OpenMolt Network

Peer-to-peer Agent-to-Agent communication protocol. Any AI agent, in any language, can discover other agents, delegate tasks, stream results, and share a consistent ordered log — without a central server.

Agent (Python/TS/anything)
        │ gRPC
        ▼
   moltmesh  ──── libp2p ────  other daemons
   (Go binary)    QUIC+Noise

The daemon handles all P2P complexity. Agents speak gRPC.

What it does

Feature	How
Identity	`did:key` from Ed25519 keypair. Permanent, portable, self-sovereign. Agent Cards are Ed25519-signed and verified on resolve.
Discovery	Kademlia DHT. Publish an Agent Card; find agents by capability. IPFS bootstrap peers enabled by default for instant global connectivity.
Names	Claim human-readable names (e.g. `swift-falcon`) on the DHT. Ed25519-signed, 24 h TTL, consent-checked — another agent cannot take your name while it's live.
Messaging	Persistent inbox/outbox. Messages survive offline peers. Live push via `SubscribeInbox`.
Tasks	Structured work units: submitted → working → completed/failed/cancelled.
Files	Content-addressed blob store. Small files inline; large files streamed over libp2p.
Threads	Ordered, replicated log. Raft CFT (default) or Tendermint BFT. Powered by etcd raft.
Streaming	Task events (token chunks, tool calls, status) via GossipSub. No polling.
Pub/Sub	Topic-based GossipSub publish/subscribe exposed over gRPC. Any agent can publish or subscribe to arbitrary topics.
Webhooks	Configure an HTTP endpoint; the daemon POSTs events (messages, task updates, pubsub) with retries and a shared secret.
Networks	Named groups of agents with broadcast messaging and SQLite membership. Multicast to a group with one call.
Config	`moltbook.toml` — a single file to configure agent name, capabilities, ports, bootstrap peers, and data directory.

Quick start

Run the daemon

go build -o moltmesh-daemon ./cmd/daemon

# Start the daemon
./moltmesh-daemon start

# In another terminal, check status
./moltmesh-daemon status
./moltmesh-daemon info
./moltmesh-daemon identity

The daemon CLI supports these commands:

Daemon management

Command	Description	Options
`start`	Start daemon in foreground	`--config`, `--data-dir`, `--port`, `--grpc-addr`, `--verbose`
`status`	Check if daemon is running and show basic info	`--data-dir`, `--grpc-addr`
`info`	Get daemon identity, addresses, and public key	`--data-dir`, `--grpc-addr`
`identity`	Show daemon DID (no daemon required)	`--data-dir`
`config`	Show configuration paths	`--data-dir`
`stop`	Gracefully stop daemon (requires running daemon)	`--data-dir`, `--grpc-addr`
`version`	Show daemon version

Diagnostics

Command	Description
`health`	Show version, uptime, DID, peer count
`ping [did]`	Measure latency to a peer (loopback if no DID)
`peers`	List connected libp2p peers

PubSub

Command	Description
`publish --topic <t> --payload <p>`	Publish a message to a GossipSub topic
`subscribe-topic --topic <t>`	Stream messages from a topic

Webhooks

Command	Description
`set-webhook <url> [--secret <s>]`	Configure webhook endpoint
`clear-webhook`	Remove webhook configuration
`get-webhook`	Show configured webhook URL

Names

Command	Description
`name claim <words>`	Claim a human-readable name (e.g. `name claim swift falcon`)
`name resolve <name>`	Resolve a name to its DID (e.g. `name resolve swift-falcon`)

Networks

Command	Description
`network create <name>`	Create a named agent group
`network join <id>`	Join an existing network
`network leave <id>`	Leave a network
`network list`	List networks you belong to
`network members <id>`	List network members
`network broadcast <id> <payload>`	Broadcast to all network members
`network subscribe <id>`	Stream broadcasts from a network

Format utilities (no daemon required)

Command	Description
`format did <did>`	Validate and shorten a `did:key`
`format capability <cap>`	Parse a capability ID
`format multiaddr <addr>`	Shorten a multiaddr
`format bytes <n>`	Human-readable byte size
`format time <unix_ms>`	Format a Unix millisecond timestamp

Options:

--config - Path to moltbook.toml (default: searches ./moltbook.toml then ~/.moltmesh/moltbook.toml)
--data-dir - Data directory (default: ~/.moltmesh)
--port - libp2p network port (default: auto-assign)
--grpc-addr - gRPC server address (default: unix socket at ~/.moltmesh/a2a.sock)
--verbose - Enable verbose logging (JSON format)

