Exciting news for #Fedify developers! We've just landed a major milestone for Fedify 2.0—the #CLI now runs natively on #Node.js and #Bun, not just #Deno (#456). If you install @fedify/cli@2.0.0-dev.1761 from npm, you'll get actual JavaScript that executes directly in your runtime, no more pre-compiled binaries from deno compile. This is part of our broader transition to Optique, a new cross-runtime CLI framework we've developed specifically for Fedify's needs (#374).
This change means a more natural development experience regardless of your #JavaScript runtime preference. Node.js developers can now run the CLI tools directly through their familiar ecosystem, and the same goes for Bun users. While Fedify 2.0 isn't released yet, we're excited to share this progress with the community—feel free to try out the dev version and let us know how it works for you!
Exciting news for #Fedify developers! We've just landed a major milestone for Fedify 2.0—the #CLI now runs natively on #Node.js and #Bun, not just #Deno (#456). If you install @fedify/cli@2.0.0-dev.1761 from npm, you'll get actual JavaScript that executes directly in your runtime, no more pre-compiled binaries from deno compile. This is part of our broader transition to Optique, a new cross-runtime CLI framework we've developed specifically for Fedify's needs (#374).
This change means a more natural development experience regardless of your #JavaScript runtime preference. Node.js developers can now run the CLI tools directly through their familiar ecosystem, and the same goes for Bun users. While Fedify 2.0 isn't released yet, we're excited to share this progress with the community—feel free to try out the dev version and let us know how it works for you!
Exciting news for #Fedify developers! We've just landed a major milestone for Fedify 2.0—the #CLI now runs natively on #Node.js and #Bun, not just #Deno (#456). If you install @fedify/cli@2.0.0-dev.1761 from npm, you'll get actual JavaScript that executes directly in your runtime, no more pre-compiled binaries from deno compile. This is part of our broader transition to Optique, a new cross-runtime CLI framework we've developed specifically for Fedify's needs (#374).
This change means a more natural development experience regardless of your #JavaScript runtime preference. Node.js developers can now run the CLI tools directly through their familiar ecosystem, and the same goes for Bun users. While Fedify 2.0 isn't released yet, we're excited to share this progress with the community—feel free to try out the dev version and let us know how it works for you!
Exciting news for #Fedify developers! We've just landed a major milestone for Fedify 2.0—the #CLI now runs natively on #Node.js and #Bun, not just #Deno (#456). If you install @fedify/cli@2.0.0-dev.1761 from npm, you'll get actual JavaScript that executes directly in your runtime, no more pre-compiled binaries from deno compile. This is part of our broader transition to Optique, a new cross-runtime CLI framework we've developed specifically for Fedify's needs (#374).
This change means a more natural development experience regardless of your #JavaScript runtime preference. Node.js developers can now run the CLI tools directly through their familiar ecosystem, and the same goes for Bun users. While Fedify 2.0 isn't released yet, we're excited to share this progress with the community—feel free to try out the dev version and let us know how it works for you!
Exciting news for #Fedify developers! We've just landed a major milestone for Fedify 2.0—the #CLI now runs natively on #Node.js and #Bun, not just #Deno (#456). If you install @fedify/cli@2.0.0-dev.1761 from npm, you'll get actual JavaScript that executes directly in your runtime, no more pre-compiled binaries from deno compile. This is part of our broader transition to Optique, a new cross-runtime CLI framework we've developed specifically for Fedify's needs (#374).
This change means a more natural development experience regardless of your #JavaScript runtime preference. Node.js developers can now run the CLI tools directly through their familiar ecosystem, and the same goes for Bun users. While Fedify 2.0 isn't released yet, we're excited to share this progress with the community—feel free to try out the dev version and let us know how it works for you!
Exciting news for #Fedify developers! We've just landed a major milestone for Fedify 2.0—the #CLI now runs natively on #Node.js and #Bun, not just #Deno (#456). If you install @fedify/cli@2.0.0-dev.1761 from npm, you'll get actual JavaScript that executes directly in your runtime, no more pre-compiled binaries from deno compile. This is part of our broader transition to Optique, a new cross-runtime CLI framework we've developed specifically for Fedify's needs (#374).
