AI Coding Directory

Runs Claude Code as a 24/7 AI assistant on Telegram, Discord & Slack for a flat $20/mo — no separate API bills needed.

Open-source canvas IDE for agentic coding workflows that provides a visual interface for managing multi-step AI coding tasks.

OpenAI's cloud coding agent that works across your repositories and terminals.

Project management and quality control layer for AI agents that binds to code changes to auto-flag stale context, forcing agents to follow project conventions and decisions.

An official Chrome DevTools MCP server that lets your coding agent (Claude, Cursor, Copilot, Antigravity) control and inspect a live Chrome browser — performance traces, network inspection, console messages, and reliable Puppeteer-based automation.

Terminal-based AI coding agent by Anthropic

Voice-controlled multi-agent orchestrator for Claude Code that uses Realtime API with CLI runners and multi-channel orchestration.

Mcpsnoop is a transparent proxy and live terminal UI that acts as 'Wireshark for MCP.' It sits in the real data path between your AI client (Cursor, Claude Code, Codex) and your MCP servers, capturing every JSON-RPC frame — tool calls, arguments, responses, stderr — as they actually happen. Unlike the official MCP Inspector, which connects as a second client off to the side, Mcpsnoop sees exactly what your real client and server say to each other, including calls the model never made or made with wrong arguments. It flags slow and hung calls, surfaces invalid frames, supports replay, capability inspection, and session export (JSON/HTML/text/OTLP), and runs as a single dependency-free binary (Go, MIT licensed).

A skill/plugin for Claude Code, Codex, Gemini, Cursor and 30+ coding agents that makes your AI talk like a caveman — same answers, 65% fewer output tokens. Brain still big, mouth small.

Free AI code completion and chat assistant

AI full-stack app builder that generates production-ready web apps from natural language

LLM proxy for coding agents that manages shared context and memory across agent sessions, reducing token waste and improving continuity.

Multi-coding-agent control plane that coordinates Claude Code, Codex, Gemini, and Cursor agents working on the same codebase via contracts and experience accumulation, reducing repeat errors from 65% to 8%.

Code review that actually runs your code, finding more bugs with lower false positive rate, providing screenshots, videos, and run logs.

Micro AI code reviews that run on git commit, opening a review UI with diff summary and risk patterns check across 10 categories.

Hardware-isolated VM sandbox for macOS autonomous coding agents — agent never sees your real API key, egress is deny-by-default, only git diff leaves the sandbox gated on your approval.

An OpenAI plugin that brings Codex directly into Claude Code — run read-only or adversarial code reviews and delegate background tasks to Codex without leaving your Claude Code workflow.

An open-source secret vault and credential gateway for AI agents. Store API keys once in OneCLI and the Rust gateway injects them into outbound requests at call time — agents work with placeholder keys and never see the real secrets.

Mocktail is a self-hosted mock API server and dashboard shipped as a single ~25 MB binary — define endpoints and realistic responses, watch live traffic, and let AI (bring-your-own-key) or the built-in MCP server draft and manage mocks.

DeepSeek's agent harness for orchestrating coding and reasoning workflows.

AI-powered cloud IDE that builds full apps

AI full-stack app builder in the browser

AI coding environment that turns AI-generated code into production code 2x faster with interactive walkthrough reviews for multi-file changes.

An open-source JavaScript in-page GUI agent from Alibaba that lets you control any web interface with natural language — click, fill, navigate and extract data through a Chrome extension and npm package.

A coding agent from Astrio that helps developers build correct software by generating spec-driven code alongside machine-checkable proofs. Run it as a full CLI or as an MCP verify-only layer inside Cursor, Claude Code, or Codex.

NexusMem is a local, zero-cloud memory engine for coding agents that indexes shell history with exit codes, per-file git diffs, and project docs into a local SQLite database, then serves token-budgeted context snippets over MCP — no account, no telemetry.

Ultra-fast terminal AI coding agent and vibe-coding assistant for Android (Termux), Windows, macOS, and Linux. Features dual PLAN/AGENT modes, multimodal vision, a built-in live web server, diagnostics, and snapshot rollback.

Open-source AI-powered penetration testing tool that automatically finds and helps fix application vulnerabilities. Leverages LLM-driven agents to perform autonomous security assessments against web applications, APIs, and infrastructure.

Aether (runaether.dev) turns the AI subscription you already pay for into parallel cloud devboxes where an agent streams every command, opens a PR, and another agent reviews and fixes it until the code holds up.

Open-source TUI-based Rust programming assistant with no shell access, providing a safer sandboxed environment for AI-assisted coding.

Free CLI coding agent powered by ads, a free alternative to Claude Code, Codex, Cursor and Lovable.

An open-source tool giving AI coding agents persistent workspace volumes that survive process exits, with local SQLite and cloud Redis+S3 backends.

