hybridmind: Instructions file for Codex

AGENTS.md

hybridmind AGENTS.md is an instructions file for Codex, OpenCode from a3ro-dev/hybridmind. It costs 3,005 tokens per session, scanned A, original, MIT.

A project instruction file for HybridMind, a local service that combines several search methods over an SQLite database and explains what it retrieved and why. It sets the rules an agent must follow before changing the code.

In plain words
What is it for?
Understanding HybridMind’s architecture, following its cold-start steps, preserving its data indexes, running the offline test suite, and avoiding unsupported research claims.
Why use it?
It gives contributors a reliable starting point and helps prevent changes that conflict with the project’s architecture, research limits, or required checks.

Instructions file for CodexOpenCode

Written for Codex and OpenCode: the file is AGENTS.md. Also seen: mentions AGENTS.md.

This is a3ro-dev/hybridmind's own configuration. It tells Codex and OpenCode how to work on hybridmind itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything hybridmind configures →

Reuse

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.

Copy the file
curl -O https://raw.githubusercontent.com/a3ro-dev/hybridmind/main/AGENTS.md
Clone the repo
git clone --depth 1 https://github.com/a3ro-dev/hybridmind

Made for: Codex, OpenCode.

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When invoked 3,005 The same file — it is already loaded in full.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
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ModelPer sessionOnce 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

Measured 1mo ago against content hash a434caeb6d88, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

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.

AGENTS.md · 188 lines

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 compile wrap the same checks (make verify runs 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

Read the full file on GitHub · 188 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. 1mo ago Changed · +9 lines · +364 tokens per session a434caeb6d88
  2. 2mo ago First seen · 179 lines · 2,641 tokens per session scan A 764f81b403b1

Subscribe to this mod's changes

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.

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