This change means a more natural development experience regardless of your #JavaScript runtime preference. Node.js developers can now run the CLI tools directly through their familiar ecosystem, and the same goes for Bun users. While Fedify 2.0 isn't released yet, we're excited to share this progress with the community—feel free to try out the dev version and let us know how it works for you!
Exciting news for #Fedify developers! We've just landed a major milestone for Fedify 2.0—the #CLI now runs natively on #Node.js and #Bun, not just #Deno (#456). If you install @fedify/cli@2.0.0-dev.1761 from npm, you'll get actual JavaScript that executes directly in your runtime, no more pre-compiled binaries from deno compile. This is part of our broader transition to Optique, a new cross-runtime CLI framework we've developed specifically for Fedify's needs (#374).
This change means a more natural development experience regardless of your #JavaScript runtime preference. Node.js developers can now run the CLI tools directly through their familiar ecosystem, and the same goes for Bun users. While Fedify 2.0 isn't released yet, we're excited to share this progress with the community—feel free to try out the dev version and let us know how it works for you!
We're excited to announce Optique 0.4.0, which brings significant improvements
to help text organization, enhanced documentation capabilities, and introduces
comprehensive Temporal API support.
Optique is a type-safe combinatorial CLI parser for TypeScript that makes
building command-line interfaces intuitive and maintainable. This release
focuses on making your CLI applications more user-friendly and maintainable.
Better help text organization
One of the most visible improvements in Optique 0.4.0 is the enhanced help text
organization. You can now label and group your options more effectively, making
complex CLIs much more approachable for users.
Labeled merge groups
The merge() combinator now accepts an optional label parameter, solving
a common pain point where developers had to choose between clean code structure
and organized help output:
// Before: unlabeled merged options appeared scatteredconst config = merge(connectionOptions, performanceOptions);// Now: group related options under a clear sectionconst config = merge( "Server Configuration", // New label parameter connectionOptions, performanceOptions);
This simple addition makes a huge difference in help text readability,
especially for CLIs with many options spread across multiple reusable modules.
The resulting help output clearly organizes options under
the Server Configuration section:
Demo app showcasing labeled merge groupsUsage: demo-merge.ts --host STRING --port INTEGER --timeout INTEGER --retries INTEGERServer Configuration: --host STRING Server hostname or IP address --port INTEGER Port number for the connection --timeout INTEGER Connection timeout in seconds --retries INTEGER Number of retry attempts
The new group() combinator
For cases where merge() doesn't apply, the new group()
combinator lets you wrap any parser with a documentation label:
// Group mutually exclusive options under a clear sectionconst outputFormat = group( "Output Format", or( map(flag("--json"), () => "json"), map(flag("--yaml"), () => "yaml"), map(flag("--xml"), () => "xml"), ));
This is particularly useful for organizing mutually exclusive flags, multiple
inputs, or any parser that doesn't natively support labeling. The resulting
help text becomes much more scannable and user-friendly.
Here's how the grouped output format options appear in the help text:
Demo app showcasing group combinatorUsage: demo-group.ts --json demo-group.ts --yaml demo-group.ts --xmlOutput Format: --json Output in JSON format --yaml Output in YAML format --xml Output in XML format
Rich documentation support
Optique 0.4.0 introduces comprehensive documentation fields that can be added
directly through the run() function, eliminating the need to modify parser
definitions for documentation purposes.
Brief descriptions, detailed explanations, and footers
Both @optique/core/facade and @optique/run now support brief,
description, and footer options through the run() function:
import { run } from "@optique/run";import { message } from "@optique/core/message";const result = run(parser, { brief: message`A powerful data processing tool`, description: message`This tool provides comprehensive data processing capabilities with support for multiple formats and transformations. It can handle JSON, YAML, and CSV files with automatic format detection.`, footer: message`Examples: myapp process data.json --format yaml myapp validate config.toml --strictFor more information, visit https://example.com/docs`, help: "option"});
These documentation fields appear in both help output and error messages
(when configured), providing consistent context throughout your CLI's user
experience.
