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holoctl

A living project operating system for AI coding assistants. One source of truth in .holoctl/, compiled to whatever Claude Code, GitHub Copilot, OpenAI Codex, or any AGENTS.md-aware tool (Aider, Zed, Junie, Jules, Factory, goose…) reads. Durable cross-assistant memory, autonomous curator, multi-target compile, MCP server, web dashboard — all version-controlled next to your code.

🇺🇸 English | 🇧🇷 Português

PyPI Downloads CI MIT Python


TL;DR — three commands

# 1. Install (pick one — see "Installation" if `hctl` is not on PATH)
uv tool install holoctl                      # recommended
# or:  pipx install holoctl
# or:  pip install holoctl                   # ⚠️ requires an active venv (see below)

# 2. Plant the global router (once per machine, per assistant)
hctl setup-global --target all               # Claude + Copilot
# (Codex picks up the per-project AGENTS.md + .codex/config.toml emitted by `hctl init`.)

# 3. Initialize a project
cd ~/my-project && hctl init

Open Claude Code (or any supported assistant) in ~/my-project and type /holoctl. The agent reads the workspace, runs discovery, suggests specialist personas, populates context, and shows the overview — autonomously.


Table of contents

  1. Why holoctl
  2. Anatomy of .holoctl/
  3. Installation — including the pip venv gotcha
  4. Per-machine global setup
  5. Per-project initialization
  6. The /holoctl slash command — what it actually does
  7. Cross-tool compilation
  8. MCP vs CLI — design choice
  9. Daily workflows
  10. Command reference
  11. Configuration
  12. Lifecycle hooks
  13. Per-assistant guide — Claude / Copilot / Codex
  14. Coverage and doctor
  15. Privacy & coexistence
  16. Troubleshooting
  17. FAQ
  18. Migration from projctl / projhub
  19. Roadmap
  20. Documentation & license

Why holoctl

Every AI coding assistant defines its own native primitives — Claude Code skills, Copilot prompts, Codex .codex/config.toml, AGENTS.md for everything else. Maintaining the same project context across all of them is manual, error-prone, and never up-to-date.

holoctl is the abstraction that's missing from the ecosystem: you write project context once in .holoctl/, the compiler materializes the right native files for every tool. Plus a CLI, a Kanban board, a memory layer that survives across sessions, an event journal, an autonomous curator that proposes structural improvements, an MCP server, and a web dashboard — all built around the same source of truth.

It's "living" because it wakes up between sessions:

  • Durable memory at .holoctl/memory/ — the same notes appear in Claude (as skills), Copilot (as .github/instructions/), and Codex (via AGENTS.md) in each one's native shape.
  • Event journal captures every tool use, edit, and session boundary via hooks plumbed automatically.
  • Autonomous curator watches the journal and proposes new personas, path-scoped rules, or topic archives as meta:curate tickets on the board. Approve a suggestion by moving the ticket to done — it auto-executes.
  • Token-economy boot prints ≤1KB of session-zero context (top pendings, recent decisions, available topics) so the assistant doesn't burn tokens loading the whole CLAUDE.md.
  • MCP server exposes board / memory / journal / curator as standard tools (with per-tool permission gating in Claude Code).

Anatomy of .holoctl/

your-project/
├── .holoctl/                       ← single source of truth, committed to git
│   ├── config.json                 ← project name, prefix, board statuses, targets
│   ├── instructions.md             ← compiled to CLAUDE.md / AGENTS.md / .codex/AGENTS.override.md / .github/copilot-instructions.md
│   │
│   ├── board/                      ← Kanban + tickets
│   │   ├── WORKFLOW.md             ← state machine doc (template-managed)
│   │   ├── index.json              ← auto-rebuilt projection of tickets/*.md
│   │   └── tickets/PRJ-001-*.md    ← each ticket = one Markdown file with frontmatter
│   │
│   ├── agents/                     ← active personas (only `boardmaster` after `hctl init`)
│   │   └── boardmaster.md          ← library (developer / reviewer / architect / researcher / dba / devops / security-auditor / tech-writer / agent-designer) added on demand, or design a new one with `/agent-new`
│   │
│   ├── commands/                   ← /board, /ticket, /spec, /sprint, /close, /decision, /status, /agent-new
│   │
│   ├── context/                    ← project-level prose
│   │   ├── objective.md            ← What / Why / Success criteria
│   │   ├── architecture.md         ← Tech stack / Structure / Patterns / Boundaries
│   │   ├── conventions.md          ← Code style, naming, testing
│   │   ├── decisions/              ← ADR-style hard locks
│   │   └── documents/              ← free-form supporting docs
│   │
│   ├── memory/                     ← durable cross-assistant notes
│   │   ├── MEMORY.md               ← always-on index
│   │   ├── .gitignore              ← excludes `_archived/` by default
│   │   └── topics/                 ← lazy / glob / always_on topics
│   │
│   ├── journal/                    ← daily JSONL of session events
│   │   └── 2026-05-08.jsonl
│   │
│   ├── curator/                    ← curator state + per-ticket metadata
│   │
│   ├── hooks/                      ← (optional) declarative hooks per lifecycle event
│   ├── rules/                      ← (optional) path-scoped rules with `paths:` frontmatter
│   ├── skills/                     ← (optional) custom skills with progressive disclosure
│   ├── output_styles/              ← (optional) Claude-specific output styles
│   ├── ignore                      ← (optional) gitignore-style for assistant-specific ignore lists
│   │
│   └── activity.jsonl              ← raw activity log (low-level)
│
├── …your code
│
└── (compiled outputs — usually .gitignored)
    ├── AGENTS.md                   ← cross-tool universal (Codex / Aider / Zed / Junie / …)
    ├── CLAUDE.md                   ← Claude Code
    ├── .claude/                    ← Claude Code agents/commands/settings.json
    ├── .github/                    ← Copilot instructions + prompts + memory instructions
    ├── .vscode/mcp.json            ← MCP server config for Copilot-in-VSCode
    └── .codex/                     ← OpenAI Codex: AGENTS.override.md + config.toml (mcp_servers)

