Agentic App Design on Eve Horizon

Transform a full-stack app into one where agents are primary actors — reasoning, coordinating, remembering, and communicating alongside humans.

When to Use

Load this skill when:

• Designing an app where agents are primary users alongside (or instead of) humans
• Adding agent capabilities to an existing Eve app
• Choosing between human-first and agent-first architecture
• Deciding how agents should coordinate, remember, and communicate
• Planning multi-model inference strategy

Prerequisite: Start with the Foundation

Load eve-fullstack-app-design first. The agentic layer builds on a solid PaaS foundation. Without a well-designed manifest, service topology, database, pipeline, and deployment strategy, agentic capabilities collapse into chaos.

The progression:

1. eve-agent-native-design — Principles (parity, granularity, composability, emergent capability)
2. eve-fullstack-app-design — PaaS foundation (manifest, services, DB, pipelines, deploys)
3. This skill — Agentic layer (agents, teams, inference, memory, events, chat, coordination)

Each layer assumes the previous. Skip none.

Agent Architecture

Defining Agents

Agents are defined in agents.yaml (path set via x-eve.agents.config_path in the manifest). Each agent is a persona with a skill, access scope, and policies.

version: 1
agents:
  coder:
    slug: coder
    description: "Implements features and fixes bugs"
    skill: eve-orchestration
    harness_profile: primary-coder
    access:
      envs: [staging]
      services: [api, worker]
    policies:
      permission_policy: auto_edit
      git:
        commit: auto
        push: on_success
    gateway:
      policy: routable

Design decisions for each agent:

Designing Teams

Teams are defined in teams.yaml. A team groups agents under a lead with a dispatch strategy.

version: 1
teams:
  review-council:
    lead: mission-control
    members: [code-reviewer, security-auditor]
    dispatch:
      mode: council
      merge_strategy: majority
  deploy-ops:
    lead: ops-lead
    members: [deploy-agent, monitor-agent]
    dispatch:
      mode: relay

Choose the right dispatch mode:

Design principle: Most work is fanout. Use council only when multiple perspectives genuinely improve the outcome. Use relay only when each stage’s output is the next stage’s input.

Multi-Model Inference

Harness Profiles

Define named profiles in the manifest. Agents reference profiles, never specific harnesses.

x-eve:
  agents:
    profiles:
      primary-coder:
        - harness: claude
          model: opus-4.5
          reasoning_effort: high
        - harness: codex
          model: gpt-5.2-codex
          reasoning_effort: high
      fast-reviewer:
        - harness: mclaude
          model: sonnet-4.5
          reasoning_effort: medium

Profile entries are a fallback chain: if the first harness is unavailable, the next is tried. Design profiles around capability needs, not provider loyalty.

Model Selection Guidance

Managed Models

Use managed models (managed/<name>) for org-wide or project-wide model policies. The registry merges across scopes: platform <- org <- project.

Local Inference

For development and cost-sensitive tasks, configure local inference via Ollama targets. Use route policies to direct specific agent types to local models.

Memory Design

Load eve-agent-memory for the full storage primitive catalog. This section focuses on architectural decisions.

What Goes Where

Namespace Conventions

Organize org docs by agent and purpose:

/agents/{agent-slug}/learnings/      — discoveries and patterns
/agents/{agent-slug}/decisions/      — decision records
/agents/{agent-slug}/runbooks/       — operational procedures
/agents/shared/                      — cross-agent shared knowledge
/projects/{project-slug}/            — project-scoped knowledge

Lifecycle Strategy

Memory without expiry becomes noise. For every storage location, decide:

1. Who writes? Which agents create and update this knowledge.
2. Who reads? Which agents query it and when (job start? on demand?).
3. When does it expire? Tag with creation dates. Build periodic cleanup jobs.
4. How does it stay current? Search before writing. Update beats create.

Event-Driven Coordination

The Event Spine

Events are the nervous system of an agentic app. Use them for reactive automation — things that should happen in response to other things.

Trigger Patterns

Self-Healing Pattern

Wire system failure events to recovery pipelines:

pipelines:
  self-heal:
    trigger:
      system:
        event: job.failed
        pipeline: deploy
    steps:
      - name: diagnose
        agent:
          prompt: "Diagnose the failed deploy and suggest a fix"

Custom App Events

Emit application-specific events from your services:

eve event emit --type app.invoice.created --source app --payload '{"invoice_id":"inv_123"}'

Wire these to workflows or pipelines in the manifest. Design your app’s event vocabulary intentionally — events are the API between your app logic and your agent automation.

Chat and Human-Agent Interface

Gateway Architecture

Eve supports multiple chat providers through a unified gateway:

Routing Design

Define routes in chat.yaml to map inbound messages to agents or teams:

version: 1
default_route: route_default
routes:
  - id: deploy-route
    match: "deploy|release|ship"
    target: agent:deploy-agent
  - id: review-route
    match: "review|PR|pull request"
    target: team:review-council
  - id: route_default
    match: ".*"
    target: agent:mission-control

Route targets can be agent:<key>, team:<key>, workflow:<name>, or pipeline:<name>.

