Plastic Labs
Official@plastic-labs · United States of America
Building at the intersection of human & machine learning.
Agent Skills by Plastic Labs
Showing 14 vetted skills indexed across 4 GitHub repositories.
plastic-labshoncho-memory
Stores and retrieves persistent AI conversation memory using the Honcho API.
plastic-labsverify
Launch and drive a local Honcho stack to verify code changes against the /v3 HTTP API.
plastic-labspre-pr
Validates Honcho changes against issue, test, and docs requirements before drafting pull request bodies.
plastic-labssillytavern-honcho-setup
Automate installation and configuration of the Honcho Memory extension for SillyTavern.
plastic-labshoncho-setup
Configure Honcho memory by setting an API key and validating the connection.
plastic-labshoncho-interview
Capture cross-project user preferences and environment details into Honcho memory.
plastic-labshoncho-status
Displays Honcho memory status and configuration for selected sessions and accounts.
plastic-labshoncho-config
Configure Honcho memory plugin settings through interactive menu-driven flows.
plastic-labsmigrate-ts
Migrate TypeScript code from @honcho-ai/sdk v1.6.0 to v2.0.0.
plastic-labsmigrate-py
Migrate Honcho Python SDK code from v1.6.0 to v2.0.0.
plastic-labsHoncho Python SDK Migration (v1.6.0 → v2.0.0)
Migrate Honcho Python SDK code from v1.6.0 to v2.0.0.
plastic-labshoncho-integration
Integrate Honcho memory and social cognition into Python or TypeScript projects.
plastic-labsmigrate-honcho-ts
Migrate Honcho TypeScript SDK code from v1.6.0 to v2.0.0.
plastic-labsmigrate-honcho
Migrate Honcho Python SDK code from v1.6.0 to v2.0.0.
Frequently Asked Questions About Plastic Labs
FAQPage SchemaWhat specific tasks are enabled by Plastic Labs memory integration?▼
These capabilities enable the capture of cross-project user preferences, environment details, and social cognition states. Users can validate connection status, manage configuration settings through interactive menus, and synchronize memory persistence across multiple accounts and sessions.
Which engineers should utilize these memory integration capabilities?▼
Software engineers and developers working with TypeScript or Python environments who require persistent memory and social cognition features. These capabilities are specifically designed for those integrating memory layers into existing projects or managing migrations between major version releases.
What are the prerequisites for configuring Honcho memory?▼
Configuration requires a valid credential key to establish a secure connection. Once the key is provided, the system validates the connection and allows for the adjustment of plugin settings through interactive menus to ensure proper memory status and session synchronization.