Teams now run fleets of coding agents. Concord coordinates them, gives each a role, and records everything they do — turning a swarm into a governed team, and AI-written code into a single source of truthful intelligence.
✈️ Air-traffic control for your coding agents — across many repos · Claude · Codex · GeminiRunning parallel coding agents is now a commodity. The unsolved part is everything that happens around the code they write.
Parallel agents race on shared files, overwrite each other's work, and leave ownership of every change unclear.
Prompts, plans, test runs, reviews and rationale scatter across terminals and chat logs — gone by the time anyone asks.
Review evidence, traceability and change-control history are mandatory for every line of code — however it was written.
The agents are the workforce; Concord is the control plane that coordinates them, gives each a role, and accounts for everything they do — across many repos and any provider.
Every agent works in its own git worktree behind a per-ticket lock — so a fleet runs in parallel, across many repositories, with clear ownership and zero overwrites.
Governed roles take work from plan → build → review → test → land, in either topology: independent agents, or an orchestrator directing sub-agents.
Every transition is attributed to a specific agent, under a specific reviewer, in an append-only journal — so multi-agent work is replayable and auditable.
Every unit of agent work runs the same path — and lands in a tamper-evident journal.
Worktree + branch + lock per ticket. Many agents, many repos — no collisions.
Requirement closure, feature proof, repo gates and fail-closed human review before anything lands.
Every transition recorded with actor and provenance — a verifiable history of who did what, under whose review.
A read-only web view renders the board, traceability, gates and timeline — live, across repos and providers.
Branch protection governs the pull request. Concord governs the agent work before the PR — and turns it into a record an auditor can use.
Required checks, protected branches, CODEOWNERS, approvals. Strong process enforcement — but no requirement-to-implementation traceability, no record of which agent did what under whose authority, and nothing an auditor can take away as a closure record.
Task locks, worktree isolation, requirement closure, agent provenance, evidence completeness, fail-closed human review — across providers and repositories. Then one command exports the whole trail as a control-mapped evidence pack.
AI coding agents don't remove SDLC, CSV or change-control expectations. Concord is built for the regimes you already answer to — producing review evidence, traceability and change history as a by-product of the workflow.
Per-change closure, review cycles and an attributable audit trail — the records these regimes ask for.
Traceability and fail-closed, control-mapped export — aligned to the direction of the FDA's Computer Software Assurance guidance (records over screenshots).
Indicative control maps included; the evidence export fails closed if anything required is missing.
We describe Concord as designed for / building toward these regimes — it produces evidence and indicative maps, not a certification, validation, or claim of conformity.
Governance adds tokens — but it removes more, because Concord already holds the context agents otherwise re-pay to rediscover.
Cheap pre-checks classify already-satisfied work before an agent is ever dispatched.
A cache-friendly context pack shares discovery across a wave instead of each agent re-grepping.
Model and evidence depth proportional to risk — lighter for mechanical work, full rigor where it matters.
A cost-ledger records spend per change in the same journal that proves the controls — so savings are measured, not estimated. Blended figures will be published from design-partner pilots.
The single-team workflow is open source. The retained, attested, org-wide evidence layer is the commercial edition.
Run many agents, across many repos and providers — coordinated, governed, and provable.