Memory Management

Nexent’s intelligent memory system gives agents persistent context. With multi-level memories, agents can remember key facts across conversations, retrieve them automatically, and deliver more personalized answers.

🎯 What the Memory System Does

The memory system lets agents “remember” important information and reuse it later without you repeating yourself.

Core Benefits

• Cross-conversation memory – Agents keep track of important facts from earlier chats.
• Automatic retrieval – Relevant memories are pulled in automatically.
• Personalized service – Responses adapt to user preferences and habits.
• Knowledge accumulation – Agents keep getting smarter the more you use them.

⚙️ System Configuration

Access Memory Management

1. Click Memory Management in the left navigation.
2. Open the System Configuration section.

Base Settings

Setting	Options	Default	Description
Memory Service Status	Enable / Disable	Enable	Controls whether the memory system runs.
Agent Memory Sharing Strategy	Always Share / Ask Every Time / Never Share	Always Share	Defines if agents can share memories without user confirmation.

Setting Tips

• Memory service status – Disable it if you want a completely stateless experience; enable it to unlock all memory features.
• Sharing strategy
  • Always Share – Agents exchange memories automatically.
  • Ask Every Time – You approve each sharing request.
  • Never Share – Agents stay isolated.

📚 Memory Levels

Nexent uses four storage levels so you can keep global knowledge and private facts separate.

Tenant-Level

• Scope: Entire organization, shared by all users and agents.
• Stores: SOPs, compliance policies, org charts, long-term facts.
• Best for: Company-wide knowledge and governance.
• Managed by: Tenant administrators.

Agent-Level

• Scope: A specific agent, shared by everyone using it.
• Stores: Domain knowledge, skill templates, historical summaries.
• Best for: Letting an agent accumulate expertise over time.
• Managed by: Tenant administrators.

User-Level

• Scope: A single user account.
• Stores: Personal preferences, habits, favorite commands, personal info.
• Best for: Tailoring the platform to a specific user.
• Managed by: That user.

User-Agent Level

• Scope: A specific agent used by a specific user (most granular).
• Stores: Collaboration history, personal facts, task context.
• Best for: Deep personalization and long-running projects.
• Managed by: That user.

Retrieval Priority

When an agent retrieves memory it follows this order (high ➝ low):

1. Tenant Level – shared facts and policies.
2. User-Agent Level – very specific context for that pairing.
3. User Level – general personal preferences.
4. Agent Level – the agent’s professional knowledge.

🤖 Automated Memory Management

The system takes care of most work for you:

• Smart extraction: Detects key facts in conversations, creates memory entries automatically, and stores them at the right level—no manual input needed.
• Automatic context embedding: Retrieves the most relevant memories and implicitly injects them into the conversation context so agents respond with better accuracy.
• Incremental updates: Gradually refreshes or removes outdated memories to keep the store clean, timely, and reliable.

✋ Manual Memory Operations

Need full control? Manage entries manually.

Add a Memory

1. Choose the level (tenant / agent / user / user-agent) and target agent.
2. Click the green + button.
3. Enter up to 500 characters describing the fact.
4. Click the check mark to save.

Delete Memories

• Delete group: Click the red ✕ icon to remove every entry under that agent group (confirm in the dialog).
• Delete single entry: Click the red eraser icon to remove one entry.

💡 Usage Tips

Memory Content Guidelines

1. Keep entries atomic: Each memory should contain one clear fact.
   • ✅ Good: “The user prefers dark mode.”
   • ❌ Not good: “The user prefers dark mode, works nights, and loves coffee.”
2. Maintain freshness: Review and remove outdated entries regularly.
3. Protect privacy: Store sensitive info at the user or user-agent level instead of tenant level.

Best Practices

• Pick the memory level that matches the sharing needs.
• Let automation handle routine facts; manually add critical knowledge.
• Review the memory list periodically to keep everything relevant.
• Keep personal or sensitive data scoped tightly to the right user.

🚀 Next Steps

With memory configured you can:

1. Experience the new continuity in Start Chat.
2. Manage all agents in Agent Space.
3. Build more agents inside Agent Development.

Need help? Check the FAQ or open a thread in GitHub Discussions.