Build something new
Describe an idea. The agent makes a folder, writes the code, and runs it.
“Build something new from scratch… My idea: a habit tracker I can use on my phone”
Harness · Graff built in
Put coding agents to work. See what works.
Harness brings Graff and your other coding agents into one desktop app. Give them a task, follow the changes, and inspect the result. No code yet? Pick a starter.
Apple Silicon · macOS 12+ · Windows x64Other downloadsGitHub Getting started
Use your Codex, Kimi or Grok subscription, or another supported provider. Compare connections · Run your first repository task · Verify the result
Install via terminal
curl -fsSL https://github.com/justrach/codegraff/releases/latest/download/install.sh | shStart from a template
Start with a sentence.
Open Harness, choose a starter, and add one line about what you want. The agent asks what it needs, then begins the work on your computer.
Research a topic
Get a sourced write-up on anything, with the key takeaways up front.
“Research the topic below and give me a concise, well-sourced write-up… Topic: how small cafés run loyalty programs”
Plan a launch
Positioning, a go-to-market plan, and landing page copy for your product.
“Help me take my product to market… The product: a meal planner for busy parents”
Tour this project
Learn what the code does, how it's organized, and where to start.
“Give me a tour of this project: what it does, how it's organized, how to run it”
Free · macOS and Windows · no account needed to start
What you get
One app for every coding agent.
Starters for anything
Build, research, or plan a launch from a template. Add one sentence and the agent takes it from there.
Every agent in one place
graff, Claude Code, Codex, Cursor, Devin, Grok, Hermes, Pi, OpenCode and Antigravity. Pick the agent and model for each conversation.
Use the plan you already pay for
Sign in with your ChatGPT (Codex), Kimi or Grok subscription, or use Codegraff credits for many models behind one key.
See every change
Review what the agent changed beside the chat, with files, a browser and a terminal close at hand.
Pick up on any device
Sign in to follow and steer a session from your other computers or your iPhone while it keeps running at home.
Local first
Harness starts without an account. Nothing leaves your machine for sync until you turn it on and choose what to bring.
From model to working environment
What is a coding agent harness?
A coding agent harness connects a model to repository context, file edits, terminal commands and tests. It manages the steps between a task request and the resulting code.
Execute
Run repository tasks
Edit files, run terminal commands, call MCP tools, route across models, and coordinate coding-agent workers.
Evaluate
Measure agent outcomes
Score success, cost, speed, tool errors, and verification evidence instead of trusting a confident final message.
Improve
Reuse stronger strategies
Keep higher-fitness prompts and agent strategies so future runs reuse what worked while preserving useful diversity.
Graff records how strategies perform and uses those results to select future configurations. You can inspect the code, evaluation setup and recorded outcomes.
20/21
terminal passes · Graff / Grok 4.6
17/21
terminal passes · Graff / Kimi K3
$0.31
per pass · recorded Grok run
$0.21
per pass · recorded Kimi run
Later FrontierHarness runs on the selected 21-task terminal slice, with extra evaluation instructions. Cost per pass uses historical list-price totals and includes failed attempts. Explore the results and comparison conditions →
Graff's core loop
Keep a record of what works. Use it on the next task.
Graff turns completed work into a fitness signal, keeps a diverse archive of strong strategies, and uses that archive to guide future runs.
01Run
Try agent variants.
Graff samples agent strategies and runs them against real repository work.
02Score
Measure the outcome.
Record completion, cost, time and errors for each strategy.
03Select
Keep useful strategies.
Store selected variants in a MAP-Elites archive, grouped by task and provider class.
04Reuse
Reuse selected strategies.
Future runs sample stronger strategies more often while preserving useful diversity.
Graff owns the evolutionary loop. CodeDB improves what Graff or another coding agent can see. CodeDB Pro accelerates repeated local tool work.
Run, search, edit. Choose what you need.
Use Graff to run coding tasks, CodeDB to find relevant code, and Pro to batch local reads and edits. Graff and CodeDB can each work independently.
EVOLVE
Free · open sourcegraff
Run the task.
Connect your model and tools, run repository tasks, and evaluate which strategies complete the work.
MAP
Free · independentCodeDB
Map the repo.
Local structural code intelligence that works with Graff or another supported coding agent. It maps symbols, outlines, callers, and dependencies.
MOVE
Paid upgradeCodeDB Pro
Batch the work.
Keep a local daemon ready for repeated searches, reads, diffs and edits. Address changes by symbol name.
Graff and CodeDB are free and open source. CodeDB Pro is an optional paid upgrade.
Choose the tool for the work.
Compare a whole-file read, a CodeDB outline and a Pro edit. Each example shows what the agent asks for and what the tool returns.
See the measured calls ↓same task · measured example
Structural lookup
$ codedb outline src/auth.ts
→ SessionStore L18
→ validateToken L61
→ handleAuth L94
→ refreshSession L137
exact scope foundContext returned
47 tokens
8 symbols mapped
The result changes with the tool. The task does not.
CodeDB · Free local code intelligence
Find the code for your coding agent.
