Apache-2.0 licensed lightweight agent sandbox: Cedar policy + Ed25519-signed receipts in one Rust binary. Design-partner preview.
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Updated
Apr 20, 2026 - Rust
Apache-2.0 licensed lightweight agent sandbox: Cedar policy + Ed25519-signed receipts in one Rust binary. Design-partner preview.
Policy platform for AI agents: Cedar policy over network, filesystem, and process access. Container sandboxing with observe-then-enforce workflow.
Experimental governance ideas for autonomous AI agents — captcha, permit, mesh, eval, memory.
Cedar for .NET — a C#/.NET port of the Cedar Java bindings, enabling .NET applications to parse, validate, format, convert, and evaluate Cedar policies using the native Cedar engine.
Desktop runtime for humans and AI agents to share live coding sessions. Multi-provider agent orchestration (Claude/Codex), policy-gated approvals (Cedar), human-in-the-loop interventions, multi-agent channels, worktree-isolated execution, dual-signed cross-node dispatch, E2E-encrypted relay. TypeScript daemon + tRPC + Electron/CLI clients.
Policy-gated data excavation for AI agents on Amazon Bedrock AgentCore. Cedar + Bedrock Guardrails enforce cost limits, PII protection, and read-only access across Athena, OpenSearch, S3, and MCP. Apache 2.0 CDK reference architecture.
A secure-by-default database
The Zero-Trust Action Hub is a standalone, Zero-Trust Policy Decision Point (PDP) designed for autonomous AI agent ecosystems. It enforces cryptographic governance over high-risk agent actions using AWS Cedar policies and Ed25519 digital signatures, requiring agents to collect and present cryptographic proofs from trusted external microservices.
Self-hosted JavaScript authentication library for AWS Cognito with WebAuthn/Passkey support. Rust Token Handler backend with Cedar authorization.
Open-source infrastructure for groups of AI agents — identity, capability, accountability, and norms. Framework-agnostic.
Reusable Cedar policy templates for agent action receipt verification. Interoperable with cedar-policy/cedar-for-agents.
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