Python · pip install aither-adk

Agent fleets in three lines

Same code on your GPU, on Ollama, or on cloud APIs. Effort-based model routing, persistent memory and multi-agent coordination — without the lock-in.

bash
pip install aither-adk
adk quickstart
#   detects hardware, pulls models, configures backends
adk init my-agent && cd my-agent && python agent.py
3lines to start
2.42version
Anybackend
MITlicense

Why it exists

Most agent frameworks bind you to one provider. This one treats the backend as configuration.

routing

Effort-based routing

Declare how hard a task is; the selector picks a model to match. Trivial work does not pay for a frontier model.

backends

Runtime switching

vLLM, Ollama and cloud APIs behind one interface. Change the backend without touching agent code.

memory

Knowledge-graph memory

Agents keep durable, queryable memory across runs rather than restarting cold every session.

fleets

Multi-agent coordination

Compose agents into fleets with shared context, so work can be decomposed and run in parallel.

packs

Tool packs

Bundle tools, prompts and identity into a pack — a reusable unit an agent can be given wholesale.

local

Local or cloud

No GPU? Set an API key. Have one? It auto-detects. Both? It routes by task complexity.

Quick start

Install, set up inference, and run your first agent. The bootstrap installer handles Python for you if you would rather not manage it.

bash
# with Python already available
pip install aither-adk
adk quickstart
adk quickstart --cloud
adk start

# no Python? one line (macOS / Linux)
curl -fsSL https://aitherium.com/install.sh | sh

# Windows
powershell -ExecutionPolicy ByPass -c "irm https://aitherium.com/install.ps1 | iex"
Building something real? The Agent Dev Guide is the opinionated golden path — authoring a pack, never-forget RAG memory, BYO keys, and the gotchas worth skipping.