Optional folders (hooks/, rules/, skills/, output_styles/, ignore) are not created by hctl init. They're opt-in surfaces you create when you need them. Compilers only emit what exists in the source — empty input produces empty output (anti-overengineering).


Installation

Requires Python ≥ 3.11.

Option A — uv tool (recommended)

uv tool install holoctl
hctl --version

uv tool creates an isolated venv automatically and puts hctl on your PATH. Nothing else needed.

Option B — pipx

pipx install holoctl
hctl --version

Same isolation as uv tool. Requires pipx (pip install pipx && pipx ensurepath).

Option C — pip (⚠️ requires an active venv)

pip install holoctl from a "naked" Python on a modern OS will fail with error: externally-managed-environment (PEP 668), or — if you bypass that — install into the system Python and hctl may end up in a directory not on your PATH.

The reliable way is to create a venv specifically for holoctl and activate it before running hctl:

# Linux / macOS
python3 -m venv ~/.venvs/holoctl
source ~/.venvs/holoctl/bin/activate
pip install holoctl
hctl --version

# Windows (PowerShell)
python -m venv $HOME\.venvs\holoctl
& $HOME\.venvs\holoctl\Scripts\Activate.ps1
pip install holoctl
hctl --version

# Windows (cmd.exe)
python -m venv %USERPROFILE%\.venvs\holoctl
%USERPROFILE%\.venvs\holoctl\Scripts\activate.bat
pip install holoctl
hctl --version

Caveat with venv-based pip install: hctl only works while the venv is activated. To make it always available, add a wrapper:

# Linux/macOS — add to ~/.bashrc or ~/.zshrc
alias hctl="$HOME/.venvs/holoctl/bin/hctl"
# Windows — add to $PROFILE
function hctl { & "$HOME\.venvs\holoctl\Scripts\hctl.EXE" $args }

This is exactly the kind of friction that uv tool and pipx avoid. If you have any choice, use one of those.

Optional ML extra

uv tool install "holoctl[ml]"        # ~250MB — adds ONNX paraphrase detection to the curator

Verifying the install

hctl --version              # 0.17.0+
hctl --help                 # full command list
hctl doctor --global        # checks ~/.claude and ~/.copilot install (will report 'missing' until step 2)

Per-machine global setup

hctl setup-global plants the /holoctl router in each AI tool's user-level config, so the slash command works in any folder — even before hctl init.

hctl setup-global --target all              # Claude + Copilot
hctl setup-global --target claude           # only Claude Code
hctl setup-global --target copilot          # only Copilot CLI
hctl setup-global --target all --dry-run    # preview without writing

What gets installed:

Tool File Format Idempotent block
Claude Code ~/.claude/commands/holoctl.md + ~/.claude/skills/holoctl-router/ Slash command + skill with references replaces files
Copilot ~/.copilot/AGENTS.md Markdown section appended <!-- holoctl:start … end --> markers

Codex and other AGENTS.md-aware assistants (Aider, Zed, Junie, Jules, Factory, goose) pick up the per-project AGENTS.md emitted by hctl compile --target agents — they have no documented user-level surface for slash routers, so setup-global is a no-op for them.

Detecting drift:

hctl doctor --global

Output:

holoctl: global-check
  ✓ Claude         router up-to-date (~/.claude/commands/holoctl.md)
  ✓ Copilot        holoctl block present (~/.copilot/AGENTS.md)

  All global routers up-to-date.

