livecontext-ce

Source#

• Repository: livecontext-ai/livecontext-ce
• Last source update: 2026-08-08
• Last verified: 2026-08-09

Tags#

Integration notes#

Repository is focused on tool/server interoperability; wrap in bounded worker contracts for production use.

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: livecontext-ce-repo-derived-worker
name: livecontext-ce Repo-Derived Worker
version: 1.0.0
source_registry_url: https://worker.md/registry/livecontext-ce/
source_repository: https://github.com/livecontext-ai/livecontext-ce
repository_default_branch: main
repository_language: Java
repository_license: AGPL-3.0
repository_updated_at: 2026-08-08
worker_mode: workflow-automation-worker
derivation_method: github_repository_metadata_plus_raw_readme
derivation_confidence: 0.9
derived_on: 2026-08-09
tags:
  - agent-framework
  - agents
  - ai
  - ai-agents
  - ai-automation
  - automation
---

# livecontext-ce Repo-Derived Worker

## Repo-derived summary
- Registry summary: The AI automation platform, self-hosted. Describe the job in chat and LiveContext builds it: readable workflows, scoped AI agents, and small apps your team uses. Chat, Workflow, Agent and App on on...
- Repository description: The AI automation platform, self-hosted. Describe the job in chat and LiveContext builds it: readable workflows, scoped AI agents, and small apps your team uses. Chat, Workflow, Agent and App on one canvas.
- Stars (snapshot): 204
- Primary language: Java
- Worker mode classification: workflow-automation-worker

## Extracted from
- https://github.com/livecontext-ai/livecontext-ce
- https://github.com/livecontext-ai/livecontext-ce/blob/main/README.md
- https://img.shields.io/github/stars/livecontext-ai/livecontext-ce?style=flat&logo=github&color=e11d48
- https://img.shields.io/github/v/release/livecontext-ai/livecontext-ce?color=16a34a
- https://img.shields.io/github/discussions/livecontext-ai/livecontext-ce?color=2496ED

## Evidence notes (from repository text)
- README summary paragraph: **The AI automation platform.** One message in, a working automation out.
- **The AI automation platform.** One message in, a working automation out.
- Describe the job in chat and LiveContext builds it in front of you: a workflow you can read,
- AI agents with scoped access and budgets you control, and a small app your team actually uses.
- Chat, Workflow, Agent and App in one self-hosted platform. No code to write, nothing to stitch together.
- **An open-source, self-hosted alternative to n8n, Zapier and Make, with AI agents built in.**

## Installation hints found in README
- No explicit package installation command detected in README text.

## 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: livecontext-ce-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/livecontext-ce/

Source URL: https://github.com/livecontext-ai/livecontext-ce