Ontology
1mancompany/OneManCompany
Typed knowledge graph for structured agent memory and composable skills.
Task management via Basic Memory schemas: create, track, and resume structured tasks that survive context compaction.
Install Memory Tasks
$ npx skills add basicmachines-co/basic-memory --skill memory-tasks -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install basicmachines-co/basic-memory memory-tasks --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/basicmachines-co/basic-memory.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/memory-tasks .claude/skills/memory-tasks && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "memory-tasks" agent skill from https://github.com/basicmachines-co/basic-memory/tree/main/skills/memory-tasks into .claude/skills/memory-tasks/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "memory-tasks", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/basicmachines-co/basic-memory/tree/main/skills/memory-tasksType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add basicmachines-co/basic-memory --skill memory-tasks -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install basicmachines-co/basic-memory memory-tasks --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/basicmachines-co/basic-memory.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/memory-tasks .agents/skills/memory-tasks && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "memory-tasks" agent skill from https://github.com/basicmachines-co/basic-memory/tree/main/skills/memory-tasks into .agents/skills/memory-tasks/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "memory-tasks", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add basicmachines-co/basic-memory --skill memory-tasks -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install basicmachines-co/basic-memory memory-tasks --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/basicmachines-co/basic-memory.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/memory-tasks .cursor/skills/memory-tasks && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "memory-tasks" agent skill from https://github.com/basicmachines-co/basic-memory/tree/main/skills/memory-tasks into .cursor/skills/memory-tasks/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "memory-tasks", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/basicmachines-co/basic-memory.git --path skills/memory-tasks--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add basicmachines-co/basic-memory --skill memory-tasks -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install basicmachines-co/basic-memory memory-tasks --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/basicmachines-co/basic-memory.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/memory-tasks .gemini/skills/memory-tasks && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "memory-tasks" agent skill from https://github.com/basicmachines-co/basic-memory/tree/main/skills/memory-tasks into .gemini/skills/memory-tasks/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "memory-tasks", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install basicmachines-co/basic-memory memory-tasksInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add basicmachines-co/basic-memory --skill memory-tasks -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/basicmachines-co/basic-memory.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/memory-tasks .github/skills/memory-tasks && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "memory-tasks" agent skill from https://github.com/basicmachines-co/basic-memory/tree/main/skills/memory-tasks into .github/skills/memory-tasks/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "memory-tasks", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add basicmachines-co/basic-memory --skill memory-tasks -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install basicmachines-co/basic-memory memory-tasks --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/basicmachines-co/basic-memory.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/memory-tasks .opencode/skills/memory-tasks && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "memory-tasks" agent skill from https://github.com/basicmachines-co/basic-memory/tree/main/skills/memory-tasks into .opencode/skills/memory-tasks/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "memory-tasks", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
memory-tasks- GitHub stars
- 4.1k
- Used in
- 1 other repo
- Token cost
- ~1.4k tokens
- SKILL.md length
- 451 words
- Files
- 1
- Skills in repo
- 49
- Repo updated
- First seen
- Licence
- AGPL-3.0
At a glance
Task management via Basic Memory schemas: create, track, and resume structured tasks that survive context compaction.
- Works in 4 steps: Search for active tasks → Read the task note to get full context → Resume from current_step using the… → …
- Tasks that involve Context engineering
- SKILL.md covers When to Use, Task Schema, Creating a Task and Resuming After Compaction, plus 5 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Memory Tasks is an agent skill from basicmachines-co/basic-memory. Task management via Basic Memory schemas: create, track, and resume structured tasks that survive context compaction. Uses BM's schema system for uniform notes queryable through the knowledge graph.
Its SKILL.md is about 1.4k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in Knowledge Management, covering Context engineering, Knowledge graphs and Task management. The repository describes itself as: AI conversations that actually remember. Never re-explain your project to your AI again. Join our Discord: https://discord.gg/tyvKNccgqN. The licence is AGPL-3.0.
When your agent uses it
- Tasks that involve Context engineering
- Tasks that involve Knowledge graphs
- Tasks that involve Task management
Example prompts
- “/memory-tasks”
Requirements
- Python 3
Workflow steps
4 steps, taken from the first numbered list in SKILL.md.
- Search for active tasks
- Read the task note to get full context
- Resume from current_step using the context field
- Update as you progress — increment current_step, update context, check off steps
What it can do on your machine
Read from SKILL.md and the folder at commit cb7407f. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
No scripts in the folder and no shell commands in SKILL.md (its code samples are python, yaml and markdown).
