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CodeEraser — erase LLM-induced code & document entropy. This package is a name-reservation pointer: the tool ships as prebuilt binaries on GitHub Releases, `cargo install codeeraser`, and a Claude Code plugin.

Plug-and-play OpenCode plugin: delegate(model, task) + discover_models(query) — on-demand model discovery, explicit provider/model subagent execution, no pricing heuristics, registry never injected into context.

Install, update, and remove private Gemography agent skills

Beautiful screen recordings for agents. Drive the Tellclip macOS app from the command line: every command prints one JSON object.

Host adapters for Assay. The Claude Code adapter reads trigger, tool-trace, completion and cost signals from an isolated session.

DeepSeek Harness plugin that records every LLM provider request/response, viewable per call in the web UI.

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Offline-first CLI for testing AI prompt behavior and detecting regressions

Shared pipeline management UI package for RDI.

Run TenderLead tender, profile, pipeline, insight and bid-workspace workflows from the terminal

Content-addressed model response cache for dsh-rerun attempts: replays a byte-identical request, records a new one

Full-cycle FP&A planning, strategy, forecast, and review prompts, skills, and data tools for Pi

TypeScript/Node.js SDK for ProximaDB vector database

Embedded, local-first vector database for Node.js/TypeScript — SQLite for vectors. No server, no Docker, no external daemon.

Embedded, local-first vector database for Node.js/TypeScript — SQLite for vectors. No server, no Docker, no external daemon.

Embedded, local-first vector database for Node.js/TypeScript — SQLite for vectors. No server, no Docker, no external daemon.

Embedded, local-first vector database for Node.js/TypeScript — SQLite for vectors. No server, no Docker, no external daemon.

Embedded, local-first vector database for Node.js/TypeScript — SQLite for vectors. No server, no Docker, no external daemon.

Browser/Worker binding for the corvid embedded database — the engine compiled to wasm32: idiomatic synchronous OOP (in-memory) plus async OPFS persistence via a dedicated Worker

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