feat: Add complete Agentic Compaction & Pipeline System

- Context Compaction System with token counting and summarization
- Deterministic State Machine for flow control (no LLM decisions)
- Parallel Execution Engine (up to 12 concurrent sessions)
- Event-Driven Coordination via Event Bus
- Agent Workspace Isolation (tools, memory, identity, files)
- YAML Workflow Integration (OpenClaw/Lobster compatible)
- Claude Code integration layer
- Complete demo UI with real-time visualization
- Comprehensive documentation and README

Components:
- agent-system/: Context management, token counting, subagent spawning
- pipeline-system/: State machine, parallel executor, event bus, workflows
- skills/: AI capabilities (LLM, ASR, TTS, VLM, image generation, etc.)
- src/app/: Next.js demo application

Total: ~100KB of production-ready TypeScript code
This commit is contained in:
Z User
2026-03-03 12:40:47 +00:00
Unverified
parent 63a8b123c9
commit 2380d33861
152 changed files with 51569 additions and 817 deletions

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import os
import sys
from pdf2image import convert_from_path
# Converts each page of a PDF to a PNG image.
def convert(pdf_path, output_dir, max_dim=1000):
images = convert_from_path(pdf_path, dpi=200)
for i, image in enumerate(images):
# Scale image if needed to keep width/height under `max_dim`
width, height = image.size
if width > max_dim or height > max_dim:
scale_factor = min(max_dim / width, max_dim / height)
new_width = int(width * scale_factor)
new_height = int(height * scale_factor)
image = image.resize((new_width, new_height))
image_path = os.path.join(output_dir, f"page_{i+1}.png")
image.save(image_path)
print(f"Saved page {i+1} as {image_path} (size: {image.size})")
print(f"Converted {len(images)} pages to PNG images")
if __name__ == "__main__":
if len(sys.argv) != 3:
print("Usage: convert_pdf_to_images.py [input pdf] [output directory]")
sys.exit(1)
pdf_path = sys.argv[1]
output_directory = sys.argv[2]
convert(pdf_path, output_directory)