The complete help output demonstrates the rich documentation features with brief
description, detailed explanation, option descriptions, default values,
and footer information:
A powerful data processing toolUsage: demo-rich-docs.ts [--port INTEGER] [--format STRING] --verbose STRINGThis tool provides comprehensive data processing capabilities with support formultiple formats and transformations. It can handle JSON, YAML, and CSV fileswith automatic format detection. --port INTEGER Server port number [3000] --format STRING Output format [json] --verbose STRING Verbosity levelExamples: myapp process data.json --format yaml myapp validate config.toml --strictFor more information, visit https://example.com/docs
These documentation fields appear in both help output and error messages
(when configured), providing consistent context throughout your CLI's user
experience.
Display default values
A frequently requested feature is now available: showing default values
directly in help text. Enable this with the new showDefault option when
using withDefault():
Default values are automatically dimmed when colors are enabled, making them
visually distinct while remaining readable.
The help output shows default values clearly marked next to each option:
Usage: demo-defaults.ts [--port INTEGER] [--format STRING] --port INTEGER Server port number [3000] --format STRING Output format [json]
Temporal API support
Optique 0.4.0 introduces a new package, @optique/temporal, providing
comprehensive support for the modern Temporal API. This brings type-safe
parsing for dates, times, durations, and time zones:
import { instant, duration, zonedDateTime } from "@optique/temporal";import { option } from "@optique/core/parser";const parser = object({ // Parse ISO 8601 timestamps timestamp: option("--at", instant()), // Parse durations like "PT30M" or "P1DT2H" timeout: option("--timeout", duration()), // Parse zoned datetime with timezone info meeting: option("--meeting", zonedDateTime()),});
The temporal parsers return native Temporal objects with full functionality:
The merge() combinator now supports up to 10 parsers (previously 5), and
the tuple() parser has improved type inference using TypeScript's const
type parameter. These enhancements enable more complex CLI structures while
maintaining perfect type safety.
Breaking changes
While we've maintained backward compatibility for most APIs, there are a few
changes to be aware of:
The Parser.getDocFragments() method now uses DocState<TState> instead
of direct state values (only affects custom parser implementations)
The merge() combinator now enforces stricter type
constraints at compile time, rejecting non-object-producing parsers
Learn more
For a complete list of changes, bug fixes, and improvements, see the
full changelog.
We hope these improvements make building CLI applications with Optique even
more enjoyable. As always, we welcome your feedback and contributions on
GitHub.
We're excited to announce Optique 0.4.0, which brings significant improvements
to help text organization, enhanced documentation capabilities, and introduces
comprehensive Temporal API support.
Optique is a type-safe combinatorial CLI parser for TypeScript that makes
building command-line interfaces intuitive and maintainable. This release
focuses on making your CLI applications more user-friendly and maintainable.
Better help text organization
One of the most visible improvements in Optique 0.4.0 is the enhanced help text
organization. You can now label and group your options more effectively, making
complex CLIs much more approachable for users.
Labeled merge groups
The merge() combinator now accepts an optional label parameter, solving
a common pain point where developers had to choose between clean code structure
and organized help output:
// Before: unlabeled merged options appeared scatteredconst config = merge(connectionOptions, performanceOptions);// Now: group related options under a clear sectionconst config = merge( "Server Configuration", // New label parameter connectionOptions, performanceOptions);
This simple addition makes a huge difference in help text readability,
especially for CLIs with many options spread across multiple reusable modules.
The resulting help output clearly organizes options under
the Server Configuration section:
Demo app showcasing labeled merge groupsUsage: demo-merge.ts --host STRING --port INTEGER --timeout INTEGER --retries INTEGERServer Configuration: --host STRING Server hostname or IP address --port INTEGER Port number for the connection --timeout INTEGER Connection timeout in seconds --retries INTEGER Number of retry attempts
The new group() combinator
For cases where merge() doesn't apply, the new group()
combinator lets you wrap any parser with a documentation label:
// Group mutually exclusive options under a clear sectionconst outputFormat = group( "Output Format", or( map(flag("--json"), () => "json"), map(flag("--yaml"), () => "yaml"), map(flag("--xml"), () => "xml"), ));
This is particularly useful for organizing mutually exclusive flags, multiple
inputs, or any parser that doesn't natively support labeling. The resulting
help text becomes much more scannable and user-friendly.
