Building Memory-First Enterprise AI
2026 Community Growth Plan
Create a thriving ecosystem of developers building memory-first AI agents and applications with Memori.
Every Tuesday
2:00 PM - 6:00 PM PT
Memori HQ
Every Thursday
10:00 AM - 2:00 PM PT
Discord / Zoom
✓ Direct access to Memori engineers | ✓ Code reviews | ✓ Architecture guidance | ✓ Community networking
Workshops per year
Build agents with persistent memory
Design memory with SQL-native storage
Hybrid retrieval and memory systems
Format: 90 minutes | Live coding | Q&A | Recorded & archived
48-hour virtual hackathons
Once per quarter (4 per year)
$50K+
per hackathon
Memory Agents | Memory SDKs | Recall Tooling | Integrations | Design
Connect, learn, and share with the Memori community
Get paid for valuable contributions to the Memori ecosystem
$500 - $5,000
$500 - $3,000
$400 - $3,000
$200 - $1,500
$5,000 - $50,000
per project
Advanced enterprise AI research
Ambitious tool development
Learning platforms & courses
Inclusive memory experiences
Review Cycles: Quarterly (Mar, Jun, Sep, Dec)
Curated, secure marketplace for memory integrations and SDK extensions
Browse by category, search, filter
Seamless installation experience
All servers audited & verified
Ratings, reviews, trending
Goal: 500+ verified servers | 10,000+ monthly installs
Phased rollout strategy for memory-first adoption
Launch: Memory Office Hours, Memory Workshops
Goal: 100+ community members
Budget: $50K
Launch: Memory Meetups, Grants, Hackathon
Goal: 500+ community members
Budget: $120K
Launch: Memory Residency, Marketplace
Goal: 1,000+ community members
Budget: $80K
Enterprise training, certifications, and structured learning for memory-first AI
Ephemeral cloud environments with Memori memory tooling pre-installed
memori deploy --template python-ml
Official Integrations
Claude, OpenAI, Gemini
PostgreSQL, MySQL, SQLite, MongoDB
LangChain, PydanticAI
Memori Intelligence, Memory Vault
Growing: 15+ datastores | 5+ LLMs | Open-source SDKs
Memori's competitive positioning in the AI memory layer market
Based on SWOT analysis - Critical success factors
TAM: Enterprise AI memory layer adoption
Target: 10K+ memory-first teams
Differentiation: SQL-native memory + explainable lineage
Strategy: Memory-first, enterprise-ready
10,000+ active developers
500+ published & verified
5,000+ total attendees
20+ funded projects
200+ bounties claimed
500+ submissions
Data-driven measurement framework with proven benchmarks
✅ 70 projects delivered (41 bounties paid)
✅ 10,000+ views on educational content
✅ 3 residencies (32 guests, 12 days)
✅ 80% completion rate (last cohort)
Total Annual Investment: Significant commitment to community growth
Be part of building the future of memory-first AI
Contact: devrel@memorilabs.ai | Discord: #devrel
Website: memorilabs.ai | Docs: docs.memorilabs.ai
Let's build the future together
⚡ Memori - The Memory Fabric for Enterprise AI