COMPANY BRAIN INFRASTRUCTURE
MemoryOS ingests context from real company systems, structures it into decisions, policies, and workflows, and injects the right memory for safe execution across sessions, tools, and agents.
See the company brain thesis ↗"We implemented a 5s timeout on db locks to prevent deadlocks during high-load connection spikes."
COMPANY BRAIN THESIS
MemoryOS turns scattered company knowledge into a living, executable skills layer for agents. We ingest context from real systems, structure it as decisions and policies, and make it safe to execute with governance.
What MemoryOS Is
What It Is Not
MEMORYOS CONTEXT STACK
MemoryOS does more than store notes. It builds a developer profile, retrieves the right context for the next task, evolves memory when new evidence arrives, and keeps every change inspectable.
Turns conversations into structured memory candidates with extraction and contract scoring.
Processes raw developer messages into candidate memories with extraction and importance scoring.
message -> extract -> score -> candidate memory
MemoryOS implements extraction, contract scoring, merge/evolve logic, retrieval reranking, revision history, and explainable injection in one continuity flow.
Forget generic storage. MemoryOS is measured entirely on retrieve precision, resume fidelity, and automated conflict resolution.
Continuity infrastructure for real coding sessions. MemoryOS is designed for developer workflows where preference, project state, bug history, and prior decisions need to survive across threads, tools, and model sessions.
Preferences, project state, bug history, and prior decisions stay available across sessions.
MemoryOS stores project-level memory so teams and agents can resume work with the same context model.
Explain, timeline, and revisions turn memory recall into something developers can verify and debug.
Search, archive, review, and govern memory through the MemoryOS control plane and unified API surface.
MemoryOS keeps goals, constraints, decisions, risks, and execution context available across cloud models, local agents, control planes, and shared workspaces.
Summarize the key ideas from my notes
Which memories connect retrieval and trust?
What are the main themes across this workspace?
Capture developer context from anywhere
Scope memory by products and repos
Turn scattered work into connected memory
AVAILABLE ACROSS
Click each surface to inspect deeper capacity, retrieval performance, and workspace governance at production scale.
01 / CONTEXT CAPTURE
Capture execution context from code findings, decisions, debugging notes, docs, links, and task history across daily tools.
Events / month
12.4M
Ingest latency
84ms
Sources online
18
Shared
team memory
Multi-tool
integrations
Fast
context recall
MemoryOS is built for platform teams and agent products that need durable shared context, interoperability, and governance without slowing engineering velocity. This is an execution layer for agents, not a document chatbot or static search index.
DESIGN PARTNERS AND TEAM WALL
When customer teams go live, this wall can switch from placeholders to real deployment marks, design partners, or platform groups.
Run MemoryOS behind cloud agents, local model runners, agent frameworks, and internal tools with workspace-level control over memory scope and retention.
Timeline, revisions, and memory explainability give teams a clear record of what changed, why it changed, and what was surfaced to agents.
Keep developer knowledge inside your product stack. Project memory stays searchable, exportable, and visible to the teams that rely on it.
ENTERPRISE ROLLOUT
Launch MemoryOS with your platform team
We help teams scope memory contracts, rollout sequence, governance policies, and first continuity benchmark baselines.
One platform for memory contracts, injected context visibility, interoperability, governance, and team workspaces. Start free, scale with usage, and move to enterprise deployment when needed.
Free: 1M tokens + 10K searches. Pro: 3M + 100K. Scale: 80M + 20M per month.
Usage
Tokens processed + retrieval/search calls per billing month.
Plan tier
Capability unlocks: memory workflows, governance, connectors, and support level.
Team seats
Scale and Enterprise include team access. Seat-based expansion can be applied per workspace.
Add-ons
Extra token packs, search packs, premium connectors, and priority SLA.
FREE
For individuals getting started with MemoryOS.
1M tokens/month · 10K searches/month
Overage: Blocked until reset or upgrade.
PRO
For active builders running MemoryOS in daily multi-agent workflows.
3M tokens/month · 100K searches/month
Overage: Prompt to upgrade to Scale.
SCALE
For teams running shared company memory in production.
80M tokens/month · 20M searches/month
Overage: Contact support or move to Enterprise.
ENTERPRISE
For companies that need custom deployment, deeper governance, or a dedicated rollout path for internal AI products.
PLATFORM NOTES
Overage
Usage-based
Scales with storage, retrieval, and team load.
Support
Human
Direct onboarding help for production teams.
Limit reset: usage resets monthly on billing anniversary. If limit is reached, requests pause until reset or upgrade. On downgrade, new plan limits apply immediately.
Startup program
Early product teams can get guided setup, feedback calls, and launch support.
