Tenkai Daily — April 7, 2026

Open Source Releases

• Shannon Lite: Autonomous AI pentester for web apps and APIs — A white‑box pentester that scans source code for attack vectors and then runs real exploits to confirm findings. Handy for engineers who want automated, proof‑of‑concept security validation without switching tools.
• slsqp-jax 0.8.1 — A pure‑JAX implementation of the SLSQP optimizer, delivering JAX‑compatible gradients and JIT compilation. Useful when you need constrained nonlinear optimization inside differentiable pipelines or HPC workloads.
• Claude Skills: 66 specialized skills for full‑stack development — A library of prompt templates and tool integrations that extend Claude Code for debugging, code generation, and full‑stack tasks. Engineers can drop these in to get more targeted LLM assistance without writing prompts from scratch.
• aicd 1.0.6 — A CLI AI agent that helps with code generation, documentation, and refactoring via configurable LLM backends. Ideal for terminal‑centric workflows where you want quick, repeatable AI‑assisted edits.
• custom-langchain-model 0.1.6 — Lets you plug custom chat models into LangChain, handling message formatting, token counting, and chain integration. Useful when you’re experimenting with proprietary or research LLMs and need LangChain compatibility.
• pw-agent 1.5.8 — A terminal coding assistant that runs locally hosted Ollama models with GPU acceleration via PastaWater. Provides low‑latency code completion, explanation, and refactoring for developers who prefer private, on‑prem AI assistance.

AI Dev Tools

• Nanoclaw: Lightweight container‑based agent framework — A secure, container‑friendly alternative to OpenClaw that connects to chat and email services while offering memory, scheduled jobs, and Anthropic’s Agents SDK. Good for engineers needing a minimal, extensible agent runtime.
• DeepTutor: Agent‑native personalized learning assistant — Uses LLMs to adapt tutoring content and feedback based on student interactions, generating dynamic lessons on the fly. Engineers building edtech tools can study its approach to LLM‑driven personalization.
• block/goose v1.29.0 adds sub recipe management, sub agent logs UI, and MCP Apps hostContext — Introduces UI controls for managing sub‑recipes, viewing delegated agent logs, and passing toolInfo to MCP Apps via hostContext, plus a sidebar expansion for chat history. Improves observability and workflow flexibility in Goose‑based agent setups.
• block/goose v1.28.0 introduces adversarial agent, Claude adaptive thinking, and persistent GooseMode — Adds an adversarial agent to curb information leakage, integrates Claude’s adaptive thinking, and makes GooseMode persist per‑session. Useful for teams focused on secure, stateful agent interactions.

MCP Servers & Integrations

• Blockscout MCP Server — Supplies blockchain data (balances, tokens, NFTs, contract metadata) across multiple chains to AI agents, with progress notifications for long queries and Claude Desktop integration. Engineers building blockchain‑aware agents get a ready‑made data source without writing custom indexers.

Today’s Synthesis

Shannon Lite gives you a white‑box pentester that not only scans source code for attack vectors but also runs real exploits to confirm findings, turning static analysis into actionable proof‑of‑concept reports. Pair that with slsqp-jax 0.8.1 , a pure‑JAX implementation of the SLSQP optimizer that delivers JAX‑compatible gradients and JIT compilation, to fine‑tune any ML‑based risk scoring model you might layer on top of Shannon’s output — adjusting thresholds, loss weights, or feature importance directly inside a differentiable pipeline without leaving your JAX workflow. Wrap the whole loop in a lightweight container using Nanoclaw: Lightweight container‑based agent framework , which provides a secure, extensible runtime for scheduled jobs, memory, and chat/email notifications via Anthropic’s Agents SDK. The result is an automated, self‑optimizing security validation agent that continuously scans your codebase, adapts its detection sensitivity via gradient‑based optimization, and pushes concise, exploit‑verified alerts to your team’s preferred channels — all running on‑prem or in a private cloud with minimal operational overhead.