Per-project initialization

Inside a project folder:

cd ~/my-project
hctl init

What init does, in order:

  1. Creates .holoctl/ structure (board, agents, commands, context, memory, journal).
  2. Writes config.json with inferred project name (= cwd.name), prefix (= initials), and the shipped provider catalog (Linear / GitHub / Trello / Azure DevOps / Jira / Slack — URL patterns mapped to MCP fetch tools).
  3. Seeds boardmaster.md (the only mandatory persona — owns ticket lifecycle). All other personas (developer / reviewer / architect / researcher / dba / devops / security-auditor / tech-writer / agent-designer) stay latent in the library until hctl agent add <name> or /agent-new activates them.
  4. Seeds instructions.md, WORKFLOW.md, ticket _template.md, and eight default commands (/status, /ticket, /spec, /board, /sprint, /decision, /close, /agent-new).
  5. Plants Claude lifecycle hooks (SessionStarthctl boot, Stophctl handoff, deny-list for derived files) and built-in reactive skills (holoctl-router, holoctl-spec-flow, holoctl-provider-mcp, holoctl-work-item-router, holoctl-persona-suggester, holoctl-ticket-discipline, holoctl-memory-discipline, holoctl-parallel-evaluator).
  6. Writes MCP server config (.claude/settings.json:mcpServers.holoctl).
  7. Compiles default targets (agents + claude).

Flags:

hctl init --name "My Project" --prefix "MP"           # explicit
hctl init --targets agents,claude,copilot,codex      # custom target set
hctl init --bare                                       # skeleton only — skip compile/hooks/MCP
hctl init --skip-compile                               # init but don't compile yet

Re-running hctl init in an already-initialized workspace is idempotent — it re-syncs template-managed files (commands/*.md, WORKFLOW.md, _template.md, boardmaster.md) without touching user-owned files (tickets, hand-edited agents, context docs, custom rules/skills/hooks).

If you upgrade holoctl after init, run:

hctl upgrade --check     # show CHANGELOG slice
hctl upgrade             # apply migrations + recompile

The /holoctl slash command

This is the routing brain. After steps 2 + 3 above, type /holoctl (or invoke the equivalent skill) in any assistant. The agent runs:

hctl doctor

The first line of output is router-friendly — one of:

First line Flow What the agent does next
holoctl: not initialized Flow A hctl init → discover codebase → suggest personas → seed memory → hctl overview
holoctl: outdated Flow B hctl upgrade --check, ask for confirmation, then hctl upgrade + hctl boot
holoctl: ok Flow C hctl boot (≤1KB teaser), react to pending tickets / curator suggestions

Flow A in detail (the most important one — first time in a project):

  1. Detect. hctl doctor returns not initialized.
  2. Init. hctl init --name "<inferred>" --prefix "<PRX>".
  3. Discover. Reads in parallel: README, package files (package.json, pyproject.toml, Cargo.toml, go.mod, …), top-level dirs, lint configs, existing AI configs (read-only — never overwrites).
  4. Configure.
    • Sub-repos: if multiple sub-projects detected, one aggregated question ("Found backend/, frontend/, mobile/. Register all?"), then hctl repo add for each approved.
    • Context files: writes .holoctl/context/{objective,architecture,conventions}.md and .holoctl/instructions.md directly from what was read. No per-file confirmation.
    • Ambiguity escape: if README is generic/missing, one question to clarify objective. Otherwise no questions.
  5. Suggest personas. hctl agent suggest maps detected stack → personas from the expanded library (developer / reviewer / architect / researcher / dba / devops / security-auditor / tech-writer / agent-designer). Examples: SQL + migrations/dba; .github/workflows/ + Dockerfile + Terraform → devops; docs/ with many .mdtech-writer. When no library entry fits the repo, /agent-new <name> invokes agent-designer to draft a persona tailored to your stack.
  6. Memory seed. Creates .holoctl/memory/topics/project-overview.md with a 3-5 line paragraph derived from README + package files. This is what hctl boot reads in session 2 so the agent "wakes up" knowing what the project is.
  7. Overview & next action. Runs hctl overview (canonical snapshot) and hctl boot (teaser). Reacts: proposes creating the first ticket, or surfaces curator suggestions, or points to next p1.

Total time: ~30 seconds, with 1-2 questions in the path.


Cross-tool compilation

hctl compile reads .holoctl/ and emits files in each target's native format. Targets:

hctl compile --target agents              # AGENTS.md (cross-tool universal)
hctl compile --target claude              # CLAUDE.md + .claude/...
hctl compile --target copilot             # .github/copilot-instructions.md + .github/prompts/... + .vscode/mcp.json
hctl compile --target codex               # .codex/AGENTS.override.md + .codex/config.toml (mcp_servers)
hctl compile                              # all targets in config.targets[]

The agents target emits AGENTS.md at the repo root — the agents.md standard adopted by OpenAI Codex, Aider, Zed, JetBrains Junie, Google Jules, Factory, goose, and other agents.md-aware tools. Always include it in your targets (the default config does).

