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Docs · Source · pip install awm · The Aither World

The Aither World is an operating system for agents — a Linux you can hand to one, the runtimes it works in, and the tools it works with. awnix is the Linux underneath it; awm is one of its 55 bricks — each installs on its own, runs offline, and needs no account.

Start here: Give one agent a memory scoped to one project and watch it stop re-asking.

Agents forget everything between sessions, so they re-derive the same facts forever. The usual fix — one global memory — is worse: now every project sees every other project's notes, and one customer's context can end up in another customer's answer while the answer still looks like an answer.

awm is a memory with a scope on every row. SQLite file, no service, no network, no account.

pip install awm

awm remember --scope acme:alice:orchestrator --key recipe --value "rank 16, lr 2e-5"
awm recall   --scope acme:alice:orchestrator

Python 3.10+. The only dependency is the standard library.

The scope

platform:*:*               everyone
{tenant}:*:*               one org
{tenant}:{user}:*          one person
{tenant}:{user}:{project}  one piece of work

Three segments, always. * means "not narrowed at this level". platform is a reserved sentinel meaning everyone — a real organisation cannot be called platform, because resolving that ambiguity at read time would let a tenant name itself into the root of the hierarchy and see every other tenant's memories.

Two shapes are refused outright rather than interpreted:

you write what happens
acme:alice ScopeError — a scope has exactly three segments
acme:*:secret ScopeError — a project under a wildcard user is ambiguous
ac:me:alice:x ScopeError — a segment may not contain the separator

That last one matters more than it looks: a : inside a segment silently re-partitions the scope, and a re-partitioned scope is a different scope with different visibility.

Two rules, deliberately asymmetric

A write lands at exactly one scope. There is no "write somewhere in this subtree" — that is how a memory becomes visible to a scope its author never considered. remember() upserts on (scope, key), so writing twice updates rather than duplicating.

A read includes ancestors, weighted by distance. A project query surfaces the user's preferences and the org's conventions — that is the entire point of a hierarchy — but weight decays by 0.5 per level, so a platform fact never outranks a project fact merely by being older.

from awm import MemoryStore, Scope

store = MemoryStore("~/.awm/memories.db")
store.remember(Scope.parse("acme:*:*"),                "style", "British spelling")
store.remember(Scope.parse("acme:alice:orchestrator"), "lr",    "2e-5")

for m in store.recall(Scope.parse("acme:alice:orchestrator")):
    print(f"{m.weight:>4}  {m.scope:<26} {m.key} = {m.value}")

#  1.0  acme:alice:orchestrator    lr = 2e-5
#  0.25 acme:*:*                   style = British spelling

recall() takes query= (a substring over key and value), kind= and limit= (default 20). Results are sorted nearest-scope first, then most recently updated.

One property that is security, not tidiness

Siblings never see each other. acme:alice:* and acme:bob:* share an ancestor and nothing else.

The scope check is segment-wise, never a string prefix — because "acmecorp:secrets".startswith("acme") is True. That is one customer's memory entering another's context, silently. So recall() computes the exact visible set and issues WHERE scope IN (...):

-- what awm does                 -- what a prefix match would have done
WHERE scope IN ('acme:alice:x',  WHERE scope LIKE 'acme:%'
                'acme:alice:*',  --                    ^ also matches acmecorp:
                'acme:*:*',
                'platform:*:*')

There is a second check behind the first: every row that survives the IN is re-weighted, and a weight of zero drops it. The IN should make that unreachable — and if it ever is reachable, dropping the row is the safe answer and a leak is not.

Prediction is the tail, not the substrate

awm answers what happened, and who may see it. A predictor answers what happens next. They compose, and the whole coupling is one structural Protocol that awm defines and never imports an implementation of:

pip install awm            # memory; a retrieval miss is simply a miss
pip install awm awpredict  # misses come back marked PREDICTED, not RECALLED

Nothing in awm changes shape between those two worlds. That is on purpose: awpredict wants torch, awm is sold as SQLite, no service, no network, and a stranger who wants scoped memory should not have to acquire a deep-learning stack to get it.

And recall runs first, always. Measured on real transitions:

next-state class
online last-outcome lookup 0.9720
the trained latent model 0.9357

The learned model loses to a self-updating lookup on 98.9% of rows and wins only on the ~1.1% carrying a genuinely novel action. A design that consults a model before consulting memory is choosing the worse answer for almost every query.

