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With AI, Everyone is a Dev. EveryDev.ai ©
    1. Home
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    3. tkmd
    tkmd icon

    tkmd

    MCP Servers
    Featured

    A local Markdown task manager and program engine that uses CPM scheduling and verification gates to govern developers and AI coding agents.

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    At a Glance

    Pricing
    Open Source

    Self-hosted local CLI, dual-licensed under MIT or Apache-2.0 at the user's option. No cloud accounts or subscriptions.

    Engagement

    Available On

    macOS
    Linux
    Web
    API
    CLI

    Resources

    WebsiteDocsGitHubllms.txt

    Topics

    MCP ServersProject ManagementAgent Harness

    Alternatives

    planning-with-filesVibe KanbanAgiflow
    Developer
    Ken HarrisonSenior TPM at Amazon building agent systems and reusable AI…

    Listed Oct 2026

    About tkmd

    tkmd (CLI: tk / tkmd) is a Rust command-line task and project manager built by Ken Harrison (ktreharrison). It stores each task as a plain Markdown card with YAML frontmatter, schedules work with Critical Path Method and Design Structure Matrix algorithms, and acts as a governance harness for AI coding agents. The latest listed release is v0.1.2.

    What It Is

    tkmd is a deterministic program engine for developers and AI agents. Tasks live as tasks/tk-XXX-*.md files, and state transitions are recorded in an append-only .events.jsonl stream. It runs locally as a single binary, and the README states it makes no network requests and has no telemetry.

    How the Agent Governance Works

    Agents claim tasks (tk c), attaching a session ID so the conversation can be resumed later (tk u). Before submitting work, an agent must pass the card's shell eval command, then move the task to pending-close (tk r). Only human sign-off (tk d) moves a task to done, which then auto-promotes downstream blocked tasks to ready. POSIX advisory file locking prevents write collisions between concurrent agents.

    Scheduling and Analysis

    tk dep --cpm computes early start, late finish, schedule buffers and the critical path. tk dep --dsm detects circular dependencies, and tree, Gantt and AON views are also available. tk st computes flow telemetry such as Little's Law, MTTC and TPM90 natively, and the JSONL event log can optionally be queried with DuckDB.

    Setup and Storage Modes

    Install via a shell script or cargo install tkmd. tk init supports an Obsidian mode that syncs with a .base Kanban board and Daily Notes, a standalone CLI mode, and a per-repository local backlog (tk init -L). Local, global and merged scopes can be selected with flags. Shell completions are generated for Zsh, Bash, Fish, PowerShell and Elvish.

    MCP and Agent Skill

    tkmd mcp runs a JSON-RPC 2.0 MCP server over stdio. The README lists compatibility with Claude Desktop, Codex, Gemini CLI, Cursor, Zed, OpenCode and Pi. A bundled agent skill in skills/tkmd enforces the review-gate workflow.

    tkmd - 1

    Community Discussions

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    Pricing

    OPEN SOURCE

    Open Source

    Self-hosted local CLI, dual-licensed under MIT or Apache-2.0 at the user's option. No cloud accounts or subscriptions.

    • Dual-licensed: MIT or Apache License 2.0 (user's choice)
    • 100% local and offline, zero network requests, no telemetry
    • Markdown task cards with YAML frontmatter
    • CPM and DSM scheduling (tk dep --cpm / --dsm)
    • Agent verification gates (eval) and pending-close human sign-off

    Capabilities

    Key Features

    • Markdown task cards with YAML frontmatter
    • Critical Path Method scheduling (tk dep --cpm)
    • Design Structure Matrix cycle detection
    • Eval shell verification gates
    • pending-close human sign-off workflow
    • Automatic blocker cascade unblocking
    • Session resume for AI agent sessions
    • Stdio MCP server
    • Obsidian Base Kanban sync
    • Local, global and merged scopes
    • Append-only JSONL event log and flow telemetry
    • Fuzzy task search
    • Shell completions
    • Bundled agent skill

    Integrations

    Obsidian
    Claude Code
    Codex
    Gemini CLI
    OpenCode
    Cursor
    Zed
    Claude Desktop
    Pi
    DuckDB
    fzf
    bat
    API Available
    View Docs

    Ratings & Reviews

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    Developer

    Ken Harrison

    Senior TPM at Amazon building agent systems and reusable AI workflows. Sport science mindset: measure, instrument, iterate.

    Read more about Ken Harrison
    WebsiteGitHubLinkedIn
    1 tool in directory

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