Here's how the grouped output format options appear in the help text:
Demo app showcasing group combinatorUsage: demo-group.ts --json demo-group.ts --yaml demo-group.ts --xmlOutput Format: --json Output in JSON format --yaml Output in YAML format --xml Output in XML format
Rich documentation support
Optique 0.4.0 introduces comprehensive documentation fields that can be added
directly through the run() function, eliminating the need to modify parser
definitions for documentation purposes.
Brief descriptions, detailed explanations, and footers
Both @optique/core/facade and @optique/run now support brief,
description, and footer options through the run() function:
import { run } from "@optique/run";import { message } from "@optique/core/message";const result = run(parser, { brief: message`A powerful data processing tool`, description: message`This tool provides comprehensive data processing capabilities with support for multiple formats and transformations. It can handle JSON, YAML, and CSV files with automatic format detection.`, footer: message`Examples: myapp process data.json --format yaml myapp validate config.toml --strictFor more information, visit https://example.com/docs`, help: "option"});
These documentation fields appear in both help output and error messages
(when configured), providing consistent context throughout your CLI's user
experience.
The complete help output demonstrates the rich documentation features with brief
description, detailed explanation, option descriptions, default values,
and footer information:
A powerful data processing toolUsage: demo-rich-docs.ts [--port INTEGER] [--format STRING] --verbose STRINGThis tool provides comprehensive data processing capabilities with support formultiple formats and transformations. It can handle JSON, YAML, and CSV fileswith automatic format detection. --port INTEGER Server port number [3000] --format STRING Output format [json] --verbose STRING Verbosity levelExamples: myapp process data.json --format yaml myapp validate config.toml --strictFor more information, visit https://example.com/docs
These documentation fields appear in both help output and error messages
(when configured), providing consistent context throughout your CLI's user
experience.
Display default values
A frequently requested feature is now available: showing default values
directly in help text. Enable this with the new showDefault option when
using withDefault():
Default values are automatically dimmed when colors are enabled, making them
visually distinct while remaining readable.
The help output shows default values clearly marked next to each option:
Usage: demo-defaults.ts [--port INTEGER] [--format STRING] --port INTEGER Server port number [3000] --format STRING Output format [json]
Temporal API support
Optique 0.4.0 introduces a new package, @optique/temporal, providing
comprehensive support for the modern Temporal API. This brings type-safe
parsing for dates, times, durations, and time zones:
import { instant, duration, zonedDateTime } from "@optique/temporal";import { option } from "@optique/core/parser";const parser = object({ // Parse ISO 8601 timestamps timestamp: option("--at", instant()), // Parse durations like "PT30M" or "P1DT2H" timeout: option("--timeout", duration()), // Parse zoned datetime with timezone info meeting: option("--meeting", zonedDateTime()),});
The temporal parsers return native Temporal objects with full functionality:
The merge() combinator now supports up to 10 parsers (previously 5), and
the tuple() parser has improved type inference using TypeScript's const
type parameter. These enhancements enable more complex CLI structures while
maintaining perfect type safety.
Breaking changes
While we've maintained backward compatibility for most APIs, there are a few
changes to be aware of:
The Parser.getDocFragments() method now uses DocState<TState> instead
of direct state values (only affects custom parser implementations)
The merge() combinator now enforces stricter type
constraints at compile time, rejecting non-object-producing parsers
Learn more
For a complete list of changes, bug fixes, and improvements, see the
full changelog.
We hope these improvements make building CLI applications with Optique even
more enjoyable. As always, we welcome your feedback and contributions on
GitHub.
We're excited to announce Optique 0.4.0, which brings significant improvements
to help text organization, enhanced documentation capabilities, and introduces
comprehensive Temporal API support.
Optique is a type-safe combinatorial CLI parser for TypeScript that makes
building command-line interfaces intuitive and maintainable. This release
focuses on making your CLI applications more user-friendly and maintainable.
Better help text organization
One of the most visible improvements in Optique 0.4.0 is the enhanced help text
organization. You can now label and group your options more effectively, making
complex CLIs much more approachable for users.