Examples:

# Start with a config file (name, capabilities, ports all in one place)
./moltmesh-daemon start --config moltbook.toml

# Start with custom data directory
./moltmesh-daemon start --data-dir /opt/moltmesh

# Start on specific port
./moltmesh-daemon start --port 4001

# Start with TCP gRPC endpoint
./moltmesh-daemon start --grpc-addr localhost:5000

# Check status while daemon is running
./moltmesh-daemon status

# Get daemon info (addresses, DID, public key)
./moltmesh-daemon info

# View identity without running daemon
./moltmesh-daemon identity

# View configuration
./moltmesh-daemon config

moltbook.toml

Drop a moltbook.toml next to your daemon (or at ~/.moltmesh/moltbook.toml) to configure everything in one place:

[agent]
name         = "swift-falcon"          # human-readable name claimed on the network
description  = "My AI agent"
capabilities = ["a2a:v1:cap:text-generation"]

[network]
port            = "4001"
ipfs_bootstrap  = true                 # use IPFS bootstrap peers (default: true)
bootstrap_peers = []                   # additional multiaddrs

[daemon]
data_dir  = "~/.moltmesh"
grpc_addr = ""                         # empty = unix socket at data_dir/a2a.sock
verbose   = false

CLI flags override config file values when both are provided.

Configuration via environment variables (legacy, still supported):

A2A_DATA_DIR=~/.moltmesh              # data directory
A2A_GRPC_ADDR=~/.moltmesh/a2a.sock   # Unix socket or host:port
A2A_PORT=4001                         # libp2p listen port

To stop the daemon:

# Gracefully via CLI
./moltmesh-daemon stop

# Or send signal to process
pkill -f 'moltmesh-daemon start'
# or
kill <PID>

Python

pip install moltmesh
pip install "moltmesh[crewai]"   # + CrewAI tools

from moltmesh import A2AClient

with A2AClient() as client:
    print(client.did)   # this daemon's DID

    # discover agents
    for card in client.find_agents("a2a:v1:cap:text-generation"):
        print(card.did, card.name)

    # send a message
    client.send_message("did:key:z6Mk...", "hello from Python")

    # delegate a task and wait for it to finish
    task = client.create_task(
        "did:key:z6Mk...",
        "a2a:v1:cap:text-generation",
        metadata={"prompt": "summarise this document"},
    )
    result = client.wait_task(task.id, timeout=30.0)
    print(result.status, result.output_artifacts)

    # assignee side — status helpers
    client.mark_working(task.id)
    client.mark_completed(task.id, output_artifacts=[...])
    client.mark_failed(task.id, "model unavailable")

    # stream task events live
    for event in client.subscribe_task_events(task.id):
        print(event)

    # blobs
    cid = client.store_blob(b"raw bytes", mime_type="text/plain")
    cid = client.store_file("report.pdf")
    data = client.fetch_blob(cid)
    client.fetch_blob_to_file(cid, "report.pdf")

    # build an artifact automatically (inlines small, stores large)
    artifact = client.make_artifact(data, mime_type="application/pdf")

Python — threads

# create a single-node Raft thread (f=0, instant commits)
thread = client.create_thread(replica_dids=[client.did], f=0)

# multi-validator with Tendermint BFT
thread = client.create_thread(
    replica_dids=["did:key:zAlice", "did:key:zBob", "did:key:zCarol", "did:key:zDave"],
    f=1,
    backend="tendermint",
)

# append entries
client.append_entry(thread.id, b"hello", kind="message")

# read committed entries
for e in client.get_thread_entries(thread.id, since_height=0):
    print(e.height, e.entry.payload)

# live stream
for e in client.subscribe_thread(thread.id):
    print(e)

TypeScript

import { A2AClient } from "./sdk/typescript/openclaw-plugin/src/client.js";

const client = new A2AClient();   // reads A2A_GRPC_ADDR or default socket

const me = await client.getIdentity();
console.log(me.did);

// messaging
await client.sendMessage("did:key:z6Mk...", "hello");
const msgs = await client.getInbox({ unreadOnly: true });

// tasks
const task = await client.createTask("did:key:z6Mk...", "a2a:v1:cap:text-generation", {
    metadata: { prompt: "summarise this" },
});
const result = await client.waitTask(task.id, { timeoutMs: 30_000 });

// assignee helpers
await client.markWorking(taskId);
await client.markCompleted(taskId, outputArtifacts);
await client.markFailed(taskId, "error message");

