CosmicOS is an AI Memory Operating System that groups raw conversation logs into structured facts and tracks timelines via graph superseding links in the background. Stop context rot, slash downstream prompt costs by 90%, and ensure your agents always run on the current truth.
AI agents cannot naturally consolidate memories. Over long sessions, they pull outdated facts, repeat work, and waste context window tokens.
Vector databases retrieve outdated history alongside updates because they are blind to time. The AI cannot tell which fact is current, leading to wrong decisions.
Multi-step AI agent loops lose track of context. Without structured timeline tracking, agents repeat previous steps and fail on recursive reasoning tasks.
Standard RAG stuffs entire conversation transcripts into prompts. Paying for raw redundancy and noise dilutes semantic context and inflates bills.
CosmicOS reads every conversation, tracks evolving decisions, and briefs your agents with only what's true right now.
Connects to Slack, Email, CRM, and tickets — every message is captured automatically.
Auto-clusters topics, extracts facts, and detects when information changes over time.
Contradictions are flagged and old facts marked superseded — your knowledge base always reflects reality.
Agents get a precise briefing — not 500 raw messages, just the verified current truth.
Clinical research and patient histories change daily. CosmicOS ensures medical agents reference only the active treatment protocol, preventing critical diagnosis errors.
Regulated FlowsMulti-party contract terms and regulatory filings evolve over months. CosmicOS maps how clauses changed, providing a clear chronological timeline for audits.
Audit TrailShared context between multiple department bots is difficult to synchronize. CosmicOS unifies organizational knowledge, preventing sales and support agents from contradicting each other.
Cross-Agent MemoryCustomers repeat preferences across chat sessions and tickets. CosmicOS consolidates user history into a single active state, enabling instant personalized resolutions.
Zero RepetitionInvestment research and portfolio strategies shift rapidly. CosmicOS prunes stale analyst insights, keeping financial models aligned with current market conditions.
Real-Time TruthSystem architectures and sprint objectives evolve. CosmicOS tracks past design decisions and rationale, saving engineering context-switching time.
Decision MemoryStandard Retrieval-Augmented Generation finds similar text. CosmicOS understands how knowledge evolves and serves only what's true right now.
| Capability | Standard RAG | CosmicOS |
|---|---|---|
| Find similar text | ✓ | ✓ |
| Track fact evolution over time | ✗ | ✓ |
| Auto-detect contradictions | ✗ | ✓ |
| Serve current truth only | ✗ | ✓ |
| Auto-discover topic clusters | ✗ | ✓ |
| Cross-agent shared memory | ✗ | ✓ |
| Compliance audit trail | ✗ | ✓ |
| On-premise deployment | Varies | ✓ |
We benchmarked CosmicOS against Standard RAG on 50 real-world meeting transcripts — over 222,000 tokens of enterprise-grade data. The results speak for themselves.
Every query returns only current, verified facts — never outdated or contradictory information that leads to hallucinations.
No manual tagging, no human curation. CosmicOS auto-clusters topics and extracts structured facts from raw conversations.
At enterprise scale (50K queries/day), CosmicOS saves over $27,000 per year in LLM API costs vs. Standard RAG.
64 tokens per query vs. 656 for Standard RAG. In multi-agent loops, this compounds to 10× savings across every hop.
Answer-Only Mode bypasses raw context entirely, serving pre-compiled verified facts to downstream agents.
In multi-agent loops (5 hops), Standard RAG carries 3,280 tokens/query vs. CosmicOS Answer Mode at just 320 tokens.
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