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Memory Tasks loads about 1.4k tokens when it runs. Until then it costs about 53 tokens; SKILL.md has 451 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
SKILL.md
The full file from basicmachines-co/basic-memory at commit cb7407f, republished under its AGPL-3.0 licence (© basicmachines-co). 451 words, ~1,432 tokens.
Download SKILL.mdSave it as
.claude/skills/memory-tasks/SKILL.md (or your agent's skills folder).- name
- memory-tasks
- description
- Task management via Basic Memory schemas: create, track, and resume structured tasks that survive context compaction. Uses BM's schema system for uniform notes queryable through the knowledge graph.
Memory Tasks
Manage work-in-progress using Basic Memory's schema system. Tasks are just notes with type: Task — they live in the knowledge graph, validate against a schema, and survive context compaction.
When to Use
- Starting multi-step work (3+ steps, or anything that might outlast the context window)
- After compaction/restart — search for active tasks to resume
- Pre-compaction flush — update all active tasks with current state
- On demand — user asks to create, check, or manage tasks
Task Schema
Tasks use the BM schema system. The schema note lives at schema/Task.md:
---
title: Task
type: schema
entity: Task
version: 1
schema:
description: string, what needs to be done
status?(enum, current state): [active, blocked, done, abandoned]
assigned_to?: string, who is working on this
steps?(array): string, ordered steps to complete
current_step?: integer, which step number we're on (1-indexed)
context?: string, key context needed to resume after memory loss
started?: string, when work began
completed?: string, when work finished
blockers?(array): string, what's preventing progress
parent_task?: Task, parent task if this is a subtask
settings:
validation: warn
---Creating a Task
When work qualifies, create a task note. Use write_note with note_type="Task" and put queryable fields in metadata:
write_note(
title="Descriptive task name",
directory="tasks",
note_type="Task",
metadata={
"status": "active",
"priority": "high",
"assigned_to": "claude",
"current_step": 1,
"steps": ["First step", "Second step", "Third step"]
},
tags=["task"],
content="""# Descriptive task name
## Observations
- [description] What needs to be done, concisely
- [status] active
- [assigned_to] claude
- [current_step] 1
## Steps
1. [ ] First concrete step
2. [ ] Second concrete step
3. [ ] Third concrete step
## Context
What future-you needs to pick up this work. Include:
- Key file paths and repos involved
- Decisions already made and why
- What was tried and what worked/didn't
- Where to look for related context"""
)Why both frontmatter and observations? Fields in metadata (stored as frontmatter) power search_notes with metadata_filters. Fields as observations (- [status] active) power schema_validate. Include queryable fields in both places for full coverage.
Key Principles
- Steps are concrete and checkable — "Implement X in file Y", not "figure out stuff"
- Context is for post-amnesia resumption — Write it as if explaining to a smart person who knows nothing about what you've been doing
- Relations link to other entities —
parent_task [[Other Task]],related_to [[Some Note]] - Note types are normalized to snake_case —
write_note(note_type="Task")storestype: task, andnote_types=["Task"]ornote_types=["task"]both match it.
Resuming After Compaction
On session start or after compaction:
Search for active tasks:
python search_notes(note_types=["task"], status="active")Read the task note to get full context
Resume from
current_stepusing thecontextfieldUpdate as you progress — increment
current_step, update context, check off steps
Updating Tasks
As work progresses, update the task note:
## Steps
1. [x] First step — done, resulted in X
2. [x] Second step — done, changed approach because Y
3. [ ] Third step — next up
## Context
Updated context reflecting current state...Update frontmatter too, with the metadata parameter (empty content leaves the body alone):
edit_note(
identifier="tasks/descriptive-task-name",
operation="append",
content="",
metadata={"current_step": 3}
)Show full SKILL.md (182 more words)Show less
Completing Tasks
When done:
status: done
completed: YYYY-MM-DDAdd a brief summary of what was accomplished and any follow-up needed.
Pre-Compaction Flush
When a compaction event is imminent:
- Find all active tasks:
search_notes(note_types=["task"], status="active") - For each, update:
current_stepto reflect actual progresscontextwith everything needed to resume- Step checkboxes to show what's done
- Context that isn't written down is lost at compaction
Querying Tasks
With BM's schema system, tasks are fully queryable:
| Query | What it finds |
|---|---|
search_notes(note_types=["task"]) | All tasks |
search_notes(note_types=["task"], status="active") | Active tasks |
search_notes(note_types=["task"], status="blocked") | Blocked tasks |
search_notes(note_types=["task"], metadata_filters={"assigned_to": "claude"}) | My tasks |
search_notes("blockers", note_types=["task"]) | Tasks with blockers |
schema_validate(note_type="Task") | Validate all tasks against schema |
schema_diff(note_type="Task") | Detect drift between schema and actual task notes |
Guidelines
- One task per unit of work — Don't cram multiple projects into one task
- Externalize early — write things down when you notice them
- Context > steps — Steps tell you what to do; context tells you why and how
- Close finished tasks — Don't leave completed work as
active - Link related tasks — Use
parent_task [[X]]or relations to connect related work - Schema validation is your friend — Run
schema_validate(note_type="Task")periodically to catch incomplete tasks
© basicmachines-co, AGPL-3.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
Just SKILL.md in skills/memory-tasks of basicmachines-co/basic-memory.
