Conversation is temporary
Important decisions disappear into old threads unless they are captured as durable, navigable knowledge.
Autonomous by AutoCache
Your AI starts where you left off.
Autonomous gives supported AI clients durable context across models, agents, and sessions. AutoCache packages the local engine, user-owned Volumes, portable skills, optional hooks, and receipt-backed upkeep into one product you can inspect.
A downloadable local product, not a hosted memory service. Sales and automated downloads are coming later; the private preview is open now.
$ resume work
01
Navigate current knowledgecatalog / topic / exact range / relations
found
02
Restore active contextgoal / ownership / verified progress / next action
loaded
03
Check knowledge integritynavigation / sidecars / freshness / receipts
green
Context restored
Continue from evidence, not chat-history guesswork.
Proof is staged
- 1Source found
- 2Installed
- 3Discoverable
- 4Invoked
- 5Behavior proven
Runs locallyThe server runs on your computer.
Your filesYour Volumes stay under your control.
Model-flexibleUse supported AI clients without one-vendor lock-in.
Evidence-backedReceipts distinguish activity from proven results.
The continuity gap
A longer context window is not a memory system.
Chats end. Models change. Files drift. Search finds words without knowing which record is current. AutoCache adds a governed continuity layer between your knowledge and the AI using it.
Retrieval needs authority
Finding a similar passage is not enough. Current records, supersession, provenance, and exact scope matter.
Automation needs evidence
A green scheduler status does not prove useful work. Every unattended stage needs its own output and receipt.
The system
One continuity layer. Four explicit parts.
Events provide timing, skills provide procedure, tools provide capability, and Volumes hold durable truth. The parts cooperate without pretending that one layer proves another.
Inputs
Models, agents, files
Work enters from supported AI surfaces and reviewed sources.
Engine
Autonomous
Recall, extraction, continuity, ownership, and evidence-aware operations.
Durable layer
Volumes
User-owned knowledge with catalogs, section maps, relations, and provenance.
Autonomous
Gives supported AI clients a consistent way to navigate knowledge, recover session state, track multi-step work, capture verified learning, and check propagation after a change.
Volumes
Portable, readable files organized by topic. The knowledge remains inspectable outside any single model, vendor, database, or chat interface.
Skills
Teach each AI how to recall, verify, write, coordinate, and hand off work. Skills travel with the method instead of relying on a model to remember the rules.
Hooks
Route procedures at lifecycle events when the host supports them. Installation is not enforcement; trust and a real route-complete event must be tested separately.
The product line
Start with Autonomous. Add only what you need.
AutoCache separates the local memory engine from its accessories so installation, host integration, maintenance, and optional reasoning remain explicit choices.
Autonomous
The local MCP memory engine for recall, extraction, continuity, ownership, and verified knowledge operations.
Runtime identity staysautonomous.exe for compatibility.
Autonomous Skills Pack
Portable operating procedures that teach supported AI clients how to recall, verify, coordinate, and hand off work.
Autonomous Hooks Pack
Lifecycle routing for hosts that support hooks. Trust and real-event behavior are verified separately after installation.
Starter Volumes
A synthetic, privacy-scanned knowledge tree for learning the method without exposing or mixing in your real data.
Maintenance Pack
Today: preview-first bundle and Starter Volumes integrity checks with terminal receipts. Broader navigation and sidecar upkeep remains a roadmap.
Reasoning Pack
Deeper audits and synthesis for customers who choose a supported model subscription and its separate cost boundary.
Volumes
Your knowledge stays readable, portable, and yours.
Volumes are the durable substrate beneath AutoCache: markdown-first knowledge organized into topics, with machine-readable navigation and relations layered beside the content.
No private corpus in the product package.
Starter material is synthetic. Your real knowledge is added separately and remains under your control.
Catalogs route the topic
A compact index points the AI to the canonical subject instead of making every session scan everything.
Operating files hold current truth
Topic records consolidate decisions, procedures, discoveries, status, and their evidence over time.
NAV maps keep reads bounded
Section ranges let an AI open the relevant passage directly, reducing noise and avoiding full-corpus reads.
Sidecars connect the knowledge
Separate metadata companions carry keywords, provenance, supersession, and relationships without rewriting the source prose.