Coverage matrix — what each compiler emits from each .holoctl/ source:

.holoctl/ source claude copilot codex agents
instructions.md CLAUDE.md .github/copilot-instructions.md .codex/AGENTS.override.md AGENTS.md (Objective/Architecture)
agents/*.md .claude/agents/<n>.md
commands/*.md .claude/commands/<n>.md .github/prompts/<n>.prompt.md
context/*.md (via instructions/memory) (via instructions) (via instructions override) AGENTS.md body
memory/topics/*.md .claude/skills/holoctl-mem-* .github/instructions/holoctl-mem-*
hooks/*.json (opt) .claude/settings.json merge .copilot/config.json merge
rules/*.md (opt) .claude/rules/<n>.md
skills/<n>/SKILL.md (opt) .claude/skills/<n>/...
output_styles/*.md (opt) .claude/output_styles/
MCP servers (config) .claude/settings.json:mcp .vscode/mcp.json .codex/config.toml:mcp_servers

See hctl coverage for a live, workspace-specific version of this table.


MCP vs CLI

Current design: skills and agents prefer MCP, fall back to CLI / paste

Since v0.17, slash commands, agents, and reactive skills prefer the MCP server when it's running, falling back to hctl CLI (or paste, for external content) when not. Examples:

  • Boardmaster calls mcp__holoctl__board_create({...}) first; CLI hctl board add '<json>' is the documented fallback.
  • /spec invokes the holoctl-provider-mcp skill to fetch an external card body via the provider's MCP (Linear / GitHub / Trello / Azure DevOps / Jira / Slack — or a custom internal board registered via hctl provider add); paste is the fallback, with source_* preserved either way. The MCP server is auto-spawned by Claude (via .claude/settings.json:mcpServers), Copilot (via .vscode/mcp.json), or Codex (via .codex/config.toml:[mcp_servers.holoctl]).
  • /agent-new calls mcp__holoctl__agent_create to materialize a designed persona; manual .md editing remains the escape hatch.
  • The /holoctl router still runs hctl doctor / hctl init / hctl boot over the shell — these don't have MCP equivalents because they bootstrap or terminate the assistant session itself.

The CLI remains the source of truth — every MCP tool maps 1:1 to a hctl subcommand — but MCP is the preferred path inside the assistant's loop because of finer permission gating, in-process speed after handshake, and structured JSON output that chains naturally.

The MCP server

hctl init writes the MCP config so each assistant can spawn hctl serve --mcp on demand. The server exposes 25 tools:

Read tools (auto-approved) Write tools (permissions.ask)
holoctl.board_list holoctl.board_create
holoctl.board_children holoctl.board_batch
holoctl.board_get holoctl.board_move
holoctl.board_show holoctl.board_set
holoctl.memory_list_topics holoctl.board_ack
holoctl.memory_read_topic holoctl.board_note
holoctl.memory_search holoctl.board_delete
holoctl.journal_recent holoctl.board_batch_move
holoctl.agent_list_available holoctl.board_batch_set
holoctl.curate_suggestions holoctl.board_batch_delete
holoctl.config_show holoctl.memory_add
holoctl.agent_add
holoctl.agent_create
holoctl.curate_silence

holoctl.config_show is what the holoctl-provider-mcp skill reads to discover the provider catalog at runtime — no hardcoded URL list inside the skill.

MCP-preferred trade-offs

Concern CLI MCP
Universality Runs in any terminal, any agent, any shell. Requires MCP-aware client.
Reproducibility Human can re-run the exact same command. Tool calls are JSON-RPC, less human-friendly to replay.
Speed Fork of Python (~80-150ms cold). In-process after handshake (faster after first call).
Permission gating Coarse — relies on shell allow-lists. Fine-grained — per-tool, write-tools land in ask.
Output Rich text formatted for humans. Structured JSON for machines/chains.

The CLI is always the fallback. If the MCP server is down (or never started), the assistant uses hctl directly and everything still works — including from a plain terminal with no AI tool at all.


Daily workflows

Spec-Driven Development (/spec)

Turn an external card or a multi-paragraph brief into a structured spec in .holoctl/, then automatically decompose it into parallel-safe child tasks.

/spec https://linear.app/eng/issue/ENG-42

What happens:

  1. Provider MCP discovery. The holoctl-provider-mcp skill matches the URL against the configured provider catalog (hctl provider list). If the Linear MCP is connected (.mcp.json), it fetches the card body directly. If not, it falls back to "paste the body here" — with source_provider, source_ref, source_url, source_label preserved either way.
  2. Discuss. One batched question to refine scope, acceptance criteria, files touched, edge cases. Skips when the source content is already explicit.
  3. Materialize spec. mcp__holoctl__board_create({kind: "spec", source_*, acceptance, context, ...}).
  4. Decompose. holoctl-parallel-evaluator splits the work into disjoint child tasks; boardmaster calls mcp__holoctl__board_batch({shared: {parent: SPEC_ID, source_*, ...}, tickets: [...]}). The CLI rejects the batch if any two children touch the same file.
  5. Propose execution. "Activate developer on PRJ-NNN+1?"

You can also /spec with free-form text (no URL) — same flow without the MCP fetch step.

