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SIF AI Agents Team - Architecture & Capabilities
Last Updated: 2025-03-01 Component: Semantic Intelligence Framework (SIF) Agents
🧠 Executive Summary
The SIF Agents Team is a multi-agent system built on top of the Semantic Intelligence Framework (SIF). Unlike generic AI assistants, these agents are "grounded" in a shared semantic index (txtai) containing the user's content, competitor data, and search console metrics.
Each agent acts as a specialized "Department Head," continuously monitoring the index to surface insights, propose tasks, and execute workflows autonomously.
🏗️ Architecture
The "Committee" Model
Instead of a single "God Mode" AI, we use a committee of specialized agents orchestrated by a central Manager.
graph TD
A[User / Dashboard] -->|Requests| B(Orchestrator)
B -->|Delegates| C[Strategy Architect]
B -->|Delegates| D[Content Strategist]
B -->|Delegates| E[SEO Specialist]
B -->|Delegates| F[Social Manager]
B -->|Delegates| G[Competitor Analyst]
C & D & E & F & G -->|Reads/Writes| H[(SIF Semantic Index)]
H -->|Syncs| I[Google Search Console]
H -->|Syncs| J[Competitor Content]
Shared Brain (SIF Index)
All agents share the same memory (the SIF Index).
- Example: If the Competitor Analyst indexes a new rival blog post, the Content Strategist immediately sees it as a "Content Gap" without needing a manual update.
🤖 The Agent Roster
1. Strategy Architect Agent (Lead)
- Role: The "VP of Content." Responsible for high-level direction.
- Key Capabilities:
- Pillar Discovery: Clusters content to find de-facto pillars.
- Strategy Health: Warns when content deviates from core goals.
- Planning: Proposes quarterly themes based on performance.
- SIF Integration: Queries
txtaifor cluster density and topic coherence.
2. Content Strategist Agent (Creative)
- Role: The "Editor-in-Chief." Focuses on what to write next.
- Key Capabilities:
- Gap Analysis: Identifies topics competitors cover but you don't.
- Trend Spotting: Detects rising keywords in the industry.
- Brief Generation: Creates detailed outlines for writers.
- SIF Integration: Compares user vector space vs. competitor vector space.
3. SEO Specialist Agent (Technical)
- Role: The "Technical SEO." Ensures visibility and health.
- Key Capabilities:
- Rank Monitoring: Watches SERP movements for key pages.
- Health Checks: Flags 404s, slow pages, or missing meta tags.
- Opportunity Finding: "Low hanging fruit" (e.g., high impression, low CTR).
- SIF Integration: Analyzes GSC performance data mapped to content embeddings.
4. Social Manager Agent (Engagement)
- Role: The "Social Media Manager." Handles distribution and community.
- Key Capabilities:
- Repurposing: Turns blog posts into LinkedIn threads/Tweets.
- Schedule Optimization: Predicts best times to post.
- Engagement: Drafts replies to high-value comments.
- SIF Integration: Matches social trends to existing content library.
5. Competitor Analyst Agent (Intelligence)
- Role: The "Spy." Watches the market 24/7.
- Key Capabilities:
- Change Detection: Alerts when a competitor updates their pricing or homepage.
- Counter-Strategy: Suggests moves to block competitor launches.
- SIF Integration: Continuously indexes competitor sitemaps into the shared brain.
🛠️ Technical Implementation
Base Agent Interface
All agents inherit from BaseALwrityAgent and implement standard methods:
class SpecializedAgent(BaseALwrityAgent):
async def propose_daily_tasks(self, context) -> List[TaskProposal]:
# Domain specific logic
pass
async def analyze_sif_data(self, query) -> Dict[str, Any]:
# Semantic search logic
pass
Task Proposal Protocol
Agents don't just "chat"; they submit structured TaskProposal objects:
- Title: Actionable name.
- Priority: High/Medium/Low.
- Reasoning: "Why?" (e.g., "Because competitor X did Y").
- Source: Agent Name (displayed in UI).
📊 UI Visibility
The agents are visible to the user in three key areas:
- Team Huddle Widget: Real-time status (Active/Thinking) in the Main Dashboard.
- Today's Tasks: Each task card shows the agent's badge and reasoning.
- SEO Dashboard: Insights are tagged with "Identified by [Agent Name]".
🚀 Future Roadmap
- Inter-Agent Chat: Allow agents to debate strategy (e.g., SEO Agent vs. Creative Agent).
- Auto-Execution: Allow agents to perform tasks (e.g., fix a broken link) with user approval.
- Voice Interface: Daily standup meeting via voice.