Claude Code
A terminal-first coding agent that reads your repo, edits files and runs commands.
Effort: Low
A terminal-first coding agent that reads your repo, edits files and runs commands.
Effort: Low
Mention @claude in an issue or PR and get code changes back as a PR.
Effort: Medium
Assign an issue to Copilot and review the pull request it opens.
Effort: Low
Run Cursor's agent in the cloud so tasks continue while you work on something else.
Effort: Low
An AI reviewer that flags bugs and security issues on every pull request.
Effort: Low
OpenAI's open-source, lightweight coding agent for your terminal.
Effort: Low
Send coding tasks to Codex in the cloud, review the results, open PRs.
Effort: Medium
Open-source AI pair programming in your terminal, with git commits built in.
Effort: Low
Make the agent run your linter and tests after each edit and fix what breaks.
Effort: Low
A short CONVENTIONS.md stops agents from fighting your style every session.
Effort: Low
Open-source autonomous coding agent for your IDE, CLI or as an SDK.
Effort: Low
An AI software engineer that runs parallel cloud agents on your backlog.
Effort: Medium
An async coding agent: pick a repo, describe the task, approve the plan, get a PR.
Effort: Low
Google's open-source agent that brings Gemini into your terminal.
Effort: Low
An open-source coding agent for the terminal that works with many model providers.
Effort: Low
An open-source platform for AI software agents you can self-host.
Effort: High
Independent AI code review, PR triage and change explanations.
Effort: Low
Hand off a research question and get back a multi-source report.
Effort: Low
Real-time, web-grounded search and answers via API for your own products.
Effort: Medium
An open-source, configurable deep research agent you can run and modify.
Effort: High
An autonomous agent that researches any topic and writes a report, with any LLM.
Effort: Medium
Turn websites into clean, LLM-ready data via API.
Effort: Low
Open-source crawler that turns any website into clean, LLM-ready Markdown.
Effort: Medium
Convert PDFs, Office files and more into Markdown that LLMs read well.
Effort: Low
An AI research partner grounded in the sources you upload.
Effort: Low
Workflow automation with AI agent nodes, self-hostable.
Effort: Medium
Thousands of community templates: copy one, swap credentials, ship.
Effort: Low
Scrape competitor pages weekly, summarise changes with an LLM, email yourself.
Effort: Medium
AI teammates that act across thousands of apps, on command or on a schedule.
Effort: Low
AI agents inside Make's visual automation scenarios.
Effort: Medium
Expose Make scenarios as tools to Claude, Cursor and other MCP clients.
Effort: Medium
AI in your launcher, connected to the tools you already use.
Effort: Low
Crawl the docs once, save as Markdown, point your coding agent at it.
Effort: Low
Full-stack web apps from natural language, with real code you can export.
Effort: Low
Prompt, run, edit and deploy full-stack web apps in the browser.
Effort: Low
AI assistant to design, iterate and ship full-stack web apps on Vercel.
Effort: Low
Describe what you need; the agent writes, tests, fixes and publishes it.
Effort: Low
The bolt.new repo is public: study or run a prompt-to-app agent locally.
Effort: High
Let your AI tools manage Supabase tables, migrations and queries.
Effort: Low
Feeds current, version-specific library docs into your coding assistant.
Effort: Low
Persistent instructions so the AI follows your stack every time.
Effort: Low
Package your repeated prompts as skills you can call with one command.
Effort: Low
Ten minutes of spec saves hours of the AI going in circles.
Effort: Low
Give the agent a real browser so it can check its own UI work.
Effort: Low
Open-source coding agent for VS Code and JetBrains, any model.
Effort: Medium
The open standard for connecting AI apps to tools and data.
Effort: Medium
Official example MCP servers to use or learn from.
Effort: Low
Give agents structured access to issues, PRs, code and Actions.
Effort: Low
Open-source library for agents that use the browser.
Effort: Medium
Mix AI actions with code for more reliable web automation.
Effort: Medium
Low-level framework for stateful, controllable agent workflows.
Effort: High
Build collaborative agent crews and flows in Python.
Effort: Medium
A lightweight framework for multi-agent workflows with handoffs and guardrails.
Effort: Medium
Build your own agents on the same harness that powers Claude Code.
Effort: Medium
Delegate review, testing or research to focused subagents with their own context.
Effort: Low
Run your own scripts at agent lifecycle events: format, lint, block risky commands.
Effort: Medium
Prompt chaining, routing, parallelisation, orchestrator-workers, evaluator-optimizer.
Effort: Low
Principles for LLM software good enough to put in front of customers.
Effort: Low
Secure cloud environments where agents can run code and tools.
Effort: Medium
Visual platform for agentic workflows and RAG pipelines, cloud or self-hosted.
Effort: Medium