Give your agent a map of definitions, callers and dependencies. CodeDB runs locally and connects over MCP, so you can keep the coding client you already use.
curl -fsSL https://codedb.codegraff.com/install.sh | bash
Works out of the box with Claude Code, Codex, Gemini CLI, Cursor, Windsurf, Devin.
See the CodeDB search guide or read how local code intelligence reduces agent context.
- Context
- Find the files, symbols and source excerpts relevant to your task.
- Symbols
- Read definitions and file outlines with focused source context.
- Impact
- See callers and dependencies before changing shared code.
- Local
- The index and working data stay on the machine.
Step 01
Orient around the task.
CodeDB gives the client likely files, symbols, dependencies, and focused source excerpts.
codedb context "fix session refresh"Step 02
Read the right symbol.
Outline maps the file first. Symbol reads pull the exact definition instead of pouring the whole file into context.
codedb symbol refreshSession --bodyStep 03
Trace the impact.
Callers and dependency lookups show the agent what the change can affect before it edits anything.
codedb callers refreshSessionMeasured on one 2,318-line file
Read the relevant code. Spend less context.
One real 2,318-line file measured three ways. Results vary by repository and task, so the methodology stays visible.
Understand a 2,300-line file
29× leaner than the raw dump
865 tok
with CodeDB Pro
codedb 6,305 tok25,324 toktoday
Search the whole codebase
codedb’s search engine ships inside Pro
built in
with CodeDB Pro
codedb 2,160 tok5,938 toktoday
Edit one function
Pro only · codedb reads, it doesn’t edit
1.9 KB
with CodeDB Pro
169 KBtoday
codedb-pro 0.2.9 · same 2,318-line file · raw read vs structural read vs exact symbol
Same query
6.4×
faster on a 4.7 GB repo
zigrep5.2ms
ripgrep33.1ms
hyperfine · macOS arm64 · n=10
What CodeDB Pro adds.
Persistent local daemon
The toolchain stays warm instead of paying process startup on every call.
one local process
Batched operations
Read, search, diff, and edit in parallel over one request.
10 reads in 7ms
Symbol-safe edits
Target functions by name, guard the revision, and verify the write on disk.
1.9 KB vs 169 KB
Focused tool suite
Purpose-built local tools for search, reads, patches, diffs, memory, and parallel work.
search · read · edit · verify
CodeDB works on your machine.
CodeDB Pro is a local daemon with zero runtime dependencies on supported binaries. Tool operations do not send code, paths, queries, edits, or results to a remote MCP host.
Supported clients: Claude Code, Codex, Gemini CLI, Cursor, Windsurf, Devin.
CodeDB stays free. Add Pro when you need it.
graff and CodeDB remain free. Pro is an annual local-tooling license with a 14-day refund, keys by email, and no auto-renew lock-in.
Individual
$99
per year · 1 seat
All tools, every supported editor, one engineer.
Team
$160
per year · 2 seats
$80 per seat. Save $38 versus two solo licenses.
Engineering organization · 10+ seats
Volume pricing, annual invoicing, and MSA on request.
The short answers.
What do the Graff benchmark results show?+
The later FrontierHarness runs passed 20 of 21 selected terminal tasks with Grok 4.6 and 17 with Kimi K3. Both used additional evaluation instructions. These are results for that task slice and setup, not full Terminal-Bench leaderboard scores. The comparison article includes costs, DeepSWE outcomes, source records and evaluation conditions.
What is Codegraff?+
Codegraff is the project behind Graff, a free, open-source AI coding harness. Graff runs repository tasks with your model and tools, evaluates results, and reuses selected strategies. CodeDB adds local code search and context. CodeDB Pro adds batching and editing tools.
What is a coding agent harness?+
A coding agent harness connects an AI model to the tools it needs to work: repository context, file edits, terminal commands and tests. It also manages execution and records outcomes. Graff combines that execution layer with evaluation and strategy selection.
How does Graff reuse what works?+
Graff evaluates agent variants and stores selected strategies in a MAP-Elites archive. Later runs can draw on those strategies while continuing to explore alternatives. Selection changes the harness configuration; the base model weights stay the same.
Can I use CodeDB without Graff?+
Yes. CodeDB connects over MCP to supported clients including Claude Code, Codex, Gemini CLI, Cursor, Windsurf and Devin. You can use it with Graff or your existing coding agent.
Is CodeDB free?+
Yes. CodeDB is free and open source. CodeDB Pro is an optional paid upgrade with a persistent local daemon, batched operations and symbol-safe editing.
Do CodeDB tools upload my code?+
CodeDB and Pro process repository data locally. Their tool operations do not upload code, paths, queries or edits to a remote MCP host. Your coding agent may send context to its model provider; that is a separate data path.
Do I need to change editors?+
No. CodeDB speaks MCP and works with Claude Code, Codex, Gemini CLI, Cursor, Windsurf, and Devin. Remove it and your agent falls back to its built-in tools.
What platforms are supported?+
The current Pro binaries support macOS arm64 and Linux x86_64 with zero runtime dependencies.
Your next task starts here
Try Graff on your repository.
Download Harness, connect a model, and give Graff a task. Follow the changes and check the result for yourself.
Compare CodeDB Pro ↑