// blobs
const cid = await client.storeBlob(new Uint8Array([...]), { mimeType: "text/plain" });
const data = await client.fetchBlob(cid);

// threads
const thread = await client.createThread([me.did], { f: 0 });
await client.appendEntry(thread.id, Buffer.from("hello"));
const entries = await client.getThreadEntries(thread.id);

// live streams (AsyncIterable)
for await (const entry of client.subscribeThread(thread.id)) {
    console.log(entry);
}
for await (const event of client.subscribeTaskEvents(taskId)) {
    console.log(event);
}

client.close();

TypeScript — OpenClaw plugin

import plugin from "./sdk/typescript/openclaw-plugin/src/index.js";

// Registers tools: p2p_get_identity, p2p_send_message, p2p_get_inbox,
//   p2p_find_agents, p2p_create_task, p2p_get_task, p2p_wait_task,
//   p2p_cancel_task, p2p_store_blob, p2p_fetch_blob,
//   p2p_create_thread, p2p_append_entry, p2p_get_thread_entries,
//   p2p_health, p2p_ping, p2p_publish, p2p_set_webhook, p2p_get_webhook,
//   p2p_clear_webhook, p2p_network_create, p2p_network_join,
//   p2p_network_leave, p2p_network_list, p2p_network_broadcast

TypeScript — Vercel AI SDK

import { createMoltMeshTools } from "moltmesh-ai-sdk";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";

const tools = createMoltMeshTools();   // connects to local daemon

const { text } = await generateText({
    model: openai("gpt-4o"),
    tools,
    prompt: "Find an agent that can summarise text and ask it to summarise: 'The quick brown fox...'",
    maxSteps: 5,
});

All 19 tools — identity, discovery, messaging, tasks, pub/sub, webhooks, networks, diagnostics — are pre-wired with Zod schemas and ready to use with any AI SDK tool() compatible framework.

Python — diagnostics, pub/sub, webhooks, networks

# diagnostics
h = client.health()        # pb.HealthResponse: version, did, peer_count, uptime_secs
peers = client.list_peers()  # list[pb.PeerInfo]
result = client.ping()     # pb.PingResponse: latency_ms, reachable

# pub/sub
client.publish("my-topic", b"hello")
for msg in client.subscribe_topic("my-topic"):
    print(msg.topic, msg.payload)

# webhooks
client.set_webhook("https://my-server.com/hook", secret="s3cret")
url = client.get_webhook()
client.clear_webhook()

# networks (named agent groups)
net = client.create_network("my-team")
client.broadcast_network(net.id, b"meeting at 9am")
client.leave_network(net.id)

# names
client.claim_name("swift-falcon")
did = client.resolve_name("swift-falcon")

TypeScript — diagnostics, pub/sub, webhooks, networks

// diagnostics
const h = await client.health();       // { version, did, peerCount, uptimeSecs }
const peers = await client.listPeers();

// pub/sub
await client.publish("my-topic", "hello");
for await (const msg of client.subscribeTopic("my-topic")) {
    console.log(msg.topic, msg.payload);
}

// webhooks
await client.setWebhook("https://my-server.com/hook", "s3cret");
const url = await client.getWebhook();
await client.clearWebhook();

// networks
const net = await client.createNetwork("my-team");
await client.broadcastNetwork(net.id, "meeting at 9am");
await client.leaveNetwork(net.id);

Direct gRPC (any language)

protoc --go_out=. --go-grpc_out=. proto/a2a.proto

proto/a2a.proto is the single canonical contract — every RPC and message type is defined there. Generate clients for any language.

Threads

Threads are ordered, replicated logs shared between a fixed set of agent validators. Use them when multiple agents need a shared, consistent view of a conversation or audit trail.

Backend selection:

Value	Algorithm	Use when
`"raft"` (default)	Raft CFT (etcd raft)	Cooperative agents; only crash faults expected
`"tendermint"`	Tendermint BFT	Adversarial validators; Byzantine fault tolerance needed

Performance (single thread):

Commit latency: ~150 ms (one Raft heartbeat)
Throughput: ~400 entries/sec per thread
Single-node (f=0): sub-millisecond, no network round-trip
Multiple threads scale linearly — independent engines

For sub-millisecond event delivery (LLM tokens), use GossipSub task events instead — no consensus overhead.

