Overview
SecOpentAgent is self-improving AI agent infrastructure — agent runtime with a closed-loop learning loop that creates skills from experience, improves them during use, and persists knowledge across sessions. Deployed behind a single gateway process reaching Telegram, Discord, Slack, Signal, and CLI, with scheduled automations handled natively. Used to back SecSight from the SOC side and to power SecOpent case-DSL exploration.
Seven runtime backends including serverless persistence — runs on a $5 VPS, a GPU cluster, or serverless infrastructure that hibernates when idle and costs nearly nothing between sessions. Compatible with the open agentskills.io skill standard and the Honcho dialectic user-modeling dialect.
Pain → Solution → Value
Most AI chat sessions reset to a blank slate — skills lost between conversations, vendor lock-in everywhere, no way to drive the agent from your phone. SecOpentAgent turns that blank slate into a compounding asset: a single agent that learns, runs anywhere, and keeps memory across every model and surface.
What changes for the team
A wider view of the same loop. Each card zooms into the corresponding column above.
Every chat starts from zero
- Skills taught today are forgotten tomorrow — the next session has no idea who you are.
- Vendor lock-in traps your conversations, context, and tooling inside one closed garden.
- You're chained to a desktop — no way to drive the agent from your phone.
A self-improving agent, anywhere
- Closed learning loop: skill creation + improvement + memory + cross-session search + user modeling.
- LiteLLM routes Anthropic, OpenAI, local models, and self-hosted weights behind one interface.
- Reach the same agent from Telegram, Discord, Slack, WhatsApp, Signal, or CLI — even while asleep.
Smarter every session. Yours, forever.
- The agent gets sharper with every session — accumulated skills and memory compound like interest.
- No vendor lock-in: swap models, self-host, or take it offline — your data stays yours.
- Control from anywhere: message the agent from your phone, laptop, or chat thread — same brain.
Product architecture
Every request threads through five participants.
Capabilities
By the numbers
- Closed-loop learning
- 7 runtime backends
- Multi-platform gateway
- Scheduled automations
- Honcho user modeling
- agentskills.io compatible