External board providers (hctl provider)

Manage the catalog that maps URL patterns → MCP fetch tool names. Shipped defaults cover Linear, GitHub, Trello, Azure DevOps, Jira, and Slack.

hctl provider list                          # show current catalog with status
hctl provider test linear https://linear.app/eng/issue/ENG-42  # dry-run the URL match
hctl provider enable linear                 # auto / always / disabled
hctl provider disable jira

# Add a custom internal board:
hctl provider add acme \
  --mcp-fetch mcp__acme__get_card \
  --url-pattern '^https?://board\.acme\.corp/c/(?P<ref>[A-Z0-9]+)' \
  --label-template '{ref}: {title}'

When the catalog and the MCP tool both line up, /spec and holoctl-work-item-router use the fetch transparently. When the MCP isn't connected, the skills fall back to paste — never silently fake a fetch.

Create a ticket

hctl board add '{
  "title": "Add JWT auth",
  "agent": "developer",
  "priority": "p1",
  "projects": ["backend"],
  "goal": [
    "JWT signing implemented",
    "Unit tests cover happy + invalid token",
    "Lint and build pass"
  ],
  "context": "Sessions are cookie-based today; OAuth landing requires bearer."
}'

Or in chat: "create a p1 ticket for JWT auth, developer persona, with goal: signing, tests, lint". The agent (boardmaster) translates and runs the command.

Parallel-safe batch creation

hctl board batch '{
  "shared": { "tags": ["par:auth-flow"], "projects": ["backend"] },
  "tickets": [
    { "title":"JWT signing", "agent":"developer", "priority":"p1", "files":["src/auth/jwt.py"], "goal":["sign() emits HS256","tests"] },
    { "title":"Auth middleware", "agent":"developer", "priority":"p1", "files":["src/middleware/auth.py"], "goal":["verify+expiry","tests"] },
    { "title":"Auth integration tests", "agent":"reviewer", "priority":"p1", "files":["tests/test_auth.py"], "goal":["happy/expired/invalid"] }
  ]
}'

The CLI rejects the batch if any two tickets touch the same file (proves non-overlap before creating anything).

Move tickets

hctl board move PRJ-001 doing
hctl board set PRJ-001 priority p0
hctl board ls --status doing --priority p1

Memory

hctl memory add api-conventions --scope glob -g "src/api/**" \
  -d "API naming, error envelope, pagination"
hctl memory list
hctl memory search "JWT"
hctl memory get api-conventions          # read body
hctl memory archive old-topic            # moves to topics/_archived/

Topic scopes:

  • always_on — always included in the assistant's context (use sparingly).
  • lazy — referenced in MEMORY.md, agent loads when relevant.
  • glob — only loaded when the assistant is editing files matching the glob.

Personas

hctl agent list                          # active vs library
hctl agent suggest                       # heuristic — what to activate based on codebase
hctl agent suggest --json                # machine-readable for automation
hctl agent add developer                 # materialize from library
hctl agent add custom --from developer   # copy active agent as base
hctl agent remove developer              # deactivate (still in library)

Library (v0.17): developer, reviewer, architect, researcher, dba, devops, security-auditor, tech-writer, agent-designer. hctl agent suggest matches paths: globs against your repo (e.g. **/*.sqldba, **/.github/workflows/**devops).

When no library entry fits the repo, design a new one tailored to your stack:

/agent-new payments-specialist

The slash command delegates to the agent-designer persona, which reads the repo (README, package files, top-level dirs), drafts a schema-correct persona body (name / description / tools / paths / model), saves it as .holoctl/agents/<name>.draft.md, and asks for confirmation before materializing via mcp__holoctl__agent_create. The reactive holoctl-persona-suggester skill also surfaces "want a new persona for this gap?" whenever work touches paths no active persona owns.

Closing a session

hctl handoff                             # appends 1 line to memory/topics/session-trail.md
hctl handoff --note "Shipped 0.14"       # plus a custom note

If lifecycle hooks are installed (hctl init does this for Claude), Stop runs hctl handoff --auto automatically — you don't need to remember.

Session boot (cross-session continuity)

hctl boot                                # ≤1KB teaser
hctl boot --target claude                # records source in journal
hctl boot --plain                        # ASCII (no Rich color codes — used by hooks)

Output example:

## My Project — sessão 7
Pendências p0/p1: PRJ-003 Add JWT auth, PRJ-005 Fix N+1 in /tickets
Decisões recentes: 2026-05-04-jwt-vs-sessions, 2026-05-01-monorepo
Topics: api-conventions, decisions, session-trail
Personas ativas: boardmaster, developer, reviewer
⚡ 2 sugestão do curador (PRJ-042, PRJ-043) — `hctl curate show`

Curator

hctl curate run --auto                   # rate-limited (1/day, 14-day suppression per pattern)
hctl curate show                         # open meta:curate tickets
hctl curate apply PRJ-042                # run the proposed action manually
hctl curate silence <pattern_id>         # 14-day suppression
hctl board move PRJ-042 done             # ← approval auto-executes the action

Web dashboard

hctl serve                               # http://127.0.0.1:4242
hctl serve --host 0.0.0.0 --port 8000    # opt-in network exposure (warns: no auth)

Tabs: Board (Kanban / List / Tree views with SSE updates), Repos, Agents, Commands, Context.

