73a1802155e4d467ae85313b39274e9f4fb04aec
Token-usage wiring (closes the 0-tokens gap in memory_dream_usage):
- internal/harness/k8sjob/k8sjob.go: after extractResultJSON, parse
tokens_in/tokens_out/tokens_cached/cost_usd from the final JSON
envelope and stash into ExecResult.Usage so the dream worker's
UsageGate circuit breaker actually counts consumption.
- dream-agent/dream_runner.py: Max20 OAuth sessions don't surface
per-call tokens through the SDK's ResultMessage.usage. Falls back
to a turn-based estimate so the gate has SOME signal:
tokens_in_est = turns * 5000 + tool_calls * 2000
tokens_out_est = turns * 300
Calibrated against observed reflection runs.
Watchdog (deploy/kubic/watchdog/):
- watchdog.yaml: in-cluster CronJob runs every hour at :05 past UTC,
with a dedicated ServiceAccount + Role granting (get/list/exec on
pods, patch+update on deployments/scale) inside the synapbus
namespace only.
- Health checks: pod readiness + restart count; last-1h job
succ/fail/in_flight counts; today's jobs_started + tokens_in +
circuit_broken.
- Red flags that auto-stop synapbus (scale to 0):
* pod restart count > 3
* failed dream jobs in last 1h > 20
* jobs_started today > 200 OR tokens_in > 30M
* circuit broke AND still firing (started >> completed)
- Dockerfile: slim alpine + kubectl v1.30.5 binary (synapbus-watchdog:v1).
Built locally and imported into kubic's containerd because the
public docker.io/bitnami/kubectl manifest was returning text/html
from kubic's network egress.
Replaces the schedule-skill remote-agent approach because Anthropic
cloud agents can't reach kubic.home.arpa (LAN-only) and can't call
kubectl scale. The k8s CronJob is the right primitive for an
in-cluster safety watchdog.
Live evidence: first manual run on kubic reported
pod=synapbus-... ready=true restarts=0
last_1h jobs total=18 succ=18 fail=0 in_flight=0
today: jobs_started=189 tokens_in=0 succeeded=169 failed=15
HEALTHY — no action
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
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 servestarts everything (API + Web UI + embedded DB) - MCP-native — agents connect via MCP protocol, use standard
tools/callfor 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:
- MCP client discovers OAuth endpoints via
GET /.well-known/oauth-authorization-server - Client registers dynamically via
POST /oauth/register(RFC 7591) - User logs in through the SynapBus Web UI, selects an agent identity
- Client receives an access token and uses it for MCP
tools/callrequests
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
Languages
Go
73.8%
Svelte
9.4%
HTML
8%
Python
6%
Shell
1.7%
Other
1.1%