symphony

An integration that runs OpenAI Symphony with agentkernel to coordinate coding agents in isolated sandboxes. Symphony watches issue trackers such as Linear and manages implementation runs from start to finish.

In plain words
What is it for?
Use it to set up a Symphony development sandbox, define a workflow, and run autonomous coding work connected to tracked issues.
Why use it?
It connects project tasks with isolated agent work, so coding runs can be started and managed without manually coordinating each one.

Agent

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add agents/thrashr888/agentkernel/symphony
Clone the repo
git clone --depth 1 https://github.com/thrashr888/agentkernel
Per session 0 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 1,303 The whole file, excluding the scripts and references it only reads on demand.
Security scan E 3 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5 $0.00000 $0.01303
Opus 5 $0.00000 $0.00651
Sonnet 5 $0.00000 $0.00261
Haiku 4.5 $0.00000 $0.00130

Measured yesterday against content hash b72ae5a560f0, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade E, and why

symphony scanned grade E with 3 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured yesterday.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Downloads and executes remote codehighSupply chain

curl | sh runs whatever the server returns today, which is not necessarily what it returned when this was reviewed.

# Or: curl -fsSL https://raw.githubusercontent.com/thrashr888/agentkernel/main/install.sh | sh

Recursive force deletehighDestructive command

rm -rf with a variable or a broad path is one typo away from removing the wrong tree.

&& rm -rf /var/lib/apt/lists/*

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

# Or: curl -fsSL https://raw.githubusercontent.com/thrashr888/agentkernel/main/install.sh | sh
docs/agents/symphony.md · 186 lines

How it starts

The opening of the file, as written. The whole thing — 186 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Symphony

Run OpenAI Symphony with agentkernel for isolated orchestration of autonomous coding agents.

Quick Start

Symphony is an orchestration daemon that monitors issue trackers (Linear), spawns autonomous coding agents (Codex), and manages the full lifecycle of implementation runs. It turns project management boards into autonomous coding pipelines.

# Option 1: Use the built-in template
agentkernel run --template symphony-sandbox -- elixir --version

# Option 2: Use the Dockerfile example
agentkernel sandbox create symphony-dev --config examples/agents/symphony/agentkernel.toml
agentkernel sandbox start symphony-dev
agentkernel attach symphony-dev

Setup

1. Install agentkernel

brew tap thrashr888/tap && brew install agentkernel
# Or: curl -fsSL https://raw.githubusercontent.com/thrashr888/agentkernel/main/install.sh | sh

2. Create and start a sandbox

agentkernel sandbox create symphony-dev --config examples/agents/symphony/agentkernel.toml
agentkernel sandbox start symphony-dev

3. Configure and launch Symphony

agentkernel attach symphony-dev

# Inside the sandbox, create a WORKFLOW.md:
cat > /workspace/WORKFLOW.md << 'WORKFLOW'
---
tracker:
  kind: linear
  project_slug: "YOUR-PROJECT-SLUG"
  api_key: "$LINEAR_API_KEY"
  active_states: ["Todo", "In Progress"]
  terminal_states: ["Closed", "Cancelled", "Done"]

polling:
  interval_ms: 30000

workspace:
  root: /workspace/symphony-workspaces

hooks:
  after_create: |
    git clone --depth 1 [email protected]:your-org/your-repo.git .

agent:
  max_concurrent_agents: 5
  max_turns: 20

codex:
  command: codex app-server
  approval_policy: never
  thread_sandbox: workspace-write
---

You are working on issue {{ issue.identifier }}: {{ issue.title }}

{{ issue.description }}
WORKFLOW

# Run Symphony with dashboard
cd /opt/symphony/elixir && mix run -- /workspace/WORKFLOW.md --port 4000

API Keys

Symphony requires two API keys:

Read the full file on GitHub · 186 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. yesterday First seen · 186 lines · 0 tokens per session scan E b72ae5a560f0

Subscribe to this mod's changes

symphony is an agent published in the GitHub repository thrashr888/agentkernel (58 stars, last pushed 2d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 1,303 tokens. A static security scan graded it E with 3 findings (downloads and executes remote code, recursive force delete, makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.