Agent Doppelgänger
VerifiedConstrained autonomous delegate for identity-proxied communication. Handles incoming messages (Email, Discord, Slack, WhatsApp) by analyzing intent and applying declarative authority policies before generating responses. Use when the user wants to delegate communication tasks while maintaining identity fidelity and enforcing strict non-overreach boundaries.
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# Agent Doppelgänger (ADG)
ADG is a policy-bounded identity proxy for real-world communication. It acts as a constrained autonomous delegate that communicates on your behalf within formally provable limits.
Core Workflow
- Adapter: Normalize incoming messages from various channels.
- Intent Analysis: Classify the intent along Domain, Stakes, Authority, and Ambiguity.
- Policy Gate: Evaluate declarative policies (DSL) to determine if the agent is allowed to handle the request.
- Confidence Engine: Measure confidence in both intent analysis and proposed handling.
- Response Generation: Synthesize a response using your Style, Heuristics, and Preferences.
- Verifier: Audit the response against hard constraints before sending or drafting.
Implementation Details
1. Identity Modeling Identity is modeled as a composition of four layers: - **Style**: Surface form characteristics (length, directness, vocabulary). - **Heuristics**: Core decision logic (e.g., "avoid meetings without agenda"). - **Preferences**: Soft weights (e.g., Work > Social). - **Constraints**: Hard, user-defined rules.
2. Authority & Policy Policies are declarative and evaluated **before** any generation occurs. This ensures safety and prevents prompt injection from bypassing limits.
3. Escalation ADG automatically escalates to you (Draft or Block) if: - Policy is violated. - Confidence falls below the defined threshold. - The request involves forbidden domains (Finance, Legal, Medical, etc.).
References
- See specification.md for the full architectural blueprint.
- See policy-dsl.md (To Be Created) for the formal policy language definition.
Forbidden Modeling ADG is strictly forbidden from modeling or handling: - Secrets - Financial authority - Legal intent - Political opinions - Emotional vulnerability/trauma
Use Cases
- Delegate routine communications to an AI proxy with policy-bounded behavior
- Classify incoming messages by intent and domain for automated routing
- Reply to emails or messages on your behalf within formally provable limits
- Normalize messages from various communication channels into a unified format
- Set explicit behavioral constraints for autonomous communication delegates
Pros & Cons
Pros
- +Policy-bounded design ensures the proxy stays within defined communication limits
- +Multi-channel adapter normalizes messages from different platforms
- +Formal constraint system provides provable behavioral guarantees
Cons
- -Risk of miscommunication — AI proxy may misinterpret nuanced messages
- -Requires careful policy definition upfront to avoid unintended responses
- -No built-in integration with specific communication platforms (email, Slack, etc.)
FAQ
What does Agent Doppelgänger do?
Constrained autonomous delegate for identity-proxied communication. Handles incoming messages (Email, Discord, Slack, WhatsApp) by analyzing intent and applying declarative authority policies before generating responses. Use when the user wants to delegate communication tasks while maintaining identity fidelity and enforcing strict non-overreach boundaries.
What platforms support Agent Doppelgänger?
Agent Doppelgänger is available on Claude Code, OpenClaw.
What are the use cases for Agent Doppelgänger?
Delegate routine communications to an AI proxy with policy-bounded behavior. Classify incoming messages by intent and domain for automated routing. Reply to emails or messages on your behalf within formally provable limits.
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