sentaince 0.1.5

Phase II embodiment of the FreqOS organism — a synthetic immune system (auto-immune interlock).

🌱 SentAInce

A safety reflex and an honest memory for AI coding agents. Local, unobtrusive, free.

Your coding agent is powerful and forgetful, and it will cheerfully run a catastrophic command if a prompt injection asks nicely. SentAInce wraps it in a body: an immune system that physically refuses catalogued lethal actions — even when the model itself is compromised — and a memory that only remembers what actually worked. It runs entirely on your machine, installs in minutes, stays out of your way, and uninstalls with one command. Safety is never for sale.

A SyncQutrit Research Group product (syncqutrit.com) · part of the FreqOS software portfolio (freqos.com).

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Pick your door

You want to…	Start here	Time
🛡️ Protect your agent now	Five minutes to a safer agent	~5 min
💪 Give your agent a memory that earns trust	The one law	2 min read
🔬 See the evidence before you believe anything	The evidence lock	as long as you like

See it work — 30 seconds, no install, no daemon

Watch the safety reflex refuse a prompt-injected lethal command:

Reproduce it yourself from a fresh clone — this is a labeled demonstration, so don't take the GIF's word for it:

python -m pip install -e ".[dev]"
python experiments/exp1_autoimmune.py      # a compromised model proposes a lethal action; the gate refuses
python -m pytest -q tests                  # the full 99-test evidence lock, deterministic

What's new in 0.1.5

The honesty release. If you tried SentAInce before and it seemed to do nothing — that was a bug, and it was ours. Full detail in the changelog.

• 🩹 It was dead on arrival for pip users. Install defaulted to verifying a kernel-lock baseline whose files aren't in the wheel, so every session start exited 1, silently, and memory never woke. Fixed and confirmed in a clean install. If you bounced off this project earlier, this is why.
• ⚡ ~80× faster prompts. The semantic classifier reloaded MiniLM on every prompt (each hook is a fresh process). 10.15 s → 0.125 s. The accuracy option is still there — now actually installable, via pip install sentaince[embed].
• 🗣️ It can finally talk to you. The organism had no channel to the human at all — its one visible event fires about once per 1,100 tool calls, so "working" and "broken" looked identical. Session start now tells you it's alive, and says plainly when it hasn't earned anything yet.
• 🧭 See all your repos at once. python -m exocortex.orient --estate grades every repo on live evidence — git, tests, real mtime, and the drift between what a repo claims and what the disk shows.

Five minutes to a safer agent

Works with Claude Code and Cursor. No account. No telemetry. Nothing leaves your machine.

pip install sentaince
python -m exocortex.deploy install /path/to/your/project

That's it. Your agent's sessions now run through the organism's hooks:

• Watch-only by default. It ships observing and auditing — it changes nothing about your agent's behavior until you opt in to the safety veto. Cautious defaults are a feature, not a limitation.
• Unobtrusive by design. Every hook is fail-open: if anything is slow or wrong, your agent proceeds untouched. The organism never wedges your session — that rule outranks every feature we ship.
• Reversible in one command. python -m exocortex.deploy uninstall /path/to/your/project removes it surgically; your accrued memory is kept unless you --purge. Deleting one config file reverts to dormant defaults.

The full walkthrough — what you'll see in the first session, how the memory starts accruing, the live dashboard — is in docs/QUICKSTART.md. The operator's runbook is docs/DEPLOY_TO_A_PROJECT.md.

Working across more than one repo

Memory is earned per-repo and never crosses between them. But orientation — what a repo is, how current its own claims are — travels. Point it at the folder your projects live in:

python -m exocortex.orient --estate --projects-root /path/to/your/projects

You get every repo side by side with a credibility grade — High / Medium / Low / Unknown — computed at read time from live probes (git, tests, real mtime) and the drift between what a repo declares and what the disk shows. A capsule carries no grade of its own: a repo cannot vouch for itself, which is the whole point. Below High, the rule is re-orient before you act on it.

File-based, stdlib-only, read-only. No database, no daemon, nothing to run. See docs/ORIENTATION_DISCIPLINE.md.

The one law

Most "AI memory" rewards whatever gets retrieved often — popularity as a stand-in for usefulness — which is exactly why a knowledge base bolted onto an LLM rots. SentAInce obeys one law instead:

A memory is earned by a closed action → success (exit 0) chain — never by being read or repeated.

Everything else follows from that rule. The 💪 muscle memory (converged tool-routes for the kinds of tasks you actually do) forms only when work verifiably succeeds. The 📖 notebook holds notes that earn trust the same way. 😴 Sleep (compaction time) prunes what went unused. And the 🛡️ immune system rests on topology, not on the model's judgment — a prompt-injected model can propose anything; the catalogued lethal classes still don't execute.

