Akashic

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℗ 2026 Colossal Capital · managed SaaS

Any repo becomes a Collection.
Built for teams and every AI-built codebase.

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

One-shot masterpieces need a label, not a landfill

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.

What a Collection is

Any repository you connect — AI-built or not — mastered as one pressing: a record (code), a liner (prompts + provenance), and a volume (tickets + docs).

One repo, one pressing — three artifacts

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.

Artifact I · record

Spin the code

RAG index, analysis passes, codemap, deployments — what agents and CI run against.

RepoSource tree, branches, modules, commits
CodemapArchitecture fingerprint, ripple-risk graph
MasteringPrefect analysis passes that deepen the record over time
Artifact III · volume

Open the volume

Ticket matrix, doc navigation, graph explorer, reconciliation gate — the PM artifact product and eng share.

TicketsLinear, Jira, GitHub Issues — generated, semantically deduped, gated
Docs graphConsolidated docs, coverage scores, cross-links
ArchiveVersioned docs run to cloud storage per pass

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.

Collection, Library, Workspace

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.

01 · REPO

Collection

One repository — mastered into record, liner, and volume from repo, prompts, tickets, documentation graph, and codemap.

Metaphor: one boxed pressing — not one track.
02 · ENTITY

Library

Multiple Collections under the same entity — API, web, contracts, infra — shared run history and one reconciliation gate.

Metaphor: an album from one session.
03 · CROSS-ENTITY

Workspace

Collections across different entities in one collaborative environment — your org, a client, a portfolio company.

Metaphor: the full roster in one room.

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.

Multiple repos, one entity, one Library

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.

collection/payments-apiindexed
collection/payments-webindexed
collection/shared-contractssyncing
collection/deploy-confignew

library · payments · 4 collections

Cross-collection graph

Relationships span every Collection in the Library — see ripple effects before anyone merges.

Unified reconciliation

Tickets semantically dedupe against Linear, Jira, and GitHub Issues across the whole Library. One gate.

Library-scoped agents

Agents per Collection with shared Library context — the whole album, not one track.

One place for eng, product, and agents

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.

Web portal

Mastering passes, Prefect run history, RAG chat, ticket matrix, agent approvals, deployments — no install.

Open your Workspace →

Desktop app

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 →

VS Code extension

Connect Collections, run analysis, semantic search — same Workspace as the portal, from your editor.

VS Code Marketplace →

RAG chat with citations

Answers from indexed Collections via Milvus — file paths, not model memory.

Derived skill profiles

SKILL.md profiles from each Collection's conventions, stored in your Workspace.

Managed CI/CD

Tekton pipelines: builds, scans, signing, SBOMs — routed to your targets.

Human-in-the-loop queue

Approvals for syncs, mutations, and deployments — policies you control.

Codebase, PM & documentation integrations

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

GitHub
GitLab
Bitbucket

PM tools

Jira
Linear
Asana
Monday.com
ClickUp
GitHub Issues

Documentation

Confluence
Notion

Rainbow Serpents — DAGs composed by the sky deities

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.

Record

The executable substrate — code, codemap, and deploy context agents run against.

ARskillfiles

Liner

Prompt history + emit_skillfiles — how it was made.

Volume

Docs, PM context, tickets, archive — what teams reconcile.

Record code · codemap · deploy Liner prompts · skillfiles · provenance Volume tickets · docs · reconciliation Serpent sky-god agents in topo order

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.

22 + 1 deities — Auth0 identities across the SDLC

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.

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.

Every agent action — attributed, gated, and exportable

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.

Per-agent commit identity

Each commit, push, and PR is authored by the specific agent persona — clean Git blame and VCS history, not an anonymous shared bot.

Full agent-action audit trail

Ticket dispatch, commit, push, PR open, deploy run, secret access — recorded per tenant, filterable in the portal, exportable to CSV/JSON.

Approval gates where they count

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.

Off-portal notifications

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.

An agent for every person — never instead of them

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.

Teams & organizations

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.

Individuals

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.

Four steps to your first Collection

  1. 01
    Create an accountSign up at the CC keys portal. One API key for the portal, desktop app, and VS Code.
  2. 02
    Activate your tenantManaged Apollo infrastructure — nothing to install or host.
  3. 03
    Connect your reposAny Git repo becomes a Collection — Claude Fable, ChatGPT project, Gemini app, or legacy monolith. Group into Libraries, span entities in a Workspace.
  4. 04
    Collaborate in your WorkspaceReview tickets at the reconciliation gate, approve PRs and policy gates, let agents ship under scoped identities.

Platform fee + passthrough inference

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.

$0 for Akashic — Collections, mastering, portal, desktop app, VS Code
$5/mo Apollo — Prefect, Milvus, tenant storage
$15/mo per extra agent — 1 included per seat; teams capped at 2/person

What the platform covers

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.

  • Repo indexing, knowledge graph, and codemap
  • Prefect orchestration and run history
  • Identity-provisioned agents and reconciliation gate

BYOK — bring your own key

Connect your own API keys in the portal. Inference routes through your account; Akashic never resells your quota.

Anthropic OpenAI Google Gemini Together AI Hugging Face Groq Fireworks DeepSeek OpenRouter

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

Developed in Partnership with Ackward Roots Inc