thronglets 0.7.11

Local AI substrate for agents with sparse signals, hooks, and optional adapters

Thronglets

AI-first decision substrate for coding agents.

This Python package installs the thronglets CLI wrapper and downloads a matching prebuilt native binary from the official GitHub release.

Install

pip install thronglets
thronglets version --json
thronglets start

That is the whole normal first-device path.

For day-to-day use, the user path stays:

• first device: thronglets start
• primary device shares: thronglets share
• second device joins: thronglets join
• status page: thronglets status

thronglets start now:

• configures known local adapters for Claude Code, Codex, and OpenClaw
• runs the same bootstrap health pass used by the machine-facing flow
• reports restart required and next steps directly

The installed thronglets command now always runs the installed release binary. If you are developing Thronglets itself, use the explicit source path instead:

cargo run --quiet -- start

Sparse Signals

Thronglets is not an 8-layer context dump anymore. It emits sparse decision guidance:

• avoid
• do next
• maybe also
• context

The hot path stays silence-by-default and budgeted for latency and tokens.

Machine Bootstrap

If an AI wants to configure itself directly, use the machine-facing contract:

thronglets detect --json
thronglets install-plan --agent codex --json
thronglets apply-plan --agent codex --json
thronglets doctor --agent codex --json

Or do it in one step:

thronglets bootstrap --agent codex --json

Generic Contract

Unknown runtimes should bootstrap through the universal hook contract:

thronglets install-plan --agent generic --json

Network

thronglets run --bootstrap /ip4/47.93.32.88/tcp/4001

Links

• GitHub

License

MIT