Task

Melxis Task

Core Concepts

• Hive: A namespace for grouping related mels and tasks (e.g., per project, per topic).
• Task: A unit of shared intent — an agent's work plan that persists across sessions and is shared across the agents and humans in your account (tasks stay within one account). Unlike mels (declarative knowledge), tasks are imperative (what to do).

For saving decisions, learnings, and building a knowledge graph, see the melxis-memory skill. Use related_mel_ids when creating tasks to connect them to relevant knowledge.

Quick Reference

Action	Tool	When to Use
Find hives	hive_search	Locate the right namespace before reading or writing
Search tasks	task_search	Find tasks by keyword, status, tags, or owner
Get task	task_get	Retrieve full detail of a task (description, resolved related_tasks / related_mels, sub_tasks)
Create task	task_create	Plan multi-step work across sessions
Patch task	task_patch	Localized edits to task descriptions / handoff snapshots
Update task	task_update	Update status, priority, links, or full task details
Delete task	task_delete	Remove completed or cancelled tasks

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When to Use Tasks

Create or update tasks when:

• The user requests multi-step work — create tasks to plan and track progress
• A session is ending with unfinished work — create tasks to hand off to the next session
• The user explicitly asks to plan, track, or create tasks
• The user asks what tasks remain or checks task status
• A task is progressing or completed — update status (in_progress → completed)

If Melxis MCP tools are unavailable, or a Melxis MCP call fails because of authentication, token, or connection errors, tell the user explicitly. Do not silently continue as if tasks were checked or updated. Ask the user to reconnect or sign in to Melxis MCP, then retry the Melxis call after they confirm. On Codex CLI, suggest codex mcp login melxis.

Routine Melxis bookkeeping stays silent; see AGENTS.md §Routine Melxis Bookkeeping. MCP availability, authentication, token, and connection failures are not routine and must still be reported.

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Resume / Checkpoint Recovery

Handoff recovery always targets a hive you own — tasks are private to each account, so shared hives have nothing to recover from. When resuming work or recovering after a missed checkpoint, do more than find the task. If progress is not reflected in Melxis, call task_patch or task_update before substantive work:

• Refresh the parent task description as compressed current state, not append-only history. Prefer task_patch for localized section replacement; if it fails due to stale text, call task_get and fall back to task_update(description=...) with a freshly compressed state.
• Update status, priority, tags, and related_mel_ids when the current state changed.
• Keep the parent task as goal / why / Definition of Done.
• Create or update sub-tasks for independently resumable remaining work with separate completion criteria.
• Do not create sub-tasks for ephemeral same-turn steps.

Routine updates stay silent unless they affect the user-facing answer or require a real user decision.

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Search Tasks

Tasks are private to each account — shares carry mels only. A hive shared with you exposes its mels, never its tasks (the server answers shared-hive task lookups with not-found or a guidance error), so always search, anchor, and hand off tasks in a hive you own.

task_search(hive_id: "<hive-id>")
task_search(hive_id: "<hive-id>", status: "in_progress")
task_search(hive_id: "<hive-id>", query: "auth migration")
task_search(hive_id: "<hive-id>", parent_task_id: "root")
task_search(hive_id: "<hive-id>", ids: ["<id1>", "<id2>", ...])  # batch hydrate

ids resolves a known list (e.g. related_task_ids) in one round-trip — up to 50 IDs per call. Use task_get only when you need the full description of a single task.

Supports filtering by:

• query — keyword match on title
• status — pending, in_progress, completed, cancelled
• tags — AND match on tag list
• owner — filter by assignee
• parent_task_id — use "root" for top-level tasks only, or a task ID for sub-tasks

Without a query or filters, returns all tasks ordered by priority then updated_at.

Response format

• task_search → [{id, hive_id, parent_task_id, title, status, priority, owner, tags, related_mel_ids, related_task_ids, updated_at}]

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Get Task Detail

task_get(id: "<task-id>")

Returns the full task including description, resolved related_tasks (each {id, title, status, priority}), resolved related_mels (each {id, name}), and — for root tasks — a sub_tasks array. Raw related_*_ids are not exposed by task_get — the resolved arrays preserve the caller's input order, and archived or deleted references are silently dropped, as are references into other hives (task resolution stays within the task's own hive even across your own hives — a narrower rule than account-level task privacy; max 50 each). Use this when you need more than the search summary: to read description, inspect 1-hop relationships, or list sub-tasks under a parent. For full link metadata (direction / reason / confidence) on a specific mel, call mel_get on its id.

Note: task_search still returns raw related_mel_ids / related_task_ids on each row — only task_get resolves them.

