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[Feature Request] Please add Per-Agent memory panel — view/edit skill files in chat

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Evaluación

Dificultad
5/5
Tiempo estimado
Más de una semana
Aptitud para principiantes
38/100
Tipo de issue
Nueva funcionalidad
Claridad
Bastante claro
Estado de actividad
Activo
Stack tecnológico
typescript
Área
frontend

Línea de trabajo

Comienza en la interfaz de chat y sigue cómo se representan el Agent seleccionado, el archivo de skill o de instrucciones y el registro de auditoría existente. Define conjuntamente el panel, la edición en línea, la validación, el historial de versiones, los controles de acceso y la aplicación en la próxima ejecución; se considera terminado cuando los siete criterios de aceptación funcionan sin cambiar las concesiones ni habilitar la ejecución de código arbitrario.

Escrito por el modelo de indexación a partir del texto del issue.

Descripción

Problem

OpenBot has persistent coworkers, per-Agent computers, governed tool use, and auditability, but it lacks a visible, editable panel for an Agent's skill/instruction files alongside the chat interface.

For users managing multiple Agents with different roles (e.g., newsletter orchestrator, site monitor, research assistant), there is no way to quickly view or edit an Agent's skill file (e.g., SKILL.md-equivalent config) without leaving the chat or editing YAML directly. This makes it harder to refine Agent behavior iteratively or audit what instructions an Agent is operating under.

Feature request

Add Per-Agent memory panel — a viewable, editable panel next to the chat that surfaces an Agent's skill/instruction file. This should be a UI-layer feature, not a new learning infrastructure.

Proposed behaviour

  • Show a collapsible panel next to the chat displaying the Agent's current skill/instruction file.
  • Allow editing the skill file inline, with syntax highlighting for Markdown/YAML.
  • Save edits immediately and apply them to the next run (no reload required).
  • Show version history (last N edits) with timestamps and author.
  • Support optional diff view to compare current vs. previous versions.
  • Preserve all governance settings (grants, policies) — editing the skill file does not change grants.

Required controls

  • Disabled by default; enabled per Agent.
  • Panel scope: per-Agent, visible only to users with access to that Agent.
  • Immutable audit log showing when a skill file was viewed, edited, or reverted.
  • Review, edit, and revert controls for skill file changes.
  • Clear separation between skill file content and runtime state (no arbitrary code execution from edits).
  • Never automatically grant additional tools or permissions on edit — grants are unchanged.
  • Configurable version history retention (e.g., keep last 50 edits).

Why this matters

This would make OpenBot more competitive for users managing multiple Agents with distinct roles while preserving its core advantages: per-Agent isolation, gateway policy enforcement, and action-level auditability. It would be particularly useful for a self-hosted team that wants to refine Agent instructions iteratively (e.g., "add this checklist to the newsletter Agent") without recreating the entire configuration.

Acceptance criteria

  1. A user can view an Agent's skill/instruction file in a panel next to the chat.
  2. A user can edit the skill file inline and save changes.
  3. Edits are applied to the next run without requiring a reload.
  4. Version history shows the last N edits with timestamps and authors.
  5. All skill file views/edits appear in the existing audit trail.
  6. Invalid skill file edits are rejected with clear error messages.
  7. Edited skill files respect the Agent's existing grant boundaries.

Suggested name

Agent Memory Panel or Editable Skill Files

Lenguaje dominante
TypeScript
Estrellas
6.6k
Forks
914
Merge medio
19 h 22 min
PR fusionados (30 d)
140

Preparar el entorno

  • Incluye un Dockerfile o un archivo de Docker Compose
  • Tiene una plantilla de pull request
  • Sin guía de contribución

Primeros pasos

  1. Lee el issue completo y luego la guía de contribución del proyecto.
  2. Comenta en el issue que vas a ocuparte — evita que dos personas hagan lo mismo.
  3. Haz un fork del repositorio y trabaja en una rama.
  4. Abre un pull request que haga referencia al número del issue.

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