AI Agent Skill for NSAuditor AI — gives any AI coding agent built-in knowledge of NSAuditor's MCP tools, schemas, plugins, and security audit workflows.
Write code from specifications.
AI Agent Skill for NSAuditor AI — gives any AI coding agent built-in knowledge of NSAuditor's MCP tools, schemas, plugins, and security audit workflows.
Autonomous terminal agent harness engineered to understand software tasks, conduct web research, reflect on tool plans, safely modify codebases with automated verification, execute commands in Docker, enforce safety guardrails with secret scanning, and re
Share a local folder for smooth real-time collaborative editing with your coding agent.
kixparadigm-en — English edition of the kix paradigm preset for DeepSeek Harness: resident cognition layer (EN) + kixpower multi-agent orchestration, one-command import (preset + vision-bridge + guard plugins)
Send the task. Caraka runs it. — a local bridge from chat or Web/PWA to the coding agent on your machine.
Model Context Protocol (MCP) server for Groq API integration with any MCP-compatible client. Run 'groq-mcp --config' for interactive setup.
MCP server for NVIDIA NIM - 50+ LLMs, multimodal, image gen, embeddings, reranking
DeepSeek Harness guardrail that limits how many files an AI coding agent can edit per turn
HAR: open agent harness CLI and MCP server for coding agents, isolated worktrees, and software-factory workflows
CLI for AI loops for the SDLC on an existing git repo. Easy to set up, still powerful: agent loop campaigns (lumps) with CLI agents, git branches, and resumable LUMP marker commits
LSP call graph for coding agents: a symbol's callers, callees, tests and live files in one call.
The security-native AI coding agent. Six Sec-Test security personas, compliance-first /scraper, a business documents & research suite, and multi-agent Compose orchestration — spec-driven workflow engines in one terminal-first CLI.
The ShipBash command line: manage the journeys and hooks ShipBash tests your web app or CLI with, run them, read the results and pull evidence, from a terminal or a coding agent.
Saves AI coding-agent context by giving exact code instead of whole files, from a local graph.
LoomWeaver: open-source plugin platform for Angular workbenches. The MCP server: scaffolding and validation as tools, so an AI assistant in any product repo can build weavers without a checkout.
A coding and development harness on local models or hosted APIs, for code, review, research and ops.
Coding agent CLI for local and hosted models, designed around small local models first.
A coding agent for your terminal in one native binary: reads your code, writes files, runs commands behind an approval gate, and remembers each project in a knowledge graph. Works with any OpenAI-compatible model, hosted or local (Ollama, LM Studio, vLLM)
Keeps long coding-agent sessions lean: wrap a stretch of work in a named task, and when it ends, fold that whole span into one short titled summary. The conversation stays readable, context costs stay low, and any fold's original content can be read back
Native runtime debugging via DAP-to-MCP for crashes, hangs, dumps, symbols, and forensics.