code assistant

LLMIntel is a runtime telemetry and cost dashboard for LLM apps. The live demo shows spend by model, API key, environment, and tag, plus at-risk spend for retiring models and optimization suggestions.

Mission control for AI coding agents, letting users run, watch, resume, and orchestrate tools like Claude Code, Codex, Copilot, and opencode from one terminal and live dashboard.

OpenRig is a local control plane for multi-agent coding topologies. It uses a YAML-based rig spec to boot, inspect, snapshot, restore, and visualize agent fleets, with examples like product teams, adversarial review, research clusters, and secrets management.

Leviath is a Rust-based agent runtime for running structured LLM agents from a single file. It emphasizes context regions, stage-specific models and tools, run journaling, live steering, and the ability to run many agents in one process.

CodeTrain is a hands-on AI coding trainer that teaches developers on their own codebase by making them write each step themselves, with hints, test runs, and progress tracking.

Spewer is a local service for delegating bounded coding tasks to cheaper models, with durable task state and evidence-rich receipts. The repo shows install, ask, background task, watch, check, and cancel flows, plus local Ollama/Qwen3 support.

VS Code extension that provides one interface for running multiple coding agents, including Claude, Codex, OpenCode, Qwen, and Hermes, with session history, diffs, permissions, and tool-call visibility.

Graft builds a semantic code graph for coding agents so tools like Claude Code and Cursor can understand a repository faster with less re-exploration. It ships as a CLI with agent wiring, graph generation, and visualization, and supports local or hosted model providers.

An interactive site showcasing short AI-built arcade games and a model bench that compares coding models across the same tiny game constraints.

ClaudeLines is a registry for Claude Code status line scripts, letting users browse community-built bars and install them with a single prompt.

Kimi WebBridge is a browser extension that lets AI agents click, fill forms, navigate, screenshot, and extract data in Chrome or Edge while running locally on the user’s device.

A public leaderboard that ranks GitHub, GitLab, and Bitbucket repos by how friendly they are to AI coding agents such as Claude Code, Cursor, Devin, Codex, Gemini, Aider, and OpenHands.

A TypeScript SDK for browser-native AI APIs and WebMCP, with composable wrappers, streaming, AbortSignal handling, and optional React hooks.

A community gallery of Claude Code status lines with rendered previews and one-paste copy options, aimed at developers customizing their Claude Code workflow.

A GitHub project that adds a popup UI for surfacing and editing a coding agent’s implicit assumptions while it works. The README describes how a watcher sub-agent scans session history, generates steering controls, and updates decisions without polluting the main thread.

An open-source benchmark for testing whether LLMs can follow long arithmetic derivations without using tools. It compares models on recall-proof inputs, logs digit accuracy, and reports results across multiple endpoints and model families.

Research preview for a voice-agent reasoning harness that lets a realtime assistant think between turns without adding in-band latency. The page includes benchmark results, pricing, example behavior, and a description of the architecture behind Waterr’s AI meetings.

A developer profile platform that pulls in contributions from external sources and adds an embedded AI hypeman for answering questions about your profile. It also offers developer APIs for using the profile data in other apps.

A prompt-injection capture-the-flag arena for testing how AI agents behave under attack. Users can play challenges, create guarded agents, add optional guards and sandboxed tools, and track scores on a leaderboard.

A Zot docs page describing portable .zot files for packaging agent behavior, skills, requirements, and permissions. It includes manifest structure, file layout, permission rules, and packaging/running examples.

A data-driven page that tracks well-known AI agent repositories with no recent public commit signal, comparing star counts with liveness to surface projects that have gone quiet.

Command Center is a local AI coding environment focused on helping developers run multiple coding agents, review large diffs, and turn AI-generated edits into cleaner, production-ready code.

A file-backed workflow for resumable coding-agent projects, using Markdown records, a CLI, and bundled workflow skills to keep project state on disk instead of in chat.

Open-source, local MCP-based context layer for AI coding assistants. It scans a codebase, builds a behavioral graph, and aims to improve architectural understanding while reducing input-token use on large repos.