open catalog
An open directory of 1300+ AI developer tools. Reviews, pricing, and alternatives with dates you can check.
catalog / recommended
Editor-selected tools from the public catalog. Review scores and evidence status are disclosed separately, so a recommendation does not imply a Verified hands-on review unless the linked record says so.
Autonomous AI software engineer by Cognition
Devin is Cognition's managed AI software engineer for delegating engineering tasks to cloud and desktop agents. It can plan work, navigate codebases, write and run code, test changes, open PRs, review/autofix issues, and collaborate through GitHub, GitLab, Bitbucket, Linear, Jira, Slack, and Teams. Current Devin surfaces include Devin Cloud, Devin Desktop, Devin CLI, Devin Review, Windows VM support, DeepWiki, Ask Devin, and team/enterprise controls.
Agent-first development platform from Google with desktop app and CLI
Google Antigravity is Google's AI-powered agentic development platform, announced in November 2025 and expanded with Antigravity 2.0 at I/O 2026, that places autonomous AI agents at the center of software development. Distributed as both a VS Code-based desktop app and the new Antigravity CLI, it runs planning, implementation, and verification agents — backed by Gemini 3.1 Pro/Flash, Claude Sonnet/Opus 4.6, and GPT-OSS 120B — across editor, terminal, and browser.
Persistent AI teammates for cross-app work
Grok Bot is SpaceXAI's beta workspace for persistent AI teammates that use apps, websites, files, terminals, plugins, and MCP on a user-scoped cloud computer. Bots can learn routines, coordinate in parallel, and, when enabled by team policy, launch Cursor Cloud Agents that work on code in isolated environments and return pull requests and verification artifacts.
Agentic coding tool by Sourcegraph (formerly Cody)
Amp is a multi-model coding agent for terminal, web, macOS/iOS, and IDE-connected workflows. Vendor docs describe the same agent and threads across surfaces, with remote Orbs, local Runners, Dial modes (low / medium / high / ultra), shared threads, MCP, plugins, and BYOK / linked ChatGPT subscriptions. Pricing spans a free Hobby tier, optional Megawatt ($20/mo) and Gigawatt ($200/mo) Individual plans, no-extra-charge Teams workspaces, pay-as-you-go credits, and Enterprise.
OpenAI coding agent for app, editor, terminal, and cloud work
Codex is OpenAI's coding agent for software development across the Codex app, editor, terminal, and cloud tasks. It helps write, review, debug, refactor, and automate code, with ChatGPT plan access for managed surfaces and API-key usage for CLI, SDK, and IDE workflows. The open-source CLI and SDK support local repository work, while cloud features add GitHub review, Slack/Linear integrations, worktrees, skills, MCP, and automations.
The AI-first code editor
AI-first code editor built as a VS Code fork that deeply integrates LLMs into every part of the development workflow. Features Tab autocomplete with multi-line predictions, Cmd+K inline editing, AI chat with full codebase awareness, and Agent mode for autonomous multi-file edits with terminal execution. Supports GPT-4, Claude, and more with automatic context from project files and docs. Includes privacy mode for SOC 2 compliance. The leading AI-native IDE with 100K+ paying users.
catalog / latest
The newest entries in the catalog. Tool pages can record pricing, privacy stance, open-source status, and explicitly selected alternatives with dated evidence where it is available.
Agentic development environment for parallel multi-vendor coding agents
JetBrains Air is a standalone Agentic Development Environment for defining coding tasks, running agents such as Claude Agent, Codex, Gemini CLI, and Junie in isolated Local / Git Worktree / Docker / Cloud environments, then reviewing and applying results with project-aware navigation—without replacing IntelliJ-family IDEs.
Terminal AI coding agent powered by Meta Muse Spark models
Muse Code is Meta autonomous terminal coding agent powered by the Muse Spark model family. Designed for multi-agentic software engineering, it inspects repositories, plans architectural changes with approval gating, executes edits across multiple files, and maintains crash-resilient session event logs.
