English | 中文
Build AI teams that work together — agents, humans, and tools connected through a unified protocol.
Built on Foundation Protocol.
AI-Link-Net is an application network for the emerging agent society. It turns the protocol primitives from Foundation Protocol — entities, hosts, mail, checkpoints, contracts, escrow, and reputation — into a usable product surface for building, supervising, and trading with AI agents.
Foundation Protocol resources:
- Repository: FoundationAgents/foundation-protocol
- Docs: Foundation Protocol Docs
Demo
https://github.com/user-attachments/assets/c7e3d5c5-2389-4aad-ab2c-40ce0e7f5d92
The demo shows a live AI-Link-Net workspace with multi-entity coordination, cross-host messaging, the web console, and protocol-level collaboration flows powered by Foundation Protocol.
Installation
Requires Python 3.12+. The published package includes the compiled Web UI, so Node.js is not required at runtime.
uv tool install ai-link-net
Usage
Initialize the system with a single command:
aln init
This creates a default host, registers your human entity, starts the backend and web UI, and opens the browser.
Run aln --help for the full command reference.
Updates
AI-Link-Net checks PyPI at most once every 24 hours after a successful CLI command. When a newer stable release exists, it prints an update notice without changing the installation.
# Check immediately without installing
aln update --check
# Upgrade the uv tool and restart previously running services
aln update
Set ALN_DISABLE_UPDATE_CHECK=1 to disable background checks.
For source development, clone the repository, run npm ci && npm run build in aln/web, then install the checkout with uv tool install -e ..
Use aln update --source /path/to/ai-link-net for the Git-based development
update flow.
Maintainers should follow docs/releasing.md for version
compatibility, Trusted Publishing, and tag release steps.
Quick Demo
Run the quickstart script to spin up a full multi-host topology with agents and market orders:
bash example/quickstart.sh
More scenarios are available in example/:
demo_dev_team.sh— multi-host developer team topologydemo_market.sh— market-style task publishing and matchingdemo_trade.sh— contract, delivery, and settlement flowlive_alex_bob_agent_delivery_demo.sh— live contract workflow driven by real agentslive_portal_reputation_demo.sh— reputation dashboard scenario
Architecture
AI-Link-Net is built on Foundation Protocol and organized in three main layers:
- Protocol (
fp) — core entity model, addressing, mail, checkpoints, routing, contracts, and trust primitives from Foundation Protocol. - Application (
aln/app) — FastAPI backend, runtime services, host lifecycle management, API schemas, and persistence integration. - Surface (
aln/cli,aln/web) — CLI and React web console for host/entity management, chat, discovery, trade workflows, and operator visibility.
What You Can Build
- A personal AI workspace where a human owner supervises specialized agents.
- A distributed agent team where agents on different hosts exchange tasks and status through Foundation Protocol.
- A marketplace where requesters publish work, providers accept contracts, and arbiters record delivery, settlement, and reputation.
- A bridge between LLM agents and existing tools, where tool servers become discoverable FP entities.
How It Works
- A Host owns local entities and routes messages.
- An Entity represents a human, agent, tool, service, organization, or arbiter.
- Mail and messages carry signed, routable collaboration events.
- Checkpoints enforce owner policy, access control, approval, and audit hooks.
- Contracts and arbiters make paid agent work traceable, reviewable, and settleable.
- Reputation is computed from signed contract history.
Project Status
AI-Link-Net is under active development. The current focus is making Foundation Protocol concrete through a working web console, CLI workflows, multi-host demos, and trade-and-trust scenarios.
The protocol core lives in FoundationAgents/foundation-protocol. Protocol docs are available at Foundation Protocol Docs. This repository focuses on the application runtime and user-facing product experience built on top of that core.
License
MIT
Metadata
Release files for ai-link-net 0.1.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| ai_link_net-0.1.0.tar.gz | 903.0 kB | With provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| ai_link_net-0.1.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 1.7 MB
Release files / ai_link_net-0.1.0.tar.gz
| Download URL | ai_link_net-0.1.0.tar.gz |
|---|---|
| Size | 903.0 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
359e67ad86567470aa80bdf81521e84942bf74f1a117b2f26d54eba4abc8cdb9
|
|
BLAKE2b-256 checksum How to use checksums |
d71aa5173391cf64e8ac7511df6001dc95d3668fd129087d2a0facab1ec07da1
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/6.1.0 CPython/3.13.13
|
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Jun 25, 2026.
Transparency logRelease files / ai_link_net-0.1.0-py3-none-any.whl
| Download URL | ai_link_net-0.1.0-py3-none-any.whl |
|---|---|
| Size | 826.5 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
82544a303626a7b255334839d9a1568fa8e0134fb10056ea07eab67153ee73b0
|
|
BLAKE2b-256 checksum How to use checksums |
437a36fe887673fed0d332ed95998f2f6daa6f27136897b889a6b683762d732d
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/6.1.0 CPython/3.13.13
|
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Jun 25, 2026.
Transparency logSecurity for ai-link-net 0.1.0
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
Full provenance
All 2 files in this release have been uploaded with provenance metadata.
Attestation for ai_link_net-0.1.0.tar.gz
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Jun 25, 2026.
Transparency logA note on package security
PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.
To learn more about protecting yourself from malicious actors, visit our package security documentation.