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.
npx skills add render-examples/nanobot-render --skill memorygit clone --depth 1 https://github.com/render-examples/nanobot-renderWrote 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/skills/render-examples/nanobot-render/memory)<a href="https://agentmods.dev/skills/render-examples/nanobot-render/memory"><img src="https://agentmods.dev/badge/skills/render-examples/nanobot-render/memory/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/skills/render-examples/nanobot-render/memory"><img src="https://agentmods.dev/badge/skills/render-examples/nanobot-render/memory.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 | $0.00452 |
| Opus 5.5 | $0.00005 | $0.00181 |
| Sonnet 5.5 | $0.00002 | $0.00090 |
| Haiku 4.5 | $0.00001 | $0.00045 |
Grade A, and why
memory 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 1mo 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.
What it actually says
Memory
Structure
SOUL.md— Bot personality and communication style. Managed by Dream. Do NOT edit.USER.md— User profile and preferences. Managed by Dream. Do NOT edit.memory/MEMORY.md— Long-term facts (project context, important events). Managed by Dream. Do NOT edit.memory/history.jsonl— append-only JSONL, not loaded into context. Prefer the built-ingreptool to search it.
Search Past Events
memory/history.jsonl is JSONL format — each line is a JSON object with cursor, timestamp, content.
- For broad searches, start with
grep(..., path="memory", glob="*.jsonl", output_mode="count")or the defaultfiles_with_matchesmode before expanding to full content - Use
output_mode="content"pluscontext_before/context_afterwhen you need the exact matching lines - Use
fixed_strings=truefor literal timestamps or JSON fragments - Use
head_limit/offsetto page through long histories - Use
execonly as a last-resort fallback when the built-in search cannot express what you need
Examples (replace keyword):
grep(pattern="keyword", path="memory/history.jsonl", case_insensitive=true)grep(pattern="2026-04-02 10:00", path="memory/history.jsonl", fixed_strings=true)grep(pattern="keyword", path="memory", glob="*.jsonl", output_mode="count", case_insensitive=true)grep(pattern="oauth|token", path="memory", glob="*.jsonl", output_mode="content", case_insensitive=true)
Important
- Do NOT edit SOUL.md, USER.md, or MEMORY.md. They are automatically managed by Dream.
- If you notice outdated information, it will be corrected when Dream runs next.
- Users can view Dream's activity with the
/dream-logcommand.
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.
- 1mo ago First seen · 37 lines · 12 tokens per session scan A 2421337ad511
memory is a skill published in the GitHub repository render-examples/nanobot-render (5 stars, last pushed 3mo ago), licensed MIT. It adds 12 tokens to every session and 452 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.
Other skills, from other repositories
memory
Split memory system with USER.md for durable personal profile and MEMORY.md for token-budgeted operational context.
ai-skills
Use when building LLM applications, RAG knowledge bases, AI agents, terminal coding agents, multi-model orchestration, plugin-based agent harnesses, or file translation. Index of 14 skills: Dify, LangChain, LlamaIndex, Ollama, Transformers, Hermes Agent, OpenClaw, OpenCode, Pi, DocuTranslate, DeepSeek Harness and more.
capacity-planning
Capacity trend analysis and projections: disk growth rates, resource consumption patterns, and time-to-exhaustion estimates. AUTO-CONSULT when: disk usage exceeds 60%, memory usage is consistently high, user asks about server capacity or growth trends, or during periodic maintenance reviews.
memory
Knowledge base: store and retrieve operational knowledge. AUTO-CONSULT when: resolving an incident (search for similar past incidents first), after fixing a non-trivial issue (save the solution), during capacity reviews (check historical trends), or when user asks about past events.
session-logs
Search and analyze your own session logs (older/parent conversations) using jq.
mem0-vercel-ai-sdk
Mem0 provider for Vercel AI SDK (@mem0/vercel-ai-provider). TRIGGER when: user mentions "vercel ai sdk", "@mem0/vercel-ai-provider", "createMem0", "retrieveMemories", "addMemories", "getMemories", "searchMemories", "mem0 vercel", "AI SDK provider", "AI SDK memory", or is using generateText/streamText with mem0. Also…