parallel-memory — Claude Code skill: recall past Parallel runs
A skill that pulls past Parallel Task, Monitor and FindAll runs out of memory when they can help, and removes them on request.
npx skills add parallel-web/parallel-agent-skills --skill parallel-memory -a claude-codeWhat parallel-memory does
The skill drives parallel-cli memory and covers three operations: retrieve, evict and clear. Retrieve searches past runs with a short semantic query, or just returns recent ones. Evict drops a single saved source by exact kind and id. Clear wipes every entry in your personal memory. None of these delete the underlying Parallel runs — only the memory record goes away.
You need parallel-cli 0.8.1 or newer plus internet access. If parallel-cli memory --help fails with something like no such command, update the CLI and retry. Memory can be ineligible for several reasons: rollout stage, organization settings, account opt-in, key eligibility. The CLI reports which one it is, and on a key-eligibility error the skill tells you to reauthenticate.
Retrieve returns excerpts, not full records. When exact output, entities, citations or provenance matter, the skill fetches the original run instead. Fresh data is a separate matter: Parallel runs do not consult Memory, so anything useful from a recall has to be pasted into the new run's input. Ingestion is asynchronous, so a run that just finished may not be retrievable yet. Before clearing, the skill asks for confirmation unless you already requested it.
What it helps with
- find an earlier Parallel run on a topic
- list recent runs without a search query
- remove one saved Task, Monitor or FindAll source
- wipe all entries from personal memory
- separate recalled details from fresh verification
Example prompts for the agent
- find past runs about serverless inference vendors in memory
- show my last 5 memory entries
- evict the run with id trun_example from memory
How to install parallel-memory
1Skills CLI (Vercel)
npx skills add parallel-web/parallel-agent-skills --skill parallel-memory -a claude-code2Manually: put the files in place
~/.claude/skills/parallel-memory/SKILL.mdCopy the whole skill folder; for one project use .claude/skills/parallel-memory/
1Skills CLI (Vercel)
npx skills add parallel-web/parallel-agent-skills --skill parallel-memory -a codex2Manually: put the files in place
.agents/skills/parallel-memory/SKILL.mdFor all projects use ~/.agents/skills/
1Skills CLI (Vercel)
npx skills add parallel-web/parallel-agent-skills --skill parallel-memory -a cursor2Manually: put the files in place
.cursor/skills/parallel-memory/SKILL.mdCursor also reads .agents/skills/ and .claude/skills/
1GitHub CLI
gh skill install parallel-web/parallel-agent-skills parallel-memory2Manually: put the files in place
.github/skills/parallel-memory/SKILL.md1Skills CLI (Vercel)
npx skills add parallel-web/parallel-agent-skills --skill parallel-memory -a gemini-cli2Platform CLI
gemini skills install https://github.com/parallel-web/parallel-agent-skills --path skills/parallel-memoryManually: put the files in place
.devin/skills/parallel-memory/SKILL.mdThe legacy .windsurf/skills/ path still works
Skills CLI (Vercel)
npx skills add parallel-web/parallel-agent-skills --skill parallel-memory -a opencodeClaude.ai
Zip the folder and upload it in Settings → Capabilities → Skills
Step by step, with commands for each platform: How to install skills in Claude Code: five ways
Questions about parallel-memory
How do I install parallel-memory in Claude?
Run npx skills add parallel-web/parallel-agent-skills --skill parallel-memory -a claude-code. The skill lands at ~/.claude/skills/parallel-memory/SKILL.md.
What does parallel-memory do?
It recalls past Parallel Task, Monitor and FindAll runs when they may help with the current request, and removes or clears memory entries when asked.
What does parallel-memory require?
parallel-cli 0.8.1 or newer and internet access. On an older version parallel-cli memory will not work, so update the CLI first.
Source text
SKILL.md · MIT
--- name: parallel-memory description: "Recall past Parallel Task, Monitor, and FindAll runs when they may help; evict runs or clear memory when asked." user-invocable: true argument-hint: <retrieve|evict|clear> [args] compatibility: Requires parallel-cli >=0.8.1 and internet access. allowed-tools: Bash(parallel-cli:*) metadata: author: parallel --- # Parallel Memory Action: $ARGUMENTS > Requires `parallel-cli >=0.8.1`. If the installed version is older, or `parallel-cli memory --help` fails with `no such command` or similar, tell the user to update `parallel-cli`, then retry. ## When to use - Inspect memory only when prior Parallel work may help fulfill the request or the user asks to retrieve, evict, or clear it. - Memory results are excerpts from past runs; fetch the source run for full records, and launch a fresh run when current information is required. ## Choose the operation | User intent | Operation | |---|---| | Recall prior work about a topic | Retrieve with a concise query | | Show recent past runs | Retrieve without `query` | | Remove one saved Task, Monitor, or FindAll source | Evict by exact `kind` and `id` | | Permanently remove all entries from your personal Memory | Clear memory | | Turn memory off | Direct the user to account settings; do not clear as a substitute | ## Use the CLI Use `parallel-cli memory` for retrieve, evict, and clear operations. - If memory is not eligible, report the returned reason; it distinguishes rollout, organization settings, account opt-in, and key eligibility. - On a key-eligibility error, tell the user to reauthenticate. ## Retrieve memory Form a short semantic query that describes the prior work to find. Apply filters when they help. Empty `results` is a successful retrieval with no matches, not an error. - Set `kind` to `task`, `monitor`, or `findall` when it clearly narrows the retrieval. - Set `since` for an explicit timestamp boundary (RFC 3339, e.g. `2026-08-01T00:00:00Z`). - Omit `query` when retrieving recent memories rather than a topic. Retrieve by query: ```bash parallel-cli memory retrieve \ --query "serverless inference vendors" ``` For recent memories: ```bash parallel-cli memory retrieve \ --limit 5 ``` ## Use results Available fields vary by `kind`: - `task`: use `id`, `updated_at`, `input_excerpt`, and `output_excerpt`. - `monitor`: use the monitor `id`, status, query excerpt, and matching event IDs, timestamps, and excerpts. - `findall`: use `id`, `updated_at`, objective excerpt, and `matched_count`. - Fetch the original Task result, Monitor events, or FindAll result when exact output, entities, citations, or provenance matter. - Summarize the useful findings and unresolved questions. - Lead with what the prior work established, then list the contributing saved runs with kind, ID, and timestamp. - Distinguish recalled information from any fresh verification. - Parallel runs do not consult Memory. If recalled information may be useful, include the relevant details in the new run's input. Expect ingestion to be asynchronous. Do not promise that a newly completed run will be immediately retrievable. ## Evict or clear memory Evict a single run from your personal Memory, or clear it entirely. These do not delete the underlying Parallel runs. Ask for confirmation before clearing unless the user already asked for it. ```bash parallel-cli memory evict \ --kind task \ --id "trun_example" ``` ```bash parallel-cli memory clear \ --confirm-clear ```
© parallel · MIT · parallel-web/parallel-agent-skills