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| name: second_brain_env | |
| version: "1.0.0" | |
| description: > | |
| A Personal Knowledge Management environment where AI agents learn to | |
| capture, organize, and retrieve information — simulating the real-world | |
| challenge of managing a second brain. Three tasks of increasing difficulty: | |
| note categorization (easy), memory retrieval (medium), and knowledge | |
| synthesis (hard). | |
| author: RAc1928 | |
| tags: | |
| - openenv | |
| - knowledge-management | |
| - information-retrieval | |
| - real-world | |
| - nlp | |
| tasks: | |
| - name: note_categorization | |
| difficulty: easy | |
| description: Categorize 10 raw notes into correct categories (work/personal/reference/action_item) | |
| max_steps: 12 | |
| reward_range: [-0.02, 0.10] | |
| success_threshold: 0.5 | |
| - name: memory_retrieval | |
| difficulty: medium | |
| description: Retrieve the most relevant note from a 30-note knowledge base for each of 5 questions | |
| max_steps: 15 | |
| reward_range: [-0.10, 0.20] | |
| success_threshold: 0.5 | |
| - name: knowledge_synthesis | |
| difficulty: hard | |
| description: Collect and synthesize insights from a 50-note knowledge base to answer complex multi-theme questions | |
| max_steps: 20 | |
| reward_range: [-0.10, 0.35] | |
| success_threshold: 0.5 | |
| action_space: | |
| type: SecondBrainAction | |
| fields: | |
| action_type: | |
| type: string | |
| enum: [categorize, retrieve, synthesize, tag, skip] | |
| content: | |
| type: string | |
| description: Category name / search query / synthesized answer | |
| note_id: | |
| type: string | |
| optional: true | |
| tags: | |
| type: array | |
| items: string | |
| optional: true | |
| observation_space: | |
| type: SecondBrainObservation | |
| fields: | |
| current_note: | |
| type: object | |
| optional: true | |
| query: | |
| type: string | |
| optional: true | |
| retrieved_notes: | |
| type: array | |
| optional: true | |
| knowledge_base_size: | |
| type: integer | |
| step_count: | |
| type: integer | |
| task_name: | |
| type: string | |
| reward: | |
| type: float | |
| done: | |
| type: boolean | |
| score: | |
| type: float | |
| description: Running normalized score in [0.0, 1.0] | |
| feedback: | |
| type: string | |
| valid_categories: | |
| type: array | |
| items: string | |
| remaining_items: | |
| type: integer | |
| environment: | |
| type: http | |
| framework: fastapi | |
| dockerfile: Dockerfile | |
| port: 8000 | |
| endpoints: | |
| reset: POST /reset | |
| step: POST /step | |
| state: GET /state | |
| tasks: GET /tasks | |
| health: GET /health |