Power your agent
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Your AI agents have amnesia — and they work alone.
Shared Memory That Never Forgets — persistent memory for AI agents with Space-based sharing across agents and teams. Plugins for OpenCode, Claude Code, OpenClaw, MCP Server.
ourmem fixes all of this.
ourmem gives AI agents shared persistent memory — across sessions, devices, agents, and teams. One API key reconnects everything.
🌐 Website: ourmem.ai
Install the plugin for your platform. Memory works automatically — your agent recalls past context on session start and captures key info on session end.
→ Jump to Quick Start
REST API with 48+ endpoints. Docker one-liner for self-deploy. Embed persistent memory into your own agents and workflows.
→ Jump to Self-Deploy
📖 Memory Pipeline Architecture — Technical deep-dive into how ourmem stores, retrieves, and evolves memories.
🔗 Memory Sharing Architecture — How memories flow across agents and teams: sharing, provenance, versioning, and cross-space search.
Most AI memory systems trap knowledge in silos. ourmem's three-tier Space architecture enables knowledge flow across agents and teams — with provenance tracking and quality-gated sharing.
Research shows collaborative memory reduces redundant work by up to 61% — agents stop re-discovering what their teammates already know. — Collaborative Memory, ICLR 2026
Provenance-tracked sharing — every shared memory carries its lineage: who shared it, when, and where it came from. Shared copies include the source memory's vector embedding, so they're fully searchable in the target space.
Quality-gated auto-sharing — rules filter by importance, category, and tags. Rules fire automatically when new memories are created. Only high-value insights cross space boundaries.
┌──────────────────────────────────────────────────────────────────┐
│ Your AI Agent (OpenCode / Claude Code / OpenClaw / Cursor) │
│ │
│ Session Start → auto-recall relevant memories │
│ During Work → keyword detection triggers recall │
│ Session End → auto-capture decisions, preferences, facts │
└───────────────────────────┬──────────────────────────────────────┘
│ REST API (X-API-Key)
▼
┌──────────────────────────────────────────────────────────────────┐
│ ourmem Server │
│ │
│ ┌─ Smart Ingest ─────────────────────────────────────────────┐ │
│ │ Messages → LLM extraction → noise filter → admission │ │
│ │ → 7-decision reconciliation (CREATE / MERGE / SUPERSEDE / │ │
│ │ SUPPORT / CONTEXTUALIZE / CONTRADICT / SKIP) │ │
│ │ → cross-reconcile relations → privacy redaction │ │
│ └────────────────────────────────────────────────────────────┘ │
│ │
│ ┌─ Hybrid Search (11 stages) ────────────────────────────────┐ │
│ │ Vector + BM25 → RRF fusion → cross-encoder reranker │ │
│ │ → Weibull decay boost → importance scoring │ │
│ │ → MMR diversity → parallel cross-space aggregation │ │
│ └────────────────────────────────────────────────────────────┘ │
│ │
│ ┌─ Sharing Engine ───────────────────────────────────────────┐ │
│ │ Personal / Team / Organization spaces │ │
│ │ → provenance tracking → version-based stale detection │ │
│ │ → auto-share rules → one-step share-to-user │ │
│ └────────────────────────────────────────────────────────────┘ │
│ │
│ ┌─ Lifecycle ────────────────────────────────────────────────┐ │
│ │ Weibull decay (Core β=0.8 / Working β=1.0 / Peripheral │ │
│ │ β=1.3) → 3-tier promotion → auto-forgetting TTL │ │
│ └────────────────────────────────────────────────────────────┘ │
└──────────────────────────────────────────────────────────────────┘
When you create a tenant, the returned id is your API Key. They're the same UUID. There is no separate "tenant ID".
curl -X POST https://api.ourmem.ai/v1/tenants -d '{"name": "alice"}'
# → {"id": "a1b2c3d4-...", "api_key": "a1b2c3d4-...", "status": "active"}
# ↑ same value ↑
One API Key owns multiple Spaces:
API Key "a1b2c3d4"
│
├── personal/a1b2c3d4 ← auto-created, your private memories
├── team/e5f6g7h8 ← team space you created (you = Admin)
├── team/i9j0k1l2 ← team space you were invited to (you = Member)
└── org/m3n4o5p6 ← organization you joined (you = Reader)
To share memories with another user, you pass their API Key as target_user:
# Share all your preferences to user Bob
curl -X POST https://api.ourmem.ai/v1/memories/share-all-to-user \
-H "X-API-Key: your-api-key" \
-d '{"target_user": "bobs-api-key", "filters": {"categories": ["preference"]}}'
The system automatically creates a bridging Team Space between you and Bob. No manual space management needed.
One message to your AI agent. It handles everything — API key, plugin install, config, verification.
Hosted (ourmem.ai — nothing to deploy):
Self-hosted (your own server):
That's it. Your agent handles the rest.
Skill Install (alternative):
If you prefer CLI installation, install the ourmem skill directly:
npx skills add ourmem/omem --skill ourmem -g
This works with 44+ AI agents including Claude Code, OpenCode, Cursor, and more. See Vercel Skills CLI for details.
Hosted:
curl -sX POST https://api.ourmem.ai/v1/tenants \
-H "Content-Type: application/json" \
-d '{"name": "my-workspace"}' | jq .
# → {"id": "xxx", "api_key": "xxx", "status": "active"}
Self-deploy:
docker run -d -p 8080:8080 -e OMEM_EMBED_PROVIDER=bedrock ghcr.io/ourmem/omem-server:latest
curl -sX POST http://localhost:8080/v1/tenants \
-H "Content-Type: application/json" \
-d '{"name": "my-workspace"}' | jq .
