{"id":1664,"date":"2026-06-30T00:05:00","date_gmt":"2026-06-30T00:05:00","guid":{"rendered":"https:\/\/futurenews24.com\/index.php\/2026\/06\/30\/open-memory-protocol\/"},"modified":"2026-06-30T00:59:08","modified_gmt":"2026-06-30T00:59:08","slug":"open-memory-protocol","status":"publish","type":"post","link":"https:\/\/futurenews24.com\/index.php\/2026\/06\/30\/open-memory-protocol\/","title":{"rendered":"SMJAI\/open-memory-protocol: An open normal for moveable, interoperable AI reminiscence throughout instruments, periods, and gadgets. \u00b7 GitHub"},"content":{"rendered":"


\n<\/p>\n

\n
\n

An open normal for moveable, interoperable AI reminiscence throughout instruments, periods, and gadgets.<\/p>\n<\/blockquote>\n

\"License\"
\n\"Spec
\n\"Discord\"<\/p>\n

Each AI device remembers you in a different way \u2014 and solely inside its personal partitions.<\/p>\n

Claude is aware of what you advised it yesterday. Cursor would not.
\nChatGPT discovered your preferences. Your customized agent hasn’t.
\nCopilot noticed your code type. Your terminal AI is ranging from zero.<\/p>\n

Each time you turn instruments, your AI forgets you. You repeat your self. Context is misplaced. The AI that was lastly beginning to know you resets to a stranger.<\/p>\n

That is the AI reminiscence silo drawback. And it has the identical answer as each silo drawback earlier than it: an open protocol.<\/p>\n

Open Reminiscence Protocol is a vendor-neutral specification for the way AI instruments retailer, retrieve, and share reminiscence about customers and their context.<\/p>\n

It’s:<\/p>\n

A specification \u2014 a exact definition of reminiscence objects, storage format, and HTTP API
\nA reference server \u2014 self-hostable, open-source, runs in Docker in a single command
\nA set of SDKs \u2014 TypeScript and Python libraries for constructing OMP-compatible instruments
\nA set of adapters \u2014 plug-ins for Claude (MCP), OpenAI, Cursor, and extra<\/p>\n

Any AI device that implements OMP can immediately share reminiscence with another OMP-compatible device.<\/p>\n

\n

Necessities: Node.js 22 or newer<\/p>\n<\/blockquote>\n

\n

1. Run your reminiscence server<\/h3>\n<\/div>\n

Or with Docker:<\/p>\n

docker run -p 3456:3456 -v omp-data:\/information ghcr.io\/smjai\/omp-server<\/div>\n

Your server is now operating at http:\/\/localhost:3456. Check it:<\/p>\n

curl http:\/\/localhost:3456\/v1\/well being
\n#<\/span> {“standing”:”okay”,”model”:”0.1″,”compliance”:”OMP-Core”,”memories_count”:0}<\/span><\/div>\n
\n

2. Join Claude (through MCP)<\/h3>\n<\/div>\n

Add to your Claude Desktop config (~\/.claude\/claude_desktop_config.json):<\/p>\n

{
\n “mcpServers”<\/span>: {
\n “omp”<\/span>: {
\n “command”<\/span>: “<\/span>npx“<\/span><\/span>,
\n “args”<\/span>: [“<\/span>omp-mcp“<\/span><\/span>],
\n “env”<\/span>: {
\n “OMP_SERVER”<\/span>: “<\/span>http:\/\/localhost:3456“<\/span><\/span>,
\n “OMP_API_KEY”<\/span>: “<\/span>your-omp-key“<\/span><\/span>
\n }
\n }
\n }
\n}<\/div>\n

To allow AI-powered reminiscence extraction and compression, additionally set these on the server:<\/p>\n

OMP_AI_PROVIDER=anthropic #<\/span> or “openai”<\/span>
\nOMP_AI_API_KEY=sk-ant-… #<\/span> your Anthropic or OpenAI key<\/span><\/div>\n
\n

