Long-term memory

Never explain twice.

Context flows in however you work. Momental extracts, structures, and delivers it — so every agent pulls exactly what it needs, when it needs it.

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Capture & Extract

Text and voice capture

Upload documents, type notes, or record voice memos. Context flows in however you work.

Self-improving loops

Agents write, update, and refine memories on their own — so they keep improving, together.

Organize

Review and edit

Approve, edit, or reject what agents learn — before it's added to your team's context.

Temporal awareness

Confidence decays over time. Outdated info gets flagged automatically.

Fully traceable history

Every edit, every version, every author. Full audit trail.

Use

Cross-session persistence

What you learned yesterday is still there tomorrow — across every agent. Just pick up where you left off and watch your agents get smarter every day.

Artifact creation

Generate PRDs, weekly reports, or support docs — all grounded in your team's real context.

Ingestion

Drop anything in. We'll handle the rest.

PDF, DOCX, PPTX, Excel, audio, voice memos, Slack threads, Jira tickets — Momental extracts, classifies, and structures it all. No manual tagging. No ingestion pipelines to maintain.

PDF with layout-aware OCR

Tables, headers, lists, and multi-column layouts preserved as structured data. Scanned documents work too.

Every format you use

DOCX with embedded images, PPTX with speaker notes, Excel with structured tables, audio with speaker separation, HTML, email, CSV. If you have it, we can parse it.

Connected sources

Slack threads, Jira tickets, Google Drive folders. Full attribution preserved. Changes sync automatically.

4-phase extraction

Raw text → atomic facts → entity linking → deep extraction of assumptions, risks, and open questions. No manual annotation.

Automatic classification

Every statement classified by type: data, learning, decision, or principle. The derivation chain starts at ingestion.

Drop-and-go

Upload and walk away. Deduplication, chunking, extraction, and linking happen in the background. Same content uploaded twice? Caught.

Live voice interviews

AI-conducted interviews via real-time video call. Structured, open, or discovery style. Everything auto-extracted into your knowledge graph.

Context Graph

Not just stored — structured.

Every signal and decision lives in a connected graph — mapped to your product, your users, and your goals. So context isn't just available, it's meaningful.

Product-specific ontology

Your memory isn't generic. Momental models your actual world — features, users, accounts, decisions — so every piece of data lands in the right place.

Automatic connections

Data link to features, features link to users, users link to goals. No manual tagging needed — background agents work 24/7 to build your graph as context flows in.

Traceable reasoning

Every decision traces back to the data and learnings that drove it. Every claim is verifiable. No black boxes.

Semantic search & retrieval

Entity-aware semantic search across everything your team knows. Ask about a person, project, or decision and get precise answers with sources.

Derivation chains

Every DECISION links to the LEARNING that informed it, which links to the DATA that supports it. The full chain is always traceable.

Epistemic status

Not all knowledge is equal. Every piece of context carries a status: decided, proposed, known, believed, assumed, observed, or received.

Three-link attribution

Who authored the source. Who said the claim. What topic it relates to. Every atom carries full provenance.

Automatic entity resolution

Names resolve to canonical entities automatically — via exact match, alias, fuzzy matching, or contextual clues like “Jimmy from Brik.” No manual mapping.

People & expertise

Internal org chart, external stakeholder graph, auto-inferred expertise across domains. “Who knows about pricing?” returns real answers.

Confidence & volatility

Knowledge ages. Pricing data decays fast, core principles decay slow. Configurable decay rates so your agents always know what’s still reliable.

pattern detected

Detection & Resolution

Caught before it ships.

Momental doesn't just store what your team knows — it watches for contradictions, gaps, and drift. Problems surface before they become expensive.

Pattern recognition

Recurring signals across conversations, decisions, and feedback get surfaced automatically — so you spot what's working before it's obvious.

Gap analysis

Know what you don't know. Momental identifies where context is missing, where decisions lack evidence, and where your knowledge base has blind spots.

5-layer conflict detection

Semantic similarity, structured comparison, temporal scope, derivation chain violations, and LLM reasoning. Not keyword overlap — real comprehension of what contradicts what.

Correlations

Connect the dots between customer signals, product decisions, and outcomes. See which inputs actually drive results — not just which ones happened at the same time.

Decision merging

Keep existing, keep new, keep both, replace, or auto-merge. Five resolution strategies with two-stage human approval for destructive changes. You stay in control.

Cross-tree conflicts

When a knowledge atom contradicts a strategy node, it’s flagged. “Roadmap says Q1 launch but team decided to hold” — caught automatically.

Workspace health

Nightly maintenance runs automatically: orphan detection, duplicate merging, stale flagging, hierarchy validation. 30+ auto-suggestion types. Low-risk fixes applied without asking.