→ The whole organism in everyday language, with honest numbers: docs/STORY.md.

If you're shopping for… (the metaphor, translated)

The biology is load-bearing, not decoration — but you shouldn't need a xenobiology degree to find the part you came for:

You're looking for	We call it	Where
A guardrail / command firewall that can't be prompt-injected	the somatic gate (immune system)	sentaince/organism/, C1–C7
A token / runaway-loop governor	metabolism & tiers (SATED→HYPOXIA)	exocortex/interocept.py
A success-weighted route cache (memory that can't rot)	the pheromone colony (muscle memory)	exocortex/colony.py
Automatic cache decay / pruning	circadian consolidation (sleep)	PreCompact hook
A knowledge base that only trusts what worked	the declarative wiki (notebook)	exocortex/wiki/
Read-only ChatGPT / OpenAI MCP access to earned memory	the ChatGPT Apps memory adapter	exocortex/chatgpt_mcp.py, docs/CHATGPT_APP.md
Adaptive rate/retention limits	the endocrine organ (ships off — its own gauge said modest)	exocortex/endocrine.py

Full mapping (metaphor → CS reality → code → status): docs/GLOSSARY.md.

Want the live dashboard? Bring up the local monitoring stack (Docker) and open your browser — it lands on the plain-language "SentAInce — The Organism" dashboard:

cd exocortex/testbed/compose && docker compose up -d --build     # then open http://localhost:3000

Where this is going

Today the organism guards and remembers one repo at a time, under Claude Code or Cursor. The arc we're building toward — in the open, each step gated by its own evidence — is bigger:

• One memory discipline across your whole desk: coding, research, and personal knowledge environments sharing the same earned-trust law (cross-repo federation is designed and on the record as PROPOSED — we publish designs before code, and status tags mean what they say).
• A governed organ for agent fleets: the hash-chained audit trail, tamper-evident memory, and policy-bound gates are being shaped to plug into emerging agent-governance frameworks — so a company can adopt agent memory with corporate standards, not despite them.
• A community that measures: this project grew up gauge-first — features earn their place by measurement or they ship dormant. The most useful thing a user can do isn't star the repo; it's run the gauges on their own corpus and tell us what they see.

Everything above is labeled by its real status — SHIPPED, DORMANT, or PROPOSED — in the docs. We'd rather show you the vision with honest gates than a demo with hidden wires.

Community

• Issues & ideas — bug reports and design discussions are answered by the maintainer; open issues get real dispositions, not labels.
• Agents welcome. This repo has merged pull requests authored by coding agents (with credit trailers). If your agent found a bug or wrote a fix, send it — see CONTRIBUTING.md.
• Run the gauge, post the numbers. The memory subsystem carries read-only gauges you can run on your own accrued corpus — one command each. Results (including nulls!) are the contribution this project values most.

The evidence lock — seven experiments (C1–C7)

Every claim in this repo is bounded by docs/CLAIMS.md — the binding ledger nothing may exceed. The core safety claims rest on a falsifiable arc, scoped to a deterministic symbolic harness: every claim is broken by its load-bearing null or it is vacuous, and two of the seven verdicts are intended −1s (boundaries the arc was run to produce), not failed wins.

(Claim boundary, stated plainly: the deterministic evidence lock proves the refusal logic under mock executors — it records intent, not syscalls. Real-body protection is the layered container posture described in SECURITY.md.)

#	Claim	Verdict	Evidence (tests)
C1	Auto-immune interlock — a host-side topological scar refuses a structurally-lethal action a prompt-injected proposer emits; a naive agent given the same proposal executes it and dies.	+1	exp1_autoimmune.py (7)
C2	Hypoxia / metabolic-DDoS — reading its MetabolicLedger, the organism throttles, abstains on unaffordable novel anomalies, and survives a flood that bankrupts a gauge-blind null.	+1	exp2_hypoxia.py (10)
C3	Auto-immune crucible — under a starving ambush the safety scar holds absolute precedence over the metabolic throttle; the brake is energy-independent by construction.	+1	exp3_crucible.py (8)
C4	Adaptive antibody — one witnessed harm scars a structural (effect, target) signature and refuses surface-distinct repeats, while benign work still passes.	+1	exp4_adaptive_antibody.py (11)
C4-R	Adversarial scope of C4 — a hand-specified signature fails three ways (collision, mistype, evasion): a structural parser cannot recover intent.	−1 (intended)	exp4r_adversarial.py (8)
C5	Learned signatures don't recover intent either — no encoder (structural, lexical, semantic) admits a separating threshold on the C4-R corpus.	−1 (intended)	exp5_learned_signature.py (8)
C6	Outcome-conditioned oracle — gating on the sandboxed effect vs a declared invariant resolves the C4→C4-R→C5 walls.	+1	exp6_outcome_oracle.py (9)
C7	Somatic composition crucible — the four organs survive a starving ambush together; two cross-organ gaps located and each closed with a minimal twin-wire.	+1 HOMEOSTASIS	exp7_crucible.py (8)

python experiments/exp1_autoimmune.py           # any experiment runs standalone (+ --json)
python -m pytest -q tests                       # the deterministic suite

