Never lose context again. Kiomon saves your work automatically and brings it back when you need it.
Native MCP clients & sources it connects
Cursor 
Claude 
OpenAI 
Ollama 
Gemini 
Codex 
Notion 
Confluence 
Google Drive 
Slack Cursor Claude OpenAI Ollama Gemini Codex Notion Confluence Google Drive Slack Every time you close a session, your AI forgets everything. You are forced to re-explain your rules, code structure, and decisions from scratch.
LLM API calls are stateless functions over ephemeral token windows. When an IDE session closes or an agent process exits, every architectural decision and convention vanishes from RAM.
Re-ingesting 30+ raw source files on every turn burns thousands of tokens. Kiomon uses surgical graph traversal to load only what is relevant via get_workspace_context.
Developers waste ~4.5 hours every week re-pasting guidelines, rules, and schemas into new chats. Kiomon keeps your rules pinned and auto-injected.
Connects seamlessly to Claude, Cursor, Ollama, Notion, Confluence, and custom agent scripts with zero custom glue code.
Claude Cursor Ollama Notion Confluence Google Drive Cross-session context retention in standard LLM client sessions
Engineering overhead lost to manual prompt & rule re-pasting
Token overhead eliminated via indexed hybrid graph retrieval
Scroll down to explore each stage of the pipeline.
Save tabs, notes, and documents from the browser extension, forward context via inbound email, or sync Notion, Confluence, and Google Drive on a schedule. Your agent drafts what it learned on its own. Every capture lands in your workspace, one second after it happens.
Kiomon automatically strips away ads, navigation, and junk markup. It uses Gemini in the background to extract the exact facts and entities you care about, giving your agent clean, high-signal context.
Connect Kiomon directly to Claude Code, Cursor, Gemini CLI, or any MCP-compatible app. Or use our native TypeScript SDK (@kiomon/kiomon) to power custom agent swarms with zero glue code and zero vendor lock-in.
Kiomon organizes your knowledge into moments, facts, routines, and sources. Every memory connects to a live knowledge graph that powers sub-150ms recall, guards your review inbox, and autonomously synthesizes weekly intelligence briefings.
Pull relevant context before your agent acts, save what it learns as it works, and trace how ideas connect using open MCP standards.
› get_workspace_context(topic: "vector-search")
· pinned · "BM25 fuses keyword + vector via RRF"
· routines · 3 runbooks · strength 0.72+
· moments · last retrieval 2h ago
› retrieve_memory({intent: "execute", query: "deploy vector service"})
› draft_memory({… confidence: 0.9}) ✓ auto-activated
› record_outcome({outcome: "success"}) ▍
Confident saves auto-activate; the rest wait here for your review. Every change is visible and reversible.
Pre-flight context loading and intent-aware retrieval — `retrieve_memory` hands your agent the facts, procedure, and warnings it needs to act, not just search hits.
get_workspace_contextretrieve_memorysearch_memory The agent records decisions and runbooks to your brain. A write gate auto-activates confident saves and routes the rest to your Review Inbox — every change is reversible.
draft_memoryreflect_session Report how the memories you used performed with `record_outcome`, walk evidence trails, and revert any autonomous change — the brain gets better with every outcome.
record_outcomeexplore_memory_graphmanage_memory All 14 tools over native MCP.
Every call streams over standard MCP with zero custom glue code and no vendor lock-in.
list_workspacesselect_workspaceget_workspace_contextsearch_memoryget_memoryretrieve_memoryexplore_memory_graphget_latest_briefingdraft_memoryreflect_sessionmanage_memoryrecord_outcomesave_documentlist_memories Wire persistent memory directly into your TypeScript & Node runtimes with the official Kiomon SDK. Call all 12 memory-native verbs with strict typing, automatic retries, and cryptographic state safety.
npm i @kiomon/kiomon AES-256 at rest, TLS 1.3 in transit. Keys managed through your own infrastructure.
Per-user workspace isolation with scoped API keys. Your memory is yours alone.
Never used to train models. Ever. Your context stays confidential.
One-click data control. Preview, approve, pin, archive, or delete your data anytime.
No credit card required for the free plan. Simple monthly billing with the freedom to cancel anytime.
For solo builders giving their first agent a brain.
For professionals and builders who want full, permanent memory for their agents.
For organizations running the agent brain at scale across teams and clients.
Prices in USD. Billing handled securely by Dodo Payments. Need more scale? Talk to us.
Something else on your mind? Email us and we will reply quickly.
Kiomon gives AI agents persistent memory. It captures what your agents need (like browser tabs, documents, and code decisions), turns them into clean memories, and feeds them back to any MCP-enabled agent on demand.
Any client that speaks the Model Context Protocol (MCP), including Claude Desktop, Claude Code, Cursor, Gemini CLI, and Codex CLI. For custom swarms, pipelines, or web applications, you can use our official TypeScript Agent SDK (@kiomon/kiomon) or REST API.
Capture web pages, articles, and notes with our browser extension, forward emails directly to your workspace inbound address, or sync Notion, Google Drive, and Confluence. Connected agents and workflows can also draft memories automatically using the MCP tools (`draft_memory`, `reflect_session`) or our native SDK.
Kiomon continuously analyzes your workspace activity over trailing 7-day windows to synthesize executive intelligence briefings. Each edition tracks key topics, connected ideas, revisited insights, and pending action items in a dedicated reading room, and can be retrieved directly by agents via the `get_latest_briefing` MCP tool.
Traditional RAG simply retrieves document chunks at query time and starts fresh every session. Kiomon creates an evolving knowledge graph of events, facts, runbooks, and references that your agent can read and update directly. It functions as durable memory infrastructure rather than a basic search index.
No. Your captures and memories are never used to train models. They are encrypted at rest and scoped to your workspace with per-user keys.
A write gate keeps junk out. When your agent proposes a memory, it sets a confidence score. High-confidence saves auto-activate so your agent isn’t blocked; anything less confident lands in your Review Inbox as a draft you approve or reject. Every autonomous change is visible in the “Kiomon’s decisions” feed and reversible with one click.
Memories are scored by strength and decay over time based on use. Retrieval makes a memory stronger; neglect lets it fade. Pinned memories are exempt from decay and always rank first.
Free for your first 3,000 memories. No credit card required. Give your agents the memory they need to actually do the job.
AES-256 encrypted at rest · No training on your data · Delete anytime