Open the folder on GitHubat commit cb7407f
Used in 1 other repository
We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in basicmachines-co/basic-memory, which our catalogue first saw on October 7, 2026.
Compare with similar skills
Memory Tasks next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Memory Tasks this skillbasicmachines-co/basic-memory | 4.1k | 1 repos | ~1.4k | Automated safety check: Pass | AGPL-3.0 | |
| Ontology1mancompany/OneManCompany | 440 | 2 repos | ~1.5k | Automated safety check: Pass | Apache-2.0 | |
| Td Task Managementmarcus/td | 251 | — | ~2k | Automated safety check: Pass | MIT | |
| KapsoLeeroo-AI/kapso | 120 | — | ~3.6k | Automated safety check: Notes | MIT | |
| DreamingSignet-AI/signetai | 304 | — | ~2.9k | Automated safety check: Pass | Custom licence | |
| Lat Md Knowledge Graphstevesolun/ctx | 588 | — | ~466 | Automated safety check: Pass | MIT |
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Td Task Management
marcus/td
Task management for AI agents across context windows. An agent skill from marcus/td.
Kapso
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Operate Kapso (PyPI leeroo-kapso), the long-running agents that optimize AI and Data systems, from a coding session — verify the install with kapso doctor, launch and follow an evolve campaign…
Dreaming
Signet-AI/signetai
Maintain Signet's living ontology and memory substrate from transcripts, memory artifacts, source artifacts, notes, summaries, and imported records.
Lat Md Knowledge Graph
stevesolun/ctx
Design or audit a repo-local markdown knowledge graph with wiki links, source-code backlinks, drift checks, and searchable sections.
Oce Field Ops
datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction
Field operations in OpenConstructionERP: punch list, daily diary, HSE observations and task tracking on site.
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Related
Questions about Memory Tasks
What does Memory Tasks do?
Task management via Basic Memory schemas: create, track, and resume structured tasks that survive context compaction. Memory Tasks is an agent skill from basicmachines-co/basic-memory. Task management via Basic Memory schemas: create, track, and resume structured tasks that survive context compaction.
When should I use Memory Tasks?
Memory Tasks fits situations like: tasks that involve Context engineering; tasks that involve Knowledge graphs; tasks that involve Task management.
How do I install Memory Tasks in Claude Code?
Run `npx skills add basicmachines-co/basic-memory --skill memory-tasks -a claude-code`. Or copy the skill folder (skills/memory-tasks in basicmachines-co/basic-memory) into .claude/skills/memory-tasks in your project. Claude Code loads it when a task matches its description.
How do I install Memory Tasks in Codex?
Run `npx skills add basicmachines-co/basic-memory --skill memory-tasks -a codex`. Or copy the skill folder (skills/memory-tasks in basicmachines-co/basic-memory) into .agents/skills/memory-tasks in your project. Codex loads it when a task matches its description.
Can I use Memory Tasks in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add basicmachines-co/basic-memory --skill memory-tasks -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/memory-tasks, .gemini/skills/memory-tasks, .github/skills/memory-tasks and .opencode/skills/memory-tasks in your project.
What does Memory Tasks need to run?
SKILL.md names no scripts, command-line tools or credentials: Memory Tasks is instructions for the agent only. Our summary lists: Python 3.
Does Memory Tasks access the network?
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Is Memory Tasks safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
What licence does Memory Tasks use?
Memory Tasks is published under the AGPL-3.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Memory Tasks use?
About 1.4k tokens (SKILL.md is roughly 5.7k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Memory Tasks?
Skills that share tags, products or a category with Memory Tasks: Ontology (1mancompany/OneManCompany, 440 stars), Td Task Management (marcus/td, 251 stars), Kapso (Leeroo-AI/kapso, 120 stars) and Dreaming (Signet-AI/signetai, 304 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Memory Tasks?
basicmachines-co (a GitHub organization) maintains it in basicmachines-co/basic-memory, which has 4,115 GitHub stars. The repository holds 49 skills in this directory. The repository was last updated on October 7, 2026.
Source: basicmachines-co/basic-memory on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.