Graft AI

Graft is an open-source codebase-context tool for coding agents, developed by NanoNets. It builds a repository graph and stores the result as linked Markdown files, with one node for each system, API, or concept and links describing how parts of the codebase connect. The graph supplies targeted context to agents instead of requiring them to rediscover repository structure during every task. It provides a CLI and MCP server, with integrations for Claude Code, Cursor, Codex, Gemini, and other coding agents. The CLI supports repository initialization, graph building, targeted search and orientation through commands such as `graft grep` and `graft map`, and graph visualization. `graft init` can install the agent wiring and background rebuild hooks; the generated graph is a local, regenerable cache that is added to `.gitignore` by default.

AutoGPT is an open-source platform for building, deploying, and running AI agents that carry out complete workflows. Users can describe an outcome in plain English, or use its visual builder to drag, connect, branch, and inspect workflow blocks. Agents can run on demand, on schedules, or from event triggers, and the marketplace provides ready-made agents that can be added and customized. The hosted platform is a paid, usage-based service that manages infrastructure, model access, credentials, and updates; the self-hosted path is free of license fees but requires users to provide infrastructure and model API keys and maintain the deployment.

Grok Bot is an AI agent application from xAI that acts as an AI teammate on a persistent cloud computer. Its agents can perform research, monitoring, file-based workflows, automations, administrative tasks, and coding fixes through a computer interface, with documented system behavior and bot security boundaries. Subscription plans, usage limits, and billing are managed through Cursor.

YAGNI is a coding-agent platform for engineering teams, offered as a CLI and desktop client. Its agents are grounded in a company’s data and use a shared decision ledger, while per-developer budget controls govern usage. The platform routes requests across vetted, US-hosted open-weight models and supports developer skills, plugins, and custom components; it advertises lower per-call inference costs than frontier APIs.

Vertex AI is Google Cloud’s managed platform for developing and deploying machine-learning and generative-AI applications. It provides hosted models and APIs that applications, including agents, can call at runtime, along with tools for model training, evaluation, and serving.