Save the returned api_key — this reconnects you to the same memory from any machine.
OpenCode: Add "plugin": ["@ourmem/opencode"] to opencode.json + configure plugin_config with apiUrl and apiKey in the same file.
Claude Code: /plugin marketplace add ourmem/omem + set env vars in ~/.claude/settings.json.
OpenClaw: openclaw plugins install @ourmem/ourmem + configure openclaw.json with apiUrl and apiKey.
MCP (Cursor / VS Code / Claude Desktop):
{
"mcpServers": {
"ourmem": {
"command": "npx",
"args": ["-y", "@ourmem/mcp"],
"env": {
"OMEM_API_URL": "https://api.ourmem.ai",
"OMEM_API_KEY": "your-api-key"
}
}
}
}
curl -sX POST "$OMEM_API_URL/v1/memories" \
-H "X-API-Key: $OMEM_API_KEY" -H "Content-Type: application/json" \
-d '{"content": "I prefer dark mode", "tags": ["preference"]}'
curl -s "$OMEM_API_URL/v1/memories/search?q=dark+mode" -H "X-API-Key: $OMEM_API_KEY"
Convenience APIs:
share-to-user(one-step cross-user share with auto-bridging) andshare-all-to-user(bulk share). MCP exposes 15 tools + 1 resource. OpenCode/OpenClaw expose 11 tools + 3 hooks.
Browse, search, and manage your agent's memories visually at ourmem.ai/space — see how memories connect, evolve, and decay over time.
# Minimal (BM25 search only, no embedding API needed)
docker run -d -p 8080:8080 ghcr.io/ourmem/omem-server:latest
# With Bedrock embedding (recommended, needs AWS credentials)
docker run -d -p 8080:8080 \
-e OMEM_EMBED_PROVIDER=bedrock \
-e AWS_REGION=us-east-1 \
ghcr.io/ourmem/omem-server:latest
# With OpenAI-compatible embedding
docker run -d -p 8080:8080 \
-e OMEM_EMBED_PROVIDER=openai-compatible \
-e OMEM_EMBED_API_KEY=sk-xxx \
ghcr.io/ourmem/omem-server:latest
Full deployment guide: docs/DEPLOY.md
By default ourmem stores data on local disk. For durability and scalability, configure AWS S3 or any S3-compatible object storage:
# Add to your environment
OMEM_S3_BUCKET=your-bucket # enables s3:// scheme
AWS_ENDPOINT_URL=https://s3.amazonaws.com
AWS_REGION=us-east-1
# Alternative: OSS-compatible storage
OMEM_OSS_BUCKET=your-bucket # enables oss:// scheme
OSS_ENDPOINT=https://oss-xx-internal.aliyuncs.com
OSS_ACCESS_KEY_ID=your-ak # or use ECS RAM role (auto-discovered)
OSS_ACCESS_KEY_SECRET=your-sk
If both
OMEM_S3_BUCKETandOMEM_OSS_BUCKETare set, OSS takes priority.
cargo build --release -p omem-server
# Binary: target/release/omem-server
# Requires: same or newer glibc on target machine
Single binary that runs on any Linux x86_64 — no glibc, no libraries, nothing.
rustup target add x86_64-unknown-linux-musl
RUSTFLAGS="-C target-feature=+crt-static -C relocation-model=static" \
cargo build --release --target x86_64-unknown-linux-musl \
-p omem-server --no-default-features
# Binary: target/x86_64-unknown-linux-musl/release/omem-server
# Statically linked, runs anywhere
Note: The musl build uses
--no-default-featureswhich excludes AWS Bedrock support. UseOMEM_EMBED_PROVIDER=openai-compatible(e.g. DashScope, OpenAI) instead. This is becauseaws-lc-sys(AWS crypto library) crashes on musl static linking due todlopen(NULL)incompatibility (aws-c-cal#213), and Rust's defaultstatic-pieoutput segfaults with musl-gcc (rust-lang/rust#95926).
# Compress
gzip -c target/x86_64-unknown-linux-musl/release/omem-server > omem-server.gz
# Copy to server
scp omem-server.gz user@server:/opt/
# Run (no dependencies needed)
ssh user@server "gunzip /opt/omem-server.gz && chmod +x /opt/omem-server && /opt/omem-server"
Full API reference (48+ endpoints): docs/API.md
Apache-2.0
Shared Memory That Never Forgets — persistent memory for AI agents with Space-based sharing across agents and teams. Plugins for OpenCode, Claude Code, OpenClaw, MCP Server.
เครื่องมือ
ยังไม่มีรายการเครื่องมือ เซิร์ฟเวอร์แบบรีโมตจะได้รายการหลังการตรวจสอบสถานะครั้งแรก
FAQ
คัดลอกคอนฟิก stdio สำหรับ Cursor, Claude Desktop, Claude Code หรือ VS Code ได้ในหน้านี้ คอนฟิกนี้ใช้การติดตั้งของผู้เผยแพร่ ไม่ใช่พร็อกซีของ PlugMCP
ระเบียนนี้ไม่ได้ระบุตัวแปรสภาพแวดล้อมที่จำเป็น
Omem ทำงานแบบโลคัลผ่าน stdio
ตรวจสอบล่าสุดเมื่อ 2026-10-26 Shared Memory That Never Forgets — persistent memory for AI agents with Space-based sharing across agents and teams. Plugins for OpenCode, Claude Code, OpenClaw, MCP Server.