agentelic.com agentelic.com/docs/index.md
Welcome to the documentation hub for Agentelic — a premium, enterprise-grade agent builder that brings software engineering discipline to AI agent development.

Agentelic Documentation

Build agents like software. Spec-driven. Tested. Deployed.

Part of the [&] Protocol stack · Ecosystem overview · Three-protocol stack · Stack status

Welcome to the documentation hub for Agentelic — a premium, enterprise-grade agent builder that brings software engineering discipline to AI agent development.

Agentelic targets the engineering teams that need to ship reliable agents to production — with versioned specs, deterministic testing, staged rollouts, and compliance gates. While the market is flooded with no-code agent builders optimized for demos, Agentelic is optimized for production.

What Agentelic Does

Agentelic is the engineering layer of the [&] Protocol ecosystem:

SpecPrompt (Standards)    → defines agent behavior as versioned specs
    ↓
Agentelic (Engineering)   → builds, tests, deploys agents against specs  ← THIS
    ↓
OpenSentience (Runtime)   → governs, executes, observes agents locally
    ↓
Graphonomous (Memory)     → continual learning knowledge graphs
    ↓
FleetPrompt (Distribution) · Delegatic (Orchestration)

Key capabilities:

  • Spec-driven builds — Every agent starts from a SpecPrompt specification.

Parse, generate, compile, and package in one pipeline.

  • Deterministic testing — Tests are derived from acceptance criteria, not

hand-written. Mocked tool calls, output validation, regression suites.

  • Staged deployment — Staging → canary → production with permission review

gates and compliance checks.

  • MCP tool surface — The entire build pipeline is exposed as MCP tools for

AI-assisted agent development.

Documentation Map

Homepages

Root Docs

Agentelic Docs

Architecture at a Glance

ComponentRole
Agentelic StudioWeb UI — spec editor, test runner, deploy console
Build PipelineSpec parse → code generate → compile → package
Testing FrameworkDeterministic scenarios, mocked tools, regression suites
Deployment EngineStaging → canary → production with governance gates
OpenSentience RuntimeAgent execution, governance, audit
Graphonomous MemoryContinual learning knowledge graphs

MCP Tools

ToolDescription
agent_createCreate a new agent from a SPEC.md and ampersand.json
agent_buildParse spec → generate code → compile → produce artifact
agent_testRun deterministic tests derived from acceptance criteria
agent_deployDeploy to staging/canary/production with governance
agent_statusFull agent status summary
spec_validateValidate SPEC.md against SpecPrompt grammar
test_explainExplain why a specific test passed/failed

Ecosystem Integration

ProductHow Agentelic Uses It
SpecPromptSpecs are the primary input to the build pipeline
OpenSentienceAgents deploy to OpenSentience runtime via manifest packaging
GraphonomousAgents connect for continual learning; memory grows with production use
FleetPromptTested agents can be published to the marketplace
DelegaticMulti-agent orchestration specs define agent roles and handoffs

Project Links

[&] Ampersand Box Design — agentelic.com

Open in the interactive atlas