Borrowing it
Nothing to install: this file belongs to a3ro-dev/hybridmind. 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/a3ro-dev/hybridmind/main/AGENTS.mdgit clone --depth 1 https://github.com/a3ro-dev/hybridmindWrote 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/a3ro-dev/hybridmind/agents-md)<a href="https://agentmods.dev/instructions/a3ro-dev/hybridmind/agents-md"><img src="https://agentmods.dev/badge/instructions/a3ro-dev/hybridmind/agents-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/a3ro-dev/hybridmind/agents-md"><img src="https://agentmods.dev/badge/instructions/a3ro-dev/hybridmind/agents-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 | $0.03005 | $0.03005 |
| Opus 5.5 | $0.01202 | $0.01202 |
| Sonnet 5.5 | $0.00601 | $0.00601 |
| Haiku 4.5 | $0.00300 | $0.00300 |
Grade A, and why
hybridmind AGENTS.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 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.
How it starts
The opening of the file, as written. The whole thing — 188 lines — stays where its author put it; the contents beside it link to each section on GitHub.
HybridMind — agent entry point
Updated: September 2026. Read top to bottom before changing anything; it is
short on purpose. README.md is the human-facing front door; this file is
the working contract for anyone editing the code.
What this is
HybridMind is a local dense + sparse + graph retrieval service for AI-memory experiments: FastAPI over an authoritative SQLite store, with FAISS HNSW, BM25/BM25S, and NetworkX indexes derived from it. It is built to show what it retrieved, why, and whether that evidence helped.
It is not a transformer KV-cache replacement and not a validated
10M–100M-token context system. Those are preregistered research targets
governed by docs/RETRIEVAL_RESEARCH_PROTOCOL.md. Do not let claims drift:
the honest-status table is PHASE_IMPLEMENTATION_STATUS.md, and the research
evidence ledger is docs/research/design-space-experiment-program.md.
Cold start
.\.venv\Scripts\Activate.ps1 # .venv only, never system Python
pip install -r requirements.txt # pnpm only inside memorybench/
pytest tests/ -q # full offline suite (~400 tests, zero provider calls)
python -m compileall -q main.py config.py api engine storage models cli sdk mcp_server scripts benchmarks tests verify
- The offline suite makes zero provider calls. If your change needs one, see rule 5 below first.
make test/make compilewrap the same checks (make verifyruns the legacy opt-in suite separately).- API:
python -m uvicorn main:app --host 127.0.0.1 --port 8000. Startup does not wake remote providers by default. - Arriving mid-stream? Read
docs/CURRENT_STATE.md(and update it when you finish; see Covenants).
Load-bearing map (do not break casually)
| Path | Role | Breakage radius |
|---|---|---|
config.py |
Single configuration source of truth | Every subsystem reads it; add fields here, never raw os.getenv |
storage/sqlite_store.py |
Authoritative store (SQLite/WAL), bitemporal fields | Schema/write-path changes need migration thinking |
storage/vector_index.py, bm25_index.py, graph_index.py |
Derived rebuildable indexes | Must stay rebuildable-from-SQLite; never authoritative |
storage/mindfile.py |
.mind snapshot publish/restore validation |
Security-sensitive path/checksum/semantic gates |
engine/hybrid_ranker.py |
Candidate generation, temporal filtering, RRF fusion, optional rerank stages | Retrieval semantics + measured numbers depend on exact behavior |
engine/fusion.py |
RRF (k=60, weight validation) plus DBSF, z-score and min-max linear fusion |
Fusion contract |
engine/trisignal.py + api/retrieve.py |
POST /retrieve: independent dense/sparse/graph channels over scope-local corpora, fusion, fixed-pool rerank, evidence packing |
Tri-signal semantics + measured ablations; channel independence is a contract |
engine/entity_graph.py, engine/entity_extraction.py |
EMG entity-memory graph (exact upstream parity) and HippoRAG-2 PPR; lexical/LLM entity extraction | Graph channel; port parity test tests/test_emg_port_parity.py |
eval_trisignal.py, benchmarks/conversational_*.py |
Engine-driven LoCoMo/LongMemEval-S ablations, official metrics, ledgers | Current valid retrieval numbers |
engine/embedding.py, provider_policy.py |
Remote-only native 4096-d embeddings; endpoint-bound keys | Fail-closed contract, rule 3/4 |
engine/llm_client.py (+ llm.py, runpod_llm.py) |
Centralized LLM policy chain | Provider routing/spend discipline |
main.py + api/*.py |
App assembly, security middleware, routers | Auth/rate/limit logic lives in main.py ASGI middleware |
eval_ledger.py, eval_common.py, eval_stats.py, eval_*.py |
Evaluation ledgers, prompts, statistics | Recorded numbers must stay interpretable/comparable |
scripts/preflight.py |
Default-deny live-provider admission gate | Spend safety |
memorybench/src/providers/hybridmind/index.ts |
Benchmark harness provider (gitignored tree; these two files tracked) | Contract test: experiments/harnesses/memorybench_provider_contract.test.ts |
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 Changed · +9 lines · +364 tokens per session a434caeb6d88
- 2mo ago First seen · 179 lines · 2,641 tokens per session scan A 764f81b403b1
hybridmind AGENTS.md is an instructions file published in the GitHub repository a3ro-dev/hybridmind (5 stars, last pushed 1mo ago), licensed MIT. It adds 3,005 tokens to every session, about $0.0120 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.
hybridmind AGENTS.md compared with instructions from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| hybridmind AGENTS.mda3ro-dev/hybridmind | Instructions file | 5 | 1mo ago | MIT | A | 3,005 | Codex, OpenCode |
| 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 |