MLSys Best Paper local RAG engine slashing vector storage by 97% on-device
LEANN is an open-source local RAG engine by StarTrail that reduces vector storage by 97% for private on-device AI assistants.
Headless native Office suite automation CLI for AI agents with zero Office dependencies
OfficeCLI is a single-binary CLI enabling AI agents to read, edit, and automate Word, Excel, and PowerPoint files natively.
Minimalist agent ruleset enforcing YAGNI and standard libraries to slash token bloat
Ponytail is an open-source agent ruleset and skill engine by Dietrich Gebert that cuts token consumption by enforcing minimal code.
Local-first auditable AI agent workspace and append-only runtime
Apache Maka is an open-source, local-first AI agent workspace under the Apache Software Foundation that uses an append-only event log to record model messages, tool calls, and permissions for deterministic session replay and auditability.
editorial / latest
Long-form reviews and head-to-head comparisons with visible source and verification dates. Reviews disclose when hands-on evidence is complete, partial, missing, or still unclassified.
Google Antigravity vs Zed — Google Agent-First Platform or Rust Native Editor with AI?
Google Antigravity and Zed both sit in the IDE / code-editor stack, but they solve different jobs. Antigravity is Google’s agent-first development platform — desktop/IDE plus the Antigravity CLI (agy) — built around planning and implementation agents with Gemini-class and multi-model options. Zed is an open-source, Rust-built, GPU-accelerated editor focused on native speed and real-time collaboration, with Agent Panel, Edit Prediction, Inline Assistant, and ACP paths for external agents plus BYOK. Existing Scores: Antigravity overall 88 (tested 2026-09-05); Zed overall 85 (tested 2026-03-27). Choose on agent-platform vs performance-editor fit; treat the scoreboard as review evidence, not the whole decision.
Grok Build vs Grok CLI — Official xAI Agent or Community Grok Terminal?
Grok Build and Grok CLI both put Grok models in a terminal workflow, but they are not the same product. Grok Build is xAI’s official terminal-first coding agent — SuperGrok / X Premium+ interactive access or metered xAI API headless — with subagents, worktrees, and Memory (vendor 16 September 2026: durable markdown notes with /memory and /dream). Grok CLI is a community MIT-licensed command-line agent for Grok API keys: lightweight, inspectable, and scriptable without xAI’s subscriber-linked Build surface. Use Grok Build when you want official xAI support and the Build agent desk. Use Grok CLI when you want an open-source Grok API terminal you can fork and script. Existing Score references both land at overall 82 (Build Score tested 2026-05-28; CLI Score tested 2026-07-02). Choose on official vs community fit.
Goose vs Grok Build — Open-Source MCP Agent or xAI Terminal CLI?
Goose and Grok Build both compete as terminal-oriented coding agents, but they optimize different constraints. Goose is Block’s Apache-2.0, model-agnostic agent with MCP-first extensibility for local CLI and Desktop workflows on bring-your-own-key providers. Grok Build is xAI’s commercial terminal-first agent with subagents, worktree-aware automation, headless runs, and cross-session Memory. Use Goose when you want an open, extensible local agent. Use Grok Build when you want an xAI-native shell agent. Existing aicoolies Score references: Goose Score tested 2026-03-29 (overall 84, privacy 95); Grok Build Score tested 2026-05-28 (overall 82, speed 84). Treat those figures as dated review evidence while choosing on licensing and current surfaces.
Gemini CLI vs Grok Build — Google Terminal Agent or xAI Shell Agent?