Labeled merge groups
The merge() combinator now accepts an optional label parameter, solving
a common pain point where developers had to choose between clean code structure
and organized help output:
// Before: unlabeled merged options appeared scatteredconst config = merge(connectionOptions, performanceOptions);// Now: group related options under a clear sectionconst config = merge( "Server Configuration", // New label parameter connectionOptions, performanceOptions);
This simple addition makes a huge difference in help text readability,
especially for CLIs with many options spread across multiple reusable modules.
The resulting help output clearly organizes options under
the Server Configuration section:
Demo app showcasing labeled merge groupsUsage: demo-merge.ts --host STRING --port INTEGER --timeout INTEGER --retries INTEGERServer Configuration: --host STRING Server hostname or IP address --port INTEGER Port number for the connection --timeout INTEGER Connection timeout in seconds --retries INTEGER Number of retry attempts
The new group() combinator
For cases where merge() doesn't apply, the new group()
combinator lets you wrap any parser with a documentation label:
// Group mutually exclusive options under a clear sectionconst outputFormat = group( "Output Format", or( map(flag("--json"), () => "json"), map(flag("--yaml"), () => "yaml"), map(flag("--xml"), () => "xml"), ));
This is particularly useful for organizing mutually exclusive flags, multiple
inputs, or any parser that doesn't natively support labeling. The resulting
help text becomes much more scannable and user-friendly.
Here's how the grouped output format options appear in the help text:
Demo app showcasing group combinatorUsage: demo-group.ts --json demo-group.ts --yaml demo-group.ts --xmlOutput Format: --json Output in JSON format --yaml Output in YAML format --xml Output in XML format
Rich documentation support
Optique 0.4.0 introduces comprehensive documentation fields that can be added
directly through the run() function, eliminating the need to modify parser
definitions for documentation purposes.
Brief descriptions, detailed explanations, and footers
Both @optique/core/facade and @optique/run now support brief,
description, and footer options through the run() function:
import { run } from "@optique/run";import { message } from "@optique/core/message";const result = run(parser, { brief: message`A powerful data processing tool`, description: message`This tool provides comprehensive data processing capabilities with support for multiple formats and transformations. It can handle JSON, YAML, and CSV files with automatic format detection.`, footer: message`Examples: myapp process data.json --format yaml myapp validate config.toml --strictFor more information, visit https://example.com/docs`, help: "option"});
These documentation fields appear in both help output and error messages
(when configured), providing consistent context throughout your CLI's user
experience.
The complete help output demonstrates the rich documentation features with brief
description, detailed explanation, option descriptions, default values,
and footer information:
A powerful data processing toolUsage: demo-rich-docs.ts [--port INTEGER] [--format STRING] --verbose STRINGThis tool provides comprehensive data processing capabilities with support formultiple formats and transformations. It can handle JSON, YAML, and CSV fileswith automatic format detection. --port INTEGER Server port number [3000] --format STRING Output format [json] --verbose STRING Verbosity levelExamples: myapp process data.json --format yaml myapp validate config.toml --strictFor more information, visit https://example.com/docs
These documentation fields appear in both help output and error messages
(when configured), providing consistent context throughout your CLI's user
experience.
Display default values
A frequently requested feature is now available: showing default values
directly in help text. Enable this with the new showDefault option when
using withDefault():
Default values are automatically dimmed when colors are enabled, making them
visually distinct while remaining readable.
The help output shows default values clearly marked next to each option:
Usage: demo-defaults.ts [--port INTEGER] [--format STRING] --port INTEGER Server port number [3000] --format STRING Output format [json]
Temporal API support
Optique 0.4.0 introduces a new package, @optique/temporal, providing
comprehensive support for the modern Temporal API. This brings type-safe
parsing for dates, times, durations, and time zones:
import { instant, duration, zonedDateTime } from "@optique/temporal";import { option } from "@optique/core/parser";const parser = object({ // Parse ISO 8601 timestamps timestamp: option("--at", instant()), // Parse durations like "PT30M" or "P1DT2H" timeout: option("--timeout", duration()), // Parse zoned datetime with timezone info meeting: option("--meeting", zonedDateTime()),});
The temporal parsers return native Temporal objects with full functionality:
The merge() combinator now supports up to 10 parsers (previously 5), and
the tuple() parser has improved type inference using TypeScript's const
type parameter. These enhancements enable more complex CLI structures while
maintaining perfect type safety.