MCP server

hctl serve --mcp                         # stdio MCP server — assistants spawn this on demand

Configured automatically by hctl init so you don't run it manually. Test it standalone with --mcp.


Command reference

Command What it does
hctl init Create or sync .holoctl/ (idempotent).
hctl setup Plant /holoctl skill in every detected assistant (legacy — see setup-global).
hctl setup-global --target X Install the global router for tool X (Claude / Copilot / all).
hctl upgrade Migrate workspace + recompile to installed version.
hctl compile --target X Generate AI-tool integration files. Default = config.targets[].
hctl serve [--mcp] Web dashboard (4242), or stdio MCP server.
hctl doctor [--global] Health check. First line = router-friendly.
hctl coverage [--only-present] [--target X] Matrix of .holoctl/ source → per-target outputs.
hctl overview One-screen workspace snapshot.
hctl boot [--target X] ≤1KB session-zero context. Recorded in journal.
hctl handoff [--note "..."] Append session-trail line. Auto-called by Stop hook.
hctl board <ls|add|move|set|batch|get|body|stat|rebuild-index> Tickets.
hctl agent <list|suggest|add|remove> Personas (library + active).
hctl provider <list|add|enable|disable|test|remove> External-board catalog — URL pattern → MCP fetch tool.
hctl memory <list|add|get|search|archive|seed> Durable memory.
hctl journal <record|show|count|tail|import> Event journal.
hctl curate <run|show|apply|silence> Autonomous curator.
hctl repo <list|add|info> Subprojects (auto-discovered + manual overrides).

Every command supports --help.


Configuration

.holoctl/config.json — only override what you need:

{
  "holoctlVersion": "0.17.0",
  "project": {
    "name": "My Project",
    "prefix": "MP",
    "repos": [
      { "path": "./backend", "name": "backend", "description": "FastAPI service" }
    ]
  },
  "board": {
    "statuses": ["backlog", "doing", "review", "done", "cancelled"],
    "priorities": ["p0", "p1", "p2", "p3"],
    "idPadding": 3
  },
  "git": { "checkDirty": false },
  "targets": ["agents", "claude", "copilot", "codex"],
  "server": { "port": 4242, "theme": "dark" },
  "providers": {
    "linear":  { "enabled": "auto", "url_pattern": "...", "mcp_fetch_tool": "mcp__linear__get_issue",   "label_template": "{ref}: {title}" },
    "github":  { "enabled": "auto", "url_pattern": "...", "mcp_fetch_tool": "mcp__github__get_issue",   "label_template": "{org}/{repo}#{ref}: {title}" }
    /* trello, azure_devops, jira, slack shipped too — see `hctl provider list` */
  }
}

Notes:

  • targets controls what hctl compile emits when called with no --target. Adding a target requires hctl compile --target X once to materialize.
  • git.checkDirty defaults to false — holoctl reads .git/HEAD/refs/config directly without spawning git status. Instant on Windows + corporate AV.
  • board.idPadding: 3 produces MP-001 (vs 2 → MP-01).
  • providers is populated additively on load_config — workspaces from older versions get the shipped defaults automatically. Use hctl provider add / enable / disable instead of hand-editing.
  • Adding a new field to a ticket: just write it in the .md frontmatter and run hctl board rebuild-index.

Lifecycle hooks

hctl init writes .claude/settings.json with hooks plumbed by default:

{
  "hooks": {
    "SessionStart": [
      { "type": "command", "command": "hctl journal record session_start --source claude --quiet" },
      { "type": "command", "command": "hctl boot --plain --target claude",
        "description": "Print session-zero teaser before user types" }
    ],
    "PreToolUse": [
      { "type": "command", "matcher": "Edit|Write",
        "command": "hctl journal record write_attempt --stdin --quiet --deny-glob '.holoctl/board/index.json,.holoctl/memory/MEMORY.md,.holoctl/activity.jsonl'",
        "description": "Block direct writes to derived state — force CLI usage" }
    ],
    "PostToolUse": [
      { "type": "command", "command": "hctl journal record tool_use --stdin --quiet" }
    ],
    "Stop": [
      { "type": "command", "command": "hctl journal record stop --quiet" },
      { "type": "command", "command": "hctl handoff --quiet --auto",
        "description": "Persist session-trail on every Stop. --auto skips trivial sessions." }
    ]
  },
  "permissions": {
    "ask": [ "mcp__holoctl__board_create", "mcp__holoctl__memory_add", "..." ],
    "deny": [ "Write(.holoctl/board/index.json)", "Edit(.holoctl/memory/MEMORY.md)", "..." ]
  }
}

The deny list is the enforcement for the rule "never edit derived state by hand" — even if the agent forgets the instruction, the harness blocks the tool call.

