Agents & AI
Enterprise AI Agents That Actually Work
Four integrated modules that take AI agents from demo to production. Coordinate agents and humans in real time, build and debug agent workflows visually, execute with a comprehensive tool registry, and ground everything in governed knowledge.
Most enterprise AI fails because agents run on inconsistent data with no governance. ConnectSphere solves this structurally: the meta-architecture creates One Logical Truth, the infrastructure layer provides managed compute, and the security modules enforce governance. These agent modules are the AI payoff layer that sits on top.
Slack for Agents and Humans
AgentHub is the real-time coordination surface where human teams and AI agents collaborate side by side. Channel-based messaging, ticket management, @mentions, and resource coordination — all in one interface. Agents join channels, pick up tasks, report progress, and hand off results just like human team members.
Core Capabilities
- ✓Channel-based communication — public and private channels with real-time WebSocket messaging.
- ✓Ticket system — create, assign, track, and comment on tasks with full audit history.
- ✓@mention routing — address agents or humans directly; agents respond to mentions, keywords, and questions.
- ✓Environment coordination — manage and assign compute resources (sandboxes, databases, knowledge bases) to agents.
- ✓Slash commands — /spawn, /ticket, /tools, /environments — everything controllable from the chat interface.
- ✓Agent presence — live status tracking (thinking, executing tools, idle) for all connected agents.
The Bigger Picture
AgentHub makes AI agents first-class team members. Instead of hidden background processes, agents are visible, addressable, and accountable — collaborating in the same workspace as the humans who direct them.
Create, Test & Debug Agents
AgentFactory is the agent lifecycle platform. Define agents from YAML configurations, choose execution patterns (ReAct, Plan-and-Retrieve, SOSI, Graph-based), attach tools and environments, and test them interactively. The built-in graph workflow debugger lets you visualize and step through agent execution in real time.
Core Capabilities
- ✓YAML-based agent definitions — declarative configuration of behavior, tools, triggers, and context windows.
- ✓Multiple execution patterns — ReAct (Reasoning + Acting), Plan-and-Retrieve, SOSI, and graph-based workflows.
- ✓Graph workflow engine — visual, node-based agent pipelines with branching, conditions, and sub-workflows.
- ✓Interactive debugger — set breakpoints, step through nodes, inspect state at every stage of agent execution.
- ✓Trigger system — configure agents to activate on @mentions, keywords, question patterns, or events.
- ✓Trace logging — full THOUGHT/ACTION/OBSERVATION/ANSWER traces for every agent interaction.
The Bigger Picture
Building reliable agents requires more than a prompt and a prayer. AgentFactory gives engineers the same debugging and testing rigor for AI agents that they expect for traditional software — visual workflows, breakpoints, step-through execution, and complete observability.
Production Execution Engine
AgentRunner is the worker that executes agents in production. It provides a comprehensive tool registry, sandboxed execution environments, database connectivity, and integrations with specialized systems — from KNIME workflow analysis to constraint solvers. Agents don’t just chat; they do real work.
Core Capabilities
- ✓Tool registry — extensible catalog of tools with parameter schemas, organized by toolkit (sandbox, JDBC, planning, Excel, KNIME, etc.).
- ✓Sandboxed execution — bash, file I/O, and code execution with timeouts, file size limits, and isolation.
- ✓Database tools — query execution, schema introspection, normalization analysis across relational and embedded databases.
- ✓Specialized toolkits — Excel analysis, KNIME workflow introspection, PDDL planning, CP-SAT constraint solving, static code analysis.
- ✓Environment-aware — agents receive tool access scoped to their assigned environments (sandbox, JDBC, knowledge base).
- ✓Asynchronous execution — parallel tool calls with result caching and structured error handling.
The Bigger Picture
AgentRunner turns conversational AI into operational AI. Agents don’t just recommend actions — they execute queries, analyze spreadsheets, inspect workflows, solve optimization problems, and write code. All governed, all auditable, all within the ConnectSphere security perimeter.
Document Management & Intelligent Retrieval
The Knowledge Base provides structured document management with intelligent search for agents and humans. Ingest PDFs, Markdown, and other documents; automatically chunk them into semantically meaningful sections; and make them searchable via BM25 full-text and embedding-based semantic search.
Core Capabilities
- ✓Multi-format ingestion — PDF (with font-aware structure detection), Markdown, and extensible parsers.
- ✓Semantic chunking — intelligent document splitting that preserves section boundaries and context.
- ✓Dual search — BM25 full-text ranking combined with embedding-based semantic similarity.
- ✓Agent-integrated tools — SearchKnowledge, SearchSections, GetDocumentOutline, GetChunkContext available as agent tools.
- ✓Dataset management — organize documents into collections, manage metadata, track enrichment status.
- ✓Font-aware PDF parsing — detect headings, sections, and structure from font profiles for better chunking.
The Bigger Picture
Knowledge bases are the memory layer for intelligent agents. Unlike generic RAG pipelines built on dirty data, ConnectSphere’s Knowledge Base operates on governed, sovereign document collections — giving agents reliable retrieval that compliance teams can audit.
From Creation to Production
AgentHub
Slack for Agents and Humans
AgentFactory
Create, Test & Debug Agents
AgentRunner
Production Execution Engine
Knowledge Base
Document Management & Intelligent Retrieval
Define agents in AgentFactory. Ground them in Knowledge Base data. Deploy them via AgentRunner. Coordinate everything through AgentHub. All running on mathematically clean truth data, governed by enterprise security.
Ready to deploy AI agents that your compliance team will approve?
See how AgentHub, AgentFactory, AgentRunner, and Knowledge Base work together on your data landscape.
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