A terminal-friendly interface for interacting with LLM models

A self-hosted web coding agent for the ask-rb ecosystem. Runs Ask::Agent::Session against any workspace with a mobile-first PWA, streaming events over SSE, with approvals, plan mode, todos, and diffs. Comes with the `ach` utility CLI for headless runs and server management. Extensible to other coding agents (ACP, Codex, Claude Code) via ask-coding-providers.

Coding agent adapter interface and implementations (ACP, Codex, Claude, AskAgent) for the askoda ecosystem.

Provides Ask::Provider (abstract interface), Ask::Conversation, Ask::Stream, Ask::ModelCatalog, Ask::ToolDef, Ask::Result, and structured error types. Zero runtime dependencies.

Test LLM outputs with Minitest-native assertions. LLM-as-judge for faithfulness, hallucination, bias, toxicity. Deterministic assertions (contains, regex, JSON). CI-native: GitHub annotations, JUnit output, cost tracking.

Provides authenticated Octokit client, context metadata, and error guide for AI agents.

Define workflows as graphs of named steps with conditional routing, parallel execution, human-in-the-loop approval, per-item checkpointing loops, and sub-graph composition. Each step is a plain Ruby class.

Error context for agents via Honeybadger for the ask-rb ecosystem.

Emits ActiveSupport::Notifications events for chat completions, embeddings, tool calls, and image generation. Works with any LLM provider. Subscribe to events for cost tracking, logging, analytics, or alerting.

Provides authenticated GraphQL client, context metadata, and error guide for AI agents working with the Linear API.

Supports OpenAI, Anthropic, Google Gemini + Vertex, Amazon Bedrock, Ollama (local), Mistral AI, and Cloudflare Workers AI + AI Gateway. One gem, all the models you need.

Connect to MCP servers via stdio, SSE, and Streamable HTTP transports. Run as an MCP server exposing any Ruby object as a tool. Discover tools, resources, and prompts. OAuth 2.1 authentication.

Rails engine that provides real-time monitoring for LLM usage. Cost tracking, throughput metrics, error rates, response times. Slack alerts. Real-time updates via Hotwire Turbo. Works with any ask-rb provider via ask-instrumentation events.

Provides authenticated Notion client, context metadata, and error guide for AI agents.

Adds OpenTelemetry tracing to ask-rb LLM operations. Subscribes to ask-instrumentation events and creates spans for chat completions, embeddings, tool calls, and more.

Document loaders, text splitters, vector stores, and retrieval queries for building RAG applications with ask-rb.

Rails generators, file conventions, and railtie for using ask-agent in Rails apps.

Rails Engine that mounts an admin AI agent at /ask. Ships Rails-aware tools (QueryDatabase, ReadModel, ReadLog, RunCommand, SchemaGraph, RouteInspector, RunTests), session persistence, audit logging, environment permissions, and service gem discovery. Previously developed as ask-rails (0.1.0–0.11.1).

Mount an MCP endpoint in your Rails app that exposes SchemaGraph, QueryDatabase, ReadModel, RouteInspector, and all other ask-rails-harness tools as MCP tools. Coding agents like Claude Code, Cursor, or any MCP-compatible client can connect to inspect your schema, query your database, read models, and more.

Mount an MCP endpoint in your Rails app that exposes SchemaGraph, QueryDatabase, ReadModel, RouteInspector, and all other ask-rails tools as MCP tools. Coding agents like Claude Code, Cursor, or any MCP-compatible client can connect to inspect your schema, query your database, read models, and more.