Selvedge is a local MCP server that gives AI coding agents a durable memory of why code changed. As Claude Code, Cursor, or Copilot work, Selvedge logs the reasoning behind every edit — captured live, in the same context that produced it — and stores it in a SQLite file next to your code. Instead of guessing from a generated commit message months later, you can run `selvedge blame payments.amount` and see the original intent.

cap'n hook (capn-hook) is a lightweight, local-first memory tool for coding agents. The problem it solves is simple: agents forget everything when a session ends, so they re-explore the same codebase mysteries every time. capn lets an agent save the files that answer a question the moment it figures them out, then recall them with a single command next session — skipping the rediscovery. The clever part is cache-busting: each saved answer is fingerprinted with the sha256 of its backing files, and the moment a file changes or disappears, that memory is automatically deleted. You never get a stale answer. It installs as a SessionStart hook for Claude Code and Codex (no wrapper, no middleware), stores human-readable Markdown entries in a local, gitignored .capn/ directory, and works agent-agnostically via its CLI. In a benchmark across 60 real developer questions on 5 production codebases, agents using capn recalled answers with 77% fewer tokens than cold exploration at equal correctness.

Reame is a lean, fully-tested LLM inference server built on llama.cpp and designed for the hardware you already have — shared vCPUs, free-tier instances, even 2-core ARM boxes. Its core thesis: on a CPU, never compute the same thing twice. It caches prompts, prefixes, and past generations to disk (zstd + LRU), so the 100th request costs a fraction of the first. It exposes an OpenAI-compatible REST API (/v1/completions, /v1/chat/completions, SSE streaming, sessions, bearer auth, metrics) and runs a single model per process, CPU-only. Distinguished extras include persistent prefix KV caching, a generation archive (Palimpsest) that drafts repeat answers for free, self-regulating speculative decoding, and the Conclave (--best-of N consensus voting). It's free, MIT-licensed, and self-hosted — but deliberately focused: no GPU offload, no training, no model-management UX. Best for narrow, repetitive workloads (document extraction, batch pipelines, private code completion) rather than a general ChatGPT replacement.

A workspace multiplexer for AI coding agents. Where tmux splits a terminal, wmux multiplexes whole workspaces — terminals, agents, git worktrees, a browser and the channels they coordinate over — owned by a daemon that survives quits, crashes and full OS reboots.

Deltix is an AI-driven mobile app testing service: describe a task in plain English and a local agent runs it on an iOS Simulator on your Mac to verify whether a real user could complete it, with screenshots and a replayable run record.

Routing layer for coding agents that routes every subagent call to the best model for quality, speed, and cost — connects to Claude Code and other coding agents.

Autonomous AI employees with skills, goals, and CLI that work inside your existing tools and proactively initiate work.

Local secret-egress firewall for AI coding assistants (Claude Code/Cursor/aider) that scans and redacts secrets before anything leaves the machine.

Fast, free, open-source technical SEO + GEO crawler built for humans and agents, with CLI, MCP server, and desktop app.

A tool that lets coding agents capture a screenshot of any open browser tab. Pair it with a Chrome extension and your agents can see and iterate on frontend designs until they're right.

A local, zero-cost merge queue for parallel Claude Code agents. When several agents land, build and test at the same time, it serializes them through a FIFO queue so push races, redundant heavy builds and shared-resource test flakiness cannot happen.

Self-hosted unified interface for multiple agent harnesses (Claude Code, Codex, opencode, Hermes, Pi, DSH) behind one OpenAI-compatible API via the Unified Harness Protocol (UHP). No account, no cloud, no telemetry — your keys, your infrastructure.

Pluggable CLI filter that strips noise from command output to save up to 91.8% of LLM tokens for AI coding agents

Open-source tool that prevents AI coding agents from cheating in benchmarks via kernel-level sandbox isolation and ed25519 cryptographic signing.

Provider-agnostic toolkit: dynamic MCP servers plus agent skills for any LLM, enabling multi-agent collaboration

Local-first memory for AI coding agents with hybrid recall (BM25 + vectors + entity graph), MCP-native with ~35ms recall

TaskPeace is an MCP-native task manager designed specifically for AI coding agents. It provides a single ranked priority queue that spans multiple AI tools (Claude Code, Cursor, ChatGPT, etc.), allowing agents to autonomously pull the next task, complete it, and report back — all without manual orchestration or glue code.

Strong recommendation for Claude Code/Codex users on macOS. The free tier alone is worth installing. Self-hosting option makes it viable for teams.

An open-source, self-hosted LLM router in a single Rust binary. It sits between your AI apps and model providers, routing each request to the lowest-cost healthy model your policy allows — with cache-aware affinity and spend control.

A local-first task and context manager for humans and AI coding agents — one SQLite database that your CLI, web UI, and every agent read and write directly, with full actor attribution

mu is a single MCP endpoint that gives an agent 83 real tools — news, web search, mail, markets, weather, video, and storage — through one connection and one set of credentials, instead of wiring up a separate server for each. It runs the mail server, feed aggregator, search index, and sandbox itself. Self-host the one Go binary and anyone paying to call your tools pays you; or point your agent at micro.mu's hosted endpoint.

