A fully customizable workflow and context-management system for AI coding agents. Define repeatable phase DAGs in YAML, run them with `cp run`, keep all long-lived state on disk. Harness-agnostic and provider-pluggable, with a built-in `manual` fallback s
The Linear Client SDK for interacting with the Linear GraphQL API
This is an internal utility, not intended for public usage.
Deep Agents - a library for building controllable AI agents with LangGraph
View docs [here](https://radix-ui.com/primitives/docs/components/context-menu).
Provide context info for eslint-plugin-import-x, so no extra arguments need to be added.
Rive's webgl based web api.
OpenTelemetry AsyncLocalStorage-based Context Manager
Tiny helpers for processing regex syntax
A shareable stylelint config for Planning Center projects
Autohand Code CLI is a fast, terminal-native AI coding agent for planning, editing, testing, and automating software work.
Allow integrators to extend the UI of Planning Center products
Claude Code tools installer (skills, hooks, MCP servers)
OpenTelemetry Tracing
A flexible way to handle safe area, also works on Android and web.
Marble testing helpers library for RxJs and Jest
Generic wave-based multi-agent orchestration for repository work.
Modern and scalable routing for React applications
Planning Center Opinions for SweetAlert2
Construct, plan and execute transactions from multiple instructions.
Provides an API for ESLint custom rules that is compatible with the latest ESLint even when using older ESLint.
CLI tools for AI agents
Local-first knowledge memory for agents with Markdown, backlinks, indexing and context retrieval.
React way perf context selector
SmartBrain provides commit_turn and compose_context APIs for agent memory, retrieval planning, evidence fusion, and context assembly.
We have deprecated the legacy Oso open source library. We have plans for the next open source release and we're looking forward to getting feedback from the community leading up to that point (please reach out to us in the Slack #help channel). In the meantime, if you're happy using the Oso open source library now, nothing needs to change – i.e., we are not end-of-lifing (EOL) the library and we'll continue to provide support and critical bug fixes. More context: [here](https://www.osohq.com/docs/oss/getting-started/deprecation.html).
Pocketrb is a Ruby AI agent framework featuring async message bus architecture, multi-LLM support (Claude, OpenRouter, RubyLLM), multi-channel messaging (CLI, Telegram, WhatsApp), planning system, context compaction, and simple JSON-based memory with keyword matching.
CommandSet is a user interface framework. Its focus is a DSL for defining commands, much like Rake or RSpec. A default readline based terminal interpreter (complete with context sensitive tab completion, and the amenities of readline: history editing, etc) is included. It could very well be adapted to interact with CGI or a GUI - both are planned. CommandSet has a lot of very nice features. First is the domain-specific language for defining commands and sets of commands. Those sets can further be neatly composed into larger interfaces, so that useful or standard commands can be resued. Optional application modes, much like Cisco's IOS, with a little bit more flexibility. Arguments have their own sub-language, that allows them to provide interface hints (like tab completion) as well as input validation. On the output side of things, CommandSet has a very flexible output capturing mechanism, which generates a tree of data as it's generated, even capturing writes to multiple places at once (even from multiple threads) and keeping everything straight. Methods that normally write to stdout are interposed and fed into the tree, so you can hack in existing scripts with minimal adjustment. The final output can be presented to the user in a number of formats, including contextual coloring and indentation, or even progress hashes. XML is also provided, although it needs some work. Templates are on the way. While you're developing your application, you might find the record and playback utilities useful. cmdset-record will start up with your defaults for your command set, and spit out an interaction script. Then you can replay the script against the live set with cmdset-playback. Great for ad hoc testing, usability surveys and general demos.
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