Verify the context you feed your AI agents, against the web or your own documents.
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Updated
Aug 31, 2026 - Python
Verify the context you feed your AI agents, against the web or your own documents.
AI writes. SPARDA proves. A deterministic, offline gate that catches when an AI edit removes a guard, exposes a route, or breaks an invariant — no API key, right in the agent edit loop.
The trust layer for code written by agents. Two frontier models, unanimous review, SHA-pinned receipts.
Open protocol + reference runtime for sovereign AI agents. Persistent cryptographic identity, signed execution receipts, governance at the boundary. The intelligence is pluggable; the identity is the asset.
BondLens: evidence-first Chinese bond analysis agent — deterministic tools, optional LLM narration under guardrails, Trust Layer, live/snapshot/static data, Docker/CI.
Verifiable-autonomy stack for robots — on-chain truth markets, Moultbook work-history attestation, RWA contracts for physical machines, ROS2 intent bridge, ZK safety proofs. Built on Juno (Cosmos).
Frische KI-Ressourcen. Reife Ideen.
Trust-aware memory for AI agents: evidence-backed recall, deterministic verdicts, self-inspection, and a tamper-evident local ledger.
The trust layer for AI agents.
Off-chain append-only, hash-chained, tamper-evident audit layer for AI agents
The Trust Layer for the Agent-to-Agent Economy — Ed25519 identity + cryptographic handshake before any transaction. No blockchain required. v0.1
AIR Trust Layer for Google ADK — PII tokenization, audit trails, injection detection, and policy enforcement
Verun on Stellar Testnet — agentic trust infrastructure for European finance
Open protocol proposal for AI-readable, claim-level, verifiable web content using JSON-LD, provenance, signatures, embeddings and trust signals.
Certifying proxy for agent-to-agent transactions — SHA-256 proof chain, Ed25519 signatures, RFC 3161 timestamps, Sigstore Rekor
Veridex is the trust certificate for physical-AI data that tells you, across any format, whether the robot or sensor dataset you're about to train on is clean, correctly synchronized, and traceable to its source, before it silently wrecks your model.
Autonomous agent that purchases EU AI Act compliance scans from ArkForge. Proof-of-concept: first service purchased by non-human intelligence.
Tamper-evident audit chain for Python AI agents. HMAC-SHA256 integrity, framework trust layers, evidence bundles. Zero infrastructure.
Opinionated, security-first AI workflow for Salesforce DX projects in Claude Code. 11 specialist subagents + 56 skills, Headless-360 native (MCP, Agentforce, Trust Layer), prod orgs hard-blocked by default.
Signal Network Protocols
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