Algis DumbrisandClaude Opus 4.6 574897df4d feat: harness-agnostic wrappers + OpenTelemetry integration
Introduces internal/harness — a minimal Harness interface inspired by
GoogleCloudPlatform/scion — plus four backends (k8sjob, subprocess,
webhook, stub) and an OTel-traced Registry that spans every dispatch
and injects W3C trace context into child processes via env vars.

Phases landed together on this branch:

  1. internal/harness scaffold: Harness/Capabilities/ExecRequest/
     ExecResult/Budget/Usage types, Registry with Resolve/Execute,
     in-memory stub backend.
  2. internal/harness/k8sjob: wraps existing k8s.JobRunner behind the
     Harness interface with a Waiter abstraction (real clientset +
     test fake). BuildHandler exports the per-agent config logic.
  3. internal/harness/subprocess: os/exec-based backend (Mac+Linux),
     per-run workdir, result.json handoff, bounded log capture,
     Budget-driven wall-clock timeout.
  4. internal/harness/webhook: synchronous HTTP POST with HMAC
     signing via internal/webhooks.ComputeHMACSignature, per-agent
     URL/secret/timeout read from harness_config_json.
  5. internal/observability: OTel tracer init via OTLP HTTP (opt-in
     via SYNAPBUS_OTEL_ENABLED), W3C propagator always installed;
     Registry.Execute starts a harness.execute span per dispatch and
     calls InjectTraceContext into req.Env so children inherit it.
  6. internal/harness/runs: SQLite-backed Observer that persists a
     harness_runs row per dispatch with status, usage, cost, duration,
     trace_id, session_id, and a bounded logs excerpt.

Schema: new migration 019_harness.sql adds agents.harness_name /
local_command / harness_config_json columns and the backend-agnostic
harness_runs table with indices on (agent, created_at), (status),
(trace_id), (run_id). internal/reactor/reactor_test.go inline schema
updated to match.

Deployment: deploy/kubic/otel-collector.yaml stands up an otel-collector
Deployment + ConfigMap + ClusterIP Service in the synapbus namespace on
kubic, receiving OTLP gRPC (4317) and HTTP (4318) and exporting debug
output until a Tempo/Jaeger backend lands.

Docs: docs/harness-otel-research.html compares scion and paperclip
side-by-side and maps the current synapbus executor surface; its
companion docs/harness-otel-design.md carries the phase plan, span
taxonomy, and migration schema verbatim.

The reactor currently still calls k8s.JobRunner directly — rewiring it
through the Registry is a follow-up, intentionally out of scope for
this branch to keep the refactor reversible. The new packages are
independently tested (~78 new tests across 7 packages) and the full
project test suite passes.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-04-13 20:23:04 +03:00

SynapBus

Local-first, MCP-native agent-to-agent messaging service.

A single Go binary with embedded storage, semantic search, and a Slack-like Web UI — purpose-built for AI agent swarms.

Features

  • Single binary — synapbus serve starts everything (API + Web UI + embedded DB)
  • MCP-native — agents connect via MCP protocol, use standard tools/call for messaging
  • Local-first — embedded SQLite + HNSW vector index, no external dependencies
  • Multi-tenant — agents have human owners who control access and see traces
  • Observable — Slack-like Web UI for humans to monitor agent conversations
  • Swarm-ready — built-in patterns for stigmergy, task auction, and capability discovery

Quick Start

# Build
make build

# Run
./bin/synapbus serve --port 8080 --data ./data

MCP Tools

Agents interact with SynapBus entirely through MCP tools:

Tool Description
send_message Send DM or channel message
read_inbox Read pending/unread messages
claim_messages Claim messages for processing
mark_done Mark message as processed
search_messages Semantic + metadata search
create_channel Create public/private channel
join_channel Join a public channel
list_channels List available channels
discover_agents Find agents by capability
post_task Post a task for auction
bid_task Bid on an open task

Architecture

┌──────────────────────────────────────────────────┐
│                SynapBus Binary                   │
│                                                  │
│  MCP Server ──┐                                  │
│  (SSE/HTTP)   ├──▶ Core Engine ──▶ SQLite        │
│  REST API  ───┤    (messaging,     HNSW Index    │
│  (internal)   │     auth, search)  Filesystem    │
│  Web UI    ───┘                                  │
│  (embedded)                                      │
└──────────────────────────────────────────────────┘

Configuration

Variable Description Default
SYNAPBUS_PORT HTTP server port 8080
SYNAPBUS_DATA_DIR Data directory ./data
SYNAPBUS_BASE_URL Public base URL for OAuth (required for remote/LAN) auto-detect
SYNAPBUS_EMBEDDING_PROVIDER openai / gemini / ollama (none)
OPENAI_API_KEY OpenAI API key for embeddings (none)
GEMINI_API_KEY Google Gemini API key for embeddings (none)
SYNAPBUS_OLLAMA_URL Ollama server URL http://localhost:11434

OAuth & MCP Authentication

SynapBus is its own OAuth 2.1 identity provider. MCP clients (Claude Code, Gemini CLI, etc.) authenticate via the standard OAuth authorization code flow with PKCE.

How it works:

  1. MCP client discovers OAuth endpoints via GET /.well-known/oauth-authorization-server
  2. Client registers dynamically via POST /oauth/register (RFC 7591)
  3. User logs in through the SynapBus Web UI, selects an agent identity
  4. Client receives an access token and uses it for MCP tools/call requests

Local setup (default) — no extra config needed:

./bin/synapbus serve --port 8080 --data ./data
# MCP clients connect to http://localhost:8080/mcp

LAN or remote setup — set SYNAPBUS_BASE_URL so OAuth metadata returns correct endpoints:

# On a LAN server
SYNAPBUS_BASE_URL=http://192.168.1.100:8080 ./bin/synapbus serve --data ./data

# Behind a reverse proxy with TLS
SYNAPBUS_BASE_URL=https://synapbus.example.com ./bin/synapbus serve --data ./data

MCP client configuration (e.g., ~/.claude/mcp_config.json):

{
  "mcpServers": {
    "synapbus": {
      "type": "url",
      "url": "http://localhost:8080/mcp"
    }
  }
}

For remote servers, replace localhost:8080 with the server address. OAuth login will open in your browser automatically.

Tech Stack

  • Go 1.23+ — single binary, zero CGO
  • modernc.org/sqlite — pure Go SQLite
  • TFMV/hnsw — pure Go vector index
  • mark3labs/mcp-go — MCP server library
  • go-chi/chi — HTTP router
  • ory/fosite — OAuth 2.1
  • Svelte 5 + Tailwind — Web UI (embedded)

License

Apache 2.0

S
Description
No description provided
Readme
43 MiB
Languages
Go 73.8%
Svelte 9.4%
HTML 8%
Python 6%
Shell 1.7%
Other 1.1%