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AI-assisted i18n translation, source-hash drift detection, and quality linting for Rails, built on i18n-tasks and RubyLLM. Config-driven per app and package, with the lingo CLI and shipped RuboCop cops.
A measured scorecard of how discoverable Ruby, Rails, and the wider ecosystem's documentation is to LLMs and AI coding agents, and what the community can do to move the needle.
Fragua — AI agent orchestrator, composed for Rails
Fragua, an AI agent orchestrator for Rails — turn an idea into a shipped app through research, plan, spec, and ship, with agents that respect the craft.
llmemory: memoria persistente para agentes LLM en Ruby
Descubre llmemory, la gema Ruby que resuelve la amnesia de los LLM dotando a tus agentes de memoria persistente a corto, largo plazo y cognitiva para conversaciones inteligentes.
Claude Code forgets everything when a session ends. I built recall to fix that — a self-improving memory layer that captures sessions, distills durable knowledge nightly, and feeds it back automatically.
zarpay/rails-template: Opinionated, agent-native Rails template — the production Rails starter ZAR uses internally, packaged with a CLAUDE.md operating manual, 32 Claude skills, and 17 path-scoped coding rules.
Opinionated, agent-native Rails template — the production Rails starter ZAR uses internally, packaged with a CLAUDE.md operating manual, 32 Claude skills, and 17 path-scoped coding rules. - zarpay/...
danielstpaul/silas: Your Rails app is already an agent runtime — durable AI agents on Rails: exactly-once tool ledger, park-at-zero human-in-the-loop, operator inbox.
Your Rails app is already an agent runtime — durable AI agents on Rails: exactly-once tool ledger, park-at-zero human-in-the-loop, operator inbox. - danielstpaul/silas
mcheemaa/mistri: The agent harness for Ruby applications. Durable sessions, streaming, human-in-the-loop approval, compaction, structured output, sub-agents, and MCP, with zero runtime dependencies.
The agent harness for Ruby applications. Durable sessions, streaming, human-in-the-loop approval, compaction, structured output, sub-agents, and MCP, with zero runtime dependencies. - mcheemaa/mistri
Durable sessions in your own database, streaming, human-in-the-loop approval, compaction, structured output, sub-agents, and MCP. Zero runtime dependencies.
The complete toolkit for the Open Knowledge Format: an agent that authors, curates, and consumes your knowledge, a CLI and library, and a graph to explore, live or static. Open source, 100% local.
Adopting a knowledge format usually means rewriting what you already wrote, which is why adoption stalls. /okf migrate, new in 1.7.0, adopts your existing Markdown in place: frontmatter and reserved files added, every body kept verbatim. The links you wrote years ago become the graph on day 0, and produce, search, and maintain compound from there.
Hot path optimization: unsafe pointer arithmetic to eliminate bound checks the Go compiler can't remove, given you can prove they are truly unnecessary.