Gateway vs Backend-Proxied Chat

If your app needs to add context, filter messages, or maintain its own chat history — proxy through your backend.

Thread Continuity

Chat threads maintain context across messages. Thread keys are scoped to the integration account. Design your chat UX to preserve thread context — agents are dramatically more effective when they can reference conversation history.

Jobs as Coordination Primitive

Parent-Child Orchestration

Jobs are the fundamental unit of agent work. Design complex workflows as job trees:

Parent (orchestrator)
├── Child A (research)
├── Child B (implementation)
└── Child C (testing)

The parent dispatches, waits, resumes, synthesizes. Children execute independently. Use waits_for relations to express dependencies. See eve-orchestration for full patterns.

Structured Context via Attachments

Pass structured data between agents using job attachments, not giant description strings:

# Child stores findings
eve job attach $EVE_JOB_ID --name findings.json --content '{"patterns": [...]}'

# Parent reads on resume
eve job attachment $CHILD_JOB_ID findings.json --out ./child-findings.json

Resource Refs for Document Mounting

Pin specific org document versions as job inputs:

eve job create \
  --description "Review the approved plan" \
  --resource-refs='[{"uri":"org_docs:/pm/features/FEAT-123.md@v3","label":"Plan","mount_path":"pm/plan.md"}]'

The document is hydrated into the workspace at the mount path. Events track hydration success or failure.

Coordination Threads

When teams dispatch work, a coordination thread (coord:job:{parent_job_id}) links parent and children. Children read .eve/coordination-inbox.md for sibling context. Post updates via eve thread post. The lead agent can eve supervise to monitor the job tree.

Access and Security

Service Accounts

Backend services need non-user tokens for API calls. Use eve auth mint to create scoped tokens:

eve auth mint --email app-bot@example.com --project proj_xxx --role admin

Design each service account with minimal necessary scope.

Access Groups

Segment data-plane access using groups. Groups control who can read/write org docs, org filesystem paths, and database schemas:

# .eve/access.yaml
version: 2
access:
  groups:
    eng-team:
      name: Engineering
      members:
        - type: user
          id: user_abc
  bindings:
    - subject: { type: group, id: eng-team }
      roles: [data-reader]
      scope:
        orgdocs: { allow_prefixes: ["/agents/shared/"] }
        envdb: { schemas: ["public"] }

Sync with eve access sync --file .eve/access.yaml --org org_xxx.

Agent Permission Policies

Policy-as-Code

Declare all access in .eve/access.yaml and sync declaratively. This ensures access is version-controlled, reviewable, and reproducible. See eve-auth-and-secrets for the full v2 policy schema.

The Agentic Checklist

Agent Architecture:

• Agents defined in agents.yaml with clear slug, skill, and profile
• Teams defined in teams.yaml with appropriate dispatch modes
• Gateway policies set intentionally (not everything routable)
• Chat routes defined for inbound message handling

Inference:

• Harness profiles defined in manifest (agents reference profiles, not harnesses)
• Fallback chains in profiles for resilience
• Model choice matches task complexity

Memory:

• Storage primitive chosen for each information type (see table above)
• Namespace conventions established for org docs
• Lifecycle and expiry strategy defined
• Agents search before writing (update beats create)

Events:

• Trigger patterns wired for key events (push, PR, failures)
• Self-healing pipeline exists for deploy and job failures
• Custom app events defined for domain-specific automation

Chat:

• Gateway provider chosen (Slack, Nostr, WebChat, or multiple)
• Chat routing configured (chat.yaml)
• Gateway vs backend-proxied decision made
• Thread continuity preserved in UX

Coordination:

• Complex work decomposed as job trees (parent-child)
• Attachments used for structured context passing
• Coordination threads used for team communication
• Resource refs used for document mounting

Security:

• Service accounts created for backend services
• Access groups defined for data-plane segmentation
• Agent permission policies appropriate to each agent’s role
• Access policy declared as code (.eve/access.yaml)

The Real Test — Is This App Truly Agent-Native?

• Agents can do everything users can (parity)
• Adding capability means writing prompts, not code (composability)
• Agents coordinate through platform primitives, not custom glue (granularity)
• Agents have surprised you with unexpected solutions (emergent capability)

Cross-References

• Principles: eve-agent-native-design — parity, granularity, composability, emergent capability
• PaaS foundation: eve-fullstack-app-design — manifest, services, DB, pipelines, deploys
• Storage primitives: eve-agent-memory — detailed guidance on each memory primitive
• Job orchestration: eve-orchestration — depth propagation, parallel decomposition, control signals
• Agents and teams reference: eve-read-eve-docs → references/agents-teams.md
• Harness execution: eve-read-eve-docs → references/harnesses.md
• Chat gateway: eve-read-eve-docs → references/gateways.md
• Events and triggers: eve-read-eve-docs → references/events.md