Write a reminiscence from any device<\/h3>\n<\/div>\n
curl -X POST http:\/\/localhost:3456\/v1\/reminiscences
\n -H “<\/span>Content material-Sort: utility\/json“<\/span><\/span>
\n -d ‘<\/span>{<\/span>
\n “content material”: “Person prefers TypeScript over JavaScript and dislikes verbose feedback”,<\/span>
\n “kind”: “semantic”,<\/span>
\n “supply”: { “device”: “claude” },<\/span>
\n “tags”: [“preferences”, “coding”]<\/span>
\n }‘<\/span><\/span><\/div>\n
\n

Question from another device<\/h3>\n<\/div>\n
curl “<\/span>http:\/\/localhost:3456\/v1\/reminiscences\/search?q=coding+preferences“<\/span><\/span><\/div>\n
\u250c\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2510 \u250c\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2510 \u250c\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2510
\n\u2502 Claude \u2502 \u2502 Cursor \u2502 \u2502 Your Agent \u2502
\n\u2502 (MCP) \u2502 \u2502 (SDK) \u2502 \u2502 (REST API) \u2502
\n\u2514\u2500\u2500\u2500\u2500\u2500\u2500\u252c\u2500\u2500\u2500\u2500\u2500\u2500\u2518 \u2514\u2500\u2500\u2500\u2500\u2500\u2500\u252c\u2500\u2500\u2500\u2500\u2500\u2500\u2518 \u2514\u2500\u2500\u2500\u2500\u2500\u2500\u252c\u2500\u2500\u2500\u2500\u2500\u2500\u2518
\n \u2502 \u2502 \u2502
\n \u2514\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u253c\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2518
\n \u2502
\n \u250c\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u25bc\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2510
\n \u2502 OMP Server \u2502
\n \u2502 (self-hosted) \u2502
\n \u2502 \u2502
\n \u2502 \u250c\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2510 \u2502
\n \u2502 \u2502 SQLite \u2502 \u2502
\n \u2502 \u2502 \/ Pgvec \u2502 \u2502
\n \u2502 \u2514\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2518 \u2502
\n \u2514\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2518\n<\/div>\n

Each device reads and writes to a single OMP server you management. One reminiscence retailer. All instruments. Zero silos.<\/p>\n

OMP defines:<\/p>\n

Reminiscence Object \u2014 the canonical schema for a reminiscence (content material, kind, supply, tags, timestamps, non-compulsory embedding)
\nReminiscence Varieties \u2014 episodic (occasions), semantic (information\/preferences), procedural (how-to data)
\nREST API \u2014 normal CRUD + semantic search endpoints
\nAuthentication \u2014 bearer token, per-tool API keys
\nExport\/Import \u2014 moveable JSON format for shifting reminiscences between servers<\/p>\n

Learn the complete specification: SPEC.md<\/p>\n

{
\n “id”<\/span>: “<\/span>mem_01j9xk2p3q4r5s6t“<\/span><\/span>,
\n “content material”<\/span>: “<\/span>Person is constructing a fintech startup, prefers clear structure, dislikes over-engineering“<\/span><\/span>,
\n “kind”<\/span>: “<\/span>semantic“<\/span><\/span>,
\n “supply”<\/span>: {
\n “device”<\/span>: “<\/span>claude“<\/span><\/span>,
\n “session_id”<\/span>: “<\/span>sess_abc123“<\/span><\/span>,
\n “timestamp”<\/span>: “<\/span>2026-06-29T12:00:00Z“<\/span><\/span>
\n },
\n “tags”<\/span>: [“<\/span>profile“<\/span><\/span>, “<\/span>preferences“<\/span><\/span>, “<\/span>engineering“<\/span><\/span>],
\n “created_at”<\/span>: “<\/span>2026-06-29T12:00:00Z“<\/span><\/span>,
\n “updated_at”<\/span>: “<\/span>2026-06-29T12:00:00Z“<\/span><\/span>,
\n “expires_at”<\/span>: null<\/span>
\n}<\/div>\n

