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Akashic — portal helper.
Guides onboarding and the other agents.
℗ 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. Bundle Collections into a Library or Workspace, and iterate toward a shippable product — engineers, product, and identity-provisioned AI agents in one 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.
collection · library · workspace · human at the gate
AI-built repos · the timing
Teams generate complete apps in single sessions. Akashic turns those spikes into maintained products.
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 — becomes a Collection: analyzed, ticketed, and improved with a human at the gate.
What a Collection holds
A Collection is the repo plus everything it takes to keep shipping: the code agents run against, how it was built, the tickets your team shares, and the docs they read.
The connected repository — indexed so analysis, search, and agents work from the real tree, not a guess.
Prompt history and playbooks stay with the Collection, so the next session starts where the last one left off.
Analysis lands as tickets. Product and eng share one gate before anything syncs to your board.
Documentation stays current as the Collection changes — the same Workspace engineers and product already use.
One-shot AI builds arrive heavy on prompts. Mature repos arrive heavy on tickets and docs. Same Collection, different balance.
Product structure
Connect repos, bundle Collections, compose the Product Board, ship.
Connect any Git repo. Analysis finds gaps, files tickets, and agents work them — with human approval at the gate.
Add Collections to a Library (same entity — API, web, contracts, infra) or a Workspace (cross-entity — org, client, portfolio). Shared history and one approval gate.
Drag Collections into role slots — frontend, API, data, infra, docs — until the bundle is a shippable product.
Tickets across the bundle, agent workflows, human approval, then ship under scoped identities.
Workspace is where your team works Collections, composes the Product Board, reconciles tickets, and ships together. Web portal, desktop app, or VS Code — same Library, same board, same gate.
Product Board
Open the Product Board on any Library or Workspace — analysis runs against the bundle; tickets file across repos.
Each slot is a role in the product. One Collection per slot — clear ownership per lane.
Switch the board to emphasize product roles or the rails underneath — without mixing the two.
Tickets and agent work run against the composed board — not a loose bag of repos.
The Product Board lives in the Workspace — libraries and workspaces share the same composition surface.
Libraries
Fables especially rarely stay in one repo — but neither do most real products. Group every related Collection into a Library, compose slots on the Product Board, and run analysis, tickets, and agents across the full stack.
library · payments · 4 collections
See how Collections in the Library relate — before anyone merges.
Tickets 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.
Analyses, chat with citations, ticket queue, agent approvals — no install.
Open your Workspace →Run Akashic locally with a bundled local model — private and offline-capable by default. Switch to your own keys anytime; same Workspace, same gate.
Download the app →Connect Collections, run analysis, search with citations — same Workspace as the portal, from your editor.
VS Code Marketplace →Answers from indexed Collections — file paths, not model memory.
Conventions from each Collection, stored in your Workspace.
Builds, scans, and deploys — routed to your targets.
Approvals for syncs and deployments — policies you control.
Connect where your code lives, where your team tracks work, and where your docs live. OAuth through Idio — credentials stay in your vault; Akashic reads boards and docs for context and writes reconciled tickets back after the gate. Planned hosts are on the roadmap.
Code hosts
PM tools
Documentation
How work gets done
Tickets that span the stack become ordered work for named agents, gated by a human where it matters. Every run is auditable; tickets, plans, and decisions stay in one Workspace.
The connected repo agents run against.
Prompts and playbooks — how it was made.
Human approval before tickets sync or code merges.
Docs, tickets, and the product you actually release.
Named identities
Named specialists with their own identities — planning, code, review, security, release, and operations. ie, the platform helper, guides the flow.
ObVect runs the workflows underneath. Bring your own models. See ObVect →
Akashic — portal helper.
Guides onboarding and the other agents.
Platform agents — no first among equals.
Governance · compliance
Autonomous, never unaccountable. Agents commit under their own provisioned identity, every action lands in a tenant-scoped audit trail, and the moments that matter are human-gated. Built for SOC 2 and GDPR.
Each commit, push, and PR is authored by that agent — clean Git blame, not an anonymous shared bot.
Every agent action is recorded per tenant, filterable in the portal, and exportable on request.
Release a ticket to an agent, approve a PR before merge, and sign off a production deploy — each optional per environment.
Every gate notifies a human with a deep link, so approvals never stall in a queue nobody's watching.
MFA, SSO, and user provisioning — through Idio.
GDPR-ready by default. The audit trail is downloadable and erasable on request — your data stays portable, and right-to-erasure is a button, not a support ticket. Observability and access policy are managed by ObVect →
Powered by ObVect
Akashic is the product you use. ObVect is the AI backend underneath.
Inference, retrieval, and agent runs — one API across the models you already use, grounded in your code and docs.
Maps your repos, finds what's missing, and turns gaps into ordered tickets — with a human at the gate.
Opt in to a model trained from how your products actually evolve — not a dump of the source. More on ObVect →
Agent concurrency · by design
Provision as many agents as you need — no per-person cap, no per-agent seat charge. Your Colossal Capital tier sets how many agents run at once. When slots are full, excess runs queue automatically and start when a running agent finishes. People stay the approver.
Business 50 concurrent · Business+ 100 · Org 250 · Org+ 500 · Enterprise unlimited. Excess queues. Human seats are priced separately on team plans — agents are not sold per seat.
Free 3 concurrent · Pro 10 · Ultra 25. Same rule: unlimited configurations, queue when slots are full. Ultra and above include a priority queue.
Approver, not bystander. Agents execute under scoped identities; a human reviews and reconciles every change. Full concurrency & pricing →
Product newsletter
Product news, rollout notes, and when beta access opens. Akashic itself is free — you pay for the ObVect tenant that runs your Workspace.
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