Breaking changes
While we've maintained backward compatibility for most APIs, there are a few
changes to be aware of:
The Parser.getDocFragments() method now uses DocState<TState> instead
of direct state values (only affects custom parser implementations)
The merge() combinator now enforces stricter type
constraints at compile time, rejecting non-object-producing parsers
Learn more
For a complete list of changes, bug fixes, and improvements, see the
full changelog.
We hope these improvements make building CLI applications with Optique even
more enjoyable. As always, we welcome your feedback and contributions on
GitHub.
We're excited to announce the release of BotKit 0.3.0! This release marks a significant milestone as #BotKit now supports #Node.js alongside #Deno, making it accessible to a wider audience. The minimum required Node.js version is 22.0.0. This dual-runtime support means you can now choose your preferred #JavaScript runtime while building #ActivityPub#bots with the same powerful BotKit APIs.
One of the most requested features has landed: poll support! You can now create interactive polls in your #bot messages, allowing followers to vote on questions with single or multiple-choice options. Polls are represented as ActivityPub Question objects with proper expiration times, and your bot can react to votes through the new onVote event handler. This feature enhances engagement possibilities and brings BotKit to feature parity with major #fediverse platforms like Mastodon and Misskey.
The web frontend has been enhanced with a new followers page, thanks to the contribution from Hyeonseo Kim (@gaebalgom)! The /followers route now displays a paginated list of your bot's followers, and the follower count on the main profile page is now clickable, providing better visibility into your bot's audience. This improvement makes the web interface more complete and user-friendly.
For developers looking for alternative storage backends, we've introduced the SqliteRepository through the new @fedify/botkit-sqlite package. This provides a production-ready SQLite-based storage solution with ACID compliance, write-ahead logging (WAL) for optimal performance, and proper indexing. Additionally, the new @fedify/botkit/repository module offers MemoryCachedRepository for adding an in-memory cache layer on top of any repository implementation, improving read performance for frequently accessed data.
This release also includes an important security update: we've upgraded to #Fedify 1.8.8, ensuring your bots stay secure and compatible with the latest ActivityPub standards. The repository pattern has been expanded with new interfaces and types like RepositoryGetMessagesOptions, RepositoryGetFollowersOptions, and proper support for polls storage through the KvStoreRepositoryPrefixes.polls option, providing more flexibility for custom implementations.
We're excited to announce the release of BotKit 0.3.0! This release marks a significant milestone as #BotKit now supports #Node.js alongside #Deno, making it accessible to a wider audience. The minimum required Node.js version is 22.0.0. This dual-runtime support means you can now choose your preferred #JavaScript runtime while building #ActivityPub#bots with the same powerful BotKit APIs.
One of the most requested features has landed: poll support! You can now create interactive polls in your #bot messages, allowing followers to vote on questions with single or multiple-choice options. Polls are represented as ActivityPub Question objects with proper expiration times, and your bot can react to votes through the new onVote event handler. This feature enhances engagement possibilities and brings BotKit to feature parity with major #fediverse platforms like Mastodon and Misskey.
The web frontend has been enhanced with a new followers page, thanks to the contribution from Hyeonseo Kim (@gaebalgom)! The /followers route now displays a paginated list of your bot's followers, and the follower count on the main profile page is now clickable, providing better visibility into your bot's audience. This improvement makes the web interface more complete and user-friendly.
For developers looking for alternative storage backends, we've introduced the SqliteRepository through the new @fedify/botkit-sqlite package. This provides a production-ready SQLite-based storage solution with ACID compliance, write-ahead logging (WAL) for optimal performance, and proper indexing. Additionally, the new @fedify/botkit/repository module offers MemoryCachedRepository for adding an in-memory cache layer on top of any repository implementation, improving read performance for frequently accessed data.
