py-ipfs-lite 0.1.0

Embeddable lightweight IPFS peer for Python (bootstrap phase)

py-ipfs-lite

py-ipfs-lite is a lightweight, embeddable Python IPFS peer built on top of py-libp2p. It provides the core features of IPFS (Blockstore, Bitswap, DHT, IPNI, IPNS, and IPLD DAGs) without the overhead of a heavy Kubo daemon.

It is designed to be highly interoperable with standard IPFS implementations like Kubo and go-ipfs-lite, natively supporting dag-cbor, CARv1 file import/export, Bitswap streaming, and more.

Features

• Embedded IPFS Node: Run a complete IPFS node purely in Python using trio or standard async.
• Bitswap Protocol: Interoperate and exchange blocks directly with Kubo daemons.
• KadDHT & IPNI Routing: Local block lookups with lightning-fast routing via the KadDHT network and Delegated HTTP IPNI (cid.contact).
• IPLD DAG Support: Fully supports dag-pb, dag-cbor, and dag-json for building decentralized knowledge graphs, versioned datasets, and agent memory chains.
• Offline Data Bundles (CAR): Export and import full or partial DAGs as Content Addressable aRchives (.car).
• IPNS Mutable Pointers: Publish and resolve cryptographically signed mutable pointers (IPNS).
• FastAPI HTTP Daemon: A drop-in, Kubo-compatible HTTP API exposing /api/v0 endpoints for adding files, fetching DAGs, and pinning.
• Prometheus Metrics: Integrated observability for garbage collection, block sizes, and Bitswap traffic.

Installation

py-ipfs-lite uses uv for dependency management.

# Clone the repository
git clone https://github.com/IPFS-Meshkit/py-ipfs-lite.git
cd py-ipfs-lite

# Install dependencies using uv
uv sync

Quickstart

1. The Python SDK (Embedded Peer)

You can run an IPFS peer directly inside your Python application using trio:

import trio
from py_ipfs_lite.peer import Peer
from py_ipfs_lite.config import Config

async def main():
    # Start an ephemeral in-memory peer
    peer = Peer(Config(blockstore_type="memory"), listen_addrs=["/ip4/127.0.0.1/tcp/0"])
    await peer.start()

    # Add a file
    cid = await peer.add_file("/path/to/my/file.txt")
    print(f"Added file with CID: {cid}")

    # Build an IPLD DAG
    node_cid = await peer.add_node({"title": "Hello World", "author": "py-ipfs-lite"}, codec="dag-cbor")
    print(f"Added DAG node with CID: {node_cid}")

    # Publish to IPNS
    ipns_name = await peer.publish_name(f"/ipfs/{node_cid}")
    print(f"Published to IPNS: {ipns_name}")

    await peer.close()

if __name__ == "__main__":
    trio.run(main)

2. The CLI Daemon & HTTP API

You can spin up py-ipfs-lite as a standalone daemon that provides a Kubo-compatible HTTP API.

# Run the daemon on port 4001, exposing the HTTP API on port 5001
uv run py-ipfs-lite daemon --api --api-port 5001

Then you can use the standard HTTP API to interact with it:

# Add a file
curl -X POST -F file=@test.txt http://127.0.0.1:5001/api/v0/add

# Fetch an IPLD node
curl -X POST "http://127.0.0.1:5001/api/v0/dag/get?arg=bafy..."

What's Next

I want to…	Go to…
Understand how py-ipfs-lite is structured internally	docs/architecture.md
Build verifiable AI agent memory / RAG pipelines	docs/guides/ai-agents-and-rag.md
Export a DAG as a CAR file for Filecoin storage	docs/guides/car-files-and-filecoin.md
Use IPNS mutable pointers and understand the trust model	docs/guides/ipns.md
Interoperate with a live Kubo daemon over Bitswap	docs/guides/interop-with-kubo.md
See the full list of all 21 examples with one-line descriptions	docs/reference/examples-index.md
Browse all documentation	docs/index.md

License

MIT License