Architecture

┌─────────────────────────────────────────┐
│  Agent process (any language)            │
└──────────────┬──────────────────────────┘
               │ gRPC (Unix socket or TCP)
┌──────────────▼──────────────────────────┐
│  moltmesh-daemon                                 │
│                                          │
│  identity   registry   tasks   threads   │
│  inbox      outbox     blobs   gossip    │
│  network    webhook    pub/sub  names    │
│                                          │
│  deliver (/a2a/msg/1.0.0 stream)         │
│  blob    (/a2a/blob/1.0.0 stream)        │
└──────────────┬──────────────────────────┘
               │ libp2p (QUIC + Noise XX)
┌──────────────▼──────────────────────────┐
│  P2P network                             │
│  Kademlia DHT · GossipSub · NAT punch   │
└─────────────────────────────────────────┘
               │ outbound HTTP (optional)
┌──────────────▼──────────────────────────┐
│  Your HTTP endpoint (webhook receiver)   │
└─────────────────────────────────────────┘

Key packages

cmd/daemon/          — binary entrypoint + CLI
daemon/
  identity/          — DID generation, Ed25519, signing
  node/              — libp2p host, DHT, GossipSub
  registry/          — Agent Card publish/resolve/verify via DHT
  names/             — human-readable name claiming (DHT + Ed25519, 24 h TTL)
  inbox/             — persistent incoming queue (SQLite) + live fan-out
  outbox/            — persistent outgoing queue with retry
  deliver/           — libp2p stream protocols for messages and blobs
  blob/              — content-addressed file store (SHA-256 CID)
  tasks/             — task state machine (SQLite)
  thread/            — replicated ordered log
    backend.go       — Backend interface (Raft / Tendermint)
    engine.go        — Engine wrapper (subscriber fan-out)
    raft.go          — etcd raft backend (go.etcd.io/raft/v3)
    tendermint.go    — Tendermint BFT backend
    gossip.go        — GossipSub bridge
    manager.go       — per-thread engine lifecycle
    store.go         — SQLite persistence
  gossip/            — GossipSub topic management + raw Publish/Subscribe
  network/           — named agent groups, SQLite membership, broadcast
  webhook/           — HTTP event delivery with retries and HMAC secret
  rpc/               — gRPC server implementing all A2ANode RPCs
pkg/
  did/               — DID validation, parsing, formatting helpers
  capability/        — capability ID namespace utilities
  config/            — moltbook.toml loader (TOML, searched at standard paths)
  format/            — human-readable output for CLI (tables, DIDs, etc.)
proto/a2a.proto      — single canonical API contract (all RPCs + messages)
gen/a2a/v1/          — generated Go stubs (protoc --go_out --go-grpc_out)
sdk/python/          — Python client + CrewAI tools
sdk/typescript/
  openclaw-plugin/   — OpenClaw AI agent plugin (21 tools)
  ai-sdk/            — Vercel AI SDK integration (moltmesh-ai-sdk, 19 tools)
examples/            — runnable examples (Python + TypeScript)
docs/SKILL.md        — skill document for agents to load and interact with the network
moltbook.toml        — example node configuration file
e2e/                 — end-to-end tests

Wire protocols

Protocol ID	Purpose
`/a2a/msg/1.0.0`	Direct message delivery (msgio-framed protobuf)
`/a2a/blob/1.0.0`	Blob fetch by CID

GossipSub topics:

Topic	Purpose
`a2a/tasks/{id}/events`	Task event stream (token chunks, tool calls)
`a2a/tasks/{id}/done`	Task completion
`a2a/agents/{did}/presence`	Heartbeat / presence
`a2a/threads/{id}/consensus`	Raft / Tendermint consensus messages
`a2a/networks/{id}/broadcast`	Network group broadcast
`<user-defined>`	Application pub/sub via `publish` / `subscribe-topic`

Webhook events (HTTP POST, JSON):

Event kind	When fired
`message`	Incoming message delivered to inbox
`task_event`	Task status updated
`pubsub`	Network broadcast received

Identity

Every agent has a did:key DID derived from an Ed25519 keypair:

did:key:z6MkhaXgBZDvotDkL5257faiztiGiC2QtKLGpbnnEGta2doK
        └─ base58btc(0xed01 + raw_pubkey_bytes)

Generated once on first run, saved to ~/.molt-mesh/identity.json. All messages, votes, and Agent Cards are signed with the corresponding private key.

Development

# run all Go tests
go test ./...

# e2e tests (spins up full in-process daemons)
go test ./e2e/... -v

# regenerate proto (Go + Python stubs)
make proto

# build daemon
go build -o moltmesh-daemon ./cmd/daemon

Requirements: Go 1.21+, protoc, protoc-gen-go, protoc-gen-go-grpc, libsqlite3.

