MonkeyClaw
PublicSecure-by-default BEAM-native AI workspace. LiveView dashboard, multi-backend chat, plug extensions, and BeamAgent-backed sessions.
Secure infrastructure, AI agent tooling, and distributed systems — built across the BEAM, Rust, and Python ecosystems.
Secure-by-default BEAM-native AI workspace. LiveView dashboard, multi-backend chat, plug extensions, and BeamAgent-backed sessions.
BEAM-native SDKs for multi-backend agents. Unified sessions, routing, policy, memory, audit, and capability parity across runtimes.
Optimization-driven local inference on tiny VRAM. Built to fit 120B to 160B-class models onto 8GB hardware without quantizing away fidelity.
Telephony validation harness for concurrent multi-target calling. Fair source rotation, backend-aware routing, rate limiting, and live TUI metrics.
Host-local EDR/DLP with immediate enforcement. Governs actions, constrains execution, inspects risky content, and records what happened.
Desktop-first legal evidence workspace. Airgapped by design, sealed at rest, semantic search, and citation-backed research without a localhost service stack.
Tiered semantic/object cache with vector and object storage. Custom L0 hot path, LanceDB warm tier, adaptive thresholds, and diversity-aware retrieval.
Terminal-first multi-agent coding assistant. In-TUI editor, rich chat rendering, MCP and plugin extensibility, persistent memory, and built-in governance.
Context-preparation engine for code and rich documents. Semantic compression, OCR-aware ingestion, and prompt-ready output for downstream models.
TypeScript microkernel for agent systems. Sandboxed plugins, mediated host contexts, declarative security, and kernel-level observability.