Borrowing it
Nothing to install: this file belongs to lancejames221b/agent-hivemind. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/lancejames221b/agent-hivemind/master/.claude/commands/recall.mdgit clone --depth 1 https://github.com/lancejames221b/agent-hivemindWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/commands/lancejames221b/agent-hivemind/recall)<a href="https://agentmods.dev/commands/lancejames221b/agent-hivemind/recall"><img src="https://agentmods.dev/badge/commands/lancejames221b/agent-hivemind/recall/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/commands/lancejames221b/agent-hivemind/recall"><img src="https://agentmods.dev/badge/commands/lancejames221b/agent-hivemind/recall.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00012 | $0.02270 |
| Opus 5.5 | $0.00005 | $0.00908 |
| Sonnet 5.5 | $0.00002 | $0.00454 |
| Haiku 4.5 | $0.00001 | $0.00227 |
Grade A, and why
recall scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 277 lines — stays where its author put it; the contents beside it link to each section on GitHub.
recall - Memory Retrieval
Purpose
Search and retrieve stored memories from the hAIveMind collective knowledge base using advanced semantic and text-based search capabilities.
When to Use
- Historical Research: Find past incidents, solutions, or decisions
- Learning from Experience: Discover how similar problems were solved
- Context Gathering: Get background before starting new tasks
- Documentation Lookup: Find stored procedures, configs, or guides
- Pattern Recognition: Identify recurring issues or successful approaches
- Knowledge Discovery: Explore collective expertise on topics
Syntax
recall "search query" [category] [options]
Parameters
- search query (required): What to search for (can be natural language)
- category (optional): Narrow search to specific types
infrastructure,incidents,security,deployments,monitoring,runbooks
- options (optional):
--recent=hours: Limit to memories from last N hours--limit=N: Maximum results to return (default: 10)--machine=name: Search memories from specific machine--detailed: Include full memory content in results--timeline: Sort results chronologically
Search Capabilities
Semantic Search
- Understands context and meaning, not just keywords
- Finds conceptually related information
- Works with natural language queries
- Excellent for exploratory research
Full-Text Search
- Exact phrase matching with quotes: "error 502"
- Boolean operators: elasticsearch AND performance
- Wildcard matching: mysql*
- Technical term precision
Hybrid Intelligence
- Combines semantic understanding with precise text matching
- Ranks results by relevance and recency
- Filters duplicate or near-duplicate memories
- Provides confidence scores
Real-World Examples
Incident Investigation
recall "database connection timeout errors" incidents --recent=168
Result: Recent database connectivity issues, solutions, and patterns
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 2mo ago First seen · 277 lines · 0 tokens per session scan A d0c9d3e598a7
recall is a command published in the GitHub repository lancejames221b/agent-hivemind (7 stars, last pushed 3mo ago), licensed MIT. It adds 12 tokens to every session and 2,270 once invoked, about $0.0000 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
recall compared with commands from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| recalllancejames221b/agent-hivemind | Command | 7 | 3mo ago | MIT | A | 12 | Claude Code |
| minutes-ideassilverstein/minutes | Command | 1.6k | yesterday | MIT | A | 48 | Claude Code, OpenCode |
| learnReflexioAI/claude-smart | Command | 791 | 3d ago | Apache-2.0 | A | 14 | Claude Code |
| memory-storeverygoodplugins/mcp-automem | Command | 66 | yesterday | MIT | A | 10 | Claude Code |
| analyze-contextRohiRIK/OpenLtm | Command | 29 | 8d ago | MIT | A | 39 | Claude Code |
| cc-memoryTheLobbi/claude | Command | 21 | 7d ago | MIT | A | 0 | Claude Code |
| lians-recallLians-ai/Lians | Command | 17 | 5d ago | Apache-2.0 | A | 19 | Claude Code |