ekko-studio
Ekko Studio is a local-first AI workspace for multi-agent chat, coding, and visual workflows, available on desktop and the web.
Source#
- Repository: EKKOLearnAI/ekko-studio
- Last source update: 2026-10-11
- Last verified: 2026-10-11
Tags#
Integration notes#
Repository is workflow-oriented; map each workflow step to explicit worker contracts for predictability.
worker.md example#
Starter worker.md contract mapped from this registry entry. Copy this file and adapt schemas, constraints, and statuses for your task.
---
id: ekko-studio-repo-derived-worker
name: ekko-studio Repo-Derived Worker
version: 1.0.0
source_registry_url: https://worker.md/registry/ekko-studio/
source_repository: https://github.com/EKKOLearnAI/ekko-studio
repository_default_branch: main
repository_language: TypeScript
repository_license: NOASSERTION
repository_updated_at: 2026-10-11
worker_mode: workflow-automation-worker
derivation_method: github_repository_metadata_plus_raw_readme
derivation_confidence: 0.95
derived_on: 2026-10-11
tags:
- agent
- ai-agent
- chat-ui
- coding-agents
- dashboard
- ekko-studio
---
# ekko-studio Repo-Derived Worker
## Repo-derived summary
- Registry summary: Ekko Studio is a local-first AI workspace for multi-agent chat, coding, and visual workflows, available on desktop and the web.
- Repository description: Ekko Studio is a local-first AI workspace for multi-agent chat, coding, and visual workflows, available on desktop and the web.
- Stars (snapshot): 11,355
- Primary language: TypeScript
- Worker mode classification: workflow-automation-worker
## Extracted from
- https://github.com/EKKOLearnAI/ekko-studio
- https://github.com/EKKOLearnAI/ekko-studio/blob/main/README.md
- https://github.com/EKKOLearnAI/ekko-studio/releases/latest
## Evidence notes (from repository text)
- README summary paragraph: A local-first AI workspace for multi-agent chat, coding, and visual workflows. Available as a desktop app and self-hosted web console, with support for Hermes Agent , Ekko Agent, and 14 coding-agent integrations, including Claude Code and Codex. Bring conversations, group collaboration, voice, files, and devices together in one place.
- A local-first AI workspace for multi-agent chat, coding, and visual workflows.
- Hermes Agent , Ekko Agent, and 14 coding-agent integrations, including Claude Code and Codex.
- Captured from the **v0.7.33** client on 2026-10-10. Chat, workflows, and Skills use demo data; Agent versions reflect a local installation. See [capture notes](./docs/screenshots/overview/README.md).
- | Connect agent steps and add a human approval gate. | Manage agent installations, settings, and updates in one place. |
- 
## Installation hints found in README
- `pip install hermes-agent`.`
- `npm install -g ekko-studio && ekko-studio-web start</code>`
- `npm installations discover an existing Hermes installation. |`
- `npm installation through Agent Manager. |`
## worker.md contract (derived starter)
Purpose: Execute one automation workflow step in a bounded worker run.
### Input schema
```json
{
"type": "object",
"additionalProperties": false,
"required": [
"run_id",
"trigger",
"step"
],
"properties": {
"run_id": {
"type": "string"
},
"trigger": {
"type": "object"
},
"step": {
"type": "string"
}
}
}
```
### Output schema
```json
{
"type": "object",
"additionalProperties": false,
"required": [
"run_id",
"step",
"status",
"artifacts"
],
"properties": {
"run_id": {
"type": "string"
},
"step": {
"type": "string"
},
"status": {
"type": "string",
"enum": [
"ok",
"retryable_error",
"invalid_request",
"invalid_output"
]
},
"artifacts": {
"type": "array"
}
}
}
```
### Constraints
- timeout_seconds: 30
- max_attempts: 2
- idempotency_key: run_id
- status_enum: [ok, retryable_error, invalid_request, invalid_output]
- notes: adapt to concrete APIs/classes documented in this repository before production use
## How this should be used
1. Treat this file as a repo-derived starter profile, not a claim of an official repository API contract.
2. Replace schemas with exact interfaces from code/docs you adopt.
3. Keep execution bounded and auditable using worker protocol constraints.
How to use#
- Save this as a worker spec file (for example:
ekko-studio-my-task.worker.md). - Replace the input/output schemas and purpose with your real bounded task.
- Enforce schema validation + timeout + retry policy in your runtime before production use.
Citation#
Reference URL: https://worker.md/registry/ekko-studio/
Source URL: https://github.com/EKKOLearnAI/ekko-studio