Neural AI / Products

Three surfaces.
One cognitive system.

Anant 1.0 is exposed through three product surfaces: a web interface for direct use, a command-line tool for developer workflows, and a sovereign deployment for institutions. The cognitive architecture is the same. The interface meets the user where they work.

Create persistent context through the surface that fits your work.

Each product uses the same cognitive memory architecture: structured extraction, belief-state labeling, multi-channel retrieval, and offline consolidation. The difference is where the system appears: browser, terminal, or private infrastructure.

01Private Alpha

Anant Web Interface

The conversational surface.

Persistent cross-session memory
Belief-state aware responses (known / believed / inferred / speculated)
Multi-channel retrieval over the user's knowledge graph
Daily consolidation cycles

A browser-based interface to Anant 1.0. Conversations persist across sessions. Memories are extracted, structured, and recalled with explicit belief states.

Built for individuals and teams who want to experience cognitive memory directly. Currently in private alpha with select partners.

Anant workspace
Known

1,284

memories

94%

source traced

12

sessions

Context tracelive recall
Project boundary
Deployment preference
Safety constraint

memory graph

belief_state: inferred

source: session/0427 + design_review/notes

Daily consolidation

04:30 UTC

Founder and operator memory

Keep decisions, partner conversations, product constraints, and follow-ups available across long-running work.

Research assistant workspace

Recall hypotheses, literature notes, experimental constraints, and open questions with source-backed context.

Team knowledge continuity

Give small teams a shared interface where important context survives handoffs, meetings, and changing priorities.

Product workflow

1Capture conversation
2Extract memory
3Label belief state
4Recall with sources
02Coming Soon

Anant CLI

Cognitive memory in the terminal.

Persistent project and architecture context
Stdin / stdout composition with existing CLI workflows
Local-first deployment for sensitive codebases
Natural language queries over team knowledge

A command-line interface to the same cognitive memory system. Designed for developers and technical workflows where context needs to persist across machines, projects, and time.

Pipe-friendly, scriptable, and built to integrate with the tooling teams already use.

anant-cli

$ anant recall architecture --belief --sources

retrieving persistent project context

index: neural/anant-web memory graph

api-boundaries: known

deployment: inferred from env + commits

risk: missing test gate on release path

sources: 18 files / 12 commits / 4 decisions

ready for pipe output

pipe

git diff

pipe

ci logs

pipe

runbook

Codebase context recall

Ask why architecture choices were made, where boundaries live, and what changed before touching a system.

Release and incident work

Pull recent decisions, deployment assumptions, and operational notes directly inside terminal workflows.

Local developer memory

Keep sensitive repository context close to the machine while still making it queryable and scriptable.

Product workflow

1Index project
2Query from terminal
3Trace evidence
4Pipe into tools
03Coming Soon

Anant for Enterprises

Sovereign deployment for institutional memory.

Air-gapped on-premise deployment
Role-based access control
Auditability: every memory traceable to source
Sovereign data residency

Anant deployed inside your own infrastructure. Designed for organizations where institutional knowledge cannot leave the building, including ministries, hospitals, law firms, and large enterprises.

Air-gapped reference architecture, role-based access, and an audit trail that traces every memory back to the original conversation.

Enterprise control planesovereign

Private memory fabric

healthy
LegalHealthGov

RBAC

roles mapped to memory scope

Audit

source trace for every recall

Air gap

private index and retrieval

Residency

regional data boundaries

memory policy

Institutional knowledge systems

Preserve operational memory across departments without exporting sensitive conversations or documents.

Regulated decision support

Use source-traceable memory for legal, public-sector, healthcare, and enterprise governance workflows.

Sovereign AI deployments

Run memory, retrieval, access control, and audit trails inside the organization's own infrastructure.

Product workflow

1Deploy privately
2Scope access
3Audit recall
4Govern retention

Everything in one cognitive workspace.

The products are separate surfaces over one memory architecture. Web conversations, developer context, and institutional knowledge can share the same principles: source-traceable memory, explicit belief state, and controlled deployment.

One stack for many surfaces

Unified memory and governance

Managed or sovereign deployment

Current state

Private alpha.

We are working with a small number of partners. Public release information for each product surface will be shared when we are ready.