Trust scoring for GitHub PR authors using graph-based ranking on contribution graphs
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Updated
Mar 5, 2026 - Python
Trust scoring for GitHub PR authors using graph-based ranking on contribution graphs
Autonomous coding agent that ships tested PRs from GitHub issues. Trust-scored multi-agent pipeline - every decision transparent. Trust is earned, not assumed. 💎
AI-native version control system that extends Git for autonomous agent workflows. Tracks decisions, not just diffs. Tournament-style parallel execution, trust-based reputation scoring, and full chain-of-thought lineage.
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Real-time blockchain fraud detection using autonomous multi-agent AI swarms. Detect fraud in <2s with 150x faster vector search (HNSW), 84.8% accuracy, and 73% cost reduction. Features ERC-1155 trust scores, MCP integration, and reflexion learning.
Zero-Trust Security Architecture for Enterprise Applications — dynamic trust scoring, mTLS, behavioral anomaly detection, policy engine, continuous verification
Interactive CLI-based blockchain with adaptive CAP/BFT consistency, trust scoring, hybrid PoW-BFT consensus, UTXO model, and Merkle forest architecture.
ChittyScore - 6D Behavioral Trust Scoring Engine for ChittyOS. Analyzes trust across Source, Temporal, Channel, Outcome, Network, and Justice dimensions. Python/Flask API with free deployment options.
The credit score for AI agents. 140 diagnostic questions, 75 scoring modules, 85 assurance packs, 40 domain packs, 2723 tests. Evidence-gated trust scoring with cryptographic proof chains.
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