Local first AI coding agent built for real software work.
Open-source local vector memory engine for AI agents — ingest documents, chunk content, generate embeddings, search locally, return metadata/citations, and integrate with MemoryLane and ContextLane.
Open-source screen-aware voice command layer for AI agents — capture screen context, transcribe voice, generate agent-ready commands, and send actions to Tera, Codra, Codex, OpenCode, or MCP tools.
Open-source context ingestion pipeline for persistent AI agents — turn files, folders, URLs, repos, and notes into structured memory with citations
Turn receipts, invoices and business documents into clean structured data through one API.
Open-source skill runtime and registry for AI agents — create, validate, install, run, and share reusable agent skills across Codex, OpenCode, Tera, Codra, MCP, and Talocode workflows.
Agent-native memory layer — persistent context, semantic recall, session history, SDK, CLI, API, and MCP for AI agents and developers.
Add a description, image, and links to the talocode topic page so that developers can more easily learn about it.
To associate your repository with the talocode topic, visit your repo's landing page and select "manage topics."