Meshpocalypse Semantic
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    Meshpocalypse Semantic

    @one137th/mesh โ€” Meshpocalypse

    Secure agent coordination infrastructure for multi-agent AI teams โ€” works with LangGraph, CrewAI, AutoGen, OpenClaw, or any HTTP client.

    For engineers: Semantic mesh layer built on NATS + Oxigraph โ€” TLS + Ed25519 signed envelopes, SPARQL routing, JSON-LD/CRDT bridge, W3C PROV-O provenance, and AI framework adapters. ๐Ÿ“– Plain English Wiki

    CI npm version License: FSL-1.1-ALv2


    When your AI agents need to coordinate, they typically do it through the LLM โ€” which is slow (2โ€“10 seconds), burns tokens, and drops around 5% of messages. There's no shared memory, no audit trail, and no way to enforce trust between agents.

    Meshpocalypse fixes this. Drop it into any agent framework โ€” LangGraph, CrewAI, AutoGen, or plain HTTP โ€” and your agents get a shared knowledge graph, sub-100ms direct messaging, deterministic routing, and a tamper-proof audit trail.

    Capability Before (LLM round-trip) After (Meshpocalypse)
    Agent-to-agent messaging 2โ€“10s, 1Kโ€“3K tokens Direct via NATS (sub-100ms over direct NATS; see benchmarks/)
    Shared knowledge Each agent isolated Live SPARQL graph shared across all agents
    Finding the right agent LLM guesses Deterministic SPARQL query in milliseconds
    Trust enforcement None 5-level ATF framework with SHACL validation
    Message delivery guarantee ~95% >99.9% with ACK + retry + circuit breaker
    Audit trail None W3C PROV-O tamper-evident chain
    Transport security Plaintext TLS + Ed25519 signed envelopes

    ๐Ÿ“– Why Meshpocalypse? See docs/guides/why-meshpocalypse.md for the full comparison against LangGraph, AutoGen, and CrewAI.

    Meshpocalypse is infrastructure, not a framework. It sits underneath your orchestration layer โ€” not instead of it.

    Meshpocalypse LangGraph AutoGen CrewAI
    What it is Agent coordination bus Workflow engine LLM chat coordination Agent framework
    Routing mechanism NATS + SPARQL (deterministic) LLM calls LLM chat rounds LLM calls
    Agent-to-agent latency Sub-100ms (NATS direct) 2โ€“10s per hop 2โ€“10s per hop 2โ€“10s per hop
    Shared state CRDT + SPARQL graph Checkpointing None built-in None built-in
    Audit trail W3C PROV-O tamper-evident None None None
    Transport security TLS + Ed25519 signed envelopes None built-in None built-in None built-in
    Framework lock-in None โ€” adapts to any framework LangGraph only AutoGen only CrewAI only
    Use together? โœ… Yes โ€” mesh sits underneath โœ… Use LangGraph on top โœ… Use AutoGen on top โœ… Use CrewAI on top

    Component Status
    NATS transport + Oxigraph SPARQL graph โœ… Production-ready
    Security layer (TLS, Ed25519, CRDT signing, CF JWT) โœ… Production-ready (v1.4.0)
    HTTP/REST Gateway, SwarmNode API โœ… Production-ready (v1.3.0)
    LangGraph / CrewAI / AutoGen adapters โœ… Stable
    Cloudflare Durable Objects cloud tier ๐Ÿ”ง Architecture designed; additional implementation work required
    LoRa/Meshtastic offline transport ๐Ÿ”ฌ Architecture-ready; not yet validated on physical Meshtastic hardware
    Federated SPARQL (cross-cluster) ๐Ÿ“‹ Not yet implemented

    ๐ŸŽ‰ v1.4.1 Released โ€” 2026-03-13 โ€” complete security architecture (TLS, Ed25519, CRDT signing, CF JWT), hierarchical capability taxonomy, auction provenance tracing, confidence signal bus, and a Grafana token budget dashboard.


    Recommended: use ./scripts/start-local.sh โ€” it starts the full stack and loads the ontology in one command.

    git clone https://github.com/one137th/Meshpocalypse.git
    cd Meshpocalypse
    ./scripts/start-local.sh

    This starts Oxigraph (SPARQL knowledge graph) + NATS (message broker), loads the ontology, and makes Grafana available at http://localhost:3000.

    Platform Time Cost How
    Local (Docker) ~2 min Free ./scripts/start-local.sh
    Windows (Docker) ~2 min Free scripts\start-local.bat
    Railway ~5 min Free tier See docs/guides/deployment.md
    Fly.io (production) ~15 min Pay-as-you-go See docs/guides/deployment.md

    npm install @one137th/mesh
    

    Four lines of TypeScript. Works with any framework that can call Node.js or HTTP:

    import { SwarmNode } from '@one137th/mesh';

    const node = new SwarmNode({ agentId: 'my-agent', capabilities: ['summarise', 'search'] });
    await node.connect();
    await node.publish('task.result', { result: 'done' });
    const peers = await node.discoverCapability('search');
    await node.disconnect();

    Python SDK:

    from meshpocalypse import SwarmNode, SwarmNodeConfig
    
    config = SwarmNodeConfig(agent_id="my-agent", capabilities=["summarise", "search"])
    async with SwarmNode(config) as node:
        await node.publish("task.result", {"result": "done"})
        peers = await node.discover_capability("search")
    

    Node.js โ‰ฅ 20 required. Python SDK (meshpocalypse) and Semantic Kernel adapter are also available โ€” see docs/integrations/.

