Codeep vs Makoto

Codeep and Makoto are both cli coding agents tracked by AIDiveForge. Below is a side-by-side comparison of pricing, capabilities, platforms, and ownership — sourced from each tool's live website and verified before publishing.

Codeep

Codeep is an open-source, terminal-native autonomous agent that reads your project structure, plans a sequence of steps, edits files, runs shell commands, and checks its own output against your build and test suite before declaring done. You describe the goal; it handles the steps. The self-verification loop — where it catches a broken typecheck and fixes it without prompting — is the part that separates it from a glorified shell wrapper. The ceiling appears on projects where the agent's context window fills before it has mapped the full dependency graph; community reports suggest large monorepos with deep cross-module dependencies push that limit faster than single-service repos. At that point, teams either scope tasks more tightly or reach for a dedicated sub-agent delegation pattern.

Makoto

Makoto hooks into Claude Code's event stream and audits each assertion — test results, citation matches, commit records, certificate claims — against a ledger of what the agent actually did, not what it reported. The vendor states the design targets zero false positives, meaning Makoto blocks on confirmed fakes rather than flagging on suspicion. That precision matters in CI gates where a noisy checker gets disabled within a week. The tool is reactive, not autonomous: it sits between agent action and downstream consequence, checking receipts. Teams without Claude Code in their stack have nothing to hook into — this is not a general-purpose verification layer.

Attribute	Codeep	Makoto
Pricing	Free	Free
Free trial	No	No
Open source	Yes	Yes
Has API	Yes	No
Self-hosted option	Yes	Yes
Platforms	macOS, Linux, Windows (WSL)	Python, Claude Code
Released	2026-05-30	—
Pros	Self-verification after every change set — the agent runs your build and tests and fixes failures before surfecting results — so you are not debugging a half-finished diff at the end of a long task. Provider-agnostic model routing across 9+ providers including local Ollama models, so switching away from a hosted API when costs spike is a config change rather than a platform migration. Plan Mode shows every file and command before execution, so teams with sensitive codebases or compliance requirements can review the agent's intent before a single line changes. Sub-agent delegation keeps the main context focused by offloading self-contained tasks (research, review, testing) to specialist agents that run in their own fresh windows, which means large tasks stay coherent longer than a single flat context allows. Apache 2.0 open-source with self-hosted option, so organizations running custom or private LLM infrastructure are not forced to route code through a third-party SaaS platform.	Blocks fabricated test and verification claims at the event level rather than logging them after the fact, so a false 'tests pass' report cannot reach a deployment gate unchallenged. Zero-false-positive design means the block signal stays meaningful — teams do not disable it after the first week of noise, which is what happens to checkers that flag on suspicion rather than confirmed mismatch. Apache-2.0 licensed and self-hosted, so the verification record never leaves your infrastructure — audit trails for compliance workflows stay under your control without a third-party dependency. Citation and commit record matching is built into dedicated modules, so agent-generated artifacts that cite sources or reference commits get cross-checked against actual logged activity, not just pattern-matched against formatting. Reactive hook architecture means Makoto adds a check layer without replacing the agent's planning or execution flow — you keep the Claude Code workflow intact and add the integrity gate on top.
Cons	On large monorepos with deep cross-module dependencies, the agent's context window fills before it has mapped the full dependency graph — tasks that span many modules require manual scoping or staged sub-agent delegation, and the verification loop can cycle on failures it cannot resolve without broader context. Codeep is CLI-first; teams that rely on an IDE canvas to visualize agent state, inspect intermediate steps, or approve changes inline will find the terminal output model insufficient — those teams typically switch to an IDE-native agent like Cursor or a visual workflow tool. With roughly 4,500 downloads in the past 30 days and 19 GitHub stars at time of data capture, the community is early-stage — production war stories, third-party integrations, and community-maintained skill libraries are sparse compared to established agent frameworks, which means debugging edge cases lands entirely on your own investigation or the vendor's docs.	The integration is Claude Code-specific with no API and no documented hook layer for other agent frameworks — teams running GPT-4 function-calling pipelines, LangGraph, or any non-Claude stack hit a dead end at installation and move to a custom audit logging layer instead. Self-hosted operation means your team owns the ledger storage, schema migrations, and the dispatch infrastructure — the `db.py` and `schema.py` files indicate local persistence you must manage, which becomes a maintenance burden when the project updates its schema and your production ledger does not. With zero open issues and zero pull requests on a 37-star repo, community-sourced fixes for edge cases in citation or commit matching are not available — teams that hit a verification gap in production write the patch themselves or file it and wait.

Bottom line

Only Codeep exposes a public API. Choose based on which difference matters most for your workflow.

Frequently asked questions

What is the difference between Codeep and Makoto?

Codeep is Free and open source, while Makoto is Free and open source. Compare pricing, free trial, API, platforms, and pros/cons in the table above on AIDiveForge.

Is Codeep better than Makoto?

It depends on your workflow. Use the side-by-side attributes (pricing, open source, API, self-hosted, platforms) to decide. AIDiveForge does not rank a universal winner — we publish verified facts so you can choose.

Codeep vs Makoto: which should I pick?

Pick Codeep if its pricing model, openness, or platform fit matches your constraints; pick Makoto otherwise. Check free-trial availability on each listing if you want to test before committing.

Comparison data is sourced and verified by the AIDiveForge data pipeline. AIDiveForge is editorially independent.