Stop looking at problems from a single vantage point. Agent N leverages multi-perspective synthesis to deliver more sustainable, high-fidelity solutions.
In complex problem-solving, single-view analysis often leads to shallow outcomes. Agent N iterates across multiple perspectives to consolidate consensus, ensuring you get not just what you asked for, but a deeper, more robust solution than initially envisioned.
Agent N follows a "consensus-driven" approach:
- Multi-Perspective Analysis: Instead of a linear path, Agent N evaluates problems from various cognitive angles.
- Consensus Synthesis: It cross-references these perspectives to identify shared truths and potential blind spots.
- Sustainable Output: By gathering broader context, Agent N produces solutions that are more scalable, reliable, and thorough.
- Multi-Agent Simulation: Uses divergent agents to explore different problem dimensions.
- Consensus Engine: Aggregates findings to filter noise and prioritize high-value insights.
- Context Expansion: Leverages more tokens to provide deeper reasoning and nuance, leading to superior final outcomes.
agent.py: Orchestrates the core multi-perspective agent loop.llm.py: Manages LLM interfacing and response processing.memory.py: Maintains session context and long-term learning.prompts.py: Optimized system prompts for perspective synthesis.metg.cs: Specialized tooling for perspective-based consensus gathering.sandbox.py: Isolated environment for testing proposed solutions.Role/: Custom configurations and role definitions for diverse perspective agents.
(Add your installation or setup instructions here)
# Example setup command
pip install -r requirements.txt
python agent.py --start
## Contributing
Contributions are welcome. If you have a perspective to add or an optimization for the consensus engine, please open an issue or submit a pull request.
## License
MIT
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### How to use this:
1. Copy the text above.
2. In your repo, create or replace the `README.md` file.
3. **Customize the "Getting Started" section:** Since I didn't see specific setup requirements in your files (like a `requirements.txt`), make sure to add the specific commands needed to run your prototype.