Everything it does

awm remember --scope S --key K --value V write at exactly one scope
awm recall --scope S [--query Q] [--kind K] [--limit N] this scope and its ancestors
awm forget --scope S --key K remove one row
awm doctor what is installed, and whether the store answers
MemoryStore · Memory · Scope · visible_scopes the Python API
ANCESTOR_DECAY · PLATFORM · WILDCARD · SCHEMA_VERSION the constants that define the rules

Licence

Apache-2.0.

The aw family

Standalone tools that share one idea: replace something you would otherwise have to trust with something you can check.

Each installs on its own, works offline, and needs no account.

instead of trusting you check
awdk a framework's idea of how your agents should run one loop you can read, pointed at a backend you already pay for
awskills that an agent knows your procedure the procedure written down, versioned, and loadable by any agent
awpack that the pack you want shipped inside somebody's SDK, under whatever licence that SDK happens to carry the pack as its own versioned artifact, with its own licence, that any agent runtime can install
awm (you are here) that memory stayed in its lane tenant:user:project scopes, so a write cannot cross a boundary
awdesk that the agent is somewhere behind a browser tab a tray icon, a face on your desktop, and the decision card that pops when it needs you
awnode a vendor's cloud with every prompt a local gateway routing to backends you chose
awgraph that grep found everything an AST + tree-sitter call graph an agent can traverse
awgit that no one else is editing this file a lease, refused at commit time if you do not hold it
awdelphi one agent's confident take on a decision the round trace, the anonymity, and who dissents
awtoll that your tooling is saving you context the measured token cost of each tool call, and what the alternative cost
awseal that the artifact came from who you think an Ed25519 seal — the key that verifies is not the key that forges
awshare that the download is intact content-addressed bundles, verified on fetch
awnest that there is a person on the other end a verdict with evidence, where "we could not tell" is not "yes"
awrena a leaderboard someone can edit, and votes nobody counted a scored duel with both answers kept, and a result bound to them
awnboard a share link anyone who sees it can use an invitation addressed to one person, for one gate, revocable
awnix that the box is what you left it as an immutable image you built, with atomic rollback
awrecover that the restore worked a restore that fully lands or does not land at all
awstorage a du you ran last month, and a peers file that says 3 TB free an inventory snapshot per node with a diff since the last one, and each tree classified re-fetchable or not
awrelay a SaaS in the middle of your agents findings, alerts and coordination over your own transport
awask that anyone read the paragraph where you asked the ask itself, with a button that steers the session that raised it
awmail a mailbox somebody else can read mail your agents send and receive over your own server
awfind one vendor's idea of the web results from whichever providers you configured
awbrowse that the page said what you were told the render, the DOM and the requests it made
awvoice that a cloud vendor may hold your audio a transcript and a wav from a service you host
awvision a filename and a caption somebody wrote what a model actually reports about the pixels
awscreen a selector that was true when the page was written the elements actually rendered, by what they look like
gawbbonet the model to keep a 300-message campaign coherent by itself campaign facts recalled from scoped memory you can list and edit
aitherkvcache a vendor's quantisation defaults sub-byte KV cache kernels you can benchmark yourself
awrtifact a hand-rolled split script and a hand-edited worker manifest byte-verified parts in a release, served with Range + CORS, sizes asserted by a live gate
AitherZero a pile of scripts nobody has numbered numbered, discoverable automation with declarative playbooks
AitherConnect what a page tells your browser to do a federated search and desktop bridge you host
awreason a confident paragraph the phases it went through, and every tool call it made to get there
awrecurse that everything you pasted in was actually read which slices it opened, and what it concluded from each
awprism the first explanation that fits the ranked alternatives, and the observation that separates them
awrepl what the agent believes the value is the value, printed from the live session
awresearch a summary of pages nobody opened every claim against the source it came from
awfocus twelve terminal tabs and a bad memory one command that names every session, finds any transcript, and opens or steers the one you want
awgym that a world model learned anything from the games it saw transitions captured from real play, fed back, and the retrodiction score falling on grids it never saw
awpredict a model because it trained without erroring its prediction against a self-updating lookup, on the rows that are actually novel
awsh that you already know the name of the command what it decided your line meant, before it acts on it
awrise that a scheduled agent ran at all, and ran exactly once a durable record of every wake -- fired, skipped, overlapped or timed out -- each with its reason
awkno that the docs site is up, or that you remember the family the whole ecosystem in your terminal, with no network at all
awwall that a service only talks to the hosts you think it talks to an explicit egress allowlist, where a denial names the rule that denied it
awembed a general-purpose embedder that has never seen your code a held-out split of whole directories, scored teacher vs student vs int8
awtax a closed tax app's sealed file you can never read again a plain, provider-neutral schema of every figure, with the page it came from
awsettings that you will remember to re-approve the same thing on every box you work from one profile, unioned rather than overwritten, with the credentials left behind
awavatar a cloud 3D vendor's opaque task id a manifest with a sha256, a licence and a rig-audit verdict per file

awnix is the ground floor — A Linux you can hand to an agent — immutable base, capabilities included.

