Manual handoffs
Important context gets copied into prompts, chats, and one-off project spaces.
Private Context Layer for AI
Your company knows more than your AI can see.
CtxFlow connects the living knowledge across your docs, files, code, and decisions so assistants and agents can retrieve the right private context without creating another stale source of truth.
Private beta · For teams adopting AI assistants and agents
Docs & wikis
Files
Code
Decisions
CtxFlow
Private context layer
A structured map back to the knowledge your team already maintains
AI assistants
Coding agents
Team workflows
Retrieve context without replacing the source of truth
The context gap
AI tools are powerful. They still do not know your company.
Your team has the answers already. The problem is getting the right knowledge into each AI interaction without maintaining another knowledge base.
Stale copies
The answer drifts as duplicated documents fall behind the source your team maintains.
Fragmented knowledge
Decisions live across wikis, files, and code, while each AI tool sees only a partial view.
How it works
One layer between company knowledge and AI
Keep knowledge where it belongs. Make it usable where your team works.
1
Connect existing sources
Bring the docs, wikis, files, and code your team already relies on into one context surface.
2
Create a structured map
CtxFlow organizes a private layer around where knowledge lives, without asking your team to rewrite it elsewhere.
3
Retrieve scoped context
Assistants and agents can request the relevant slice for the work at hand and point back to its source.
Context for every team
The same knowledge, useful in different work
A shared context layer gives each assistant a relevant view of the company knowledge behind the question.
Engineering
"What changed, and why?"
Pull together relevant code, technical docs, and past decisions before making the next change.
Product
"What did we decide?"
Give planning assistants context from specs, research, and decision records without repasting the history.
Support & operations
"What is the current process?"
Ground answers in the latest runbooks, policies, and internal documentation your team maintains.
Leadership
"What does the team know?"
Trace a question across plans, updates, and source material instead of collecting another status document.
A better context foundation
Your second-brain layer, connected to the first
CtxFlow turns scattered company knowledge into a structured map AI tools can retrieve from, while your existing systems remain authoritative.
01
Keep the source of truth
Connect knowledge where it already lives instead of creating a second place your team has to maintain.
02
Shared context across AI
Give assistants and agents a common way to reach the same company knowledge across different workflows.
03
Built for retrieval
Make documents, files, code, and decisions discoverable as relevant context when an AI tool needs them.
04
Private company knowledge
Create a dedicated context layer for the internal knowledge your team does not want scattered across prompts.
Agent-ready foundation
Built for the way AI tools retrieve context
CtxFlow is designed for MCP-compatible workflows, giving assistants and agents a standard, queryable path to private company knowledge. MCP is the delivery mechanism; useful context is the product.
Context request
Scope the question
Retrieve relevant company knowledge
Return context with its source