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Claude Code plugin that blocks dependency edits until a fresh, source-cited version check is recorded, helping prevent hallucinated or stale package versions across npm, pip, Poetry/uv, Cargo, and NuGet.

A CLI tool that replays Claude Code session logs to reconstruct lost project files commit by commit. It includes deterministic replay from JSONL logs, an optional Claude-based classifier for Bash events, and install/run instructions.

CLI tool for versioning, diffing, rolling back, and searching AI prompts, with Git-style workflows for prompt management.

An MCP server that gives coding agents a compiler-backed graph of a TypeScript codebase, so they can answer structure questions with fewer tokens and exact file-and-line references.

A TypeScript library for deterministic context folding in long-running LLM agent sessions, designed to preserve prompts, avoid extra summarization calls, and keep provider caches hot.

A Rust-based checker that compares a changed function against its prior version on deterministically generated inputs and reports counterexamples when behavior changes. It includes a PR gate via GitHub Actions, CLI usage, signed receipts, and docs for release/signing.

Open-source visual workspace for building with coding agents like Codex and Claude Code, with session management, task tracking, diffs, and custom editors.

An OpenAI-compatible LLM proxy that routes requests to the fastest healthy provider. It runs as a small sidecar, supports latency/error-aware routing, session affinity, and Vertex AI, and can be deployed as a single static binary or Docker container.

A CLI for running long-lived autonomous coding agents in isolated Docker containers, with detach/reattach, review, commit, push, and optional browser preview workflows.

Open-source, self-hosted CLI and platform for tracking how ChatGPT, Claude, Gemini, Perplexity, and local LLMs cite a site, with dashboards, API endpoints, MCP support, and reporting workflows.

Soup is a Python library that routes Agent Skills into LLM prompts, injecting only the skills relevant to each request. It supports local skills, remote repositories, and multiple providers including OpenAI, Anthropic, Gemini, Ollama, LiteLLM, and LangChain.

A serverless document database that runs inside request handlers and stores state in S3/R2. The repo shows a small TypeScript API, quick-start flow, local dev support, and example scaffolds for app integration.

A curated GitHub resource list for production AI agent infrastructure, covering runtimes, sandboxes, tool protocols, security, observability, and evaluation.

A native Windows terminal multiplexer built for AI coding agents, with split panes, MCP bridging, and browser automation. It targets Windows users running tools like Claude Code, Codex CLI, and Gemini CLI without WSL.

A Claude Code skill for multi-agent code review that produces findings.md with severity, impact category, verification artifacts, and fix directions.

A session manager for AI coding agents that lets developers run and monitor multiple agents in parallel from a TUI or web dashboard. It supports several agent frameworks, uses git worktrees and optional Docker sandboxes, and includes remote phone access plus PWA-style web use.

Persistent memory for coding agents that stores hard-won codebase discoveries and revalidates them when files change. The repo describes a CLI hook flow for Claude Code and Codex, with install steps, command examples, and an evaluation claim showing fewer tokens on repeat questions.

A plugin for recording AI coding agent activity in a tamper-evident local audit trail. It stores sessions, tool calls, prompts, and integrity checkpoints in SQLite and exposes CLI and UI views for status, reports, anomalies, spend, inventory, exports, and proof verification.

A fail-closed execution firewall for AI agents that quarantines MCP tools, proxies OpenAI-compatible requests, and emits signed receipts for offline verification.

A Pi extension that uses AI to generate and keep codebase documentation current, with commands for initial docs, incremental updates, and chat-based questions.

CTOP is a terminal-based monitoring tool for AI coding agents. It tracks running sessions, context windows, costs, logs, and process state for tools like Claude Code, Codex CLI, OpenCode, and Devin.

A self-learning skill layer for Claude Code that distills skills from real sessions, merges near-duplicates, updates skills in use, and prunes unused ones.

git-lrc is a Git-based AI code review tool that runs on commit and surfaces risk categories, inline findings, and a summary deck for each review.

A PyTorch reference implementation of DeepSeek Sparse Attention from the LLMs-from-scratch project, including a lightweight indexer, top-K token selection, and a GPT-style model with KV-cache support.