DEVELOPER CONTINUITY INFRASTRUCTURE
Resume real engineering work without re-explaining context
MemoryOS captures project state, decisions, bugs, and preferences as structured memory, then retrieves and explains the right context for the next session, agent, or handoff.
Start a personal continuity workspace ↗Top-3 retrieval precision
100%
Resume success rate
100%
Contradiction miss rate
0%
"We implemented a 5s timeout on db locks to prevent deadlocks during high-load connection spikes."
MEMORYOS CONTEXT STACK
Five layers that turn conversation into durable developer context.
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
Production memory lifecycle, end to end
MemoryOS implements extraction, contract scoring, merge/evolve logic, retrieval reranking, revision history, and explainable injection in one continuity flow.
Live Brain Map
Benchmarked continuity outcomes
Forget generic storage. MemoryOS is measured entirely on retrieve precision, resume fidelity, and automated conflict resolution.
Your agents are smart.
Their memory should be too.
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.
Persistent context for coding agents
Preferences, project state, bug history, and prior decisions stay available across sessions.
List unresolved bugs and continue last decision thread
Retrieve prior architecture decisions to avoid drift
Inject latest bug fix context automatically
Shared workspace intelligence
MemoryOS stores project-level memory so teams and agents can resume work with the same context model.
Resume current sprint from continuity contract
Load MemoryOS retrieval + trust diagnostics
Generate plan from prior decisions and open risks
runtime: sdk / mcp / http
mode: contract-first continuity
trust: timeline + revisions + explain
Every memory is inspectable
Explain, timeline, and revisions turn memory recall into something developers can verify and debug.
Inspect timeline of all memory events
Trace revisions to previous execution contexts
Full explainability for diagnostic debugging
Control plane, APIs, and policies
Search, archive, review, and govern memory through the MemoryOS control plane and unified API surface.
Write memory: /process + status + archive
Recover context: /retrieve + /continue + /resume
Inspect trust: /timeline + /revisions + /explain
One company brain layer.
Across every workflow.
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
Capture developer context from anywhere
Capture execution context from code findings, decisions, debugging notes, docs, links, and task history across daily tools.
Code findings and logic decisions
Debugging notes and stack traces
Docs, links, and task history
Turn scattered work into connected memory
MemoryOS links related context across sessions so retrieval, revisions, and continuity planning operate from one connected memory graph.
Unified graph of all developer activity
Seamless retrieval across multiple sessions
Continuity planning grounded in truth
Ask MemoryOS across everything you have stored
Query company memory directly and get answers grounded in prior work, documents, conversations, constraints, and technical decisions.
Summarize notes
Connect retrieval + trust
Themes across workspace
Separate memory by workspace and project
Scope memory by products, repos, teams, research tracks, or debugging streams so context stays clean, governed, and reusable.
Frontend
Backend
Research & Debugging Streams
Shared
team memory
Multi-tool
integrations
Fast
context recall
Production memory infrastructure for serious teams
MemoryOS is built for platform teams and agent products that need durable shared context, interoperability, and governance without slowing engineering velocity.
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.
Deploy in your stack
Run MemoryOS behind cloud agents, local model runners, agent frameworks, and internal tools with workspace-level control over memory scope and retention.
Audit every memory decision
Timeline, revisions, and memory explainability give teams a clear record of what changed, why it changed, and what was surfaced to agents.
Own your company brain
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.
Pricing for production continuity infrastructure
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.
STARTER
For developers validating memory contracts and continuity loops in personal workflows.
PRO
For active builders running MemoryOS in daily multi-agent and model workflows.
SCALE
For teams running shared company memory across products, internal agents, and workspaces.
ENTERPRISE
Custom
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.
Pricing can be tuned around seats, workspace count, deployment model, and memory volume. The right structure depends on how your agents and engineering teams actually use MemoryOS.
Startup program
Early product teams can get guided setup, feedback calls, and launch support.