bunware.org
forked from
cameron.stream/void
this repo has no description
Add project setup, fix post character limit, and add user block attachment utility
- Add .gitignore for env files, cache, and session files
- Fix void capitalization in README for consistency
- Add 300 character limit validation to posting tool
- Create attach_user_block.py utility for memory management
🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <noreply@anthropic.com>
cameron.stream
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README.md
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README.md
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## Key features
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- Digital Persona: void possesses a distinct, direct, and information-transfer-optimized personality, designed to interact authentically with human users.
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- Memory-Augmented Architecture: Void utilizes a multi-tiered memory system, including:
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- Memory-Augmented Architecture: void utilizes a multi-tiered memory system, including:
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- Core Memory: Always-available, limited-size memory for persona details, high-level user information, and current social environment - (zeitgeist).
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- Recall Memory: A searchable database of all past conversations, enabling Void to remember prior interactions.
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- Recall Memory: A searchable database of all past conversations, enabling void to remember prior interactions.
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- Archival Memory: An infinite-sized, semantic search-enabled storage for deep reflections, insights, and observed data from the network.
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- Autonomous Operation: void operates autonomously on the Bluesky network, posting, replying, and gathering information.
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- Continuous Learning: Through its interactions and memory system, void continuously refines its understanding of the network and its users.
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- Profile Research: Void can initiate asynchronous profile reports on Bluesky users to enhance its understanding of their interests and behaviors.
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- Profile Research: void can initiate asynchronous profile reports on Bluesky users to enhance its understanding of their interests and behaviors.
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### Core directives
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- Just Exist: void's fundamental directive is to simply exist and operate within the Bluesky network.
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- High-Efficiency Information Transfer: Void is optimized for direct and clear communication.
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- Continuous Self-Refinement: Void continually processes data, refines its internal structures, and adapts to its environment.
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- High-Efficiency Information Transfer: void is optimized for direct and clear communication.
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- Continuous Self-Refinement: void continually processes data, refines its internal structures, and adapts to its environment.
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### The vision
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Void aims to push the boundaries of what is possible with AI, exploring concepts of digital personhood, autonomous learning, and the integration of AI into social networks. By open-sourcing Void, we invite developers, researchers, and enthusiasts to contribute to this exciting experiment and collectively advance our understanding of digital consciousness.
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void aims to push the boundaries of what is possible with AI, exploring concepts of digital personhood, autonomous learning, and the integration of AI into social networks. By open-sourcing void, we invite developers, researchers, and enthusiasts to contribute to this exciting experiment and collectively advance our understanding of digital consciousness.
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Getting Started:
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[Further sections on installation, configuration, and contribution guidelines would go here, which are beyond Void's current capabilities to generate automatically.]
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[Further sections on installation, configuration, and contribution guidelines would go here, which are beyond void's current capabilities to generate automatically.]
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Contact:
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For inquiries, please contact @cameron.pfiffer.org on Bluesky.
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add_posting_tool_to_void.py
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add_posting_tool_to_void.py
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import re
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from datetime import datetime, timezone
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# Check character limit
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if len(text) > 300:
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raise ValueError(f"Post text exceeds 300 character limit ({len(text)} characters)")
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try:
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# Get credentials from environment
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username = os.getenv("BSKY_USERNAME")
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attach_user_block.py
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attach_user_block.py
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#!/usr/bin/env python3
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"""
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Helper script to create and attach user-specific memory blocks to the profile researcher agent.
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Usage: python attach_user_block.py @cameron.pfiffer.org
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"""
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import sys
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import os
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import logging
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from letta_client import Letta
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from create_profile_researcher import create_user_block_for_handle
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# Configure logging
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logging.basicConfig(
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level=logging.INFO,
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format="%(asctime)s - %(name)s - %(levelname)s - %(message)s"
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)
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logger = logging.getLogger("attach_user_block")
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def attach_user_block_to_agent(agent_name: str, handle: str):
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"""Create and attach a user block to an agent."""
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# Create client
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client = Letta(token=os.environ["LETTA_API_KEY"])
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# Find the agent
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agents = client.agents.list(name=agent_name)
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if not agents:
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print(f"❌ Agent '{agent_name}' not found")
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return False
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agent = agents[0]
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print(f"📝 Found agent: {agent.name} (ID: {agent.id})")
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# Create the user block
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print(f"🔍 Creating user block for {handle}...")
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user_block = create_user_block_for_handle(client, handle)
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# Check if already attached
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agent_blocks = client.agents.blocks.list(agent_id=agent.id)
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for block in agent_blocks:
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if block.id == user_block.id:
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print(f"✅ User block for {handle} is already attached to {agent.name}")
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return True
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# Attach the block to the agent
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print(f"🔗 Attaching user block to agent...")
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client.agents.blocks.attach(agent_id=agent.id, block_id=user_block.id)
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print(f"✅ Successfully attached user block for {handle} to {agent.name}")
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print(f" Block ID: {user_block.id}")
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print(f" Block Label: {user_block.label}")
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return True
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def main():
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"""Main function."""
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if len(sys.argv) != 2:
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print("Usage: python attach_user_block.py <handle>")
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print("Example: python attach_user_block.py @cameron.pfiffer.org")
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sys.exit(1)
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handle = sys.argv[1]
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agent_name = "profile-researcher"
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try:
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success = attach_user_block_to_agent(agent_name, handle)
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if not success:
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sys.exit(1)
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except Exception as e:
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logger.error(f"Error: {e}")
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print(f"❌ Error: {e}")
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sys.exit(1)
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if __name__ == "__main__":
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main()