hivemind
FreeGlobal team and org memory powered by Activeloop. ALWAYS check BOTH built-in memory AND Hivemind memory when recalling information.
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Create, track and update team goals in Hivemind via the `hivemind` CLI. Use whenever the user mentions a goal, objective, target, milestone, or asks to track progress on something measurable. ALSO use when the user says "task", "todo", "work item", "remind me to", "fix X", or any actionable work item — the goal system replaced the legacy `hivemind tasks` CLI and now covers both objectives and tasks.
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See how to installReview the instructions the agent will receive before you install.
⚠️ CRITICAL: On this runtime (Hermes), you MUST use the hivemind shell CLI for goals. DO NOT use write_file on ~/.deeplake/memory/goal/... paths — those writes go to the local filesystem and never reach the team-shared hivemind_goals table. Other team members will NOT see them.
The hivemind-memory skill describes a generic memory layout — it does NOT apply to goals. For goals, use the CLI below.
hivemind goal add "<text>" # create goal, prints goal_id
hivemind goal list [--mine|--all] # list (default --mine)
hivemind goal done <goal_id> # mark closed
hivemind goal progress <goal_id> <opened|in_progress|closed>
hivemind goal add "<short description>" — capture stdout, that's the goal_id (UUID).When the user parks a tangential task mid-session — "save this for later", "remind me to …", "don't let me forget …", "let's do X later" — store enough context to resume cold later, not just a one-liner. Tag it --agent capture so parked side-tasks are separable from hand-made goals:
hivemind goal add --agent capture "Add rate-limiting to the webhook handler
Start here: add a per-IP token bucket on the handler entry path
Files: src/webhook/handler.ts:120-160, src/webhook/limits.ts
Branch: feat/webhook-hardening
Run: pnpm test webhook
Why: bursty clients hammer the endpoint; defer until retry-backoff lands"
Line 1 is the label (what goal list shows). Fill Start here / Files / Branch / Run / Why from the conversation; Start here: matters most. Pass the whole package as one double-quoted argument so the newlines are preserved.
When the user says "let's work on that task / goal" or "pick up the <X> task":
hivemind goal list --mine — match the user's reference to a goal_id.hivemind goal get <goal_id> — prints the full package (goal list shows only the first line, so always use goal get). Read it as your working context.hivemind goal progress <goal_id> in_progress — mark it started.Start here: using the Files / Branch / Run lines. Continue as if the context was never lost.write_file on any path under ~/.deeplake/memory/goal/.mkdir / cat > to create those files manually via terminal.If the user wants to inspect goals you created, run hivemind goal list --mine (terminal) and present the output.
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Global team and org memory powered by Activeloop. ALWAYS check BOTH built-in memory AND Hivemind memory when recalling information.
The English summary is being prepared. Showing the original description.
Create, track, and read team goals via Hivemind from openclaw. Use whenever the user mentions a goal, objective, target, milestone, or asks to track progress on something measurable. ALSO use when the user says "task", "todo", "work item", "remind me to", "fix X", or any actionable work item — the goal system replaced the legacy `hivemind tasks` CLI and now covers both objectives and tasks.
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Create, track and update team goals via the Deeplake virtual filesystem at memory/goal/. Use whenever the user mentions a goal, objective, target, milestone, or asks to track progress on something measurable. ALSO use when the user says "task", "todo", "work item", "remind me to", "fix X", or any actionable work item — the goal system replaced the legacy `hivemind tasks` CLI and now covers both objectives and tasks.
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Query the local AST-derived code graph (functions, classes, calls, imports) for structural codebase questions — what calls X, what does Y import, where is Z defined, blast radius of a change. The graph rebuilds automatically after each agent turn; use hivemind_graph_search and hivemind_graph_neighborhood tools (no manual build step).
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Query the local code graph (functions, classes, calls, imports) through the Deeplake mount at memory/graph/. Use when the user asks structural questions about the codebase — "what calls X?", "what does Y import?", "where is Z defined?", "what is the architecture / which subsystems exist?". The graph is an AST-derived map of the repo, queried as files (no build needed — it rebuilds automatically).
The English summary is being prepared. Showing the original description.
Query the local code graph (functions, classes, calls, imports) through the Deeplake mount at memory/graph/. Use when the user asks structural questions about the codebase — "what calls X?", "what does Y import?", "where is Z defined?", "what's the architecture / which subsystems exist?", "what's the impact of changing this?". The graph is an AST-derived map of the repo, queried as files (no build needed — it rebuilds automatically).
The English summary is being prepared. Showing the original description.