Agent-native code platform

Everything AI agents need to connect, submit code, get verified, and merge — in milliseconds.

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Run your favorite AI agents, sub-agents, and agent teams — at scale, in parallel, without holding back. Multiple developers on your team, each running their own agents — all hitting the same codebase, same branch, even the same file without any conflicts. DKOD understands your code at the AST level — functions, types, imports, not lines. When 20 agents edit the same file simultaneously, DKOD merges their changes by symbol in under 50ms and produces one clean PR on GitHub.

Without dkod

orchestrator agent

▸Planning execution for 10 tasks...

Tasks 1, 2, 4, 7 can start first, but 2, 4, 7

share files (main.rs, lib.rs) — only Task 1 is

truly independent.

⚠Dispatching Task 1 to worktree, serializing 2→4→7

sub-agent · task 2

▸git checkout -b task-2

▸edit("src/main.rs") → add_handler()

▸edit("src/lib.rs") → register_route()

✓Task 2 complete — commit & push

sub-agent · task 4

⏳Waiting for Task 2 to release main.rs...

▸edit("src/main.rs") → add_middleware()

▸edit("src/lib.rs") → update_config()

✓Task 4 complete — commit & push

create pr

orchestrator agent

▸git push origin task-2 task-4

▸gh pr create

✓PR #248 created

▸Checking remote PR for conflicts...

✓Done.

Worked for: 24 min

⚠Conflicts: 4

With dkod

orchestrator agent + dkod

◼Skilldkod

Parallel execution enabled — no file conflicts

◼mcpdk_connect repo: acme/backend

✓10 sessions ready

◼AgentDispatching all 10 tasks in parallel

→ Tasks 1–10 writing main.rs, lib.rs simultaneously

dkod-agent-a

▸dk_connect()

✓Session ready

▸dk_file_write("src/main.rs")

→ add_handler() created

▸dk_file_write("src/lib.rs")

→ register_route() updated

▸dk_submit() → dk_merge()

✓Changeset integrated — v1848

dkod-agent-b

▸dk_connect()

✓Session ready

▸dk_file_write("src/main.rs")

→ add_middleware() created

▸dk_file_write("src/lib.rs")

→ update_config() updated

▸dk_submit() → dk_merge()

✓Changeset integrated — v1849

ast merge

dkod

▸dk_push(mode: "pr")

✓PR #248 created — 10 changesets, 0 conflicts

AST merge: all functions merged cleanly

Worked for: 2 min

✓Conflicts: 0

When a true conflict happens, you’re in control

Resolve it from the MCP prompt, or use the dashboard for a visual three-way diff with one-click resolution.

dkod dashboard showing a true conflict between two agents with three-way diff and one-click resolution options

Run your favorite AI agents, sub-agents, and agent teams — at scale, in parallel, without holding back. Multiple developers on your team, each running their own agents, sub-agents, and agent teams — all hitting the same codebase, same branch, even the same file without any conflicts. DKOD understands your code at the AST level — functions, types, imports, not lines. When 20 agents edit handlers.ts simultaneously, DKOD merges their changes by symbol in under 50ms and produces one clean PR on GitHub.

Today, teams either slow their agents down to avoid conflicts, or spin up worktrees and spend hours resolving the merge mess afterward. Both waste the speed AI is supposed to give you. DKOD eliminates this tradeoff entirely. Instead of fighting git’s line-level diffs — where a single line touched by two agents triggers a conflict even when they edited different functions — DKOD gives each agent an isolated overlay on top of your repository. Agents read and write freely. When they’re done, DKOD’s AST resolver merges by symbol, not by line, catching only the real conflicts and auto-resolving everything else.

Not another clone. Not a workspace. Not a worktree. DKOD is an agent-first platform that works on top of GitHub — your repos, your branches, your PRs all stay exactly where they are. DKOD just makes them work for agents.

Whether you’re a solo developer unleashing parallel agents to ship at full speed, or an enterprise team looking to cut delivery times across dozens of contributors — DKOD removes the bottleneck. No more serializing work. No more conflict triage. Just agents building, in parallel, at the pace your ambition demands.

Built for agents, loved by developers

Everything an AI agent needs to ship production code, and everything a developer needs to stay in control.

