neurakeep
Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@neurakeepsearch my memory for why we chose Postgres over MySQL"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
NeuraKeep
NeuraKeep is a local-first memory system for AI agents.
It gives Claude Desktop, Claude Code, Codex, OpenClaw, Cursor-style tools, and other MCP clients a shared, source-cited memory layer that runs on your own machine.
What It Does
Imports Markdown, text, JSONL, and PDFs into a local vault
Preserves raw sources and extracts cited memory proposals
Lets you review memory before it becomes durable
Searches across sources, facts, events, failures, and decisions
Shows a graph of related memory with progressive expansion
Exposes MCP tools for agents:
memory_searchmemory_readmemory_explain_sourcesmemory_propose_updatememory_apply_update
The core rule is simple: agents can propose memory, but durable memory should be reviewable and source-cited.
Related MCP server: Cortex
Local Install
Requirements:
Node.js 20+
npm
npm install
npm run build:all
node dist/cli/index.js init --root .umos
node dist/cli/index.js serve --root .umos --host 127.0.0.1 --port 8765 --ui --read-writeOpen:
http://127.0.0.1:8765/index.htmlStart Free Locally
Use the local core when you want private, source-cited memory on your own machine:
import Markdown, text, JSONL, or PDFs
review extraction proposals before durable memory is applied
connect Claude, Codex, OpenClaw, or another MCP client over stdio
Hosted NeuraKeep
Use the hosted app when you need Google or enterprise SAML/OIDC sign-in, private personal vaults, isolated shared Team spaces, remote MCP over HTTPS, managed storage, backups, and Stripe-managed billing. Team workspaces include owner/admin/reviewer/editor/viewer roles, email-bound invitations, audit history, licensed seats, and SCIM provisioning. Hosted access requires an active individual or Team subscription; space-bound service tokens remain available for controlled MCP clients.
The public package contains the complete local-first core. Managed authentication, Stripe billing, Team tenancy, SSO, SCIM, deployment automation, and production credentials remain part of the hosted service and are not required to run NeuraKeep locally.
CLI Examples
node dist/cli/index.js ingest README.md --root .umos --kind markdown --space personal --trust-level trusted --origin manual --sensitivity internal
node dist/cli/index.js search "what should my agents remember?" --root .umos --space personal --neighbors 1
node dist/cli/index.js propose latest --root .umos
node dist/cli/index.js apply <proposal-id> --root .umos
node dist/cli/index.js mcp --root .umosLocal MCP Setup
Example stdio MCP config:
{
"command": "node",
"args": [
"C:/path/to/neurakeep/dist/cli/index.js",
"mcp",
"--root",
"C:/path/to/neurakeep/.umos"
]
}Local HTTP mode:
node dist/cli/index.js serve --root .umos --host 127.0.0.1 --port 8765 --uiUse --token or NEURAKEEP_MCP_TOKEN before exposing any HTTP endpoint outside your machine.
Free vs Paid
The open-source version is for local, self-managed memory. The hosted product adds managed auth, team spaces, remote connectors, shared storage, backups, and administration. See NeuraKeep pricing for the current hosted plans.
Docs
Development Checks
npm run typecheck
npm run build:all
npm test
npm run e2e
npm run check:secretsLicense
Apache-2.0
This server cannot be deployed
Maintenance
Related MCP Connectors
- memnodeOAuthdev.memnode
Persistent, inspectable memory for AI agents with lineage, correction, and a hosted MCP endpoint.
Shared, governed long-term memory for AI agents across tools and sessions via MCP and REST.
Private-by-default, local-first memory/context/task orchestrator for MCP apps and agents.
Persistent memory for AI agents across Claude, ChatGPT and any MCP client.
Related MCP Servers
- AlicenseNot gradedqualityDmaintenanceProvides persistent, local-first AI memory across sessions via MCP tools for storing, searching, and retrieving context from past interactions.1MIT
- AlicenseNot gradedqualityDmaintenanceLocal-first AI memory layer with hybrid retrieval and brain-inspired namespaces. Enables agents to save, search, and manage memories directly via MCP tools.3 npmMIT
- AlicenseNot gradedqualityAmaintenanceLocal-first, source-grounded memory for AI agents, with citations, bitemporal history, review-gated corrections, and MCP tools for search and recall.67 PyPI3Apache 2.0
- AlicenseCqualityAmaintenanceProvides AI agents with a human-inspired memory layer via MCP, enabling episodic and semantic memory recall, forgetting curves, consolidation, and contradiction detection. It integrates with MCP clients to offer local-first, dependency-free memory management.981MIT