CLI (chub) that lets coding agents search, fetch, and annotate curated, versioned API docs and agent skills — agents read inspectable, language-specific docs instead of noisy web search. Features: incremental fetch, local annotations, feedback-to-maintainers.
Runs LLM-driven coding agents as durable workflows on Vercel, orchestrating isolated sandbox VMs for repo work, shell and file tools, and optional auto-commit/PR flows — designed for cloud-hosted, resumable developer automation.
Compresses any context sent to LLMs (tool outputs, DB reads, RAG results, files, logs) to cut tokens by ~70–95% while preserving reversible originals; runs as a proxy or Python/TypeScript SDK with integrations for common agent frameworks.
Enables Pi to delegate tasks to focused child agents for code review, parallel audits, background jobs, and saved workflows. Supports foreground and background runs, session artifacts, worktree isolation, and built-in role agents to simplify orchestration.
Installs and manages reusable SKILL.md-based extensions for coding agents via a single npx CLI. Cross-agent support (40+ agents), flexible install scopes (project/global), and discovery rules make sharing and reusing agent behaviors simple.
Embeds Copilot's agentic workflows into applications via multi-language SDKs (TypeScript, Python, Go, .NET, Java, Rust). Uses the Copilot CLI runtime to handle planning, tool invocation, and file edits; supports BYOK and multiple auth methods.
Automates file management, document creation, and browser workflows on your desktop by running a local Electron agent; you bring API keys or run local models, control folder access, and save repeatable 'skills' for approved, auditable automation.
Pre-indexes a project's code into a local semantic knowledge graph that Claude Code can query—fewer tool calls and faster exploration with all data kept on-device. Features FTS5 search, call/impact analysis, auto-sync watcher, and multi-language support.
Provides an operator-grade system and reusable toolkit for building, running, and securing agentic workflows across multiple LLM harnesses — skills, hooks, memory, MCP integrations, and security scanning for production agent deployments.
Desktop-first agent client that composes LLM-driven agents into document-centric, multi-session workflows; it wires APIs, MCPs and local tools into shareable sessions, supports multiple LLM providers, and exposes a headless server + CLI for automation.