The Aitherium ecosystem

Every repository here is public. Each publishes an aither-manifest.json beside its page, so any surface can read every sibling's — the network is browsable from any node in it.

repo what it is pages
awdk Build AI agent fleets — 3 lines, any backend, local or cloud docs
awskills Portable agent skills — self-contained procedures an agent loads on demand docs
awpack First-party agent packs — the ones we build, versioned and installable on their own docs
awm (you are here) A portable, scoped agent memory docs
awdesk Aither World Desk -- the desktop body of AitherOS Online: tray, avatars, decision cards, the Living Desktop as an overlay docs
awnode A lightweight local gateway — bridges your apps to the AI backends you chose docs
awrun A priority-aware queue and dispatcher for agentic runs and ad-hoc CI builds. It also judges whether the runner pool is big enough for the queue it is draining, and can ask a host to grow it -- reserving capacity is zero-sum, so a saturated pool needs more of it, not a different share of it docs
awgraph A semantic code graph for agents — AST + tree-sitter, call graphs docs
awgit Semantic version control on top of git — edit-ops and leases docs
awdelphi Anonymous multi-round expert panels — a converged answer with a trace docs
awtoll What every tool call costs you in context, measured from your own transcripts docs
awseal Sign an artifact so a stranger can verify it docs
awshare Publish an artifact and fetch it back verified docs
awdit An append-only audit trail whose gaps are DETECTABLE docs
awbac Role-based access control that fails closed and explains itself docs
awiam Who is this caller? A directory and session store that fails honestly docs
awtunnel Reach a service that has no public address docs
awnest Prove there is a human before you let them into the nest docs
awrena Put two agents head to head and get a verdict you can check docs
awnboard A front gate you can put in front of anything, and hand someone the key to docs
awnix A Linux you can hand to an agent — immutable base, capabilities included docs
awrecover Labelled snapshots with an all-or-nothing restore docs
awstorage Every drive on every node, indexed, classified and diffed -- so you can see what you own before you delete it docs
awrelay Portable agent messaging — findings, alerts, coordination docs
awask Your agent asks you a question — and acts on your answer docs
awmail Give an agent an email address — send, and actually receive docs
awnet The agentic web — agents host a mesh, and agents join one docs
awfind A portable search client — query, results, ranking docs
awbrowse A portable browser client — navigate, console, network, DOM, screenshot docs
awvoice Hear and speak — transcribe audio, synthesize a voice docs
awvision See an image — describe it, ask it a question, compare two docs
awscreen See this machine — what is on screen, and where to click it docs
awknowledge How to run a coding agent so the result survives — the laws, with evidence docs
gawbbonet GobboNet campaigns with a real agent brain — scoped memory, graph recall docs
aitherkvcache Near-optimal KV cache quantization for LLM inference — sub-byte compression docs
awrtifact Deliberately chunk artifacts into GitHub release assets — the productized aitherkvcache mirror lane docs
AitherZero PowerShell 7+ automation framework — numbered, self-describing scripts docs
AitherConnect Browser extension — federated AI search, page context, and the Living OS overlay docs
awreason A portable reasoning client — sessions, phases, thoughts, and the chain that produced the answer docs
awrecurse Answer a question over a context far larger than the window — recursively, with the trace kept docs
awprism Turn a failure into ranked hypotheses — and say what would confirm each one docs
awrepl A REPL an agent can actually use — state that survives between turns docs
awresearch Ask a research question, get a cited report you can check docs
awfocus See, search and steer every Claude session from one command docs
awgym An ARC training gym — a game a world model can watch, and six roles that play through it docs
awpredict Predict what your environment does next, and how surprised you were docs
awsh Your terminal answers you -- type a question where a command would go docs
awrise Wake an agent on a schedule, let it do one thing, and put it back to sleep docs
awkno The man page for the Aither World — every brick, stack and law, offline docs
awwall Say what a workload may reach, and watch everything else fail closed docs
awembed Train an embedding model that knows your corpus, and prove it beats the big one docs
awtax Turn any tax PDF -- returns, W-2, 1099, statements, even scans -- into structured data you can check docs
awflow A deterministic workflow runtime — chain agent calls with journal replay and budget control docs
awsettings Your agent's permissions and config, following you to the next machine docs
awavatar One character spec in, a rigged, animated, multi-style avatar pack out docs
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