Platform features
Everything your AI workforce needs to actually work
Every feature in Neuralgents is built around one idea: AI agents should work like employees, not search bars. Here's what that means in practice.
Training
Train like real employees
Most AI tools expect perfect prompts. Neuralgents agents are trained the way humans are — through conversation, correction, and context. Show them how your sales cycle works. Explain your support escalation policy. Correct them when they get it wrong. They improve with every interaction, and that training persists across every future session.
- Natural language feedback loops
- Correction-based learning
- Context accumulation over time
- Process documentation through dialogue
Memory
Perfect institutional memory
Every conversation your agent has, every decision it makes, every file it touches — it remembers. Agents carry context across sessions, across team members, and across time. Your agents know what happened last quarter. They remember the client's preferences from six months ago. No more re-explaining, no more lost context, no more starting over.
- Cross-session memory persistence
- Decision and task history
- Per-agent and shared memory stores
- Searchable institutional knowledge base
Roles
Role-based AI employees
Assign a role and a department, and your agent understands its scope, its responsibilities, and its limits. A Sales agent handles pipeline. A Support agent handles tickets. A Research agent monitors your industry. Roles keep agents focused and let you scale your AI team the same way you'd scale a human one — by hiring for specific functions.
- Pre-built department role templates
- Custom role and responsibility definitions
- Department-scoped access and context
- Multi-agent collaboration across roles
Tools
On-the-fly tool building
When an agent encounters a task it can't complete with its current tools, it doesn't stop. It proposes what it needs. A new API connector. A data scraper. A report template. Your team reviews and approves. The agent gets the capability and keeps working. The gap between "I need this" and "I have this" collapses to an approval click.
- Autonomous tool proposal engine
- Human-in-the-loop approval workflow
- API and webhook integrations
- Custom automation and script generation
Autonomy
The Pulse System — proactive by default
Agents don't just wait to be asked. The Pulse System gives each agent a heartbeat: scheduled check-ins, event-driven triggers, threshold alerts. They monitor pipelines, send updates, flag anomalies, and execute routines — all autonomously. When something needs a human decision, you get an approval request with full context. When it doesn't, it's already handled.
- Scheduled and event-driven task execution
- Proactive monitoring and alerting
- Human approval gates on critical decisions
- Full audit log of every autonomous action
Ownership
Fully yours — self-hosted and owned
You own your agents. Not a subscription seat. Not a usage tier. You deploy on your infrastructure, you control the data, and you export or clone any agent at any time. The training you pour into your agents is yours. If you ever outgrow us, your workforce comes with you. No lock-in. No disappearing features. No vendor pulling the plug.
- Self-hosted deployment on any infrastructure
- No vendor lock-in or feature gating
- Agent export, cloning, and forking
- Full visibility into the entire stack
Ready to build your AI team?
See how teams across sales, support, research, and operations are using Neuralgents to get real work done.