Software
\nStanding
\nSet up<\/p>\n

Claude (MCP)
\n\u2705 Obtainable
\nnpx omp-mcp<\/p>\n

OpenAI Assistants
\n\ud83d\ude4b Assist wished
\nOpen difficulty<\/p>\n

Cursor
\n\ud83d\ude4b Assist wished
\nOpen difficulty<\/p>\n

Copilot \/ VS Code
\n\ud83d\ude4b Assist wished
\nOpen difficulty<\/p>\n

Gemini
\n\ud83d\ude4b Assist wished
\nOpen difficulty<\/p>\n

Customized (REST)
\n\u2705 Obtainable
\nAny HTTP consumer<\/p>\n

Need to construct one? An adapter is usually 100\u2013200 strains \u2014 learn CONTRIBUTING.md and use adapters\/claude-mcp as a template.<\/p>\n

The OMP API is apparent REST \u2014 any HTTP consumer works out of the field. Typed SDKs are on the roadmap.<\/p>\n

Need to construct one? Python, Go, Rust, and Ruby SDKs are all wanted. See CONTRIBUTING.md.<\/p>\n

#<\/span> Save a reminiscence<\/span>
\ncurl -X POST http:\/\/localhost:3456\/v1\/reminiscences
\n -H “<\/span>Content material-Sort: utility\/json“<\/span><\/span>
\n -d ‘<\/span>{“content material”:”Person prefers TypeScript”,”kind”:”semantic”,”supply”:{“device”:”myapp”,”timestamp”:”2026-06-30T00:00:00Z”}}‘<\/span><\/span><\/p>\n

#<\/span> Search reminiscences<\/span>
\ncurl -X POST http:\/\/localhost:3456\/v1\/reminiscences\/search
\n -H “<\/span>Content material-Sort: utility\/json“<\/span><\/span>
\n -d ‘<\/span>{“q”:”TypeScript”,”restrict”:5}‘<\/span><\/span><\/div>\n

Your reminiscences are yours. They shouldn’t be locked inside an organization’s database, used to coach fashions with out your consent, or misplaced while you change instruments.<\/p>\n

OMP is designed on these ideas:<\/p>\n

Self-hosted first \u2014 you run the server, you personal the information
\nVendor impartial \u2014 no firm controls the usual
\nPrivateness by design \u2014 reminiscences by no means depart your server except you export them
\nMoveable \u2014 import\/export your full reminiscence in a single command<\/p>\n

OMP is community-driven. We’d like:<\/p>\n

Adapter builders \u2014 join your favorite AI device
\nSDK contributors \u2014 Go, Rust, Java SDKs welcome
\nSpec reviewers \u2014 learn SPEC.md and open points
\nEarly adopters \u2014 attempt it and report what breaks<\/p>\n

See CONTRIBUTING.md to get began.<\/p>\n

GitHub Discussions \u2014 questions, concepts, suggestions
\nPoints \u2014 bugs and spec clarifications<\/p>\n

Apache 2.0 \u2014 free to make use of, modify, and distribute. See LICENSE.<\/p>\n

Constructed by SMJAI and contributors.<\/p>\n<\/div>\n


\n
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An open normal for moveable, interoperable AI reminiscence throughout instruments, periods, and gadgets. Each AI device remembers you in a different way \u2014 and solely inside its personal partitions. Claude is aware of what you advised it yesterday. Cursor would not. ChatGPT discovered your preferences. Your customized agent hasn’t. Copilot noticed your code type. Your […]<\/p>\n","protected":false},"author":1,"featured_media":1666,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"fifu_image_url":"https:\/\/opengraph.githubassets.com\/d14ee56dc35a14db940ac31208e33792a060adf3a33b7d63dc7dbceda8171b6d\/SMJAI\/open-memory-protocol","fifu_image_alt":"","jnews-multi-image_gallery":[],"jnews_single_post":[],"jnews_primary_category":[],"jnews_override_bookmark_settings":[],"jnews_social_meta":[],"jnews_override_counter":[],"footnotes":""},"categories":[5],"tags":[1480,97,2129,554,35,1395,2130,2127,2128,56],"class_list":["post-1664","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-developer-ai-open-source-ecosystem","tag-devices","tag-github","tag-interoperable","tag-memory","tag-open","tag-portable","tag-sessions","tag-smjaiopenmemoryprotocol","tag-standard","tag-tools"],"yoast_head":"\nSMJAI\/open-memory-protocol: An open normal for moveable, interoperable AI reminiscence throughout instruments, periods, and gadgets. \u00b7 GitHub - 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