NeuralSnap crystallizes conversations, meetings, and documents into structured neural snapshots your AI agents can search by meaning. Not notes. Not summaries. Actual knowledge.
47
Snapshots
89%
Health
156
Searches
3
Brains
Written procedures with step-by-step instructions produce 10x better agent output than clever prompts. Tested across 6 agents over one week.
Three core views. All coded. All real.
Snapshot Card
Written procedures with step-by-step instructions produce 10x better agent output than clever prompts. Tested across 6 agents over one week.
Semantic Search
4 results · 23ms
SOPs Beat Prompts for AI Agents
ConvictionAgent Context Window Management
ModelAlways Document Before Automating
RuleShip Fast, Fix Forward
PrincipleBrain Graph
16 fields
per snapshot. Structured, not raw.
768
dimensions of semantic search.
<100ms
search response time.
5 types
Belief. Model. Rule. Conviction. Principle.
Capture. Crystallize. Recall.
Feed it anything.
Drop in a meeting transcript. Paste a conversation. Upload a document. Send raw text through the API. NeuralSnap accepts messy real-world input because that's what knowledge looks like before it's organized.
await neuralsnap.add({
content: "Full transcript from the
product strategy call...",
source: "fathom",
tags: ["strategy", "product", "q1"]
});Raw text becomes structured knowledge.
The pipeline reads your input and extracts what matters. Beliefs. Mental models. Rules. Convictions. Principles. Each one gets 16 structured fields: the core insight, supporting proof, origin context, confidence score, connections to related knowledge.
“...so basically what I found after testing this for a week with all six agents is that the ones where I wrote out actual SOPs with step-by-step instructions performed like 10x better than the ones where I just tried to write really clever prompts. Like Atlas went from completely unusable content to stuff we could actually publish. It's not even close. The SOP approach just wins every single time...”
Written procedures with step-by-step instructions produce 10x better agent output than clever prompts. Tested across 6 agents over one week.
Search by meaning. Not keywords.
Your agents ask a question in plain English. NeuralSnap finds the answer across your entire brain in milliseconds. “How should we handle pricing?” returns your actual conviction about pricing, not a paragraph that happens to contain the word.
4 results · 23ms
SOPs Beat Prompts for AI Agents
ConvictionAgent Context Window Management
ModelAlways Document Before Automating
RuleShip Fast, Fix Forward
PrincipleKnowledge, not notes.
Every snapshot is a 16-field crystal. Type. Core insight. Supporting proof. Origin context. Confidence score. Tags. Connections. This isn't a highlight from a transcript. It's a structured piece of how you think.
Ask questions. Get answers.
Type "what do I believe about scaling a team" and get back the exact snapshot, even if those words never appear in it. 768 dimensions of semantic understanding.
Drop in a transcript. Get back insights.
One Fathom call becomes 5 to 10 structured snapshots. Three phases: extraction pulls raw ideas, synthesis maps connections, crystallization structures them into searchable knowledge.
See how your knowledge connects.
Every snapshot links to related snapshots. The interactive brain graph reveals patterns you didn't know existed. Clusters of beliefs. Contradictions between old decisions and new ones.
Two calls. That's it.
Store a snapshot. Search your brain. Full REST API with authentication, rate limiting, and usage tracking. Everything you need to give your agents persistent memory in under 10 minutes.
Your Clawds remember everything.
Auto-capture insights from agent conversations. Auto-recall relevant context before each turn. Your OpenClaw agents stop forgetting what happened yesterday.
Store a snapshot. Search your brain. That's the entire API.
Store
"color:#A1A1AA">// Store a neural snapshot
const snapshot = await neuralsnap.add({
name: "SOPs Beat Prompts for AI Agents",
type: "conviction",
core: "Written procedures produce 10x
better agent output than prompts.",
proof: "Atlas content quality jumped from
unusable to publishable.",
tags: ["agents", "operations", "sops"],
confidence: 0.94
});Search
"color:#A1A1AA">// Search by meaning, not keywords
const results = await neuralsnap.search(
"how to make AI agents reliable"
);
"color:#A1A1AA">// Returns:
"color:#A1A1AA">// → "SOPs Beat Prompts" 0.94
"color:#A1A1AA">// → "Context Management" 0.87
"color:#A1A1AA">// → "Document First" 0.82
"color:#A1A1AA">// Your agent now knows what you believeGive your agents persistent memory.
Stop re-explaining context every session. One API call to store what matters. One API call to recall it. Your agents stop being goldfish and start accumulating real knowledge.
Never lose an idea again.
Turn Fathom calls, meeting notes, and brainstorms into searchable, structured insights. Six months from now, ask "what did we decide about pricing in March" and get the exact answer.
Shared brain. Shared context.
When one agent learns something, all agents know it. When you make a decision in a meeting, every team member and every AI agent has access to it. The brain is the memo.
Connect the tools you already use.
For trying it out.
All plans start with a free trial. No credit card required.
THE ORIGIN STORY
I ran a marketing agency with 82 employees. 7-figure revenue. When I shut it down and rebuilt my operations with 6 OpenClaw agents, I hit the same wall every builder hits.
My agents forgot everything.
Every morning, blank slate. Decisions we made yesterday, gone. Context from last week, gone. I'd spend the first 20 minutes of every session re-explaining things my agents already knew 24 hours ago.
I tried stuffing context into prompts. Hit token limits. Tried text files. Unsearchable mess. Tried RAG. Returned paragraphs instead of answers.
So I built what I actually needed. A system that doesn't just store information. It crystallizes it. The way a human brain takes a flood of input and pulls out the moments that matter.
I built NeuralSnap while moving to a new house with two small kids. My wife was on a hospital shift. I was managing the entire agent team from voice messages on my phone, covered in paint, carrying my 1-year-old with one hand.
NeuralSnap is what I built to fix my own problem. Now it's yours.