95% Token Reduction · REST API · SOC2 Ready
Linear chat history is expensive, slow, and fragile. Ctxfy transforms raw text into structured state, solving the three biggest problems in LLM usage.
Don't feed the model junk. We strip away chit-chat and redundancy, preserving only active constraints, code snippets, and decisions. Turn 20k tokens into 500.
Agents crash when context fills up. Use Ctxfy API as a 'Garbage Collector' for your agent's memory. Compress the tail, inject the state, and run forever.
Stop vendor lock-in. Move your context from ChatGPT to Claude or Local Llama instantly. Our state objects are universal logic, understood by any LLM.
Static context dies quickly. Use the /fast-forward endpoint to inject new API specs, logs, or diffs into an existing state. Update the model's knowledge without starting a new session.
How Ctxfy transforms noise into signal
Upload chat exports via UI or send raw message arrays via API. We accept JSON, Markdown, and direct paste.
Our engine identifies 'Hard State' (code, variables, decisions) and discards 'Soft State' (chit-chat, formatting).
Receive a structured 'State Object'. It's a high-density prompt optimized for LLM comprehension.
Paste the artifact into a fresh window or inject via system prompt. The model resumes with full IQ instantly.
Whether you are coding an autonomous agent or managing complex architecture specs.
Integrate compression directly into your LangChain or AutoGPT pipeline with a single POST request.
Stop paying to re-process the same 50k tokens. Ctxfy typically reduces input costs by 80-90%.
Every key choice and artifact in one place. Find the exact decision or snippet instead of scrolling through threads.
Don't get locked into one vendor. Your Ctxfy State works in Gemini, Claude, Mistral, OpenAI, and more.
Don't just compress history—enrich it. Use 'Fast Forward' to append real-time data (like DB schemas or error logs) to your compressed state before sending it to the LLM.
Start manually for free. Scale via API as you grow.
For individuals and explorers getting started
Forever free
For professionals who need advanced control and higher limits
per month
For teams with custom security and compliance needs
Volume pricing available
Everything you need to know about Ctxfy.
How does the compression actually work?
We use a multi-stage pipeline. First, we parse the conversation structure. Then, a specialized model analyzes 'Soft State' (chit-chat, reasoning steps) vs 'Hard State' (code, facts, constraints). We rewrite the history into a dense, natural language prompt that LLMs are optimized to attend to.
Can I use the API for autonomous agents?
Yes. Create a source via POST /v1/spaces/:spaceId/sources with type CONTENT whenever the agent hits a token threshold. Receive a postback with the processed content and use it as the fresh system prompt.
What is the output format?
The Source response includes data.content (compressed/summarized text) after processing completes. Use it in the system prompt of your next completion call. For extracted code and schemas, see GET /v1/spaces/:spaceId/artifacts.
Do you store the conversation data?
By default, we process data in ephemeral memory. For the 'History' feature in the UI, we store encrypted snapshots. For API users, we offer a 'Zero Retention' mode where data is wiped instantly after the response is sent.
Is this better than RAG (Vector Search)?
For active conversation state, yes. RAG retrieves disjointed chunks based on keyword similarity. Ctxfy maintains the *narrative arc* and *logic* of the conversation, which is crucial for complex coding or reasoning tasks where context interdependence matters.
Which models does it work with?
The output is model-agnostic. We've tested it successfully with GPT-4, Claude 3.5 Sonnet, Gemini 1.5 Pro, and Llama 3. The compression captures semantic meaning, not model-specific tokens.
What is the 'Fast Forward' feature?
Fast Forward allows you to update a compressed state without re-processing the entire conversation. For example, if you have a 'State Object' representing a codebase, and you change a file, you can POST the file diff to `/v1/fast-forward`. We intelligently merge this new context into the existing state, giving the LLM the latest information instantly.
Join thousands of developers and pros using Ctxfy to manage state and save money.
