remains to be completed. Read the prior test scope.