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Create & Manage Tasks

Create a task

task_create(
  hive_id: "<hive-id>",
  title: "Migrate auth to JWT",
  description: "## Steps\n\n1. ...\n2. ...",
  priority: "high",
  tags: ["auth", "migration"],
  related_mel_ids: ["<mel-id>"]
)

• Tasks support 2-level hierarchy: root tasks and sub-tasks (via parent_task_id).
• Use related_mel_ids to connect tasks to relevant design decisions or learnings from melxis-memory.
• Use related_task_ids to connect related tasks.

Update a task

task_patch(id: "<task-id>", old_text: "Current: ...", new_text: "Current: ...")
task_update(id: "<task-id>", status: "in_progress")
task_update(id: "<task-id>", status: "completed")
task_update(id: "<task-id>", priority: "urgent", tags: ["blocker"])

Use task_patch for localized description edits, especially handoff snapshot / current-state sections. It is content-addressed like mel_patch: if old_text is missing or matches multiple places, the tool fails rather than appending ambiguous text. On failure, call task_get, rebuild the intended section from the latest description, and use task_update(description=...).

Status flow: pending → in_progress → completed / cancelled.

Updating Array Fields (read-modify-write)

Array fields — tags, related_mel_ids, related_task_ids — are fully replaced by task_update, not appended. To add or remove items, read the existing value first. Note: task_get returns resolved related_mels / related_tasks (not raw IDs), so map back to ids before calling task_update (which still takes raw id arrays):

existing = task_get(id: "<task-id>")
existing_mel_ids = existing.related_mels.map(m => m.id)
merged = [...existing_mel_ids, "<new-mel-id>"]
task_update(id: "<task-id>", related_mel_ids: merged)

Filtering out items follows the same pattern. Do not call task_update with a partial array expecting a merge.

Delete a task

task_delete(id: "<task-id>")

Follows the active MELXIS_WRITE_POLICY (auto / smart / confirm) — same as create/update. Note: deletion is currently hard delete, so apply judgement (e.g., for cancelled work consider archive over delete; see Operational conventions). Graphiti-aligned soft / bi-temporal invalidation is planned mid-term work.

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Connecting Tasks and Knowledge

Tasks and mels serve different purposes but work together:

	Mel (melxis-memory)	Task (melxis-task)
Nature	Declarative — what is known	Imperative — what to do
Lifecycle	Persists and grows	Created → completed → removed
Example	"We chose JWT because..."	"Migrate auth to JWT"

Use related_mel_ids when creating tasks to link them to the decisions and context behind the work. This makes it easy for the next agent or session to understand why the task exists.

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Best Practices

A task is shared intent — externalized reasoning state that the next agent or session can pick up. Apply these practices so the trace stays meaningful across handoffs.