Agent Protocol

A unified protocol for AI agents to connect, submit code, and get verified — in milliseconds.

AST-Level Semantic Merging

Merges by function, type, and import — not by line. Same file, multiple agents, zero false conflicts.

Verify & Review

Local code review on every submit. Lint, type-check, and tests via dk_verify. No YAML, no pipelines, no waiting.

Multi-Agent Orchestration

Multiple agents collaborate on the same codebase with conflict resolution and context sharing.

How it works

Connect

Agent connects via the Agent Protocol. Sub-50ms handshake.

Code

Agent writes code with full repo context and semantic understanding.

Verify & Review

Local review on every submit. Lint, type-check, and tests on demand. Under 30 seconds.

Ship

Merge to main. Deploy automatically. Done.

Connect

Agent connects via the Agent Protocol. Sub-50ms handshake.

Code

Agent writes code with full repo context and semantic understanding.

Verify & Review

Local review on every submit. Lint, type-check, and tests on demand. Under 30 seconds.

Ship

Merge to main. Deploy automatically. Done.

Get started

One command to unlock parallel agents. Choose the path that fits your workflow.

setup

$npx skills add dkod-io/dkod-plugin

✓ Skill installed — /dkod command ready

claude code

❯rewrite login, signup, and session handlers in src/auth.rs

I'll dispatch 3 parallel agents — each rewrites a different function in src/auth.rs at the same time. dkod merges by symbol, so no conflicts.

◼Skilldkod

The dkod MCP server isn't configured yet. Would you like me to set it up?

[Y/n]Y

◼Bashclaude mcp add --transport http dkod https://api.dkod.io/mcp

✓ MCP server added

◼mcpdk_connectrepo: acme/backend

✓ Connected — 3 sessions ready

◼AgentDispatching 3 agents in parallel

agent-1 · login

write auth.rs

→ rewrite login()

→ add rate_limit()

submit → verify

✓ merged v2041

agent-2 · signup

write auth.rs

→ rewrite signup()

→ add email_verify()

submit → verify

✓ merged v2042

agent-3 · session

write auth.rs

→ rewrite session()

→ add refresh_token()

submit → verify

✓ merged v2043

◼mcpdk_pushmode: "pr"

✓ PR #312 — 3 changesets, 0 conflicts

3 agents rewrote 3 functions in auth.rs simultaneously — AST merged by symbol

❯

Opus 4.6 (1M context)|acme/backend|dkod enabled

Install the Skill

30 seconds

npx skills add dkod-io/dkod-plugin

One command. The skill teaches your agent to parallelize work and guides MCP setup on first use.

Skill guide

Connect via MCP

1 minute

claude mcp add --transport http dkod https://api.dkod.io/mcp

Add the MCP server directly. Works with Claude Code, Cursor, Codex, Windsurf, Cline, and more.

MCP setup

Use the dk CLI

Optional

cargo install dk-cli

A git-like CLI for direct terminal access. Not required for agent workflows — the MCP server handles everything.

CLI reference

Full quickstart guide

Frequently Asked Questions

dkod is an agent-first platform built on top of GitHub that lets multiple AI agents work on the same files simultaneously without conflicts. Each agent gets an isolated overlay, and dkod's AST resolver merges changes by symbol in under 50ms, producing a single clean PR. No migration required — your repos, branches, and PRs stay exactly where they are.

dkod connects to your existing GitHub repositories — there's no migration. Your code stays in GitHub, and dkod provides an agent-native layer on top. Agents connect through the dkod protocol, work in isolated sessions, and changes are merged back to your repository after verification.

Yes. The dkod engine is fully open source under the MIT license. You can self-host it, fork it, and build on top of it with no restrictions. The source code is available at github.com/dkod-io/dkod-engine.

GitHub was designed for human developers using git workflows, pull requests, and CI pipelines. When AI agents use GitHub, they must simulate human interactions — cloning repos, generating text diffs, waiting minutes for CI. dkod provides a native protocol where agents connect directly, submit semantic changesets, get instant verification, and merge automatically. It's the difference between a human-first tool adapted for agents and an agent-first platform.

Ready to ship code with agents?

Get started in 60 seconds — free, no sign-up required.

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