Agent orchestrator · Agent runtime / workspace

inference.sh

Quick answer: Builders who want an agent workspace/runtime with tools, flows, durable session memory, and a belt CLI for compounding skills across runtimes.

Best for

Builders who want an agent workspace/runtime with tools, flows, durable session memory, and a belt CLI for compounding skills across runtimes.

Skip if

You only need a cheap OpenAI-compatible inference key (use OpenRouter/Together) or a single local coding IDE/CLI.

Pros

AI workspace where agents use real tools (apps/flows/workers); multi-model one API; belt CLI installs evolving skills across Claude Code/Cursor/runtimes; durable agent state that compounds across sessions.

Cons

Not a BYOK inference provider like OpenRouter/Together — and not a drop-in Cursor/Claude Code replacement for git repos alone.

Facts

Locality:
Hybrid (local + cloud)
Surfaces:
CLI, Web
Maturity:
General availability
BYOK:
Bring your own API key
Free tier:
Free option available

Agent standards & memory

AGENTS.md: Delegates to agentsSKILL.md: SupportedRules / memory: Platform skills, knowledge stack, durable agent/session state.Free tier / pay-per-run.
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