Copilot receives .copilot/config.json (allow/deny lists). Codex doesn't expose a public per-project hooks API — its lifecycle is handled by the user agent and AGENTS.md content.


Per-assistant guide

Claude Code

After hctl setup-global --target claude and hctl init:

  • Slash command: /holoctl (your global router).
  • Project context: CLAUDE.md + @.holoctl/memory/MEMORY.md reference (auto).
  • Subagents: .claude/agents/<name>.md — invokable via the Agent tool.
  • Hooks: .claude/settings.json:hooks (boot teaser on SessionStart, handoff on Stop, deny-list on PreToolUse).
  • MCP: .claude/settings.json:mcpServers.holoctl runs hctl serve --mcp.
# Verify
hctl doctor                        # workspace health
hctl doctor --global               # router install drift
ls .claude/                        # agents/, commands/, settings.json

GitHub Copilot

After hctl setup-global --target copilot and hctl init:

  • Global: ~/.copilot/AGENTS.md — appended block with <!-- holoctl:start … end --> markers.
  • Project: .github/copilot-instructions.md, .github/prompts/<name>.prompt.md.
  • Memory: .github/instructions/holoctl-memory-*.instructions.md with applyTo: glob.
  • MCP: .vscode/mcp.json.
  • Permissions: deny-list and allow-list flags via .copilot/config.json.

Copilot accumulates AGENTS.md content (doesn't overwrite) — the holoctl block coexists with anything else you have.

OpenAI Codex

After hctl init with codex in config.targets (or hctl compile --target codex):

  • Project AGENTS.md at the repo root (emitted by the agents target — Codex reads this natively per the spec).
  • Codex-specific override: .codex/AGENTS.override.md — compiled from .holoctl/instructions.md. Codex merges this on top of the root AGENTS.md, so it's the right place for Codex-only guidance without polluting the cross-tool file.
  • MCP: .codex/config.toml:[mcp_servers.holoctl] declares the holoctl stdio server. Codex loads .codex/config.toml once you trust the project (codex trust . or the prompt on first run).

No setup-global step — Codex has no documented user-level surface for slash routers.

Aider / Zed / Junie / Jules / Factory / goose / others

Any tool that respects AGENTS.md reads the file emitted by hctl compile --target agents. No tool-specific config needed for these — just keep agents in your config.targets (it ships there by default).


Coverage and doctor

hctl coverage

Shows the fork between source and target:

hctl coverage                        # all sources × all targets
hctl coverage --only-present         # only sources that exist in this workspace
hctl coverage --target claude        # only one target column

Output (filtered):

hctl coverage (source → per-target outputs)
  workspace: /home/me/my-project
  active targets: agents, claude, copilot, codex

  Source                             | agents     | claude       | copilot       | codex
  ─────────────────────────────────────────────────────────────────────────────────────────────
  instructions.md                    | ✓ AGENTS   | ✓ CLAUDE.md  | ✓ .gh/copi.md | ✓ .cx/AGENTS.override
  agents/*.md                        | —          | ✓ .cl/agents | —             | —
  commands/*.md                      | —          | ✓ .cl/comma  | ✓ .gh/prompts | —
  memory/topics/*.md                 | —          | ✓ .cl/skills | ✓ .gh/instr   | —
  (MCP servers)                      | —          | ✓ settings   | ✓ .vsc/mcp    | ✓ .cx/config.toml

hctl doctor

hctl doctor                # workspace health
hctl doctor --global       # global router install drift

First line is router-friendly (parsed by /holoctl):

  • holoctl: not initialized → no .holoctl/ found at or above cwd.
  • holoctl: outdated → workspace holoctlVersion < installed hctl --version.
  • holoctl: ok → workspace at current version.
  • holoctl: global-check--global mode.

Privacy & coexistence

  • hctl init writes nothing to $HOME. Only hctl setup-global does — and only the router files in user-scope locations of detected assistants.
  • No machine-wide registry, no daemon, no telemetry, no auto-update check. Workspace = .holoctl/ next to your code. That's the entire footprint.
  • .holoctl/memory/.gitignore ships with _archived/ excluded by default. Privacy-strict workspaces uncomment two lines to make the whole memory tree local-only.
  • Coexists with native auto-memory. Claude Code's auto-memory is not disabled. holoctl adds a @.holoctl/memory/MEMORY.md reference to CLAUDE.md so Claude reads both sources.
  • Compiled outputs are best .gitignore'd (.claude/, .codex/, .github/copilot-instructions.md, AGENTS.md, CLAUDE.md) — they're regenerated from .holoctl/. Some teams prefer to commit them for new contributors who don't have holoctl installed yet.

Troubleshooting

hctl: command not found

  • uv tool / pipx: should be on PATH automatically. If not, run uv tool update-shell or pipx ensurepath and reopen the terminal.
  • pip install: if you didn't use a venv, you hit PEP 668 or installed into the wrong Python. Re-do it via the venv method in Installation.
  • Workaround: python -m holoctl <subcommand> works regardless of PATH (as long as the venv is active).

