agent_blueprint.md

AGENT BLUEPRINT --- Persistent Cognitive Agent OS

Version

v1.0

Objective

Build a persistent, autonomous, permissioned AI agent system capable of planning, executing, learning, and evolving safely.

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1. SYSTEM PRINCIPLES

Core Loop

observe → retrieve → plan → act → verify → learn → store

Design Rules

• No uncontrolled execution
• All actions must be verifiable
• Memory must be structured and pruned
• Learning must be validated
• Every action must be logged

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2. SYSTEM ARCHITECTURE

Modules

• Brain Core
• Memory Core
• Execution Core
• Learning Core
• Connector Core
• Scheduler
• UI Canvas Core (Phase 2+)

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3. DATABASE DESIGN

tasks

• id
• goal
• status
• parent_task_id
• created_at
• updated_at

steps

• id
• task_id
• action
• status
• result

memories

• id
• content
• type
• embedding
• score

logs

• id
• task_id
• action
• result
• timestamp

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4. CORE FEATURES (MVP)

• Task system
• Brain loop
• Tool system (browser, terminal, file)
• Memory (embedding + retrieval)
• Scheduler

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5. EXECUTION MILESTONES

Phase 1 --- Foundation

• Task system
• API
• Brain loop

Phase 2 --- Execution

• Browser automation
• Terminal execution
• File operations

Phase 3 --- Memory

• Storage
• Embeddings
• Retrieval

Phase 4 --- Scheduler

• Delays
• Recurring tasks
• Retry logic

Phase 5 --- Integration

• Full pipeline

Phase 6 --- Connectors

• WhatsApp
• Gmail
• Telegram

Phase 7 --- Learning

• skill.md loader
• validation

Phase 8 --- UI

• Dynamic canvas
• Movable elements
• Theme engine

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6. TESTING STRATEGY

• Unit tests
• Integration tests
• Simulation tests
• Regression tests

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7. SAFETY

• Permission control
• Action preview
• Audit logs
• Limits and anomaly detection

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8. SUCCESS CRITERIA

• Completes tasks end-to-end
• Resumes after interruption
• Improves over time
• Avoids repeated failures