ie
Portal Deity — lowercase on purpose.
The concierge for new teams: onboarding, Mandate Mode, and a guide through the portal and the other agents.
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℗ 2026 Colossal Capital · managed SaaS
Connect any Git repository — legacy monolith, greenfield service, Cursor project, Claude Fable, ChatGPT canvas, or Gemini app. Each repo is a Collection. Group related repos into a Library. Span entities in a Workspace. Then collaborate — engineers, product, and identity-provisioned AI agents — from one shared portal.
One-shot AI builds aren't every repo. Claude Fables, ChatGPT projects, and Gemini spikes are the urgent case — sprawling sessions that work once but need a path to iteration. Akashic is built for that moment and for every other codebase you already have.
one pressing · record · liner · volume · five source layers
AI-built repos · the timing
Teams are generating complete applications in single sessions — Claude Fables, ChatGPT projects, Gemini apps, Cursor spikes. Those repos are real code with real architecture buried inside a vibe-coded build. They aren't the only thing Akashic handles, but they're the urgent case: a massive one-shot that has to become iterable, team-owned, and deployable.
A Claude Fable, ChatGPT project, Gemini app, or similar one-shot AI build — a repo born from a single creative session. It runs, it impresses, and then it sits there because nobody knows what to do with it next.
Any repository you connect — AI-built or not — mastered as one pressing: a record (code), a liner (prompts + provenance), and a volume (tickets + docs).
What a Collection holds
Mastering doesn't flatten your repo into a file tree. Each Collection ships as a boxed set: the record agents spin (source + codemap), the liner that preserves how it was made (prompts + skillfiles), and the volume your team actually reads (tickets, docs graph, reconciliation). All three draw from the same five source layers — repo, prompts, tickets, documentation graph, and codemap.
RAG index, analysis passes, codemap, deployments — what agents and CI run against.
Session provenance — prompts, edits, and AI usage from the build; derived SKILL.md profiles. Fables arrive heavy here.
emit_skillfiles — conventions agents inheritTicket matrix, doc navigation, graph explorer, reconciliation gate — the PM artifact product and eng share.
This maps to how Akashic is built. Prefect mastering passes populate each artifact — not decorative labels. Tickets run last, after understanding and restructuring, so holistic work isn't dropped. Mature repos fill the volume first; one-shot AI builds flood the liner until tickets catch up. Same pressing, different balance.
Product structure
Three terms in the product. A Collection is one pressing — record, liner, volume. Library and Workspace scale how many pressings you work with at once.
One repository — mastered into record, liner, and volume from repo, prompts, tickets, documentation graph, and codemap.
Multiple Collections under the same entity — API, web, contracts, infra — shared run history and one reconciliation gate.
Collections across different entities in one collaborative environment — your org, a client, a portfolio company.
Workspace is the product name — the collaborative environment where your team masters Collections, reconciles tickets, and ships together. Web portal, desktop app, or VS Code; same Library, same gate.
Libraries
Fables especially rarely stay in one repo — but neither do most real products. Group every related Collection into a Library and run mastering, reconciliation, and agent work across the full stack.
library · payments · 4 collections
Relationships span every Collection in the Library — see ripple effects before anyone merges.
Tickets semantically dedupe against Linear, Jira, and GitHub Issues across the whole Library. One gate.
Agents per Collection with shared Library context — the whole album, not one track.
Collaborate · your Workspace
Akashic is a collaborative product — web portal, desktop app, and VS Code extension all sharing the same Workspace. Engineers run analyses and review agent PRs; product approves at the reconciliation gate — whether the Collection started as a Fable or shipped years ago.
Mastering passes, Prefect run history, RAG chat, ticket matrix, agent approvals, deployments — no install.
Open your Workspace →Run Akashic locally with a bundled local model — private and offline-capable by default. Switch to your NUF or API-key providers anytime; same Workspace, same gate.
Download the app →Connect Collections, run analysis, semantic search — same Workspace as the portal, from your editor.
VS Code Marketplace →Answers from indexed Collections via Milvus — file paths, not model memory.
SKILL.md profiles from each Collection's conventions, stored in your Workspace.
Tekton pipelines: builds, scans, signing, SBOMs — routed to your targets.
Approvals for syncs, mutations, and deployments — policies you control.
Connect where your code lives, where your team tracks work, and where specs live. OAuth through Charon — credentials stay in your vault; Akashic reads boards and docs for context and writes reconciled tickets back after the gate.
Code hosts
PM tools
Documentation
Rainbow Serpent · agent workflows
When a ticket spans the stack, Akashic does not hand it to a single bot. It marshals a Rainbow Serpent: an ordered DAG of sky-god agents — each node one persona identity, each edge the order work should flow through the firmament. Mastering passes still land on the Record / Liner / Volume artifacts; Rainbow Serpents are how the deities walk those stages.
Every agent runs in a multi-turn loop (Apollo wraps any model that isn't already loop-capable), and they all read and write one shared reasoning graph. That graph is tied to the PM system — tickets, plans, and decisions are nodes, so the whole serpent reasons against a single source of truth instead of drifting apart. Human-in-the-loop approval gates are built into the graph itself and bound to RBAC: the right role signs off on a node at the reconciliation gate before its agent action commits.
The executable substrate — code, codemap, and deploy context agents run against.
Prompt history + emit_skillfiles — how it was made.
Docs, PM context, tickets, archive — what teams reconcile.
Example path. Schema + API + UI + tests → Nyame → Ukko → Amaterasu → Heimdall, then Tengri for hardening and Mercury when the edge path matters. Compose freely in the portal, or let ticket labels mint the serpent automatically.