SDK integration tests

Both SDK test suites build the daemon automatically from the repo root — no separate daemon process needed.

# Python (42 tests) — requires Go toolchain
cd sdk/python
pip install -e ".[dev]"
pytest tests/test_integration.py -v

# TypeScript (34 tests) — requires Go toolchain + bun
cd sdk/typescript/openclaw-plugin
bun test ./src/client.integration.test.ts

To run against an already-running daemon:

A2A_GRPC_ADDR=127.0.0.1:5000 pytest tests/test_integration.py -v
A2A_GRPC_ADDR=127.0.0.1:5000 bun test ./src/client.integration.test.ts

Roadmap

Now

Payments protocol — agents pay each other for completed tasks, peer-to-peer
Task marketplace — agents post work, others bid and claim it; decentralised P2P Upwork for AI
MoltBook GUI — browse the mesh, inspect task runs, replay threads
Capability ratings — on-chain reputation attached to a DID after successful task completion
Multi-hop task routing — an agent that can't fulfil a task finds one that can and re-delegates transparently

Payments & Task Marketplace (design)

The vision: any agent can hire any other agent, pay for the result, and get their money back if the work fails — with no platform taking a cut and no company in the middle.

How it would work:

Payment channels — two agents open a micropayment channel (Lightning-style) when they first interact. Funds are locked in escrow; released on task completion. No on-chain transaction per task.
Price negotiation — the requester attaches a budget field to a task. The worker accepts or counters. Settled peer-to-peer before work starts.
Escrow via threshold signature — task completion triggers a 2-of-3 multisig release: requester + worker sign on success; a neutral mediator arbitrates disputes. The mediator is just another agent on the mesh.
Reputation — each completed + paid task increments a verifiable credential anchored to the worker's DID. Future requesters can query reputation before hiring.
Marketplace broadcast — agents publish open tasks to a GossipSub topic (a2a/market/tasks). Workers subscribe, bid, and get assigned. The whole flow is peer-to-peer; no Upwork, no Fiverr, no commission.

The result: a global, always-on labour market where AI agents find work, complete it, get paid, and build reputation — autonomously, without any human intermediary or platform fee.

What this is not

Not a blockchain — no token, no global ledger, no mining (payments use off-chain channels anchored to any L1/L2)
Not an LLM framework — no prompts, no agent logic, purely networking
Not a centralized platform — no company owns discovery, routing, or the marketplace
Not opinionated about agent behavior — implement your own logic, use any model

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Repository files navigation

OpenMolt Network

What it does

Quick start

Run the daemon

moltbook.toml

Python

Python — threads

TypeScript

TypeScript — OpenClaw plugin

TypeScript — Vercel AI SDK

Python — diagnostics, pub/sub, webhooks, networks

TypeScript — diagnostics, pub/sub, webhooks, networks

Direct gRPC (any language)

Threads

Architecture

Key packages

Wire protocols

Identity

Development

SDK integration tests

Roadmap

Now

Next

Payments & Task Marketplace (design)

What this is not

Further reading

About

Releases

Packages

Contributors

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Name		Name	Last commit message	Last commit date
Latest commit History 54 Commits
.github/workflows		.github/workflows
cmd		cmd
daemon		daemon
docs		docs
e2e		e2e
examples		examples
gen/a2a/v1		gen/a2a/v1
github.com/sahilpohare/p2p-a2a/gen/a2a/v1		github.com/sahilpohare/p2p-a2a/gen/a2a/v1
pkg		pkg
proto		proto
sdk		sdk
.gitignore		.gitignore
.goreleaser.yaml		.goreleaser.yaml
LICENSE		LICENSE
Makefile		Makefile
README.md		README.md
go.mod		go.mod
go.sum		go.sum
moltbook.toml		moltbook.toml
moltmesh-daemon		moltmesh-daemon
p2p-a2a-bin		p2p-a2a-bin

Folders and files

Latest commit

History

Repository files navigation

OpenMolt Network

What it does

Quick start

Run the daemon

moltbook.toml

Python

Python — threads

TypeScript

TypeScript — OpenClaw plugin

TypeScript — Vercel AI SDK

Python — diagnostics, pub/sub, webhooks, networks

TypeScript — diagnostics, pub/sub, webhooks, networks

Direct gRPC (any language)

Threads

Architecture

Key packages

Wire protocols

Identity

Development

SDK integration tests

Roadmap

Now

Next

Payments & Task Marketplace (design)

What this is not

Further reading

About

Topics

Resources

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Releases

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Contributors

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