omem

OMEM Shared Memory That Never Forgets

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The Problem

Your AI agents have amnesia — and they work alone.

• 🧠 Amnesia — every session starts from zero. Preferences, decisions, context — all gone.
• 🏝️ Silos — your Coder agent can't access what your Writer agent learned.
• 📁 Local lock-in — memory tied to one machine. Switch devices, lose everything.
• 🚫 No sharing — team agents can't share what they know. Every agent re-discovers the same things.
• 🔍 Dumb recall — keyword match only. No semantic understanding, no relevance ranking.
• 🧩 No collective intelligence — even when agents work on the same team, there's no shared knowledge layer.

ourmem fixes all of this.

What is ourmem

ourmem gives AI agents shared persistent memory — across sessions, devices, agents, and teams. One API key reconnects everything.

🌐 Website: ourmem.ai

🧑‍💻 I use AI coding tools

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

🔧 I'm building AI products

REST API with 48+ endpoints. Docker one-liner for self-deploy. Embed persistent memory into your own agents and workflows.

→ Jump to Self-Deploy

Core Capabilities

📖 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.

Feature Overview

Category	Feature	Details
Platforms	4 platforms	OpenCode, Claude Code, OpenClaw, MCP Server
Sharing	Space-based sharing	Personal / Team / Organization with provenance
	Provenance tracking	Every shared memory carries full lineage
	Quality-gated auto-sharing	Rules fire on memory creation (async, non-blocking)
	Vector-enabled shared copies	Shared copies carry source vector embeddings for full search
	Idempotent sharing	Re-sharing returns existing copy (no duplicates)
	Version tracking	Memories track version counter, shared copies detect staleness via ?check_stale=true
	Re-share stale copies	Refresh outdated shared copies with latest source content and vector
	Convenience sharing	One-step cross-user share (share-to-user) and bulk share (share-all-to-user) with auto-bridging
	Organization management	One-step org creation (org/setup) and publish (org/publish) with auto-share rules
	Cross-space search	Search across all accessible spaces at once
Ingestion	Smart dedup	7 decisions: CREATE, MERGE, SKIP, SUPERSEDE, SUPPORT, CONTEXTUALIZE, CONTRADICT
	Noise filter	Regex + vector prototypes + feedback learning
	Admission control	5-dimension scoring gate (utility, confidence, novelty, recency, type prior)
	Dual-stream write	Sync fast path (<50ms) + async LLM extraction
	Post-import intelligence	Batch import → async LLM re-extraction + relation discovery
	Adaptive import strategy	Auto/atomic/section/document — heuristic content type detection
	Content fidelity	Original text preserved, dual-path search (vector + BM25 on source text)
	Cross-reconcile	Discover relations between memories via vector similarity
	Batch self-dedup	LLM deduplicates facts within same import batch
	Privacy protection	<private> tag redaction before storage
Retrieval	11-stage pipeline	Vector + BM25 → RRF → reranker → decay → importance → MMR diversity
	User Profile	Static facts + dynamic context, <100ms
	Retrieval trace	Per-stage explainability (input/output/score/duration)
Lifecycle	Weibull decay	Tier-specific β (Core=0.8, Working=1.0, Peripheral=1.3)
	Three-tier promotion	Peripheral ↔ Working ↔ Core with access-based promotion
	Auto-forgetting	TTL detection for time-sensitive info ("tomorrow", "next week")
Multi-modal	File processing	PDF, image OCR, video transcription, code AST chunking
	GitHub connector	Real-time webhook sync for code, issues, PRs
Deploy	Open source	Apache-2.0
	Self-hostable	Single binary, Docker one-liner, ~$5/month
	musl static build	Zero-dependency binary for any Linux x86_64
	Object storage	AWS S3 or any S3-compatible storage, with IAM role support
	Hosted option	ourmem.ai — nothing to deploy

From Isolated Agents to Collective Intelligence

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

	Personal	Team	Organization
Scope	One user, multiple agents	Multiple users	Company-wide
Example	Coder + Writer share preferences	Backend team shares arch decisions	Tech standards, security policies
Access	Owner's agents only	Team members	All org members (read-only)

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.

How It Works

┌──────────────────────────────────────────────────────────────────┐
│   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          │  │
│  └────────────────────────────────────────────────────────────┘  │
└──────────────────────────────────────────────────────────────────┘

• Write once, recall everywhere — memories persist across sessions, devices, and agents
• Gets smarter over time — reconciliation merges, updates, and contradicts memories automatically
• Share across boundaries — Personal → Team → Organization knowledge flow with full provenance
• No manual memory management — Weibull decay handles lifecycle, auto-share rules handle distribution

Key Concepts

API Key = Tenant ID = Your Identity

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 ↑

API Key vs Space ID

Concept	What it is	Example	How many
API Key	Your identity. Goes in X-API-Key header.	a1b2c3d4-...	1 per user
Space ID	A memory storage address. Each is an isolated database.	personal/a1b2c3d4-...	Multiple per user

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)

Sharing = Passing Your API Key

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.

Quick Start

Agent Install (recommended)

One message to your AI agent. It handles everything — API key, plugin install, config, verification.

Hosted (ourmem.ai — nothing to deploy):

Platform	Copy this to your agent