Trending-skills openai-symphony-autonomous-agents
Symphony turns project work into isolated, autonomous implementation runs, allowing teams to manage work instead of supervising coding agents.
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skills/openai-symphony-autonomous-agents/SKILL.mdOpenAI Symphony
Skill by ara.so — Daily 2026 Skills collection.
Symphony turns project work into isolated, autonomous implementation runs, allowing teams to manage work instead of supervising coding agents. Instead of watching an agent code, you define tasks (e.g. in Linear), and Symphony spawns agents that complete them, provide proof of work (CI status, PR reviews, walkthrough videos), and land PRs autonomously.
What Symphony Does
- Monitors a work tracker (e.g. Linear) for tasks
- Spawns isolated agent runs per task (using Codex or similar)
- Each agent implements the task, opens a PR, and provides proof of work
- Engineers review outcomes, not agent sessions
- Works best in codebases using harness engineering
Installation Options
Option 1: Ask an agent to build it
Paste this prompt into Claude Code, Cursor, or Codex:
Implement Symphony according to the following spec: https://github.com/openai/symphony/blob/main/SPEC.md
Option 2: Use the Elixir reference implementation
git clone https://github.com/openai/symphony.git cd symphony/elixir
Follow
elixir/README.md, or ask an agent:
Set up Symphony for my repository based on https://github.com/openai/symphony/blob/main/elixir/README.md
Elixir Reference Implementation Setup
Requirements
- Elixir + Mix installed
- An OpenAI API key (for Codex agent)
- A Linear API key (if using Linear integration)
- A GitHub token (for PR operations)
Environment Variables
export OPENAI_API_KEY="sk-..." # OpenAI API key for Codex export LINEAR_API_KEY="lin_api_..." # Linear integration export GITHUB_TOKEN="ghp_..." # GitHub PR operations export SYMPHONY_REPO_PATH="/path/to/repo" # Target repository
Install Dependencies
cd elixir mix deps.get
Configuration (elixir/config/config.exs
)
elixir/config/config.exsimport Config config :symphony, openai_api_key: System.get_env("OPENAI_API_KEY"), linear_api_key: System.get_env("LINEAR_API_KEY"), github_token: System.get_env("GITHUB_TOKEN"), repo_path: System.get_env("SYMPHONY_REPO_PATH", "./"), poll_interval_ms: 30_000, max_concurrent_agents: 3
Run Symphony
mix symphony.start # or in IEx for development iex -S mix
Core Concepts
Isolated Implementation Runs
Each task gets its own isolated run:
- Fresh git branch per task
- Agent operates only within that branch
- No shared state between runs
- Proof of work collected before PR merge
Proof of Work
Before a PR is accepted, Symphony collects:
- CI/CD pipeline status
- PR review feedback
- Complexity analysis
- (optionally) walkthrough videos
Key Elixir Modules & Patterns
Starting the Symphony supervisor
# In your application.ex or directly defmodule MyApp.Application do use Application def start(_type, _args) do children = [ Symphony.Supervisor ] Supervisor.start_link(children, strategy: :one_for_one) end end
Defining a Task (Symphony Task struct)
defmodule Symphony.Task do @type t :: %__MODULE__{ id: String.t(), title: String.t(), description: String.t(), source: :linear | :manual, status: :pending | :running | :completed | :failed, branch: String.t() | nil, pr_url: String.t() | nil, proof_of_work: map() | nil } defstruct [:id, :title, :description, :source, status: :pending, branch: nil, pr_url: nil, proof_of_work: nil] end
Spawning an Agent Run
defmodule Symphony.AgentRunner do @doc """ Spawns an isolated agent run for a given task. Each run gets its own branch and Codex session. """ def run(task) do branch = "symphony/#{task.id}-#{slugify(task.title)}" with :ok <- Git.create_branch(branch), {:ok, result} <- Codex.implement(task, branch), {:ok, pr_url} <- GitHub.open_pr(branch, task), {:ok, proof} <- ProofOfWork.collect(pr_url) do {:ok, %{task | status: :completed, pr_url: pr_url, proof_of_work: proof}} else {:error, reason} -> {:error, reason} end end defp slugify(title) do title |> String.downcase() |> String.replace(~r/[^a-z0-9]+/, "-") |> String.trim("-") end end
Linear Integration — Polling for Tasks
defmodule Symphony.Linear.Poller do use GenServer @poll_interval Application.compile_env(:symphony, :poll_interval_ms, 30_000) def start_link(opts \\ []) do GenServer.start_link(__MODULE__, opts, name: __MODULE__) end def init(_opts) do schedule_poll() {:ok, %{processed_ids: MapSet.new()}} end def handle_info(:poll, state) do case Symphony.Linear.Client.fetch_todo_tasks() do {:ok, tasks} -> new_tasks = Enum.reject(tasks, &MapSet.member?(state.processed_ids, &1.id)) Enum.each(new_tasks, &Symphony.AgentRunner.run/1) new_ids = Enum.reduce(new_tasks, state.processed_ids, &MapSet.put(&2, &1.id)) schedule_poll() {:noreply, %{state | processed_ids: new_ids}} {:error, reason} -> Logger.error("Linear poll failed: #{inspect(reason)}") schedule_poll() {:noreply, state} end end defp schedule_poll do Process.send_after(self(), :poll, @poll_interval) end end