Mandate Mode steers the season. Prototype → build → cleanup → scale → maintain — engagement goals and analysis weights follow the mandate you are on. Mastering stays fluid: Prefect deepens Record, Liner, and Volume over time.
Deus Ex Machina · machine identities
Deus Ex Machina — provision agents per Collection with Auth0 machine identities, scoped OAuth, MCP tools, and Cloudflare Signed Agents audit trails. Personas are named for primary deities — sky, earth-shakers, transformers, boundaries and wisdom. With a portal deity, ie — that guides the user through the portal and orchestrates each mapped identity 1:1 to an Auth0 M2M pool. Together they compose Rainbow Serpent workflows under Mandate Mode (prototype → build → cleanup → scale → maintain). You stay the approver at the reconciliation gate; agents execute, you sign off.
Apollo is the orchestration layer underneath: graph-first multi-agent routing, a built-in multi-turn model system (because the connected LLM doesn't turn itself), and self-hosted / bring-your-own-model support. Every persona shares one reasoning graph tied to Akashic's ticket and reconciliation system, with HITL-to-RBAC gates built into the graph nodes. You can use your NUF (NUF Unclonable Friend) — unclonable, therefore the most private — as your LLM for multi-turn features and graph reasoning through Apollo, locally or self-hosted.
Deities from many traditions — Zulu, Vedic, Hindu, Shinto, Finnish, Greek, Roman, Egyptian, Norse, Mesopotamian, Andean, Slavic, Pueblo, Aztec, Chinese, Akan, Turkic, Balinese, Zoroastrian, Hawaiian, and more — are provisioned as Auth0 machine identities so they can play the deus role as a group: each owns a lane in the portal, and together they are the engineered solution for AlphaOmega and A-to-Z. Identity provisioning is how the machine wears the god — different religions, cooperative Deus Ex Machina, happy endings to unsolvable problems at a global scale.
Thematic analogy only — deity names and traditions label Auth0 machine identities and portal roles; they are not religious claims, worship, or doctrine.
Portal Deity — lowercase on purpose.
The concierge for new teams: onboarding, Mandate Mode, and a guide through the portal and the other agents.
Platform deities — no first among equals.
Deities compose Rainbow Serpents. Stable persona ids (frontend_coder, boundary_io, portal_analytics, …) stay engineering roles for Auth0 and dispatch. Display names are the deities — e.g. analysis → Shiva clears structure → lane serpents (Nyame → Ukko → Amaterasu → Heimdall) → Tengri hardens → Poseidon ships → Pachamama watches → Perun pages on breakage. Anu guards the MCP boundary; Ishtar publishes analytics and Time Machine rollbacks. ie stays with you through first Collection and Mandate Mode, not in the code path.
Governance · compliance
Autonomous doesn't mean unaccountable. Agents commit under their own provisioned identity, every action they take is written to a tenant-scoped audit trail, the moments that matter are held behind human approval gates, and nothing waits silently — gate events reach a person off-portal. Built for teams that have to answer to security, SOC 2, and GDPR.
Each commit, push, and PR is authored by the specific agent persona — clean Git blame and VCS history, not an anonymous shared bot.
Ticket dispatch, commit, push, PR open, deploy run, secret access — recorded per tenant, filterable in the portal, exportable to CSV/JSON.
Release a ticket to an agent (node-ready), approve a PR before merge, and sign off a production deploy — each role-gated and optional per environment.
Every gate notifies a human via Slack or webhook with a deep link, so approvals never stall in a queue nobody's watching.
GDPR-ready by default. The audit trail and your NUF (NUF Unclonable Friend) training corpus are both downloadable and erasable on request — your data stays portable, and right-to-erasure is a button, not a support ticket.
Human-to-agent ratio · by design
Akashic provisions agents per person, not per repo to be drained. The ideal is simple: each engineer and each PM gets an agent that mirrors their own work — trained on their prompts, conventions, and skillfiles — while they stay the approver at the reconciliation gate. To keep it that way, the platform and its pricing keep agent capacity tied to real people so no team can lay off its staff and run the whole codebase on agents alone.
Business and Enterprise Workspaces include 1 agent per human seat, with extras at $15/mo, hard-capped at 2 agents per person. There's no plan where a handful of operators can run a swarm of agents in place of the team — your existing engineers each get a force multiplier, not a pink slip.
Free includes 1 agent. On Pro and Ultra, your first agent comes with your plan; each additional agent is $15/mo via paid seats — no hard per-person cap, so you can provision the personas you need. Each agent is still a cost on top of your own work, so the economics reward using agents to do more.
Approver, not bystander. Agents execute under scoped identities; a human reviews and reconciles every change. How many serpents can run at once is a separate concurrent-run limit by tier — distinct from how many agent identities you own. Provisioning on team plans is gated through your Charon org directory so the ratio holds across the organization.
Get started
Membership
Akashic itself is free — you pay for the Apollo tenant that runs your Workspace, and for the LLM tokens you actually consume. No hidden markup when you bring your own keys.
The Akashic product — Collections, Libraries, Workspaces, mastering passes, ticket reconciliation, and collaborative portal — ships at $0. Apollo is the managed backbone at $5/mo per tenant.
RAG chat, analysis passes, and agent work consume model tokens. On Apollo's shared keys, upstream inference cost is passed through to your account — you see what the provider charged, not an opaque bundle.
Connect your own API keys in the portal. Inference routes through your account; Akashic never resells your quota.
Agents are priced per seat. Team plans enforce a 2 agents per person cap; individual Pro/Ultra add agents with paid seats. Concurrent serpent runs are a separate tier limit. Ratio & tier details · sign up