Spark: your daily companion.
For people who want reliable help with everyday life. No complexity, just someone who shows up.
What you get
Always in reach
Your AI sits quietly in your menu bar or system tray. One click and it's there, any time you need it.
Always on
Chat from where you already are
Text your AI on Telegram, iMessage, or Discord. Apps you already use every day. No new interface to learn.
3 channels
Looks things up for you
Ask anything and your AI searches the web for you. No need to open a browser, compare tabs, or wade through ads.
Free
Feels like yours
Give it a name. Tell it how you like to be talked to. Whether you want friendly or straight to the point, it listens.
Fully yours
Remembers your conversation
Follows along as you chat so you don't have to keep repeating yourself. Every message builds on the last.
Per chat
Your data stays under your control
Forge runs on your own machine and your conversation history is stored locally. AI responses are processed via a secure managed endpoint. No advertising, no selling your data.
No data selling
Your morning brief
Ask what's on for the day. Get appointments, follow-ups, and anything you mentioned wanting to remember.
What's on today?
You have a dentist at 2, and you mentioned following up with the insurance company. Also, it's your daughter's recital tonight at 6:30.
Reminders that actually stick
Not just a timer. Forge remembers context so next time you mention the pharmacy, it knows you've been meaning to call.
Remind me to call the pharmacy when I get home.
Got it. And I remember you're picking up the new prescription. Should I note that too?
Someone to talk to
Feeling overwhelmed? Not sure about a decision? Your AI listens without judgment and remembers what you've shared.
I've been really stressed about the move this week.
That makes sense. You've mentioned the timeline feeling tight. Is it logistics, the change itself, or something else weighing on you?
Tech help, no jargon
Ask anything in plain language and get a plain answer. No assumptions, no shortcuts.
How do I attach a photo when I send an email?
In Gmail, open a new email and look for the paperclip icon at the bottom of the window. Click that, then choose the photo. That's it.
Flame: your AI, fully alive.
For people who want an AI that knows them deeply. Extended memory, deeper thinking, real personalization.
Powered by Antaris Analytics: advanced memory layer
<0.01ms
Search latency
at 5,000 stored memories
166K/s
Memory ingest
entries processed per second
100d
Memory lifespan
at 50 memories per day
20K/s
Safety checks
prompt injection guard rate
Everything in Spark, plus
5,000 persistent memories
Your AI stores up to 5,000 memories across sessions - facts, preferences, people, projects. At 50 memories per day, that's over 100 days of continuous context without losing a thread.
5K / 100 days
Semantic search at <0.01ms
Ask the same question a different way and your AI finds the right answer. Offline semantic models match by meaning, not just words - lightning-fast at any store size.
<0.01ms
Context budget management
Smart compression keeps long sessions coherent. The most relevant memories are always in the active window - nothing important gets silently dropped mid-conversation.
200K window
Paraphrase deduplication
When you revisit a topic using different words, the system recognizes the overlap. Prevents memory noise, keeps the store clean, and grounds answers in what you've actually established.
Auto
Prompt injection guard - 20,982 checks/sec
Real-time safety layer screens every prompt at over 20,000 checks per second. Adversarial inputs, jailbreak attempts, and injection patterns are blocked before they reach the model.
20,982/s
Local memory processing
All indexing, retrieval, and guard runs on your device. AI responses use a secure managed endpoint. Anonymized word-pair stats may be collected to improve recall quality (opt-in; no conversation content).
Local
Writing in your voice
Forge learns your tone from previous conversations. Emails, letters, texts - they sound like you wrote them, because you did.
Write a follow-up to the investor I met last Thursday. Keep it warm but professional.
Got it. I'll use your usual tone. Want me to reference the product roadmap you mentioned, or keep this one brief?
Working through big decisions
Forge knows your situation and history. It doesn't just give answers, it helps you think clearly.
Should I take the job offer in Denver?
You've mentioned being near your grandkids matters a lot right now. Denver is 4 hours away. Let's think through what you'd be gaining and giving up...
Memory that deepens over time
Every conversation adds to what Forge knows about you. Your people, preferences, and ongoing threads.
How did my conversation with Michael go last week?
You said it went better than expected. He was open to the revised timeline, and you mentioned wanting to follow up with a proposal by Friday.
Research without the rabbit hole
Ask about something complex and get a clear, grounded answer. No jargon, no 47 browser tabs.
What should I look for when choosing a financial advisor?
The most important thing is whether they're a fiduciary. That means they're legally required to act in your interest, not earn a commission. Here's what to ask them...
Forge Flagship: from idea to done.
For builders, creators, and anyone working on complex multi-day projects. Holds the full context. Never loses the thread.
Powered by Antaris Analytics: full pro suite
1M
Token context window
active per session
190K/s
Peak memory ingest
fastest tier throughput
500d
Memory lifespan
at 50 memories per day
25K
Memory capacity
persistent entries stored
Everything in Flame, plus
25,000 memories - 500-day lifespan
Store 25,000 persistent memories. At 50 entries per day, that's over 500 days of continuous context - more than a year of working history before anything ages out.
25K / 500 days
1M-token active context window
Full 1,000,000-token context per session. Enough for complete codebases, long document analysis, or multi-day research threads - no truncation, no silent pruning.
1M tokens
Cross-session memory fusion
Episodic memory vectors fused across all past sessions. Every conversation you've had is queryable - your AI can surface context from months ago without you having to ask for it.
All sessions
3-strategy adaptive retrieval
Each query automatically routes between keyword (BM25), semantic (cosine), and co-occurrence (PPMI) retrieval - whichever gives the best recall for that specific question, in real time.
3 strategies
Entity and relationship graph - Q2 2026
A persistent knowledge graph built from your conversations. People, projects, and concepts become connected nodes. Your AI navigates relationships, not just isolated memories.
Q2 2026
Dedicated model throughput
Forge Flagship runs on a dedicated allocation - no shared rate limits with other users. Guaranteed response speed even under load. Founding tier pricing locked at $99.99/mo.
Dedicated
Pick up where you left off
No re-explaining. No catching up. Forge remembers every session, every decision, every blocker.
Continue the app we were building yesterday.
We finished the login screen and ran into a CORS issue on the callback. I had a fix ready. Want to apply it now and move to the dashboard?
Idea to execution, together
Bring a rough idea. Forge helps you think it through, plan it, and execute over days or weeks.
I want to launch a newsletter. Help me plan the first 30 days.
Let's build this properly. What's your audience and what problem do you solve for them? That shapes the name, format, frequency...
Complex work, no hand-holding
Multi-step tasks, data analysis, long documents. Forge handles the whole thing without losing focus.
Analyze these sales numbers and write a summary I can share with the team.
Q1 was down 12% vs last year, but March recovered strongly at +8%. Here's a summary you can copy directly...
Nothing gets lost
Every open thread, every commitment, every half-finished idea. Forge holds it all with the most advanced memory available.
What are all the open things from our last three sessions?
Three things open: the proposal for Nora (due Friday), the API pricing decision, and you mentioned researching the Medicare changes.