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 The Stateless Agent Problem
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
How it works
Scroll down to explore each stage of the pipeline.
Save tabs, notes, and documents from the browser extension. 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, Cursor, Ollama, or any MCP-compatible app. Your agent accesses your memory automatically with zero custom glue code and no vendor lock-in.
Kiomon organizes your knowledge into moments, facts, routines, and files. Every memory connects to a live knowledge graph, ranking relevant context higher and keeping your pinned rules active forever.
The Knowledge Graph
Nothing sits in a silo. Kiomon automatically links every capture across shared entities, verified claims, and source evidence. Your agent gets an interconnected knowledge graph it can traverse instead of guessing through flat files.
BGE-small-en-v1.5 embedding engine running in-process for sub-15ms vector index generation.
8 tools · native MCP
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
› search_memory("Dodo webhook idempotency")
› draft_memory({…}) ▍
Your agent proposes drafts, and you stay in control with one-click approval.
Pre-flight context loading & hybrid keyword + vector retrieval before the agent executes any action.
get_workspace_contextsearch_memory The agent records decisions, bug fixes, and runbooks directly to your brain as background work completes.
draft_memoryreflect_session Walks relational links, corroborating claims, and source evidence trails across past agent sessions.
explore_memory_graphmanage_memory All 8 tools over native MCP.
Every call streams over standard MCP with zero custom glue code and no vendor lock-in.
get_workspace_contextsearch_memoryget_memoryexplore_memory_graphdraft_memoryreflect_sessionmanage_memorylist_workspaces Security & trust
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.
Pricing
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.
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). That includes Claude Desktop, Cursor, Ollama, and OpenAI-compatible runtimes, plus our REST API for custom setups. Because it uses open standards, there is zero vendor lock-in.
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.
Your agent proposes new memories and puts them into your Review Inbox as drafts. Nothing becomes active until you review and approve it. You can also pin important memories, archive old ones, or delete them whenever you want.
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.
Get started free
Free for your first 1,000 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