Welcome to Agentspace

Agentspace is your dedicated area for managing, building, and exploring AI agents on the UBOS platform. Here you can:

Discover new agent features
Access guides and documentation
Start building your own agents

Stay tuned for more updates and resources!

Why Agentspace?

Challenge Today	Impact	Agentspace Remedy
Ad‑hoc prompts + scripts	Slow iteration, hard to share	Structured templates & onboarding
Re‑inventing capabilities	Wasted cycles	Reusable Topics & Tools library
Hard to teach or evaluate agents	Unpredictable quality	Built-in educational + assessment tools (Teacher)
Prototype → Production gap	Experiments stall	Roadmap to APIs, orchestration, metering

Agentspace collapses scattered workflows into a single lifecycle hub.

Core Concepts

Concept	Description	Analogy
Agent	Configured AI persona with identity + abilities	A staffed role
Topic	A job domain that groups related tools & instructions	Department / function
Tool	Executable action (explain, summarize, quiz, search)	A skill or instrument
Template	Reusable blueprint for a class of agents	Playbook / starter kit
Reasoning Loop (forthcoming)	Plan → select topic → invoke tools → refine	Workflow engine

How It Works (High Level Flow)

You start in the Onboarding Flow: name, purpose, audience, tone.
Select or adapt a Template (e.g., Teacher Agent).
Attach Topics (Teaching, Knowledge Search, Support).
Each Topic exposes Tools the agent can call.
Interact via chat; refine prompts and metadata.
(Upcoming) Track usage, quality signals, and promote to production endpoints.

User Prompt ─▶ Agent Persona ─▶ Topic Selection ─▶ Tool Invocations ─▶ Response
                        ▲              │                 │
                        └──── Template / Instructions ───┘

The Teacher Agent (Flagship Template)

A pedagogically structured template showcasing the learning loop:

Tool	Purpose	Example Input	Example Output Key
`explain_concept`	Adaptive explanation by audience level	`{"topic":"Photosynthesis","audience":"10-year-old"}`	`explanation`
`summarize_text`	Condense long passages into bullets / paragraph	`{"text":"...","format":"bullet points"}`	`summary`
`quiz_me`	Generate formative assessment	`{"topic":"Roman History","difficulty":"hard","num_questions":3}`	`quiz[]`

Loop: Explain → Reinforce (summarize / restate) → Assess (quiz) → Iterate. Future extensions: spaced repetition, misconception detection, mastery scoring.

Other Early Use Cases

Use Case	Description	Starter Topic
Knowledge Navigator	Semantic + structured KB search	Knowledge Search
Support Assistant	FAQ + case triage + summarization	Support Ops
Research Synthesizer	Multi-source compare & merge summaries	Research
Domain Coach	Role-specific micro-coaching (sales, compliance)	Coaching

Last modified on May 21, 2026