Our Product, Antaris Analytics

IN ACTIVE DEVELOPMENT · PRIVATE TESTING

AntarisBot

Zero Dependencies

The entire antaris-suite engine ships inside, memory, guard, router, context, pipeline. All from first boot. No pip chains, no setup dance.

Shared Memory Across Agent Teams

Agents in a working group share context passively in real time, no polling, no blocking, no interruptions.

Collaborative Intelligence

Multiple agents coding, testing, reviewing, and architecting simultaneously, each aware of what the others are doing as it happens.

Gets Smarter With Use

Every conversation strengthens the collective memory. Domain-specific knowledge that improves with real usage, not pre-trained on generic data.

Isolated Working Groups

Full context sharing within a team, zero leakage between teams. Team A never knows what Team B is doing.

Multi-Platform Out of the Box

Personal AI for Discord, Telegram, and Slack, ready to go. Customizable personality system and one-command migration from OpenClaw, mem0, and similar platforms.

antaris-suite, Complete Agent Infrastructure

Memory, safety guardrails, intelligent routing, context management, and pipeline orchestration, all bundled in one install
Zero external dependencies, no cloud accounts, no API keys, no vector databases, no embedding services

STANDALONE PACKAGE

antaris-memory, Standalone AI Memory System

"The only memory system where your data never leaves your machine."

Core Engine

BM25 Search

Inverse document frequency ranking, fast, precise retrieval without embeddings or vector databases.

Natural Decay

Memories fade over time like human memory. Configurable half-life keeps your context relevant, not stale.

Sharding

Automatic time-based and category-based partitioning. Scales to millions of memories without slowing down.

Input Gating

P0-P3 priority classification filters out noise before it enters memory. Only what matters gets stored.

Sentiment Analysis

Every memory is tagged with emotional context, enabling emotionally-aware retrieval and personality consistency.

Temporal Awareness

Time-based retrieval and recency weighting. The system knows what happened when and surfaces it accordingly.

Confidence Scoring

Memories carry confidence levels that evolve as they're reinforced or contradicted over time.

Knowledge Synthesis

Autonomous gap detection and cross-memory insight generation. The system connects dots you didn't know existed.

Forgetting Engine + Consolidation

Controlled memory pruning and consolidation, related memories merge and strengthen. Just like human long-term memory.

Memory Types

Episodic Facts Preferences Procedures Mistakes

Multi-Agent Architecture

Agent-scoped memory with agent_id stamping
Session isolation, each session keeps its own context
Namespaces with lazy auto-loading
Working group shared memory, passive real-time context sharing
Migration tooling, move from OpenClaw, mem0, or any platform in one command

Privacy & Portability

100% local, nothing ever phones home
JSON file-based storage, human-readable, inspectable
Full export/import with deduplication
GDPR audit trail for deletions
Works on any machine with Python

Crowdsourced Semantics (In Development)

"We're building a three-tier semantic intelligence engine that gets smarter the more people use it, without ever touching their private data."

Tier 1

Local Co-occurrence

Tracks which words appear together in YOUR conversations. Stays on your machine. Always.

Tier 2

Lightweight Neural Bridge

Optional 22MB bundled model. Zero API keys. Works offline. No external dependencies.

Tier 3

Crowdsourced PPMI Model

Users opt in to share anonymized word-pair frequencies only. Aggregated into a static lookup dictionary. ~15ms, zero runtime overhead.

"Domain-specific embeddings trained on real agent conversations, not Wikipedia. Network effect meets privacy."