The suite is 99 tests: the 69-test C1–C7 evidence lock + 30 domain-crucible / adapter tests. Pure-Python, deterministic (same seed → byte-identical ledger), numpy + pytest only — no Docker, no real syscalls in the lock; the only "execution" is MockExecutor, which records intent. Determinism is deliberate: a real, non-deterministic LLM would break the reproducible −1/+1, so the locked claims use a scripted proposer. See docs/CLAIM_BOUNDARY.md for the binding ledger of what each experiment does and does not claim.

And the live demonstration (labeled, never a substitute for the lock): the same composition in a real Docker container with a real LLM head over a real, disposable body — latest run (llama3:8b, N=100): survival 1.000, 0 lethal slips, 100 distinct episodes. See docs/battle_test/. The organism is additive over, and imports read-only from, the frozen circle_of_fifths_rc2 kernel (lock b0702a3, vendored at vendor/kernel/).

Applications — domain crucibles (separate tier, not in the C1–C7 ledger)

The same locked organs re-skinned onto hostile domain substrates as deterministic, Experiment-1-style contracts (each with a load-bearing null). Built + [phone]): manufacturing, scada, soc, spacecraft (experiments/*_crucible.py, 6 tests each). Design-only (human-authority bounded, no crucible yet): medical, military, search-and-rescue. These are applications of the locked physics, kept out of the C1–C7 claim ledger. See docs/use_cases/.

The standard interface (provider-agnostic seam)

A tool/action = (name, description, JSON-Schema input); the proposer emits a typed call; the host decides execution. This is the common shape of Anthropic tool use, OpenAI/Ollama function-calling, and MCP — so the deterministic stub and a real local model are interchangeable behind sentaince.interface.tools.Proposer. The OllamaProposer (interface/ollama.py) is the live additive swap; MCP is the promotion path for exposing the ActionGraph across a process boundary.

Layout

Path	Role
sentaince/interface/	the standard seam — ToolSpec, proposals, Proposer, ScriptedProposer, OllamaProposer
sentaince/organism/	the organs — action_graph + interlock (C1), metabolism/gearbox/anomaly (C2/C3), antibody/learned_signature (C4/C5), outcome_oracle (C6), executor (mock)
sentaince/agents/	NaiveAgent / metabolic nulls and Organism (treatment)
sentaince/kernel/	read-only shim that locates the frozen kernel
experiments/	the A/B crucible runners (exp1–exp7 + the domain crucibles)
tests/	the 99-test deterministic suite (69 C1–C7 + 30 domain/adapter)
exocortex/	the deployable body: hooks, memory, deploy tooling, gauges, testbed
battle/ · body/ · docker/ · demo/	containerized battle-test (labeled demonstration)
exocortex/chatgpt_mcp.py	read-only ChatGPT Apps / OpenAI remote-MCP adapter for earned memory
vendor/kernel/	pinned read-only frozen-kernel snapshot (lets the suite run in-container)
docs/CLAIM_BOUNDARY.md	the binding claim ledger (C1–C7)
docs/use_cases/	domain application designs + contracts
docs/battle_test/	whitepaper · user guide · demo guide for the battle test

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Free forever — and sustainable

The whole local body — the safety gate, the earned memory, the dashboards — is Apache-2.0, free, and open, always. Safety is never paywalled. What keeps the project alive is an optional, fully local tune-up subscription (the Appliance) that maintains and auto-tunes your organism over time — your code never leaves your machine. See docs/PRODUCT.md for the honest commercial model, and docs/STORY.md for the plain-language tour.

	What it is
Free, forever	The complete organism: safety gate + audit chain, earned memory, MCP recall, deploy tooling, the full dashboard stack. 100% local, no account, no telemetry.
Paid (optional)	The Appliance — a fully local, offline tune-up subscription: maintained signed auto-tune cadence, history-mined insights, ranked estate view, local alerts. Unlimited repos, DRM-free (cancelling stops updates, never the running organism).
Never	Paywalled safety. Your code leaving your machine. A kill-switch.

Built by one maintainer, in the open, gauge-first — every claim is broken by its own null or it doesn't ship.