Borrowing it
Nothing to install: this file belongs to TSchonleber/brainctl. 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/TSchonleber/brainctl/main/CLAUDE.mdgit clone --depth 1 https://github.com/TSchonleber/brainctlWrote 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/tschonleber/brainctl/claude-md)<a href="https://agentmods.dev/instructions/tschonleber/brainctl/claude-md"><img src="https://agentmods.dev/badge/instructions/tschonleber/brainctl/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/tschonleber/brainctl/claude-md"><img src="https://agentmods.dev/badge/instructions/tschonleber/brainctl/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 | $0.06298 | $0.06298 |
| Opus 5.5 | $0.02519 | $0.02519 |
| Sonnet 5.5 | $0.01260 | $0.01260 |
| Haiku 4.5 | $0.00630 | $0.00630 |
Grade B, and why
brainctl CLAUDE.md scanned grade B with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 7d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Asks for rootmediumPrivilege escalation
A mod that escalates privileges can change anything on the machine, not only the project.
non-custodial keypair at `~/.brainctl/wallet.json` (chmod 0600). The How it starts
The opening of the file, as written. The whole thing — 440 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Claude Code — brainctl / agentmemory
What This Is
Unified agent memory system. SQLite-backed (brain.db) with FTS5, vector embeddings (sqlite-vec + Ollama nomic-embed-text), knowledge graph, affect tracking, belief collapse mechanics, and AGM conflict resolution.
Published as brainctl on PyPI (v2.2.1+, current 2.9.1).
Key Paths
- DB:
db/brain.db(WAL mode, foreign keys ON, 59 user-facing tables, 84 numbered migrations,002–085with no gaps, plus the unnumbered V2-4 filedb/migrations/quantum_schema_migration_sqlite.sql). The runner only picks up files matching^\d+_.+\.sql$, sobrainctl migratenever applies the quantum file; its quantum columns (confidence_phase,hilbert_projection,coherence_syndrome,decoherence_rate,is_superposed,belief_density_matrix,coherence_score, ...) andbelief_collapse_eventsship ininit_schema.sqlinstead. Slot 050 is050_thalamus.sql. - CLI:
bin/brainctl— main CLI entry - MCP server: the
brainctl-mcpconsole script points atagentmemory.mcp_entrypoint:run, which prints thepip install 'brainctl[mcp]'hint when the MCP extra is missing and otherwise delegates toagentmemory.mcp_server:run(also runnable aspython -m agentmemory.mcp_server). As of v2 surface consolidation (2026-05-20): 100 visible tools (370 registered internally; 270 hidden behind action-discriminated dispatchers). Installed as thebrainctl-mcpconsole script via pip. SeeMCP_SERVER.mdfor the tool reference anddocs/TOOL_MIGRATION_V2.mdfor v1→v2 migration. The legacy standalonebin/brainctl-mcpscript was removed after 2.8.1; use the console script. - Bench:
bin/brainctl-bench— retrieval eval harness (P@k / MRR / nDCG@k regression gate, fixtures undertests/bench/) - Source:
src/agentmemory/— Python package - Config:
config/— quiet hours, consolidation schedules - Agents:
agents/— per-agent config (pipeline, engram, etc.)
Build & Test
pip install -e . # dev install
brainctl stats # verify DB
brainctl search "test" # test search
python3 -m agentmemory.mcp_server --list-tools # 100-tool v2 MCP surface
python3 -m tests.bench.run # retrieval quality benchmark
python3 -m tests.bench.run --check # fail on >2% regression vs baseline
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.
- 7d ago Changed · +4 tokens per session 43449d64f6eb
- 14d ago Changed · +1 lines · +182 tokens per session 766d491055dd
- 2mo ago First seen · 439 lines · 6,112 tokens per session scan B ad0a78853454
brainctl CLAUDE.md is an instructions file published in the GitHub repository TSchonleber/brainctl (78 stars, last pushed 8d ago), licensed MIT. It adds 6,298 tokens to every session, about $0.0252 per session on Opus 5.5. A static security scan graded it B with 1 finding (asks for root). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
brainctl CLAUDE.md compared with instructions from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| brainctl CLAUDE.mdTSchonleber/brainctl | Instructions file | 78 | 8d ago | MIT | B | 6,298 | Claude Code |
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| deepseek-harness AGENTS.mddeepseek-ai/deepseek-harness | Instructions file | 274k | 2d ago | MIT | A | 4,313 | Codex, OpenCode |