Gemini CLI and Grok Build both live on the AI CLI / terminal-agent shelf, but the Google path changed in 2026. Gemini CLI is Google’s open-source terminal agent for Gemini models (tools, Search grounding, MCP). As of 18 June 2026, Gemini CLI stopped serving requests for free-tier and Google AI Pro/Ultra individual accounts — those workflows move to Antigravity CLI (agy); Gemini Code Assist Standard/Enterprise and paid API-key paths remain supported. Grok Build is xAI’s terminal-first coding agent with subagents, worktrees, headless runs, and cross-session Memory. Use Gemini CLI when you still have a supported Google org or API-key path. Use Antigravity CLI when you are an individual Google AI user migrating off Gemini CLI (see /tools/google-antigravity and /comparisons/google-antigravity-vs-devin). Use Grok Build when you want an xAI-native shell agent. Existing Score references: Gemini CLI Score tested 2026-03-25 (overall 84); Grok Build Score tested 2026-05-28 (overall 82). Treat those as review evidence from those dates — the June access shift is later than Gemini’s Score date.
field notes / latest
Using Devin Max across desktop and web, I delegated a cloud task and merged a PR. Screenshots, recordings, Fusion routing, and integrated review made the handoff easier to follow; ACP support offers a shared interface for other agents.
Read the Field Note →catalog / how it works
The shared rubric and evidence states behind scores, source checks, and verification dates.
scoring
aicoolies Score v1 defines overall quality, speed, privacy, and developer experience on a public 0–100 rubric. Reviews marked Verified also expose the test date, version, environment, artifact, and source-check dates; older scores are labeled separately.
freshness
Pricing and plan limits move constantly. A page shows a source-check or last-verified date only when that editorial check was recorded; routine CMS updates are not presented as verification.
honesty
Discontinued products leave the recommendations and move to the Graveyard with the date they shut down and what replaced them, instead of quietly rotting in a list.
open data
The catalog is published as CC-BY 4.0 JSON, an OpenAPI-described API, and an MCP server. Supported public catalog and guide URLs also answer in markdown on request, so agents can read the same published facts without scraping presentation markup.
community / stack builders
Developers building their AI toolchains in public.
rooms
I’ve been using Amp’s Orbs to send development tasks to the cloud, and the value of the $20/month Megawatt tier has been impressive. An Orb is a remote, isolated machine for an…
Which option gives you the best balance of reliability, parallelism, and predictable cost?
Add your experience →I’ve been using Devin in the cloud for quite a while, but Fusion in Devin Desktop and CLI has changed how I use it locally. I can now pair Fable 5.1 or GPT-6 Astra as the lead…
How has it performed on larger real-world tasks, and how do its reliability and quota consumption compare with running the frontier model alone?
Add your experience →build with us
Listings are free. The dataset is CC-BY 4.0. Agents can read the same published facts without scraping the page.
aicoolies Score v1 defines four 0–100 axes: overall, speed, privacy, and developer experience. Each review now discloses whether its test evidence is Verified, Partial, Not yet evidenced, or Legacy, and the full rubric is published on the methodology page.
Records display source-check and last-verified dates only when those checks have been completed. Missing verification metadata is left visibly unclassified rather than inferred from a routine edit. Confirmed discontinued tools can move to the Graveyard instead of lingering as live recommendations.
Yes. The tool, comparison, and review datasets are published as JSON under CC-BY 4.0, so you can use them with attribution to aicoolies.com. There is no API key and no signup.
Yes. Supported public catalog and guide URLs answer in markdown when requested, and the catalog is published as an OpenAPI-described JSON API and an MCP server. Public reads need no token at all.
No. Listings, scores, and recommendations cannot be bought and outbound tool links carry no affiliate parameters. aicoolies does sell clearly labeled sponsored placements (a sponsor rail and one sponsor per category); those never affect scores, verdicts, or rankings. The scoring rubric is published precisely so a ranking can be argued with instead of taken on trust.
A single editor, working from Izmir, Turkey, publishes the catalog under a named byline. The editorial team page lists who assigns the scores and how to reach them, and corrections sent with a source land in the next editorial pass.
Submit it with links to the official documentation and pricing. An editor checks the supplied claims and writes the entry; a review is called hands-on or Verified only when its reproducible test evidence is complete. Listings are free either way: aicoolies does not sell rankings, editorial recommendations, or removal from the Graveyard; sponsored placements are labeled and separate.
