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AIChat All-in-One LLM CLI mit Shell-Assistent und RAG

AIChat ist ein umfassendes LLM-Kommandozeilentool in Rust, das Chat-REPL, Shell-Befehlsgenerierung, RAG, KI-Tools und Multi-Provider-Unterstützung in einer einzigen Binärdatei vereint. Es verbindet sich mit über 20 LLM-Anbietern, darunter OpenAI, Claude, Gemini und Ollama.

Was ist AIChat All-in-One LLM CLI mit Shell-Assistent und RAG?

AIChat ist ein leistungsstarkes, in Rust geschriebenes CLI-Tool, das Entwicklern eine einheitliche Schnittstelle zu über 20 LLM-Anbietern wie OpenAI, Claude, Gemini und Ollama bietet. Es kombiniert mehrere Kernfunktionen: einen interaktiven Chat-REPL-Modus, die Generierung von Shell-Befehlen aus natürlicher Sprache, RAG (Retrieval-Augmented Generation) für die Einbindung eigener Wissensdatenbanken sowie KI-gestützte Werkzeuge. Der große Vorteil liegt in der All-in-One-Natur: Anstatt verschiedene Tools für Chat, Shell-Assistenz und RAG zu installieren, erhält der Anwender ein einzelnes, kompaktes Binary ohne externe Abhängigkeiten. Es eignet sich ideal für Entwickler, die schnell und effizient mit LLMs interagieren möchten – sei es zur Code-Generierung, Systemadministration oder für explorative Aufgaben – und dabei die Flexibilität haben, den Anbieter je nach Bedarf zu wechseln.

Funktioniert mit✓Claude Code✓Codex CLI~Cursor✓Gemini CLI
npx skills add https://github.com/agentskillexchange/skills/tree/main/skills/aichat-llm-cli-shell-assistant-rag
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In Ihrer bevorzugten KI fragen

Öffnet einen neuen Chat, in dem dieser Agent-Skill bereits geladen ist.

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Dokumentation

Was macht AIChat All-in-One LLM CLI mit Shell-Assistent und RAG?

AIChat ist ein umfassendes LLM-Kommandozeilentool in Rust, das Chat-REPL, Shell-Befehlsgenerierung, RAG, KI-Tools und Multi-Provider-Unterstützung in einer einzigen Binärdatei vereint. Es verbindet sich mit über 20 LLM-Anbietern, darunter OpenAI, Claude, Gemini und Ollama.

Installation

Grundlegende Verwendung und Einstiegsnotizen:

Quelle

Individual skills in this repo

This repo contains 20 individual skills — each has its own dedicated page.

Academic Paper Citation Network Mapper

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ACF Custom Fields REST Exposer

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Activepieces Open Source Workflow Automation

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ActivityWatch Cross-Platform Automated Time Tracker and Producti

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act Local GitHub Actions Runner

act is an open-source CLI tool that runs GitHub Actions workflows locally using Docker, enabling fast feedback on workflow changes without pushing to GitHub. It is a standard tool for local Actions development and testing.

Add a browser review checkpoint before risky agent actions with

Use AgentClick when an agent should pause before risky commands, plans, drafts, or code changes so a human can inspect, edit, approve, or reject them in a purpose-built browser UI.

Add Claude design-system and accessibility workflows with UX/UI

Use UX/UI Agent Skills when Claude should generate tokens, component specs, accessibility audits, and framework-specific UI code from a repeatable design workflow.

Add executable smoke tests for shell scripts and CLIs before ref

Use Bats-core when an agent needs to turn fragile shell scripts or command-line workflows into something it can verify repeatedly after edits. The agent writes focused Bash tests for success paths, failure paths, and output contracts, then runs them locally or in CI before a refactor, release, or incident fix goes out.

Add graph-backed memory and context retrieval to agent workflows

Use Cognee to ingest project knowledge into graph and vector memory so agents can retrieve durable context across sessions and workflows.

Add IDE-style semantic code navigation and symbol-safe refactors

Give a coding agent symbol-aware lookup, cross-file rename, and structural edit tools before it starts making brittle text-only changes.

Add managed long-term memory to LangGraph agents with LangMem

Give LangGraph agents memory management and search tools so they can store, retrieve, and update durable facts across sessions.

Add multimodal lifelong memory to MCP and Python agents with Sim

Use SimpleMem to store, compress, index, and retrieve text or multimodal memories for agents through MCP or Python integrations.

Add persistent project memory and hook-driven synthesis with Cla

Keep Claude Code sessions grounded in prior decisions, project context, and daily handoff notes instead of starting from zero every time.

Add Postgres-native vector retrieval to agent and RAG workflows

Store embeddings beside application data in Postgres, create vector indexes, and query nearest neighbors for semantic search, RAG, recommendations, or agent memory retrieval.

Address GitHub PR review comments from the current branch with g

Find the open PR for the current branch, gather unresolved review comments, and drive a focused comment-resolution workflow with gh-authenticated context.

Add runtime guardrails to TypeScript agents with VoltAgent

Use VoltAgent to intercept, validate, and enforce input/output policies in TypeScript agent workflows.

Add temporal context memory to agent workflows with Zep

Use Zep as an external context layer for agents that need to store events, assemble temporal graph context, and retrieve relevant memory before model calls.

Adobe Firefly API Batch Image Generator

Calls Adobe Firefly

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