clawmem-bf AGENTS.md

clawmem-bf AGENTS.md is an instructions file for Codex, OpenCode from BFLabsAI/clawmem-bf. It costs 4,690 tokens per session, scanned B, original, MIT.

A quick-reference instruction file for ClawMem, an on-device memory system for Claude Code, OpenClaw, and Hermes agents. It explains installation, automatic context injection, targeted memory recall, and its local inference services.

In plain words
What is it for?
Use it when setting up or operating ClawMem, choosing its local model stack, or retrieving memory during coding-agent work.
Why use it?
It gives an agent the essential operating rules in one place while linking to deeper documentation elsewhere in the project.

Instructions file for CodexOpenCode

Install

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.

agentmods
npx agentmods add instructions/bflabsai/clawmem-bf/agents-md
Clone the repo
git clone --depth 1 https://github.com/BFLabsAI/clawmem-bf

Made for: Codex, OpenCode.

Wrote 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.

agentmods badge for clawmem-bf AGENTS.md

README.md
[![agentmods](https://agentmods.dev/badge/instructions/bflabsai/clawmem-bf/agents-md.svg)](https://agentmods.dev/instructions/bflabsai/clawmem-bf/agents-md)
Your own site
<a href="https://agentmods.dev/instructions/bflabsai/clawmem-bf/agents-md"><img src="https://agentmods.dev/badge/instructions/bflabsai/clawmem-bf/agents-md.svg" alt="Measured on agentmods" height="20"></a>
Per session 4,690 This file is loaded in full into every session.
When invoked 4,690 The same file — it is already loaded in full.
Security scan B 1 finding. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5 $0.04690 $0.04690
Opus 5 $0.02345 $0.02345
Sonnet 5 $0.00938 $0.00938
Haiku 4.5 $0.00469 $0.00469

Measured 2d ago against content hash 132ff6d3422b, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade B, and why

clawmem-bf AGENTS.md scanned grade B 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 2d 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.

Reads agent configuration directoriesmediumAgent snooping

.claude/, .codex/, .gemini/ hold keys, settings and other credentials a mod has no legitimate need for.

- **Intermittent `UserPromptSubmit hook timed out after 8s — output discarded`** → almost always the context-surfacing hook's **cold-start** (fresh Bun process + opening a large `index.sqlite` + cold OS page cache), NOT
AGENTS.md · 239 lines

How it starts

The opening of the file, as written. The whole thing — 239 lines — stays where its author put it; the contents beside it link to each section on GitHub.

ClawMem — Agent Quick Reference

On-device retrieval-augmented memory for Claude Code, OpenClaw, and Hermes agents. Hooks auto-inject context (~90%); MCP tools cover targeted recall (~10%). TypeScript on Bun, MIT.

This file is the lean root SSOT — agent-facing essentials only. Deep reference lives in docs/ (linked throughout, indexed at the bottom). CLAUDE.md is an @AGENTS.md import; SKILL.md is the portable on-demand operating reference.


Inference at a glance

Three services — embedding, LLM (query expansion / intent / A-MEM), reranker. Default: all three as llama-server with an in-process node-llama-cpp fallback that auto-downloads on first use (works with no GPU). The bin/clawmem wrapper points at localhost:8088/8089/8090. Always run via bin/clawmem — it sets the endpoints.

Choose a stack:

  • native (default) — EmbeddingGemma-300M + qmd-query-expansion-1.7B + qwen3-reranker-0.6B · ~4 GB or in-process · permissive, commercial OK · zero-config.
  • z / SOTA — zembed-1 + qmd-query-expansion-1.7B + zerank-2 seq-cls sidecar · ~16 GB · CC-BY-NC-4.0, non-commercial only · best recall.
  • cloud embedding — Jina/OpenAI/Voyage/Cohere · embedding only (LLM + reranker stay local) · no local GPU needed.

Landmines:

  • The zerank-2 GGUF is inert — llama.cpp drops the score head → ranking silently collapses to RRF. Use the seq-cls sidecar; verify with clawmem rerank-health (liveness ≠ correctness).
  • -ub must equal -b for embedding/reranking (non-causal attention) or llama-server asserts.
  • Changing embedding dimensions → clawmem embed --force (full re-embed).
  • CLAWMEM_NO_LOCAL_MODELS=true to fail fast instead of silent CPU fallback.

→ Stack decision matrix + server setup: docs/guides/inference-services.md · cloud: docs/guides/cloud-embedding.md · all env vars: docs/reference/configuration.md.

Read the full file on GitHub · 239 lines

Changes

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.

  1. 2d ago First seen · 239 lines · 4,690 tokens per session scan B 132ff6d3422b

Subscribe to this mod's changes

clawmem-bf AGENTS.md is an instructions file published in the GitHub repository BFLabsAI/clawmem-bf (0 stars, last pushed 2mo ago), licensed MIT. It adds 4,690 tokens to every session, about $0.0234 per session on Opus 5. A static security scan graded it B with 1 finding (reads agent configuration directories). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

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