This release also includes an important security update: we've upgraded to #Fedify 1.8.8, ensuring your bots stay secure and compatible with the latest ActivityPub standards. The repository pattern has been expanded with new interfaces and types like RepositoryGetMessagesOptions, RepositoryGetFollowersOptions, and proper support for polls storage through the KvStoreRepositoryPrefixes.polls option, providing more flexibility for custom implementations.
We're excited to announce the release of BotKit 0.3.0! This release marks a significant milestone as #BotKit now supports #Node.js alongside #Deno, making it accessible to a wider audience. The minimum required Node.js version is 22.0.0. This dual-runtime support means you can now choose your preferred #JavaScript runtime while building #ActivityPub#bots with the same powerful BotKit APIs.
One of the most requested features has landed: poll support! You can now create interactive polls in your #bot messages, allowing followers to vote on questions with single or multiple-choice options. Polls are represented as ActivityPub Question objects with proper expiration times, and your bot can react to votes through the new onVote event handler. This feature enhances engagement possibilities and brings BotKit to feature parity with major #fediverse platforms like Mastodon and Misskey.
The web frontend has been enhanced with a new followers page, thanks to the contribution from Hyeonseo Kim (@gaebalgom)! The /followers route now displays a paginated list of your bot's followers, and the follower count on the main profile page is now clickable, providing better visibility into your bot's audience. This improvement makes the web interface more complete and user-friendly.
For developers looking for alternative storage backends, we've introduced the SqliteRepository through the new @fedify/botkit-sqlite package. This provides a production-ready SQLite-based storage solution with ACID compliance, write-ahead logging (WAL) for optimal performance, and proper indexing. Additionally, the new @fedify/botkit/repository module offers MemoryCachedRepository for adding an in-memory cache layer on top of any repository implementation, improving read performance for frequently accessed data.
This release also includes an important security update: we've upgraded to #Fedify 1.8.8, ensuring your bots stay secure and compatible with the latest ActivityPub standards. The repository pattern has been expanded with new interfaces and types like RepositoryGetMessagesOptions, RepositoryGetFollowersOptions, and proper support for polls storage through the KvStoreRepositoryPrefixes.polls option, providing more flexibility for custom implementations.
Fedify is an #ActivityPub server framework in #TypeScript & #JavaScript. It aims to eliminate the complexity and redundant boilerplate code when building a federated server app, so that you can focus on your business logic and user experience.
The key features it provides currently are:
Type-safe objects for Activity Vocabulary (including some vendor-specific extensions)
A simple, cross-runtime email library that works seamlessly on #Deno, #Node.js, #Bun, and edge functions. Zero dependencies, unified API, and excellent testability with built-in mock transport.
A simple, cross-runtime email library that works seamlessly on #Deno, #Node.js, #Bun, and edge functions. Zero dependencies, unified API, and excellent testability with built-in mock transport.
A simple, cross-runtime email library that works seamlessly on #Deno, #Node.js, #Bun, and edge functions. Zero dependencies, unified API, and excellent testability with built-in mock transport.
A simple, cross-runtime email library that works seamlessly on #Deno, #Node.js, #Bun, and edge functions. Zero dependencies, unified API, and excellent testability with built-in mock transport.
A simple, cross-runtime email library that works seamlessly on #Deno, #Node.js, #Bun, and edge functions. Zero dependencies, unified API, and excellent testability with built-in mock transport.
Fedify is an #ActivityPub server framework in #TypeScript & #JavaScript. It aims to eliminate the complexity and redundant boilerplate code when building a federated server app, so that you can focus on your business logic and user experience.
The key features it provides currently are:
Type-safe objects for Activity Vocabulary (including some vendor-specific extensions)
#Fedify is an #ActivityPub server framework in #TypeScript & #JavaScript. It aims to eliminate the complexity and redundant boilerplate code when building a federated server app, so that you can focus on your business logic and user experience.
The key features it provides currently are:
• Type-safe objects for Activity Vocabulary (including some vendor-specific extensions) • #WebFinger client and server • HTTP Signatures • Middleware for handling webhooks • #NodeInfo protocol • #Node.js, #Deno, and #Bun support • CLI toolchain for testing and debugging
If you're curious, take a look at the Fedify website! There's comprehensive docs, a demo, a tutorial, example code, and more: