Skip to main content

The memory + seatbelt for your AI coding agent. Spec-driven TDD for Claude Code — knowledge-aware, human-gated, local-first.

Project description

mokata

The memory + seatbelt for your AI coding agent. Spec-driven TDD for Claude Code — knowledge-aware, self-healing memory, human-gated, local-first. It remembers your project and stops the agent shipping the wrong thing.

License: Apache-2.0 CI Version Python Docs local-first OpenSSF Scorecard

📖 Full documentation: https://mokata.ai/ — quickstart, tutorials, concepts, and the complete CLI + plugin reference. ▶ See it moving: the skills tour video · the 60-second seatbelt demo


See it catch a bad change (30 seconds)

An AI agent, mid-task, tries two bad changes — ship code with no spec, and stash an AWS key while waving its own write through. mokata stops both. (Real output; run it yourself with mokata init --profile standard --yes in a scratch repo.)

$ mokata run develop          # the agent tries to write code with no spec...
[BLOCKED] spec-persisted — no saved spec — draft and emit it first (/spec); the completeness gate must pass before implementation.

$ # ...then tries to stash a secret, approving its own write with approve=True:
status: proposed   committed: False
`approve`/`confirm` no longer commit: an approval is MINTED BY A HUMAN out-of-band (`mokata approve <id>`) and can only be REFERENCED here by id. Typing approve=true is not consent — it never was.

$ mokata audit                # the gate decision is on the ledger
audit ledger — 1 entry:
  #1   gate        gate=spec-persisted phase=develop decision=blocked reason=no saved spec ...

A model cannot approve its own writes at all. It can only propose one and hand you an id; the approval is minted by you, out-of-band, in a process the model isn't driving — and it is single-use, content-hashed, and expires. And if you do approve that write, the secret-guard still refuses it: approval is a methodology gate, never a security override.

There is a third block the agent can't route around either — reaching past mokata's tools for the editor's own Write trips a PreToolUse hook (exit 2) and the file is never touched. It's in the full demo.

The full copy-paste demo + a 60-second screencast script: mokata catches a bad change. See every differentiator run in differentiators in action.


See mokata in action

A quick tour of the workflow and skills — brainstorm → spec → test → develop → review → ship, with governance, memory, and the always-on status badge.

https://github.com/user-attachments/assets/a6940119-1edb-4017-b935-cd48b80b4ea9

▶ Video not playing inline? Watch it here.


mokata is an open-source framework for Claude Code that brings the best ideas in AI-assisted coding into one governed, knowledge-aware engine. At its core is a spec-driven TDD engine that starts by brainstorming the problem with you — one question at a time, weighing two or three real approaches grounded in your actual codebase before committing to anything. Only then does it draft a spec, and no code is written until that specification passes a provable completeness gate, every acceptance criterion is statically mapped to a test (RED before GREEN), and the finished code is reviewed back against the spec. Around that engine, mokata builds in the layers a single tool usually leaves out — a persistent codebase knowledge graph so the agent navigates by structure instead of guessing, persistent, self-healing memory (decisions, conventions, and past conversations that survive across sessions and surface their own contradictions instead of silently rotting), and active token-and-cost governance that retrieves just what's needed rather than dumping files into context. Memory and its self-healing ship as part of the framework, on by default — not an add-on you wire up. It can also orchestrate the external tools you already trust — like code graphs — under one set of gates with a full audit trail, and every durable write, whether to code, memory, or config, is human-gated: nothing silent, nothing autonomous. And it's fully configurable and composable — switch any layer or tool on or off, pick a profile, or reach for a single capability on its own: generate tests, debug a failure, or review a diff as a standalone command or directly-invoked skill, entering the pipeline wherever you need rather than running the whole thing. mokata is local-first, phones home nothing by default, is Apache-2.0 licensed, and is built so you can review every decision it makes.

Naming: mokata = the framework · MoStack = the brand it ships under.

Why mokata

  • Spec-driven, provable completeness. No code ships until every acceptance criterion maps to a test (RED before GREEN). The completeness gate blocks emit — it never silently passes.
  • Knowledge + memory built in. A codebase knowledge graph (adopted, with an embedded stdlib-AST floor beneath it and grep below that) and persistent, self-healing memory (on by default) — the agent navigates by structure and remembers decisions across sessions.
  • Governed by default. Every durable write (code, memory, config) is human-gated — the model proposes, you mint the approval out-of-band (mokata approve <id>; single-use, content-hashed). Sync hooks block (exit 2), async hooks observe: two sync blocks ship and they differ in kind — the secret-guard (security; never overridable) and the gate-guard (run-state/methodology; overridable with a reason, on the ledger). Every gate decision and tool call lands in an append-only audit ledger.
  • Local-first, no telemetry. Nothing leaves your machine unless you explicitly wire an external service. The minimal profile performs zero network egress.
  • Configurable & composable. Toggle any layer/tool, pick a profile, run any capability standalone, and enter the pipeline from any phase.
  • Meets you where you work, ships trustworthy. Runs under Claude Code, Cursor, Copilot, Windsurf, Codex, Gemini CLI, and Aider (a VS Code extension is planned, not yet available); sessions travel between machines; teams share one governed backend safely; and releases carry an SBOM + Sigstore provenance — no telemetry, ever.

Install

Start here → Getting started. The canonical, pip-first path.

In Claude Code (recommended) — one install, then one command wires the full workflow (slash commands + Agent Skills + MCP server + status line), on your existing Claude Code sign-in — no API key:

pip install mokata               # MCP server works out of the box (the SDK is a default dep)
mokata setup claude              # wires commands + skills + MCP + statusline — human-gated
# restart Claude Code, then:
mokata mcp status                # expect: mokata-mcp: CONNECTED ✓

Requires Python ≥ 3.10.

As a CLI, with any AI tool — harness-agnostic (Gemini, Codex, scripts, CI). The CLI is the engine's mechanics (no LLM of its own); wire it into any shell- or MCP-capable assistant:

pip install mokata
mokata init

See Integrate with other AI tools.

Pending Claude plugin-directory approval. A one-click Claude Code plugin is planned, not yet available — mokata isn't registered on any Claude Code marketplace. The supported way to run mokata inside Claude Code today is the pip-first path: pip install mokatamokata setup claude (see Getting started). (This notice auto-flips once the listing is approved — single source: scripts/directory_listing.py.)

Contributing (developers). Only clone if you're working on mokata itself — end users never need to: git clone https://github.com/JasGujral/mokata-oss.git && cd mokata-oss && pip install -e . (on Python ≥ 3.10 this also pulls the MCP SDK). See CONTRIBUTING.md.

Quickstart

In Claude Code (primary) — after mokata setup claude, drive the workflow with slash commands:

/brainstorm        # Socratic pre-spec exploration (HARD-GATE before any spec)
/spec              # draft the spec (blocked until every acceptance criterion maps to a test)
/test  /develop    # RED-before-GREEN
/review            # spec-compliance, then quality

Or via the CLI (outside Claude Code):

mokata init                         # scaffold .mokata/ (default profile: standard); human-gated
mokata init --mode seatbelt         # or start graduated: seatbelt | memory | full
mokata brainstorm                   # Socratic pre-spec exploration (HARD-GATE before spec)
mokata playbook                     # drive the full story end-to-end through the pipeline

--mode {seatbelt,memory,full} is a graduated adoption on-ramp — a named alias for a profile plus a printed 5-minute quickstart, mutually exclusive with --profile. seatbelt gets you the gates (and the AST code graph they need), memory adds typed persistent project memory, full wires everything; memory/full additionally offer the optional local embeddings model when run interactively. Only the profile is persisted — the mode is an on-ramp, not a second config axis. See Getting started.

A pip CLI install is terminal-only — it runs the deterministic engine with no LLM attached. It does not put mokata inside Claude Code; for that, install the plugin or run mokata setup claude. (Why two ways.)

Full walkthrough: docs/quickstart.md · full hands-on guide → the Complete Guide (with a downloadable PDF) · published docs: https://mokata.ai/

Core concepts

  • 7-phase pipeline + gates — brainstorm → analysis → strawman → pre-mortem → probes → completeness gate → emit; enter at any phase, each phase's gates still apply.
  • Knowledge layer — structural queries (callers/callees/imports/blast-radius) via an adopted graph, with an embedded stdlib-AST floor when none is adopted (grep beneath that); staleness is surfaced, never served silently.
  • Memory — persistent / decision / episodic, on by default, self-healing by surfacing old→new diffs for your approval (never a silent rewrite).
  • Execution modes — sequential gated flow (default, lowest-cost) or parallel subagents (fresh-context isolation + two-stage review, concurrent fan-out), chosen per run, degrade-safe; optional git-worktree isolation keeps concurrent/paused work off the main tree.
  • Governance & audit — 4-tier rules, Karpathy gates, 4-layer secret protection, per-task model routing, reversible writes, full audit ledger. Inside an active run, four run-state gates stop the agent's own file writes in Claude Code — approach-approval (still in brainstorm, no approach approved), spec-persisted (no spec yet), no-code-without-failing-test (no RED on record), and spec-scope (outside the spec's authorized surface, or a feature you agreed not to build). Test files stay writable; hand-editing outside a run is never policed; mokata gate status shows what's enforced and mokata gate override <gate> --reason "…" lifts one, on the ledger. See the governed state at a glance with mokata govern (a read-only dashboard) and the what-it-did-and-why timeline with mokata audit --why.
  • Session lifecycle & portable sessions — list runs (mokata sessions), resume from the last passed gate (mokata resume), pause/resume a mid-brainstorm (the HARD-GATE still holds), snapshot the in-flight session with mokata session save (local, ungated), and carry it across machines or hand it to a teammate: mokata session push <tag> / pull <tag> packages checkpoints + approach + in-progress brainstorm + relevant memory into a machine-path-free, versioned, secret-scanned + human-gated bundle (--save-first to snapshot and bundle in one step; sharing unfinished thinking needs an explicit --allow-in-progress, or --requirements-only to hand over just the distilled requirements). An approach approval never crosses machinespull strips it, so you re-approve here (the emitted spec travels intact). Sessions carry a human-friendly name you can session name.
  • Progress & visibility, one model — one RunProgress drives every surface: an always-on stage badge (statusline, on by default, merge-safe), the native to-do widget where the harness has one, the printed run-progress block, and the per-subagent lanes in mokata watch / progress --lanes. No duplicated progress logic — channel-specific renderers over one source of truth.
  • Runs under every agent, shows up in your editor — the engine runs behind a thin boundary (mokata harness shows the capability matrix) with in-harness surfaces for Claude Code, Cursor, GitHub Copilot, Windsurf, Codex, Gemini CLI, and Aider, each degrading clearly where it lacks a capability. A VS Code extension (editors/vscode) with a read-only Copilot Chat @mokata participant — governance, memory, and run-progress in your editor — is planned (not yet available).
  • Team & sharing — one guided mokata team join chains adopt → shared memory (BYO Postgres) → vault pull → onboard → doctor (each human-gated, secret-scanned, reversible); publish/adopt governed per-framework community stacks (mokata stacks); and the team's audit/activity logs can live shared or local, conflict-free — no telemetry, nothing phoned home. One shared backend safely hosts many projects: every shared row is scoped by a stable project key, so review defaults to your project (--all / --project to span or pick).
  • Supply-chain trust — releases ship a reproducible sdist+wheel, a CycloneDX SBOM, and a Sigstore build-provenance attestation generated at tag-time in CI (the repo ships no pre-signed artifacts); all five CI workflows are least-privilege and SHA-pinned.

Profiles & configuration

Profile Layers Capabilities Network
minimal engine, governance none (engine only) zero egress
standard (default) + knowledge, memory code graph (ast→ripgrep→grep) + memory (SQLite) local-only
full all every known graph + memory provider (degrade to floors) only present tools, all gated

Per-layer / per-tool toggles, the trust dial (per write surface or per tool — enforced today on the MCP write surface), and profiles are all in the committed manifest. See docs/profiles.md.

Commands & skills

mokata skills lists the catalog — 16 curated skills Claude can auto-engage (each also a slash command — bare /<name> on the pip + mokata setup claude route): the pipeline (brainstorm, refine, onboard, spec, test, develop, review, debug, optimize, bug, ship) plus standalone/auto-firing govern, session, playbook, docsync (docs↔code reconciler, human-gated fixes), and mcp-repair — and 10 domain-knowledge skills (API design, security, performance, frontend/accessibility, browser testing, CI/CD, git workflow, deprecation, docs/ADRs, shipping) that attach to the pipeline phase where they apply. Utilities like version stay CLI-only.

The CLI exposes 67 subcommands, including:

  • Pipeline & skillsbrainstorm, spec (show/amend), test, develop, review, ship, refine, debug, bug, optimize, onboard, plus run/enter/exec/playbook (--dense)/preview/chain and skill author.
  • Approvals & gates (the seatbelt)approve [<id>] (mint the approval for a proposed write in your terminal; bare approve lists what's pending. There is no approve slash command; the in-chat MCP approve tool (mcp__mokata__approve) is opt-in and default-OFF, and even when enabled Claude Code prompts you on every call — the model never mints its own consent unprompted) and gate (status/override/clear — the run-state gates; an override needs a reason and is ledgered).
  • Inspection (read-only)status, query, rules, audit (--why), budget, coverage, lat-check, index, doctor, baseline, harness, progress (--lanes), watch, govern, sessions, windows (concurrent Claude Code windows on one repo).
  • Memory & knowledgememory (edit/export/import/migrate/reembed/consolidate/promote/review), govern.
  • Session lifecycle & portabilitysessions, resume, enter, session (save/push/pull/list/name), worktree create (give a window its own working tree).
  • Team, stacks & sharingteam (init/join/adopt/connect/disconnect), mode, sync, stacks (list/search/show/install), vault.
  • Setup, config & distributioninit, setup/unsetup, reconfigure, tour, config, bootstrap, validate, route, detect, reset, suggest, mcp, ci-check, export/import, version/upgrade, release-check.

Full list with flags: the CLI reference.

Contributing · Security · License

  • CONTRIBUTING.md — dev setup, the clean-room rule, tests in both jsonschema states.
  • SECURITY.md — how to report a vulnerability (privately).
  • CODE_OF_CONDUCT.md — Contributor Covenant.
  • LICENSE — Apache-2.0, © MoStack. mokata is built clean-room (no dependency on any other framework).

Links

  • Documentation: https://mokata.ai/ (the published docs site; source in docs/, built with MkDocs)
  • Changelog: CHANGELOG.md
  • Issues & discussions: the repository's Issues / Discussions tabs

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

mokata-0.0.15.tar.gz (1.8 MB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

mokata-0.0.15-py3-none-any.whl (1.2 MB view details)

Uploaded Python 3

File details

Details for the file mokata-0.0.15.tar.gz.

File metadata

  • Download URL: mokata-0.0.15.tar.gz
  • Upload date:
  • Size: 1.8 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.14

File hashes

Hashes for mokata-0.0.15.tar.gz
Algorithm Hash digest
SHA256 2f96d185c061657b02a587a39f722ce6d682a60b271bd4da9dfd7a5719bcb175
MD5 b54708b7f2f2914132b84cf243f08e83
BLAKE2b-256 8f0e6c0c78a5dfd970b8d596c1d5f6312a5f662e2111d30a22f8b63d7eb1fbdc

See more details on using hashes here.

Provenance

The following attestation bundles were made for mokata-0.0.15.tar.gz:

Publisher: release.yml on JasGujral/mokata-oss

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file mokata-0.0.15-py3-none-any.whl.

File metadata

  • Download URL: mokata-0.0.15-py3-none-any.whl
  • Upload date:
  • Size: 1.2 MB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.14

File hashes

Hashes for mokata-0.0.15-py3-none-any.whl
Algorithm Hash digest
SHA256 d838074ee8250de590dcfaa0a2067604a6e78e0c06f2eddaa7cf038a9297e504
MD5 178aad726c44403a36215b07c21cddfd
BLAKE2b-256 5e5696c0e15a8392d0eb6d576126c85f53537ae6b085b1ca4236b91414ecbabc

See more details on using hashes here.

Provenance

The following attestation bundles were made for mokata-0.0.15-py3-none-any.whl:

Publisher: release.yml on JasGujral/mokata-oss

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page