DROS VajraClaw (Hacker Edition)
Free Docker governance gateway that enforces deterministic, sub-microsecond AI agent execution security via O(1) bitmap policies and cryptographic audit chains.
At a Glance
Free forever for individual developers and researchers on up to 1 host with 5 concurrent agents.
Engagement
Available On
Alternatives
Listed Sep 2026
About DROS VajraClaw (Hacker Edition)
DROS VajraClaw (Hacker Edition) is a free, standalone Docker governance gateway built by Top-Celestial Company Ltd. for individual developers and AI researchers who need deterministic runtime security across multi-agent ecosystems. It enforces execution policy at the C-ABI/FFI boundary using compile-time resolved, cryptographically signed capability credentials rather than probabilistic LLM-based guardrails. The project is licensed under Apache 2.0 for individual use and is available on GitHub.
What It Is
DROS VajraClaw Hacker Edition is a local Docker container (listening on :8080) that acts as a governance gateway between autonomous AI agents and the host operating system. Rather than relying on prompt engineering, LLM-as-a-judge, or semantic text matching, it moves security intelligence to compile-time: policies are declared in Markdown (Vajra.md) or YAML (demo_policy.yaml), compiled into deterministic policy.bin files signed with Ed25519, and enforced at runtime via O(1) bitmap lookups. The project positions itself as the "missing execution layer" for the Agentic Web — sitting at the FFI choke point where all agent-initiated OS system calls must pass through.
How the Enforcement Architecture Works
The core enforcement model has three stages:
- Compile-time: Wildcards and capability inheritance are statically expanded; the resulting policy is hashed (SHA-256) and signed (Ed25519) into a
policy.binbinary. - Runtime: Every agent action that would cross the C-ABI boundary is checked against an in-memory O(1) bitmap. The project reports a core check latency of 484.8 ns and an end-to-end FFI overhead of 8–80 μs depending on platform.
- Fail-closed: Any capability not explicitly declared
ALLOWis permanently blocked. Unauthorized calls trigger an OS-level Thread Panic (SIGKILL), not a soft rejection.
The audit trail is a SHA-256 Merkle hash-linked chain signed with Ed25519, designed to satisfy non-repudiation requirements the project associates with EU AI Act Article 12.
Agent Ecosystem Integrations
The Hacker Edition ships with working starter templates for five major agent ecosystems:
- Anthropic Claude Desktop & Claude Code via MCP protocol (
/mcpendpoint) - Cursor IDE / VS Code Agents via
.cursorrulesterminal interception - OpenAI SDK & LangChain via a 3-line Python
VajraClawwrapper - CrewAI & Microsoft AutoGen with per-role W3C DID assignment and capability bitmap enforcement
- DeepSeek Harness (DSH) via a dual-mode plugin (
dsh-plugin-vajraclaw)
The gateway exposes both REST (/evaluate) and MCP endpoints, making it compatible with any agent framework that can make HTTP calls.
Policy-as-Code Developer Experience
Policies are written in either plain Markdown (Vajra.md) or structured YAML. The project provides an AI prompt template so developers can generate a policy by pasting a description of their agent's role into ChatGPT, Claude, or Cursor. Hot reloading is supported: mounting a new policy file takes effect in under 1 microsecond without restarting the container. The project recommends locking policy files to read-only (chmod 444) after configuration to prevent a compromised agent from rewriting its own rules.
Technical Foundations and Benchmarks
The project references three Zenodo-archived technical papers covering its six-trust-boundary architecture, 4-layer defense-in-depth model, and runtime attribution framework. The project's own published benchmark reports 160,611 verified requests over a 24-hour soak test with a 26.1 μs decision latency and zero race conditions under concurrent RCU stress. The Hacker Edition supports up to 5 concurrent agents on a single host; out-of-the-box community mode supports 2 concurrent agents without a license key.
Current Status
The repository was created in May 2026 and last pushed in August 2026, indicating active early development. The project is at v1.0.0 and is available as a pre-built image on GitHub Container Registry (GHCR). The broader DROS platform spans multiple language-specific core repositories (Rust, Go, C++, Python, Java, TypeScript) and is protected under U.S. Provisional Patent Application No. 64/111,973 (Patent Pending). Enterprise and startup commercial tiers exist separately from the free Hacker Edition.
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Pricing
Hacker Edition (Individual)
Free forever for individual developers and researchers on up to 1 host with 5 concurrent agents.
- Up to 5 concurrent agents
- W3C did:key agent identity (Ed25519)
- O(1) AST policy fusing (<1μs)
- SHA-256 Merkle hash-linked audit chain
- RFC-010 passport minting
Startup
Commercial license for startup entities requiring enterprise deployment.
- Multi-node fleet support
- Private cloud / K8s deployment
- AST Bitmaps + eBPF kernel hooks
- Hardware HSM + ZKP-Lite proofs
- 3-Tier PKI DrosIdentityToken (DIT)
- EU AI Act Art. 12 court-grade audit chain
- Cross-organization roaming passports
- <500ns zero-copy memory lookup
Enterprise
Full enterprise/sovereign commercial license for large organizations.
- All Startup features
- Sovereign deployment options
- Enterprise cluster support
- Full C-ABI enforcement
- Commercial support
Capabilities
Key Features
- O(1) bitmap policy enforcement at C-ABI/FFI boundary
- Sub-microsecond in-band fusing (<1μs)
- Ed25519 cryptographic policy signing
- SHA-256 Merkle hash-linked audit chain
- W3C DID (did:key) agent identity binding
- RFC-010 passport minting and cross-agent verification
- Strict fail-closed enforcement (Thread Panic on breach)
- Policy-as-Code via Vajra DSL (Markdown or YAML)
- Hot policy reloading without container restart
- Up to 5 concurrent agents (Hacker Edition)
- MCP and REST API endpoints
- Docker-based deployment
- Dynamic PII redaction and virtual sandboxing
- Supports Claude, Cursor, OpenAI, LangChain, CrewAI, AutoGen, DeepSeek Harness