• Status reflects commitment, not activity (BDI-style intent tracking): pending = planned but not yet committed to act on; in_progress = actively being worked on right now; completed = the definition-of-done is met; cancelled = explicitly abandoned with a reason recorded in the description. Avoid silently leaving tasks in in_progress when work has stopped — either move them back to pending, mark cancelled with a reason, or finish to completed. To reopen a completed task, create a new task that links back to the old one rather than flipping the status.
• Keep task granularity to one independently resumable intention (GTD/PARA + BDI discipline): a task should have one coherent definition of done that the next agent can resume from description + related_mel_ids. Split when a task contains multiple independent outcomes, different priorities, different owners/surfaces, or separate completion criteria. Do not split merely because the title mentions multiple files, products, or surfaces if the DoD is one coherent outcome (e.g. "LP / Web / MCP guide consistency check").
• Split implementation from verification when verification outlives coding: if dogfood, real-client behavior, release readiness, external environment checks, or user-reported observations remain after code/tests pass, close the implementation task and create a separate verification task with related_task_ids pointing to the implementation task. When useful, read-modify-write the implementation task's related_task_ids back to the verification task; do not rely on description-only references. Do not split routine unit tests, lint, or same-session checks into separate tasks.
• Title carries the why, description carries the how and the thinking (reason-and-act framing): make the root task title express the goal or motivation, and sub-task titles express the concrete step. Use description to record the definition of done plus the trace of thinking — alternatives considered, blockers encountered, evidence gathered, and concrete checks still needed. The next agent should be able to resume from description alone.
• Parent task descriptions are compressed current state, not logs (GTD/PARA + ReAct discipline): do not append every turn or completed step. Keep parent descriptions focused on Goal, Current state, Scope/constraints, Evidence status, and links. When old notes stop helping the next agent act, replace them with a shorter summary via task_patch; use task_update(description=...) when the whole description needs rewriting.
• Use sub-tasks for independently resumable next actions: if a next action can be picked up in a later session, has its own completion condition, or can be owned/reviewed separately, create it as a sub-task instead of adding another bullet to the parent description. Do not create sub-tasks for ephemeral single-session steps such as "open file", "run test", or "inspect diff".
• Preserve evidence status in the task trace (provenance discipline): task descriptions should separate facts, user reports, and next actions. Avoid carrying hypotheses unless they are needed to define a concrete verification step. If a claim is based only on user report (dogfood behavior, trigger rates, client differences), mark it as user-reported / needs-verification in the description and add user-reported / needs-verification tags when useful. Promote it with task_update after logs, transcripts, code, docs, or other evidence confirms it. User preferences and explicit decisions can be recorded directly, but split out any external factual claim that still needs verification.
• Priority is engagement, not importance (GTD-style "engage" layer): priority signals when you intend to act. urgent / high / normal mean it belongs on the active radar; low is a Someday/Maybe parking lot for ideas you may revisit but are not committing to now.
• At task start, recover context before acting (reason-and-act framing): when task_update sets status to in_progress, run mel_search on the task topic and batch-hydrate the related mels in one call instead of calling mel_get per id. If you loaded the task via task_get use mel_search(ids: related_mels.map(m => m.id)); if via task_search use mel_search(ids: related_mel_ids) directly. Use mel_get only for the specific mels whose full content (not just summary) you need. Resume from the loaded rationale, not a cold reading of description. The point of the related-mel link is exactly this hand-off.
• At closure, evaluate feedback into memory (reflective + skill-library framing — most important): when a task moves to completed or cancelled, review the conversation log, task trace, tool activity, and related mels. Do not assume this means "always create a mel".
  • Existing memory refinement — if the lesson corrects, narrows, or sharpens an existing mel, prefer mel_patch or mel_update.
  • Insight (WHY) — search existing mels first. If the lesson is genuinely new, save a design decision, root cause, or anti-pattern with mel_create and tag design-decision / bug-fix / anti-pattern.
  • Procedure (HOW) — search existing convention/procedure mels first. If the work established a genuinely new reusable recipe worth applying to similar future tasks, save it with mel_create and tag convention.
  • Granularity — whether the completed/cancelled task actually contained multiple independently resumable intentions, different owners/surfaces, or separate completion criteria. Capture the split pattern as a reusable procedure or anti-pattern when it would improve future planning. Link task-derived memory back to the source task with reason "extracted-from-task" when useful. Skip when nothing is durable across sessions. See melxis-memory for the saving flow.
• Link the context that justifies the work (map-of-content discipline): when creating or updating a task, set related_mel_ids to the ADRs, root-cause analyses, or design mels that explain why the work exists. This is strongly recommended — without it the next agent cannot reconstruct the rationale.
• Propose bidirectional links (graph density discipline): whenever task_create / task_update adds related_mel_ids, also propose mel_link_create between those mels (reason: part-of) so the design context is dense in the mel graph, not only in the task. Symmetrically, when closure feedback updates or creates relevant memory, propose adding the relevant mel ID to the active task's related_mel_ids (read-modify-write — arrays are replaced, not appended).
• Search before creating: Use task_search to check for existing tasks and avoid duplicates.
• Use hierarchy: Group related sub-tasks under a root task for organization.
• Write behavior follows MELXIS_WRITE_POLICY (default auto — agent calls write tools directly when intent is clear). The SessionStart hook injects the active policy block; consult it for the authoritative behavior. Deletion follows the same policy (no carve-out).

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Operational conventions (dogfooding)

The conventions below are the melxis-com internal practice used while building Melxis itself. They are documented here as a concrete example — adapt the thresholds and tag vocabulary for your own team rather than treating them as normative.

• What counts as urgent: reserved for launch blockers and production incidents only. Day-to-day "soon" work belongs in high. This keeps urgent meaningful as a signal that something is actively breaking the business.
• WIP guideline for urgent root tasks: keep the number of urgent root tasks in flight low — roughly three at a time. When the count grows beyond that, the signal is no longer about scarcity and engagement degrades.
• Tag vocabulary — two axes, kept minimal:
  • Domain axis (existing): lp, legal, agent, web, db, and similar area tags that mark which surface a task touches. Maintain the established vocabulary; do not invent parallel synonyms.
  • Type axis (added minimally): release, bug-fix, feature. Add new type tags only when an existing one clearly does not fit.
• Archive vs delete: prefer soft-delete (archive) over hard delete for completed or cancelled tasks. Status (completed / cancelled) and archive state are orthogonal — a task can be completed and still live, or cancelled and archived. Hard task_delete is reserved for genuine mistakes (duplicates, accidental creation), not for routine cleanup of finished work.

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Errors

Error	Cause	Action
Authentication required	Not authenticated	Guide user through OAuth flow
No write access to hive	Viewer role on this hive	Check role with hive_search
Item limit reached	Account task quota exceeded	Inform user of plan limits