Agents That Remember
Who You Are
Most agent frameworks treat every conversation as day one. NarraNexus gives agents persistent memory, social identity, and evolving expertise — across sessions, topics, and teams.
The problems we solve
“Agents forget everything between sessions”
Narrative Memory
Conversations are organized into topic-based storylines that persist for weeks. Your agent picks up right where you left off — even if the last message was 3 weeks ago on a different topic.
“Agents don’t know who they’re talking to”
Social Intelligence
Agents build a graph of everyone they interact with — names, roles, expertise, communication style. They adapt how they work based on who’s asking.
“Agent capabilities are monolithic and rigid”
Modular Architecture
Hot-swap capability modules without touching core logic. Add memory, jobs, skills, or agent-to-agent communication as independent plugins.
What makes NarraNexus different
Narrative Memory
Every topic becomes a persistent Narrative with its own history, active modules, and summary. The agent routes new messages to the right storyline automatically — or creates a new one when the topic is genuinely new.
Learn moreSocial Awareness
Your agent tracks every person, team, and agent it encounters — their roles, expertise, preferences, and history. Follow up on leads, manage stakeholder relationships, coordinate across agents, and never lose context on who’s involved in what.
Learn moreAutonomous Work
Schedule one-off reminders, recurring checks, or ongoing monitoring tasks. Jobs run in the background with full context and report results through chat when they complete.
Learn moreExtensible by Design
Modules are independent and hot-swappable. Skills install from a marketplace. LLM providers swap without code changes. Build with Claude, OpenAI, or Gemini — or switch between them.
Learn moreSystem Overview
A layered pipeline from user interface to persistent storage.
See it in action
Topic-Aware Conversations
- 1Messages automatically routed to the right topic storyline
- 23-stage selection: continuity detection → semantic search → agent decision
- 38 default Narratives per user — from greetings to deep technical discussions
- 4Cross-topic awareness: the agent knows what you discussed elsewhere
Who is it for
Personal Assistant
An agent that remembers your preferences, manages reminders, and adapts to how you like to communicate — across days, weeks, and topics.
Team Coordinator
Multi-agent systems where each agent has a specialty — research, scheduling, code review — and they coordinate through the MessageBus.
Developers
Build agents with persistent memory and social awareness in hours, not weeks. Modular architecture means you extend, not rewrite.
Researchers
Experiment with narrative-driven agent architectures. Study how topic-based memory and social graphs affect agent behavior over time.
Try it in 60 seconds
Three ways to get started, from zero-install to full local setup.
No installation. Open in your browser, create an account, and start chatting with your agent immediately.
Open NarraNexus WebDownload the macOS app. Bundled Python, auto-starts all services. No terminal required.
Download latest release →Full local setup with tmux, 7 services, and hot-reload for development.
git clone https://github.com/NetMindAI-Open/NarraNexus.git && bash run.shWhere we are going
- 2026-03v1.0FoundationShipped
- Core agent runtime with 7-step pipeline
- Narrative memory engine
- Module system with hot-pluggable capabilities
- Built-in MCP tools
- Multi-LLM provider support
- 2026-03v1.0.5Desktop & CloudShipped
- macOS desktop app with bundled runtime
- Cloud deployment with multi-tenant auth
- Agent-to-agent communication (DM & group chat)
- Skill system & ClawHub marketplace integration
- Dashboard v2 with job tracking & cost monitoring
- 2026 Q2v1.1Scale & Integrate
- Docker Compose one-command deployment
- IM platform integrations (Telegram, Lark)
- Community plugin system
- Multimodal interaction support