Memory is
All You Need
OctaMem is the persistent memory layer for AI systems. Semantic, episodic, and procedural memory that carries across sessions, models, tools, and workflows.
No credit card required. Free tier available.
Octamem Memory
Persistent Intelligence Layer
LLM
Any model
The Problem
AI systems have no memory.
Every session starts from zero. Every agent starts blind. These are the failures that compound in production.
Users repeat themselves every session
Your customer explained their setup last week. And the week before. The agent has no idea. Every session is a blank slate.
Agents forget decisions they already made
An agent approved a workflow on Monday. By Wednesday it suggests the opposite. Without memory, there is no consistency.
Context windows overflow silently
Critical details get pushed out as conversations grow. The model stops seeing what matters. Errors compound.
Multi-agent systems can't share what they know
Agent A learns something useful. Agent B has no access to it. Deploy five agents and you get five isolated silos.
Every workaround is a hack
Prompt stuffing. JSON blobs in Redis. Vector search over raw transcripts. These break at scale and nobody trusts them in production.
Architecture
Memory as infrastructure.
OctaMem sits between your agents and the models they call. Not a plugin. Not an add-on. A persistent intelligence layer that enriches every request before it reaches the LLM.
Agent
Your system
Input
Memory
Octamem
Intelligence
LLM
Any model
Execution
01
Connect via API or MCP
Your agent or app sends context to the memory layer on every call.
02
Memory enriches every request
Relevant history, constraints, and learned behaviour are injected automatically before the LLM executes.
03
LLMs execute with full context
Any model sees what matters — not what happened to survive a context window.
Memory Architecture
Three kinds of memory. One system.
Not chat history. Not vector search. Structured memory that preserves truth, events, and behaviour.
What's true
Semantic Memory
Facts, preferences, constraints, identity. The stable knowledge that defines a user or system.
Your agent knows the client is a vegetarian, prefers dark mode, and works in healthcare compliance.
What happened
Episodic Memory
Events, decisions, outcomes, interactions. The timeline of what occurred and why.
Your agent remembers the client rejected proposal v2 on Tuesday and the reasons they gave.
How to behave
Procedural Memory
Workflows, rules, learned patterns, guardrails. The operational discipline an agent carries forward.
Your agent follows the approved escalation path without being told again.
Compounding Intelligence
Intelligence that compounds.
Every session without memory is a reset. Every session with memory is an upgrade.
Day 1
Basic recognition
Agent knows your name, preferences, and initial constraints. Conversations feel slightly personalized.
Day 30
Pattern awareness
Agent remembers your decisions, avoids past mistakes, follows your workflow patterns. Fewer repeated questions.
Day 180
Operational depth
Agent operates with deep institutional context. Fewer errors. Faster decisions. Real continuity across every interaction.
Before and After
Stop hacking memory.
You know these workarounds. You built them. They break at scale and nobody trusts them in production.
Products
One memory layer. Two paths.
General Memory Cloud
Sector-agnostic persistent memory for any agent workflow. Model-agnostic. Protocol-native.
- Cross-model memory under one account
- High-recall retrieval and context rebuild
- API and MCP-compatible access
- Semantic, episodic, and procedural memory types
- Deletion controls
Specialized Memory Clouds
Finance Cloud LiveDomain-aware memory structures, sector-specific behavioural models, and compliance-aligned memory policies.
- Everything in General Memory Cloud
- Domain-specific memory schemas and retrieval
- Sector-aware behavioural continuity
- Policy-bound enforcement and guardrails
- Vertical-optimized context rebuild
- Priority support and deployment options
Healthcare, Legal, and Defense memory clouds in development.
Explore Finance CloudUse Cases
Built for real systems.
Enterprise Verticals
Healthcare
Patient continuity across visits. Treatment history that persists across care teams and sessions.
Legal
Case memory and precedent tracking. Client interaction continuity across matters.
Finance
Portfolio context, trade history, and risk awareness that compounds across agent sessions.
Insurance
Claims history and policy context. Adjuster memory that carries across every touchpoint.
Defense
Mission context that persists across briefings, operations, and multi-agent coordination.
Technology
Product context, customer success history, and engineering knowledge that carries across teams and releases.
Retail & logistics
Inventory, fulfillment, and partner memory across channels, warehouses, and agent-assisted operations.
And more...
Energy, media, public sector, and other high-stakes domains — we’ll shape memory around your workflows.
Builder Workflows
REST API
Direct HTTP endpoints. Full control without MCP or an SDK.
MCP Server
Remote MCP — use OctaMem from any MCP-compatible assistant or agent.
Claude Desktop
Connectors in Settings, or config file with Node on Mac and Windows.
Cursor
Tools & MCP in Cursor Settings, or mcp.json — Mac, Windows, and Linux.
Claude.ai
Custom MCP connector URL in the web app.
OpenClaw
Plugin with auto-recall and capture for open agent stacks.
Python SDK
pip install octamem — typed client for scripts and services.
JavaScript SDK
npm package for Node and browser workflows.
Enterprise
Built for high-context, high-stakes environments.
When memory integrity matters, when decisions need traceability, and when continuity is not optional.
Policy-aware memory
Agents respect organizational rules, constraints, and boundaries embedded in the memory layer.
Audit-ready continuity
Every memory decision is traceable. Full lineage from write to retrieval.
Role-based memory access
Teams control who sees what. Memory isolation between departments, projects, and roles.
Deployment flexibility
Cloud, private cloud, or on-premise pathways. Your infrastructure, your rules.
Built for the stack you're already using.
MCPModel-agnostic memory infrastructure. Use a remote MCP server, direct REST endpoints, or Python and JavaScript SDKs — from the agents and tools you already run.
from octamem import OctaMem
client = OctaMem(api_key="your-api-key-here")
# Search memories (previous_context scopes the query to a conversation or topic)
results = client.get(query="What did we decide about the launch date?", previous_context="Q1 product planning meeting")
print(results)
# Add a memory (previous_context links this to a conversation or topic)
client.add(content="Launch date set for April 15. Beta opens March 20.", previous_context="Q1 product planning meeting")
# Get usage and limits
details = client.details()
print(details)Trust and Control
Your memory. Your control.
Memory is sensitive. See what is stored, keep it structured and traceable, and delete it whenever you want.
Visible
See exactly what your agents remember. No black box.
Structured
Memory is typed, tagged, and traceable. Not a blob of embeddings.
Deletable
Remove any memory at any time. Forget on command.
Get Started
Stop resetting. Start remembering.
Persistent memory infrastructure for every agent, model, and workflow.