/holoctl does nothing

  • Run hctl doctor --global. Probably you skipped hctl setup-global. Run it.
  • For Codex/Aider/Zed/other AGENTS.md-aware tools: no global router — they consume the per-project AGENTS.md emitted by hctl compile --target agents.

No .holoctl/ found

  • You're not in a project that's been hctl init'd. Either run hctl init here, or cd into a project that has .holoctl/.
  • find_project_root walks up the tree looking for .holoctl/config.json. If you're inside a subfolder of a project, it should still find it.

hctl init says "Refusing to downgrade"

  • The workspace was created with a newer hctl. Either upgrade your hctl (uv tool upgrade holoctl) or manually edit .holoctl/config.json:holoctlVersion (not recommended).

Compile produces stale outputs / hctl doctor --global always says "drift"

  • The user-edited their global router by hand → drift detected. Run hctl setup-global --target X --force to overwrite, or accept the drift if intentional.

Window edition / Powershell / hctl path issues

  • The legacy global router (pre-0.14) had a hardcoded venv path. If you're upgrading from before 0.14: run hctl setup-global --target claude to replace it with the PATH-based version.

MCP server not responding

  • hctl serve --mcp is stdio-only. The assistant spawns it via the MCP config; check .claude/settings.json:mcpServers.holoctl.command resolves to a valid hctl (or python -m holoctl).
  • Set HOLOCTL_BIN=/abs/path/to/hctl env var to override the auto-detection.

Tests fail with No module named 'httpx'

  • tests/test_dashboard.py uses fastapi.testclient which requires httpx. httpx is declared in pyproject.toml's [dependency-groups].dev (PEP 735) — picked up automatically by uv sync. If you're using plain pip (no uv), install it manually: pip install httpx pytest. The CI matrix uses uv sync --frozen and runs the full test suite without skipping.

FAQ

Do I have to use the slash command? Can I use hctl directly?

Yes. The CLI is the source of truth — slash commands are conveniences. Everything is doable from a terminal.

Can I use this without the AI assistant?

Yes. hctl board, hctl memory, hctl serve work fine standalone. You get a Kanban + memory layer + MCP server even without any AI tool.

Does this conflict with Claude Code's auto-memory?

No — they coexist. Claude reads both CLAUDE.md (which references .holoctl/memory/MEMORY.md) and its native auto-memory. The curator can promote durable patterns from auto-memory into versioned topics.

Can I share .holoctl/ across multiple repos in a monorepo?

Yes — that's the design. hctl init at the monorepo root, then hctl repo add ./backend ./frontend ./mobile. Tickets can declare projects: [backend, shared].

How do I add a new compile target (e.g. for a new AI tool)?

Add a module in holoctl/lib/compiler/<name>.py exposing compile_<name>(project_root, config, dry_run), register in compiler/__init__.py. See CONTRIBUTING.md.

Where's the data stored?

Everything in .holoctl/, in your repo, version-controlled by you. No cloud, no database, no daemon.

Can I customize the persona library?

Yes. The library lives in holoctl/templates/agents/ (read-only when installed via PyPI). To customize: clone the repo, edit, and pip install -e . for local dev. Or override per-project: hctl agent add custom --from developer then edit .holoctl/agents/custom.md.

The agent ignores my context files

Check that .holoctl/instructions.md is being compiled (not .holoctl/context/objective.md directly). The compile pipeline merges context → instructions → CLAUDE.md/AGENTS.md/etc. Run hctl coverage --only-present to see what's flowing where.


Migration from projctl / projhub

Earlier names of this project. holoctl reads .projctl/ and .projhub/ directories and auto-renames them to .holoctl/ on the next save. Tickets that used scope: X are read as projects: [X] and rewritten on the next board set or rebuild-index.

No manual migration needed — open a projctl/projhub workspace with hctl 0.14+ and it's silently upgraded.

If you had ~/.claude/commands/projctl.md or projhub.md: run hctl setup-global --target claude to install the new holoctl.md and delete the legacy ones manually.


Roadmap

  • Two-way provider sync — close the original card on the external board when the holoctl spec reaches done (currently the assistant just gets a reminder).
  • Expanded provider catalog defaults — community-contributed entries for less common boards (ClickUp, Asana, Notion, internal RFC systems).
  • Curator v2 — structural pattern detection (e.g., "you keep editing the same 3 files together; want a rule?").
  • .holoctl/skills/ ecosystem — community-shared skills with progressive disclosure (cross-tool by compile).
  • VS Code extension — board view + memory navigation in the IDE.
  • Multi-workspace dashboardhctl serve --multi for monorepos with many subprojects.

Documentation & license

MIT © Felipe Carillo

About

Project structure for AI coding agents — kanban board, named agents, slash commands, decisions log, live dashboard. Versioned in .holoctl/ next to your code. Compiles to Claude Code, Cursor, Windsurf, GitHub Copilot, Devin, Aider.

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