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.
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.
Homepages
Root Docs
Agentelic Docs
| Component | Role |
|---|---|
| Agentelic Studio | Web UI — spec editor, test runner, deploy console |
| Build Pipeline | Spec parse → code generate → compile → package |
| Testing Framework | Deterministic scenarios, mocked tools, regression suites |
| Deployment Engine | Staging → canary → production with governance gates |
| OpenSentience Runtime | Agent execution, governance, audit |
| Graphonomous Memory | Continual learning knowledge graphs |
| Tool | Description |
|---|---|
agent_create | Create a new agent from a SPEC.md and ampersand.json |
agent_build | Parse spec → generate code → compile → produce artifact |
agent_test | Run deterministic tests derived from acceptance criteria |
agent_deploy | Deploy to staging/canary/production with governance |
agent_status | Full agent status summary |
spec_validate | Validate SPEC.md against SpecPrompt grammar |
test_explain | Explain why a specific test passed/failed |
| Product | How Agentelic Uses It |
|---|---|
| SpecPrompt | Specs are the primary input to the build pipeline |
| OpenSentience | Agents deploy to OpenSentience runtime via manifest packaging |
| Graphonomous | Agents connect for continual learning; memory grows with production use |
| FleetPrompt | Tested agents can be published to the marketplace |
| Delegatic | Multi-agent orchestration specs define agent roles and handoffs |
Spec: Technical Specification
User stories: Agentelic User Stories
Build prompt: Agentelic Implementation Build Prompt
[&] Protocol ecosystem: AmpersandBoxDesign/
[&] Ampersand Box Design — agentelic.com