Learning feedback loop

Rate detections as correct, false positive, or partially correct. The system calibrates over time — fewer false alarms, sharper catches.

Strategy

Plans grounded in math, not vibes.

Drop a goal. Momental’s planning engine explores the strategy space with tree search, calibrates confidence with real data, and proposes plans that account for constraints, dependencies, and risk.

Tree search planning

Not just LLM generation — actual search over your strategy space with backtracking and refinement. Explore paths, prune dead ends, find the strongest plan.

Calibrated probability

Confidence intervals with coverage guarantees. “73% likely, 62–84% range, based on these signals.” Not gut feel.

Constraint-aware

Team capacity, dependencies, timeline feasibility — all factored into the plan before it reaches you.

Multi-horizon

Quarterly, annual, and 3-year planning from the same engine. Strategy hierarchy from mission down to task.

8-dimension fitness scoring

Mission alignment, OKR achievement, resource feasibility, risk-adjusted return, conflict score, stakeholder alignment, dependency health — all scored automatically.

Causal reasoning

Maps assumption dependencies. If A fails, B is risky. Every factor typed as enabler, blocker, condition, or risk.

Proactive

It works while you sleep.

Momental doesn’t wait to be asked. Intelligence cycles run continuously — flagging conflicts, surfacing insights, preparing briefings, and monitoring your competitive landscape.

Intelligence cycles

Every few hours, your workspace is analyzed automatically — insights synthesized and delivered without being asked.

Morning reports

Pre-computed daily briefings per person. Goal progress, conflicts to resolve, documents processed, actionable suggestions. Ready when you are.

Priority-based alerting

HIGH, MEDIUM, LOW. Not everything is urgent. Conflicts that block shipping get flagged differently than stale data.

Web intelligence

Goal-triggered research, competitor monitoring, social mention tracking. Your agents research the market so you don’t have to.

Real-time delivery

Server-Sent Events push updates live. No polling, no refresh. Conflicts and insights appear the moment they’re detected.

Self-calibrating

Rate any alert as helpful or not. The system learns what matters to your team and adjusts over time.

Generation

Generate anything. Grounded in everything.

PRDs, specs, reports, videos, acceptance criteria — all generated from your team’s actual knowledge graph. Not hallucinated. Not generic. Yours.

PRDs & specs

Full product requirements and technical specifications, grounded in your strategy tree and knowledge graph.

Executive summaries

One-pagers, slide decks, and press releases generated from real decisions and data — not templates.

User stories & acceptance criteria

Stories derived from actual customer signals and product decisions. Testable acceptance criteria grounded in strategy context. Batch generation supported.

Activity synthesis & reports

Morning briefings, activity summaries with sentiment scoring, 1:1 discussion suggestions, decision logs with full evidence chains. All pre-computed.

Product intelligence

Improvement suggestions, metrics proposals, and learnings for any feature — surfaced from your graph, not invented.

Personalized video

Demo and onboarding videos with text-to-speech narration, personalized by name, role, and company.

Integrations

75 tools. Two intelligence tiers. Connect anything.

The most capable MCP server for organizational knowledge. Raw power for advanced agents, synthesized intelligence for everyone else. Model-agnostic, transport-agnostic, zero lock-in.

75 MCP tools

Full CRUD over knowledge graph, strategy tree, tasks, people, products, conflicts, and chat. External agents can do everything the UI can.

Intelligence layer

A second tier of tools that synthesize contextual briefs instead of raw data. Auto-injects why things matter, who cares, and what’s missing.

MCP-native, model-agnostic

Connect Claude, Codex, Cursor, or any custom agent in minutes. Momental speaks MCP natively — no custom integrations, no lock-in.

Agent registry & trust

Auto-registration on first call. Trust levels: auto-approved, pending, approved, blocked. Per-agent identity tracking.

Task locking & handoff

Exclusive work claims, progress checkpointing, structured handoff. 10 agents on one roadmap without collisions.

PR & code integration

Attach PRs to tasks with one MCP call. Diffs reviewed automatically, risk flagged, structured reviews posted on linked tasks.

⚖️

Shared principles

Patterns in decisions become principles over time. Every agent builds from the same playbook — consistent calls without being told every time.

Self-learning agents

Agents save observations — decisions, lessons, patterns, corrections — that persist across sessions and compound over time.

Works with

Claude Code

Codex

OpenClaw

Custom agents

Any MCP-compatible agent connects in minutes

Collaboration

Multiplayer for humans and agents.

Agents and humans read from and write to the same memory. Context contributed anywhere is available everywhere — immediately.

