Borrowing it
Nothing to install: this file belongs to harsh5i/flux-memory. 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/harsh5i/flux-memory/master/CLAUDE.mdgit clone --depth 1 https://github.com/harsh5i/flux-memoryWrote 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/instructions/harsh5i/flux-memory/claude-md)<a href="https://agentmods.dev/instructions/harsh5i/flux-memory/claude-md"><img src="https://agentmods.dev/badge/instructions/harsh5i/flux-memory/claude-md/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/instructions/harsh5i/flux-memory/claude-md"><img src="https://agentmods.dev/badge/instructions/harsh5i/flux-memory/claude-md.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 | $0.00682 | $0.00682 |
| Opus 5.5 | $0.00273 | $0.00273 |
| Sonnet 5.5 | $0.00136 | $0.00136 |
| Haiku 4.5 | $0.00068 | $0.00068 |
Grade A, and why
flux-memory CLAUDE.md 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 — 57 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Flux Memory v0.5 — CLAUDE.md
Spec: docs/flux-memory-docs.md
Checkpoint log: keep local checkpoint files outside this repository.
Hard constraints (never deviate)
- Python 3.10+, SQLite 3.35+ with WAL mode
networkx.community.louvain_communitiesfor clustering — NOT python-louvain- Lazy decay only (effective_weight computed at read time from last_used)
- MAX_EDGES_PER_GRAIN cap with weakest-edge eviction
- Every grain has provenance: user_stated / ai_stated / ai_inferred / external_source
- Admin channel gatekeeper protocol (§7.6): confirmation token, rate limiting, audit log, 24h purge undo window. Not exposed via MCP. (Password/TOTP gating removed by owner decision 2026-06-11 — confirmation token remains.)
- Soft cluster membership with touch-weight accumulator and split/merge remapping (§13.2). NOT disjoint.
- Multi-signal feedback with provenance multipliers (§7.1). NOT single boolean.
- Health Monitor is first-class — build alongside the engine, not after.
Repo layout
src/flux/
__init__.py public API
config.py all parameters (Section 5)
graph.py data classes
storage.py SQLite access layer
propagation.py signal propagation + lazy decay
reinforcement.py reinforce + penalize + shortcuts
decay.py cleanup_pass + expiry_pass
clustering.py Louvain soft clustering
promotion.py grain promotion
[health.py] Health Monitor (Track 3)
[extraction.py] grain extractor LLM (Track 2)
[retrieval.py] high-level flux_retrieve surface (Track 4)
[admin.py] admin channel (Track 4)
tests/
conftest.py
test_config.py
test_schema.py
test_storage.py
test_propagation.py
test_reinforcement.py
test_decay.py
test_clustering.py
test_promotion.py
Development rules
- One algorithm at a time, with pytest tests before moving on.
- Commit at each Track 1 step boundary with message:
Track 1 step N: description (§X.Y) - Spec unclear? STOP and note the question. Do not silently improvise.
- Internal helpers not in the spec: implement simplest version consistent with usage and note the choice.
- Structured JSON logging (§11.5).
- All parameters from config.py — none hardcoded.
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 · 57 lines · 682 tokens per session scan A cee333707704
flux-memory CLAUDE.md is an instructions file published in the GitHub repository harsh5i/flux-memory (4 stars, last pushed 4mo ago), licensed MIT. It adds 682 tokens to every session, about $0.0027 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.
flux-memory CLAUDE.md compared with instructions from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| flux-memory CLAUDE.mdharsh5i/flux-memory | Instructions file | 4 | 4mo ago | MIT | A | 682 | Claude Code |
| vscode buildNext.instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 9,719 | GitHub Copilot |
| next.js AGENTS.mdvercel/next.js | Instructions file | 143k | yesterday | MIT | A | 7,461 | Codex, OpenCode |
| langchain AGENTS.mdlangchain-ai/langchain | Instructions file | 149k | yesterday | MIT | A | 4,680 | Codex, OpenCode |
| vscode oss-third-party-notices.instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 5,516 | GitHub Copilot |
| vscode copilot-instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 3,093 | GitHub Copilot |
| deepseek-harness AGENTS.mddeepseek-ai/deepseek-harness | Instructions file | 274k | 2d ago | MIT | A | 4,313 | Codex, OpenCode |