Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
git clone --depth 1 https://github.com/botzrDev/dreamdWrote 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/rules/botzrdev/dreamd/dreamd-recall)<a href="https://agentmods.dev/rules/botzrdev/dreamd/dreamd-recall"><img src="https://agentmods.dev/badge/rules/botzrdev/dreamd/dreamd-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/rules/botzrdev/dreamd/dreamd-recall"><img src="https://agentmods.dev/badge/rules/botzrdev/dreamd/dreamd-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 | $0.00054 | $0.00467 |
| Opus 5.5 | $0.00022 | $0.00187 |
| Sonnet 5.5 | $0.00011 | $0.00093 |
| Haiku 4.5 | $0.00005 | $0.00047 |
Grade A, and why
dreamd-recall scanned grade A with 1 finding 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 16d 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
curl --unix-socket ~/.agent/dreamd.sock \ What it actually says
When to use
Use search_nodes (MCP) when:
- Starting a new task in a project you have worked in before
- The user references a past decision or problem
- You are about to make a choice that has a documented prior
How to log a learning
When you discover something worth remembering, call append_node with:
skill_action:::-separated key — always language-first, e.g.rust::error_handling,rust::api_design,rust::clippy::<lint_name>source_harness:"cursor"(required — omitting causes a deserialization error)pain: 0–10 (friction caused)importance: 0–10 (how often this pattern recurs)content: one clear sentence of what was learnedclient_dedup_key(optional): first 60 chars of content, lowercased, spaces → underscores
Session activation
At session start, call search_nodes with the current task description as the query (preferred — works with or without the daemon).
If the daemon is running and you need user preferences from personal/, you may call GET /api/v1/preferences over the Unix socket with the required X-Agent-Root header:
curl --unix-socket ~/.agent/dreamd.sock \
-H "X-Agent-Root: /absolute/path/to/your-project" \
http://localhost/api/v1/preferences
Read the body field. If non-empty, use it to calibrate pain and importance values. If the daemon is not running, skip silently.
MCP protocol note
After initialize, send notifications/initialized before calling any tools, as the MCP lifecycle requires. Cursor's MCP client does this for you; it only matters when driving dreamd mcp by hand.
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.
- 16d ago Changed 9ec694a0c16f
- 1mo ago First seen · 36 lines · 54 tokens per session scan A 3960451bd873
dreamd-recall is a cursor rule published in the GitHub repository botzrDev/dreamd (5 stars, last pushed 11d ago), licensed Apache-2.0. It adds 54 tokens to every session and 467 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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