eve-agentic-app-design

Original：🇺🇸 English

Translated

Layer agentic capabilities onto a full-stack Eve app — agents, teams, multi-model inference, memory, events, chat, and coordination. Use when designing an app where agents are primary actors, not afterthoughts.

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Sourceincept5/eve-skillpacks

Added on2026-02-16

NPX Install

npx skill4agent add incept5/eve-skillpacks eve-agentic-app-design

SKILL.md Content

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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:

eve-agent-native-design
— Principles (parity, granularity, composability, emergent capability)
eve-fullstack-app-design
— PaaS foundation (manifest, services, DB, pipelines, deploys)
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.

yaml

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:

Decision	Options	Guidance
Slug	Lowercase, alphanumeric + dashes	Org-unique. Used for chat routing: `@eve coder fix the login bug`
Skill	Any installed skill name	The agent's core competency. One skill per agent.
Harness profile	Named profile from manifest	Decouples agent from specific models. Use profiles, never hardcode harnesses.
Gateway policy	`none` , `discoverable` , `routable`	Default to `none` . Make `routable` only for agents that should receive direct chat.
Permission policy	`default` , `auto_edit` , `never` , `yolo`	Start with `auto_edit` for worker agents. Use `default` for agents that need human approval.
Git policies	`commit` , `push`	`auto` commit + `on_success` push for coding agents. `never` for read-only agents.

Designing Teams

Teams are defined in

teams.yaml

. A team groups agents under a lead with a dispatch strategy.

yaml

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:

Mode	When to Use	How It Works
`fanout`	Independent parallel work	Root job + parallel child per member. Best for decomposable tasks.
`council`	Collective judgment	All agents respond, results merged by strategy (majority, unanimous, lead-decides). Best for reviews, audits.
`relay`	Sequential handoff	Lead delegates to first member, output passes to next. Best for staged workflows.

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.

yaml

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

Task Type	Profile Strategy
Complex coding, architecture	High-reasoning model (opus, gpt-5.2-codex)
Code review, documentation	Medium-reasoning model (sonnet, gemini)
Triage, routing, classification	Fast model (haiku-equivalent, low reasoning)
Specialized domains	Choose the model with strongest domain performance

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

Information Type	Storage Primitive	Why
Scratch notes during a job	Workspace files ( `.eve/` )	Ephemeral, dies with the job
Job outputs passed to parent	Job attachments	Survives job completion, addressable by job ID
Rolling conversation context	Threads	Continuity across sessions, summarizable
Curated knowledge	Org Document Store	Versioned, searchable, shared across projects
File trees and assets	Org Filesystem (sync)	Bidirectional sync, local editing
Structured queries	Managed database	SQL, relationships, RLS
Reusable workflows	Skills	Highest-fidelity long-term memory

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:

Who writes? Which agents create and update this knowledge.
Who reads? Which agents query it and when (job start? on demand?).
When does it expire? Tag with creation dates. Build periodic cleanup jobs.
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

Trigger	Event	Response
Code pushed to main	`github.push`	Run CI pipeline
PR opened	`github.pull_request`	Run review council
Deploy pipeline failed	`system.pipeline.failed`	Run self-healing workflow
Job failed	`system.job.failed`	Run diagnostic agent
Org doc created	`system.doc.created`	Notify subscribers, update indexes
Scheduled maintenance	`cron.tick`	Run audit, cleanup, reporting
Custom app event	`app.*`	Application-specific automation

Self-Healing Pattern

Wire system failure events to recovery pipelines:

yaml

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:

bash

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:

Provider	Transport	Best For
Slack	Webhook	Team collaboration, existing Slack workspaces
Nostr	Subscription	Decentralized, privacy-focused, censorship-resistant
WebChat	WebSocket	Browser-native, embedded in your app

Routing Design

Define routes in

chat.yaml

to map inbound messages to agents or teams:

yaml

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

Approach	When to Use
Gateway provider (WebSocket to Eve)	Simple chat widgets, admin consoles, no backend needed
Backend-proxied ( `POST /internal/orgs/:id/chat/route` )	Production SaaS, when you need to intercept, enrich, or store conversations

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:

bash

# 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:

bash

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:

bash

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:

yaml

# .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	Use Case
`default`	Interactive agents that need human approval for risky actions
`auto_edit`	Worker agents that edit code and files autonomously
`never`	Read-only agents (auditors, reviewers)
`yolo`	Fully autonomous agents in controlled environments (use carefully)

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
```

eve-agentic-app-design

NPX Install

Tags

SKILL.md Content

Agentic App Design on Eve Horizon

When to Use

Prerequisite: Start with the Foundation

Agent Architecture

Defining Agents

Designing Teams

Multi-Model Inference

Harness Profiles

Model Selection Guidance

Managed Models

Local Inference

Memory Design

What Goes Where

Namespace Conventions

Lifecycle Strategy

Event-Driven Coordination

The Event Spine

Trigger Patterns

Self-Healing Pattern

Custom App Events

Chat and Human-Agent Interface

Gateway Architecture

Routing Design

Gateway vs Backend-Proxied Chat

Thread Continuity

Jobs as Coordination Primitive

Parent-Child Orchestration

Structured Context via Attachments

Resource Refs for Document Mounting

Coordination Threads

Access and Security

Service Accounts

Access Groups

Agent Permission Policies

Policy-as-Code

The Agentic Checklist

Cross-References