DoAide
Live Agent memory

DoAide Cortex

Knowledge and memory for AI agents.

DoAide Cortex is a knowledge and memory platform for AI agents. It provides persistent memory across sessions, structured knowledge graph storage, semantic search and retrieval, and multi-agent context sharing — so agents remember what they have learned and share what they know.

Specification
CategoryAI agent infrastructure
Built forAI developers and agent builders
StorageKnowledge graph · vector · structured
PrincipleAgents that remember and share context

Interface

Inside DoAide Cortex.

Screenshots pending · representative layout

cortex.doaide.com
Knowledge graph — entities, relationships and context
cortex.doaide.com
Semantic search
cortex.doaide.com
Agent session trace

Capabilities

What it does.

Persistent memory

Agents retain context across sessions and conversations, building on what they have already learned.

Knowledge graph

Structured storage of entities, relationships and facts in a graph that agents can traverse.

Semantic search

Find relevant context by meaning, not just keywords — the right memory surfaces at the right time.

Multi-agent sharing

Agents in the same workspace share context automatically, without re-learning what another agent already knows.

Session replay

Trace what an agent knew and when it learned it — audit the knowledge, not just the output.

API-first design

Simple REST API that works with any agent framework. No vendor lock-in.

Workflow

How it works.

Step 01

Connect your agents

API key and SDK — works with any agent framework.

Step 02

Agents store knowledge

Facts, decisions and context saved as they work.

Step 03

Agents retrieve context

Semantic search finds relevant memories when needed.

Step 04

Teams share knowledge

Agents in the same workspace build on each other's learning.

Detail

What’s inside.

Entity extraction — people, companies, concepts and their attributes parsed from text
Relationship mapping — connections between entities maintained as the graph grows
Temporal context — when something was learned and whether it has been superseded
Namespace isolation — workspaces and projects keep their knowledge separate
Embedding storage — vector representations for fast semantic similarity
Webhook notifications — external systems notified when relevant knowledge changes

Agent memory

Try DoAide Cortex now.

DoAide Cortex is live in production at cortex.doaide.com. Open it and judge it on the work it does.