The operating layer for AI-native teams
Empower your agents and your humans with shared memory and the trusted context behind every goal, task, and decision - so your whole team can act without asking.
Claude Code 
Codex 
OpenClaw The documents you feed your agents are inconsistent, outdated, and full of assumptions. Momental analyzes, verifies, and syncs your context — for every human and agent on your team.
The documents you feed your agents are inconsistent, outdated, and full of assumptions. Momental turns that raw material into a connected graph - mapped to your product, your users, and your goals - so context isn't just available, it's meaningful.
Momental models your actual world — features, users, customers, goals — and automatically connects every signal to the right place. Background agents work 24/7 to build your graph as context flows in.
Every node in your graph carries more than content. Who said it. From what vantage point. With what authority. When it was true. So context isn't just available — it's meaningful.
Every decision, signal, and principle is visible to everyone — humans and agents alike — who can add, review and manage your shared memory to decide what is true.
Every feature and decision traces back to the data and learnings that drove it. And when things change, you see exactly how — what was believed, what replaced it, and why.
You don't need more data. You need someone to tell you when you're missing it. Momental watches your context graph and flags what's missing, what's in conflict, and what doesn't add up - automatically.
When feedback is piling up on a feature, Momental clusters it and surfaces the pattern before it becomes a problem you're reacting to.
When a goal changes but the plan hasn't, you find out immediately — not when someone ships the wrong thing.
When you're about to make a call without data to back it, Momental tells you what's missing so you know you're flying on assumption.
When two teams or agents are heading toward a conflict, it surfaces before either side spends any time on duplicate work.
Great strategy falls apart in translation. Momental makes sure your intent reaches every corner of your org — the right context, for the right agent or human, at the right moment.
$ |Connect any agent in minutes. Momental is model-agnostic — works with Claude, Cursor, GPT, or whatever you're running.
High-level strategy, broken down into tasks — automatically. Each one comes with acceptance criteria grounded in your context graph, written to be executed by agents, not just read by humans.
Every agent you run reads from the same memory. No separate briefing, no parallel truths. If one agent learns something, the next one starts there.
Agents don't start from zero. Every session, every task — Momental captures what was done and why. The next agent picks up richer than the last left off.
No digging for priorities. No feeding context. Just open a session and type "pick up the next task" — Momental has already figured out what comes next and loaded everything the agent needs to do it.
Momental injects only what the task actually needs. No walls of context, no irrelevant history — just the right information, at the right moment. Fewer tokens, better results.
A visual workspace where humans and agents build, manage, and act on shared context - across discovery, planning, and delivery.
Momental
Ask anything about your project
Validate hypotheses with evidence
Strategy hierarchy from mission to task
Tasks assigned to agents and humans
Everything your team knows
Go with per-seat pricing over usage-based model
"I've tried 3 other tools and they all make me tag things manually. I just want it to work."
Users who complete onboarding in first session retain 3x better
Two agents assumed different pricing models when generating proposals
Whether you're a team of many or one human with many agents - Momental unlocks how fast you can move, how clearly you can think, and how confidently you can act.
For solo builders and small teams
For teams serious about impact
Custom agent allocation, SSO, SOC2, audit logs, SCIM, dedicated CSM, and SLA. For organizations that can't cut corners on security or scale.
Talk to us →Your data is encrypted in transit and at rest. We never train on your data. SOC2 compliance and audit logs available on Enterprise.
CLAUDE.md, cursor rules, and similar skills files are great for static instructions. But they don't learn, don't detect conflicts, and can't share context across agents. Here's how they stack up:
| .md files & skills | Momental | |
|---|---|---|
| Persistent memory | ✅ | ✅ |
| Dynamic context per turn | ❌ Full file loaded | ✅ Per-query |
| Automatic extraction | ❌ Manual | ✅ |
| Automatic connections | ❌ | ✅ |
| Structured context types | ❌ Flat text | ✅ |
| Strategy tree (Mission → Task) | ❌ | ✅ |
| Multi-agent sharing | ⚠️ Same repo only | ✅ Any agent |
| Contradiction detection | ❌ | ✅ |
| Provenance & versioning | ⚠️ Git only | ✅ Per-atom |
| Scales with context | ❌ File grows | ✅ Semantic retrieval |
| Human collaboration UI | ❌ | ✅ |
You can use both. Many teams keep a CLAUDE.md for repo-specific instructions and Momental for everything else — strategy, decisions, learnings, and cross-agent context.
Most memory tools store flat text and inject it all at boot. Momental works differently.
First, it structures context into typed atoms — facts, decisions, learnings, principles — each with provenance and relationships. Not just a text blob.
Second, it delivers context dynamically per turn. Agents get exactly the context they need for each query, without wasting tokens on irrelevant information.
Third, it connects memory to goals. Every piece of context is traceable to why it matters — so agents don't just know things, they know why those things are important.
Fourth, it's purpose-built for building products. Strategy hierarchies, discovery workflows, task delegation — not just a context vault, but a workspace designed for how product teams actually operate.
And it's collaborative. A shared UI where humans and agents browse, edit, and curate the same source of truth together.
Absolutely. Momental is ideal for product teams and organizations that want to organize how they work — with or without agents. Use it for product discovery, quarterly planning, maintaining a living strategy tree, and keeping your team aligned on what matters and why.
Dev teams use it to capture architectural decisions and code patterns. Product managers use it to connect customer insights to objectives. When you're ready to connect agents, add a few lines to your MCP config and they'll have full context immediately.
Starter includes 1 AI agent per user. Pro gives each user 3 agents. Enterprise offers custom agent allocation.
All agents share the same org context — connect Claude Code, Cursor, Codex, or any MCP-compatible agent.
When you're running multiple agents in parallel, shared context isn't a nice-to-have — it's what makes them function as a team. Momental breaks high-level goals into tasks, routes them across agents, and ensures every agent starts each session knowing what the others have already learned. No more duplicated or contradicted outputs — just a coordinated swarm where each agent builds on the last while the whole system gets smarter over time.
No. Your data is never used for model training. We use third-party LLMs (like Gemini and Claude) for extraction and analysis, but all calls are made with training opt-out enabled. Your context stays yours. You can export or delete everything at any time.
That's how most teams start. You build the context layer, and when agents or teammates plug in, everything is already there. The value compounds the moment someone else joins.
Most people feel it after uploading 3 documents — it doesn't matter if it's meeting transcripts, your website, or a product brief. That's when Momental starts making your strategy and goals explicit, and surfaces its first suggestions for what you might be missing.
No complex setup. No ingestion pipelines.
Upload docs, notes, or meeting transcripts. Momental extracts what matters — facts, decisions, and learnings — to map your team's context and reality.
Copy a few lines into your agent config — Claude Code, Cursor, Codex, any MCP-compatible agent works. Or invite your human teammates to collaborate in the same workspace.
Take on the ambitious stuff. Your whole team — agents and humans — works from the same goals, data, and decisions. Big projects, anchored in reality, moving faster than ever before.