Nyne
Deploys agents across the web to build structured profiles of individuals from public digital footprint, then feeds the people graph into AI agents as contextual memory so they understand users before any conversation starts.
At a glance
- Type
- Human-profile / people-graph memory
- Tier
- T2
- Section
- Dedicated memory layers
- Created
- 2026-03
- Latest release
- not applicable — not OSS
- License
- not applicable — not OSS
- GitHub
- not applicable — no GitHub repo
- Pricing
- searched not found
- Funding
- $5M total Seed · 2026-03
Taxonomy
- storage
- graph
- retrieval
- graph-traversal
- persistence
- long-term
- update
- extraction
- unit
- profile
- governance
- opaque
- conflict
- none
When to use
Optimised for: people-graph context for B2B agents
Anti-fit: not for use cases that require strict consent-based data (operates on public web footprint)
Pros & cons
Pros
Memory-as-a-service positioning with developer-friendly SDK; quick prototyping path.
Cons
Newer entrant with limited adoption signal.
Claims & capabilities
$5.3M seed (March 2026, Wischoff Ventures + South Park Commons). Father-son founder pair (Michael + Emad Fanous).
Technical surface
- API surface
- searched not found
- Backend storage
- searched not found
- Deployment
- Cloud API (agents deployed across web to build people graph; no self-hosted option found)
- Embedding model
- searched not found
- Multi-tenancy
- searched not found
- MCP
- not documented publicly
- A2A
- not documented publicly
- OpenTelemetry
- not documented publicly
Similar systems
Other dedicated memory layers in the catalog, ranked by inbound references.
- Mem0 T1
Universal memory layer for AI agents. Three concurrent stores (vector + graph + KV); LLM-extracted facts; concurrent retrieval via ThreadPoolExecutor.
- Zep & Graphiti T1
Bi-temporal knowledge graph (event time + ingestion time). Strong on chronological reasoning and contradiction tracking. Graphiti is the open-source core.
- Cognee T1
"Extract–Cognify–Load" pipeline that turns raw input into a typed, queryable knowledge graph for agent recall.
- Hindsight (Vectorize) T1
Standalone memory service from Vectorize. Open source. Biomimetic four-network design (World, Bank, Observation, Opinion). Ships an MCP memory server.
- Memvid T2
Single-file memory layer (one .mv2 file). No DB, no server. Append-only sequence of immutable Smart Frames with timestamps + checksums. Native Rust core (rewritten from Python).
- Supermemory T1
Memory engine with API, app, browser extension, and MCP server. Extracts facts, tracks updates, resolves contradictions, auto-forgets expired info. Plugins for Claude Code, OpenCode, OpenClaw, Hermes.