Skip to main content

Personal AI Lab

Project description

CLIver

CLIver

Personal AI Lab — Experimenting with AI agents in your terminal, as a Python library, or as a gateway service.


CLIver is an AI Agent research and experimentation project. It provides the building blocks to explore agent architectures — Re-Act loops, tool calling, skill activation, memory systems, and multi-agent orchestration — through a terminal CLI and an admin web UI.

A lab, not a product. CLIver is designed for tinkering. Swap models mid-conversation. Test how different system prompts change behavior. Add custom skills and tools to see what sticks.

Full-stack agent experimentation. Run interactively in the terminal, embed AgentCore as a Python library in your own experiments, or deploy as a gateway service with cron scheduling and messaging platform adapters.

Quick Start

pip install cliver

# Configure your LLM provider
cliver provider add --name deepseek --type openai \
  --api-url https://api.deepseek.com --api-key "DEEPSEEK_API_KEY"

# Configure a model
cliver model add -n deepseek-v4-flash --provider deepseek

# Start experimenting
cliver "What can you help me with?"

Built-in Capabilities

  • Model-agnostic — OpenAI + Anthropic protocols, any provider, switch on the fly
  • Built-in tools — file I/O, shell, web search, browser, memory, todo tracking, image generation
  • Skills system — LLM-activated domain expertise following the Agent Skills spec
  • Permission control — default, auto-edit, and YOLO modes with per-tool overrides
  • Persistent memory — remembers preferences and context across sessions
  • Gateway mode — daemon with cron scheduling, admin web UI, and messaging platform adapters
  • Embeddable APIAgentCore.chat() and .stream() for your own Python experiments

Documentation

Full documentation at cliver-project.github.io/CLIver

Development

git clone https://github.com/cliver-project/CLIver.git
cd CLIver

make init     # Set up dev environment
make test     # Run tests
make lint     # Lint and format check
make format   # Auto-fix lint/format issues

make docs-serve  # Start docs website (hot reload)
make docs-build  # Build docs to static files

License

Apache 2.0

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

cliver-0.2.0.tar.gz (662.7 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

cliver-0.2.0-py3-none-any.whl (734.0 kB view details)

Uploaded Python 3

File details

Details for the file cliver-0.2.0.tar.gz.

File metadata

  • Download URL: cliver-0.2.0.tar.gz
  • Upload date:
  • Size: 662.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: uv/0.11.17 {"installer":{"name":"uv","version":"0.11.17","subcommand":["publish"]},"python":null,"implementation":{"name":null,"version":null},"distro":{"name":"Ubuntu","version":"24.04","id":"noble","libc":null},"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":true}

File hashes

Hashes for cliver-0.2.0.tar.gz
Algorithm Hash digest
SHA256 6ac893ca35ec88fb671f52059701e101d29c924da0bc458a8a46abb29e0f024d
MD5 0f3b405bb5326df852fa5d87f8bd9088
BLAKE2b-256 079456605c75b0a7551b045d89abcb770ae9cb6959d822bd6f84bfd9ca076104

See more details on using hashes here.

File details

Details for the file cliver-0.2.0-py3-none-any.whl.

File metadata

  • Download URL: cliver-0.2.0-py3-none-any.whl
  • Upload date:
  • Size: 734.0 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: uv/0.11.17 {"installer":{"name":"uv","version":"0.11.17","subcommand":["publish"]},"python":null,"implementation":{"name":null,"version":null},"distro":{"name":"Ubuntu","version":"24.04","id":"noble","libc":null},"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":true}

File hashes

Hashes for cliver-0.2.0-py3-none-any.whl
Algorithm Hash digest
SHA256 484439a50799507b3330f1757db58582544190d4929b036f9c80bff2df92f49f
MD5 f2b73cc0cbb8096f28547f735bc0a937
BLAKE2b-256 60962747d8b904ff337c07033a4b992cbf6731bab43f514ec7235634f4eabea4

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page