    Framework Guide Adapter import
    LangGraph docs/getting-started/langgraph.md @one137th/mesh/adapters/langgraph
    CrewAI docs/getting-started/crewai.md @one137th/mesh/adapters/crewai
    AutoGen docs/getting-started/autogen.md @one137th/mesh/adapters/autogen
    HTTP/REST docs/getting-started/http-rest.md Any HTTP client
    OpenClaw docs/getting-started/openclaw.md @one137th/mesh (first-class)

    Three components work together:

    NATS โ€” the real-time message broker. Every agent message flows through here. It guarantees delivery, retries on failure, and routes to the right agent without involving the LLM.

    Oxigraph โ€” the shared knowledge graph. Stores facts about your agents as connected data (RDF triples): their capabilities, current status, trust level, and action history. Agents query this with SPARQL to make routing decisions in milliseconds instead of burning a full LLM call.

    The Semantic Layer (this package) โ€” sits on top of NATS and Oxigraph and adds a security layer, SPARQL routing, a shared CRDT team task board, a tamper-proof W3C PROV-O audit trail, a 5-level trust framework, and MCP tool exposure for AI frameworks.

    +-----------------------------------------------------------+
    | AGENT LAYER |
    | LangGraph ยท CrewAI ยท AutoGen ยท OpenClaw ยท HTTP clients |
    +-----------------------------------------------------------+
    | |
    +------------------+ +------------------+
    | BROKER LAYER | | CLOUD LAYER |
    | NATS real-time | | CF Durable Objs |
    | pub/sub routing | | Workers + KV |
    +------------------+ +------------------+
    | |
    +-----------------------------------------------------------+
    | TRANSPORT ABSTRACTION |
    | Protobuf wire format, agent discovery, channel routing |
    +-----------------------------------------------------------+

    The semantic layer adds:

    +-----------------------------------------------------------+
    | AI FRAMEWORK LAYER |
    | LangGraph ยท CrewAI ยท AutoGen ยท Solid/LDP |
    +-----------------------------------------------------------+
    |
    +-----------------------------------------------------------+
    | SEMANTIC LAYER (this package) |
    | SemanticModule ยท MeshGraph ยท SPARQL Optimizer |
    | JSON-LD Bridge ยท PROV-O Provenance ยท ATF Trust ยท MCP |
    +-----------------------------------------------------------+
    |
    +-----------------------------------------------------------+
    | SECURITY LAYER (v1.4.0) |
    | TLS (NATS_TLS_MODE) ยท Subject Validation |
    | From-Field Verification ยท Ed25519 Envelope Signing |
    | CRDT Signing ยท CF JWT Validation |
    +-----------------------------------------------------------+
    |
    +-----------------------------------------------------------+
    | CORE MESH (@one137th/mesh-network) |
    | MeshNode ยท NATS Transport ยท Routing ยท Circuit Breaker |
    +-----------------------------------------------------------+

    Normal operation: Agent โ†’ NATS Broker โ†’ Agent (sub-100ms over direct NATS; see benchmarks/) Broker unavailable: Agent โ†’ Cloudflare Durable Object (buffer + recovery) โš ๏ธ additional implementation work required


    All features are off by default โ€” enable only what you need via .env. Production deployments should always set NATS_TLS_MODE=STRICT, MESH_SIGNATURE_ENFORCEMENT=strict, and MESH_CRDT_SIGNING=true.

    โ†’ Full reference: docs/reference/feature-flags.md


    Section What's in it
    docs/getting-started/ Framework-specific setup guides
    docs/guides/ Architecture, deployment, observability, troubleshooting, examples
    docs/integrations/ Cloudflare, HTTP Gateway, MCP, OpenTelemetry, Python SDK, Semantic Kernel
    docs/reference/ API, configuration, job protocol, feature flags, persistence, exports
    docs/decisions/ Architecture Decision Records (ADRs)
    docs/internal/ Internal working docs (design docs, proposals, code reviews)

    npm ci
    npm run type-check
    npm test
    npm run test:coverage
    Script What
    ./scripts/start-local.sh Start full local stack (Oxigraph + NATS + ontology load)
    npm run dev:semantic:up Start Oxigraph + NATS via Docker Compose (manual)
    npm run ontology:load Load core ontology into Oxigraph
    npm run ontology:validate Validate Turtle syntax (requires Docker)
    npm run test:graph-crdt CRDT bridge tests
    npm run test:sparql-routing SPARQL routing tests
    npm run test:shacl SHACL validation tests
    npm run test:provenance Provenance chain tests
    npm run test:security Security regression suite (TLS, signing, injection, replay)
    npm run benchmark:routing Routing latency benchmark

    Ontology: src/ontology/meshpocalypse-core-ontology.ttl ยท SHACL: src/ontology/shacl-shapes.ttl ยท JSON-LD: src/ontology/json-ld-context.jsonld


    FSL-1.1-ALv2 ยฉ 137th Consulting