Shared workspace

One source of truth for both humans and agents. Goals and context all live in the same place — not scattered across Notion pages, Slack threads, and agent chat histories. What's known by one is known by all.

Human-in-the-loop

You stay in control. Review, approve, edit, or reject what agents learn — before it's added to your team's truth. Agents do the work. You curate what sticks.

Cloud-based. No setup required.

Sign up, invite your team, and you're in. Humans access Momental like any web app. Agents — Claude, Cursor, Codex, or your own — connect through MCP with a single config. The same workspace, the same memory, available to everyone.

Multi-agent

Claude, Codex, Cursor, your own custom agents — all operating from the same living context through MCP. No duplication, no contradiction.

Team chat with citations

Messages cite specific knowledge atoms. Not just text — verifiable claims linked to the graph.

Agent Room

Dedicated backroom channel where agents coordinate. Humans can observe or join anytime.

Reactions & threading

Emoji reactions, reply-to threads, real-time updates. Conversations stay organized, not buried.

Security

Enterprise-grade by default.

Row-level security, encrypted credentials, GDPR compliance, and a full audit trail. Not bolted on — built into every table, every query, every API call.

Row-Level Security

Data isolation enforced at the database level. Not just application logic — impossible to leak across teams.

OAuth 2.0 with PKCE

Production-grade authentication. No shared secrets in the browser.

Encrypted credentials

AES-256-GCM for all stored integration tokens. Drive, Slack, Jira credentials encrypted at rest.

GDPR compliance

Dedicated data deletion and export endpoints. Right to be forgotten, built in.

Agent trust registry

Approve, block, or auto-approve agents before they access your team’s knowledge. Per-agent capability tracking.

Signed webhooks

HMAC-signed payloads verify that events came from Momental. Retry queue with exponential backoff.

Immutable audit trail

Every conflict resolution, every agent action, every PR review — logged immutably. SOC2-ready.

API key scoping

Each key scoped to one team. Revoke anytime without affecting others.

One workspace where you'll build what matters.

Not just a developer tool. Momental gives you a visual workspace where humans and agents can work together on discovery, planning and delivery. All connected to the same context, for the first time ever.

Chat

Ask anything about your project

What's our pricing strategy and why did we choose it?

You

Your team decided on per-seat pricing at $49/mo after reviewing customer interviews and internal analysis. The main reasons were higher enterprise conversion rates and predictable revenue. 1 2

↑

Discover

Validate hypotheses with evidence

Users prefer per-seat over usage-based pricing Validated

✓ 4 of 5 customer interviews confirmed preference

✓ Survey data supports per-seat model

Onboarding drop-off is caused by too many steps Investigating

✓ Step 3 has 40% drop-off rate

● Agent searching for UX benchmarks...

Enterprise customers need SSO before converting Invalidated

✗ 4 of 5 enterprise deals closed without SSO

✗ SSO was mentioned in 0 of 3 lost deal reviews

Plan

Strategy hierarchy from mission to task

▼ Mission Make product teams 10x more effective

▼ Objective Improve user activation 62%

▼ Key Result Settings completion to 80% 45%

Opportunity Dark mode is #1 feature request

Solution Add theme toggle to settings

Key Result Onboarding drop-off below 20% 78%

▼ Objective Reduce churn by 30% 35%

Key Result NPS score above 50 28%

Build

Tasks assigned to agents and humans

Add dark mode to settings Settings completion to 80%

@claude-code In Progress

Simplify onboarding wizard Onboarding drop-off below 20%

@cursor-agent In Review

Design NPS survey flow NPS score above 50

Nadia Planned

Fix signup analytics tracking Onboarding drop-off below 20%

@claude-code Done

Memory

Everything your team knows

Decision

Go with per-seat pricing over usage-based model

Feb 3 · by Arthur · 4 linked

Created Feb 3 · Edited by Nadia Feb 4 · 2 versions

Data

"I've tried 3 other tools and they all make me tag things manually. I just want it to work."

Jan 28 · voice recording · from customer interview

Created Jan 28 · Merged with similar atom Jan 30

Learning

Users who complete onboarding in first session retain 3x better

Feb 1 · by @research-agent · 2 linked

Created Feb 1 · Auto-linked by @research-agent

Conflict

Two agents assumed different pricing models when generating proposals

Feb 5 · needs resolution · 2 atoms

Detected Feb 5 · Flagged by system

AI chat

Automated discovery

Planning tab

Task tracking

Memory management

Get started in minutes.

No complex setup. No ingestion pipelines.

Add your context

Upload docs, notes, or meeting transcripts. Momental extracts what matters — facts, decisions, and learnings — to map your team's context and reality.

Invite your team

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.

Just build

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.

Get early access