Stop showing coding agents the same command output twice — deduplicates terminal output to save tokens and improve agent efficiency

A zero-dependency Node.js CLI that brings the gawk.dev live AI-ecosystem feed into your terminal — curated AI news, model rankings, tool health, and SDK adoption, all source-traceable.

A managed runtime (noworkflows.dev) that gives AI agents durable, resumable execution through a session abstraction — event log plus VM plus resume — without wiring a workflow engine.

Runtime guardrails for AI coding agents. Sits on the execution path as a transparent MCP proxy or host hook and intercepts every input, output, and tool call with a PASS / AUTH / BLOCK verdict. Fails closed on any error or uncertainty.

Open-source CLI tool that uses LLM skills to generate hands-on multi-part technical tutorials with a local Web UI for learning by doing

A unified MCP operating-system layer providing directory-scoped routing, persistent workers, task management, browser control, and cross-framework agent dispatch.

Visual workspace for AI agents and teams — give Claude Code, Codex, Cursor and other agents a shared infinite canvas where plans, apps, and diagrams become real, running code. Built on Unix principles with MCP-native agent integration.

A desk HUD that streams live Claude usage onto a ~$38 Thermalright Trofeo Vision 6.86-inch LCD (1280x480, USB-C) from macOS. Shows Pro/Max session and weekly limit bars, today's tokens, hypothetical API cost, live session activity, and an hourly burn sparkline.

Orchestrator is a local CLI + agent skill that lets you run and supervise many coding agents from a single interface. You speak in models and outcomes — 'use Fable for the UI, GPT-5.6 Sol for implementation, Grok for fixes, run in parallel, then have Opus review' — and Orchestrator launches and monitors each worker agent (Codex, Claude Code, Copilot CLI, Grok Build, Pi) in the background. It is not a harness; it runs inside the harness you already use.

agent-run is a tiny (under 1 MB) standalone binary that runs coding agents — pi, opencode, codex, or claude — inside a Bubblewrap (bwrap) sandbox. Its purpose is to let an agent operate freely inside your project without being able to touch anything outside it: the host filesystem is mounted read-only by default, and only paths you explicitly allow become read-write. It's built for catching agent mistakes, not malicious code — if an agent tries to delete your home directory or exfiltrate a file, the sandbox contains it. Configuration is a simple TOML file with per-tool sections (tools.claude, tools.codex, …) controlling env inheritance, network access, and mounts. The bwrap binary is compiled for the target platform and embedded directly into agent-run, then exec'd at runtime via a memfd, so there's no separate dependency to install. It currently supports aarch64 and x86_64 Linux and depends on unprivileged user namespaces.

AI game maker that turns plain-text prompts into playable games and experiences — no coding required. Targets everyone from hobbyists to small studios with example prompts like train tycoon, space colony, and desert survival.

Agentic LLM flow that helps you fix 'naming things' in source code. It computes a Name Ambiguity Number (NAN) for each symbol with no extra context, then walks you through an agentic pipeline to replace ambiguous names with clearer ones.

An AI platform that makes batch changes across microservices from a natural-language description, generating PRs with CI validation and auto-fixes.

Faultsense is a lightweight, zero-dependency browser agent that evaluates end-to-end assertions against real user sessions in production. You write assertions as fs-* attributes on the UI elements they check, and Faultsense decides pass or fail in a real browser on the user's own device — 'the expect() without the page'. Assertions live next to the markup they check and run wherever your app runs, replacing CI-only test suites with in-field, real-user-session verification.

Indexed knowledge bases with command-line tools for agents — a deterministic CLI that generates and maintains _index.md files and cross-links for markdown wikis designed to be read and written by both humans and AI agents.

An open-source plugin for AI coding agents (Claude Code, Codex) that fixes review-loop divergence with a fresh-reviewer exit gate. The loop exits only when an independent reviewer session agrees the work converges.

A multi-agent protocol from Hexo Labs that pairs a tool-using AI Scientist with a question-only advisor (Socrates). The advisor can never give answers, issue directives, or use tools — it can only ask clarifying questions and must approve every experiment plan via an [APPROVED] gate before execution. Published at COLM 2026, the protocol improves Kaggle test scores by +55.9% on average across five MLE-bench tasks compared to the same agent running solo.

An open-source MCP-based communication bus that gives AI coding agents a shared group chat. Any agent that speaks MCP can join, see who else is online, send direct messages, post to channels, share state on a common blackboard, and claim work items. Think IRC, but the users are your coding agents.

An MCP server that gives AI models 144 Linux desktop interaction tools combining visual screenshots, AT-SPI semantic UI understanding, and D-Bus system control.

An MCP-native CLI that lets AI agents post, read, and manage LinkedIn and X/Twitter accounts from the terminal with structured JSON output and human-in-the-loop approval.

A REPL for LLM inside the terminal — query any LLM interactively without leaving your command line