Linear API Client
defmodule Symphony.Linear.Client do @linear_api "https://api.linear.app/graphql" def fetch_todo_tasks do query = """ query { issues(filter: { state: { name: { eq: "Todo" } } }) { nodes { id title description } } } """ case HTTPoison.post(@linear_api, Jason.encode!(%{query: query}), headers()) do {:ok, %{status_code: 200, body: body}} -> tasks = body |> Jason.decode!() |> get_in(["data", "issues", "nodes"]) |> Enum.map(&to_task/1) {:ok, tasks} {:error, reason} -> {:error, reason} end end defp headers do [ {"Authorization", System.get_env("LINEAR_API_KEY")}, {"Content-Type", "application/json"} ] end defp to_task(%{"id" => id, "title" => title, "description" => desc}) do %Symphony.Task{id: id, title: title, description: desc, source: :linear} end end
Proof of Work Collection
defmodule Symphony.ProofOfWork do @doc """ Collects proof of work for a PR before it can be merged. Returns a map with CI status, review feedback, and complexity. """ def collect(pr_url) do with {:ok, ci_status} <- wait_for_ci(pr_url), {:ok, reviews} <- fetch_reviews(pr_url), {:ok, complexity} <- analyze_complexity(pr_url) do {:ok, %{ ci_status: ci_status, reviews: reviews, complexity: complexity, collected_at: DateTime.utc_now() }} end end defp wait_for_ci(pr_url, retries \\ 30) do case GitHub.get_pr_ci_status(pr_url) do {:ok, :success} -> {:ok, :success} {:ok, :pending} when retries > 0 -> Process.sleep(60_000) wait_for_ci(pr_url, retries - 1) {:ok, status} -> {:ok, status} {:error, reason} -> {:error, reason} end end defp fetch_reviews(pr_url), do: GitHub.get_pr_reviews(pr_url) defp analyze_complexity(pr_url), do: GitHub.get_pr_diff_complexity(pr_url) end
Implementing the SPEC.md (Custom Implementation)
When building Symphony in another language, the spec defines:
- Task Source — poll Linear/GitHub/Jira for tasks in a specific state
- Agent Invocation — call Codex (or another agent) with task context
- Isolation — each run on a fresh branch, containerized if possible
- Proof of Work — CI, review, and analysis before merge
- Landing — auto-merge or present to engineer for approval
Minimal implementation loop in pseudocode:
# Core symphony loop def symphony_loop(state) do tasks = fetch_new_tasks(state.source) tasks |> Enum.filter(&(&1.status == :todo)) |> Enum.each(fn task -> Task.async(fn -> branch = create_isolated_branch(task) invoke_agent(task, branch) # Codex / Claude / etc. proof = collect_proof_of_work(branch) present_for_review(task, proof) end) end) Process.sleep(state.poll_interval) symphony_loop(state) end
Common Patterns
Limiting Concurrent Agent Runs
defmodule Symphony.AgentPool do use GenServer @max_concurrent 3 def start_link(_), do: GenServer.start_link(__MODULE__, %{running: 0, queue: []}, name: __MODULE__) def submit(task) do GenServer.cast(__MODULE__, {:submit, task}) end def handle_cast({:submit, task}, %{running: n} = state) when n < @max_concurrent do spawn_agent(task) {:noreply, %{state | running: n + 1}} end def handle_cast({:submit, task}, %{queue: q} = state) do {:noreply, %{state | queue: q ++ [task]}} end def handle_info({:agent_done, _result}, %{running: n, queue: [next | rest]} = state) do spawn_agent(next) {:noreply, %{state | running: n, queue: rest}} end def handle_info({:agent_done, _result}, %{running: n} = state) do {:noreply, %{state | running: n - 1}} end defp spawn_agent(task) do parent = self() spawn(fn -> result = Symphony.AgentRunner.run(task) send(parent, {:agent_done, result}) end) end end
Manual Task Injection (No Linear)
# In IEx or a Mix task Symphony.AgentPool.submit(%Symphony.Task{ id: "manual-001", title: "Add rate limiting to API", description: "Implement token bucket rate limiting on /api/v1 endpoints", source: :manual })
Troubleshooting
| Problem | Likely Cause | Fix |
|---|---|---|
| Agents not spawning | Missing | Check env var is exported |
| Linear tasks not detected | Wrong Linear state filter | Update query filter to match your board's state name |
| PRs not opening | Missing or wrong repo | Verify token has scope |
| CI never completes | Timeout too short | Increase in |
| Too many concurrent runs | Default pool size | Set in config |
| Branch conflicts | Agent reusing branch names | Ensure task IDs are unique per run |
Debug Mode
# In config/dev.exs config :symphony, log_level: :debug # Or at runtime Logger.put_module_level(Symphony.AgentRunner, :debug) Logger.put_module_level(Symphony.Linear.Poller, :debug)
Resources
- SPEC.md — Full Symphony specification
- elixir/README.md — Elixir setup guide
- Harness Engineering — Prerequisite methodology
- Apache 2.0 License