Search follows structure
Literal, semantic, and concept search reinforce navigation when needed; they do not silently outrank canonical records.
The method
Recall first. Learn only when it earns permanence.
AutoCache is not an indiscriminate transcript dump. It separates temporary context from durable knowledge and uses verification before promotion.
Navigate
Enter through the catalog, then the canonical topic, exact section, and relation layer.
Act
Restore goal, ownership, verified progress, risks, and the exact next move.
Verify
Read back writes, parse structured artifacts, and test behavior at the layer being claimed.
Capture
Keep a learning only when it is reusable, specific, and genuinely new.
Propagate
Update navigation, relations, and dependent references so one change does not fork the truth.
How it reaches you
The website delivers the product. It does not become your memory server.
AutoCache.ai will handle product information, verified downloads, licensing, and support. Autonomous and your Volumes stay on infrastructure you control.
Choose
Select the core product and the accessories your AI host supports.
Download
Receive a versioned package with integrity information and clear prerequisites.
Install locally
Point Autonomous at a new Starter tree or an explicitly chosen personal Volumes root.
Connect your AI
Install the matching skills and, when supported, separately review and trust hooks.
Verify
Prove discovery, invocation, and the behaviors that matter before calling the system ready.
Website, downloads, licenses, release notices, and support
Autonomous runtime, configuration, Volumes, logs, and receipts
Scheduled upkeep
Integrity grows in separately proven stages.
The current private-preview pack verifies the installed bundle and immutable Starter Volumes baseline, then writes local receipts. It does not regenerate knowledge, navigation, or sidecars.
Roadmap
fresh context
not shipped today
1Detectchanged or stale
2RefreshNAV and relations
3Reconcileperiodic full pass
4Proveoutput and receipt
Current: bundle integrity
A daily, separately registered task validates the installed closed-world bundle and writes a local result receipt.
Current: Starter baseline integrity
A weekly task checks immutable anchors and required control-file shape without hashing or rewriting mutable learning bodies.
Current activation boundary
Registration is preview-first, requires a separate apply step, and leaves new tasks disabled unless the customer explicitly enables them.
Future broader loop
Change detection, navigation refresh, sidecar upkeep, self-heal, reconciliation, and receipt consumers remain roadmap work until clean-host proof.
Integrity verification pack
Two narrow tasks verify the installed source bundle and Starter Volumes baseline. They do not rewrite Volumes or claim semantic maintenance.
- Preview before registration
- Ship disabled by default
- Bundle and Starter checks only
- Local terminal receipts
Reasoning pack
Deeper audits, summaries, and synthesis can use a supported model subscription, but that dependency is never imposed silently.
- Explicit model dependency
- Separate setup and cost boundary
- Independent outputs and receipts
- Safe to omit from the base install
Personal and domain automations
Trading, backups, business workflows, and machine-specific jobs keep their own identity and do not become AutoCache merely because they use its knowledge.
- No silent product bundling
- No cross-domain ownership takeover
- No machine paths baked into the core
- Connect through explicit interfaces
Trust boundaries
Capability is visible. Authority stays explicit.
AutoCache treats source, installation, discovery, invocation, and enforcement as different states. It reports what is proven without turning configuration into a security claim.
Local-first by design
The AutoCache website does not host your Autonomous server or Volumes. You decide what enters your knowledge and which clients may reach it.
Human gates remain
Restarts, irreversible actions, credentials, money, and other high-impact decisions remain explicitly authorized.
Hooks do not self-certify
A hook becomes meaningful only after its exact definition is trusted and a harmless real event proves the route that matters.
Schedules do not self-certify
Task status, process launch, and timestamps are intermediate evidence. Semantic output and a run-specific receipt close the proof chain.
Readable before proprietary
Markdown and explicit metadata keep the knowledge inspectable. Optional indexes accelerate recall without becoming the only copy of truth.
Provider boundaries stay visible
When you use a cloud AI client, selected context may be sent to that provider under its terms. That is separate from AutoCache receiving your Volumes.
Private preview
Get Autonomous by AutoCache.
Sales and automated downloads are not active yet. Join the private preview for release notices, supported-platform details, and availability without creating an account or handing us your Volumes.