Infinite Runtime for Autonomous Agents
Context overflow is the #1 cause of agent failure. Integrate Ctxfy as a 'Memory Garbage Collector' to keep your agents running forever without losing IQ.
Compatible with LangChain, LangGraph, AutoGPT
The 'Context Crash' Reality
The Recursive Summary Pattern
Turn linear history into a sustainable loop. When context fills, compress the tail into a dense 'State Object' and continue.
Active Memory Management
Think of Ctxfy as a Garbage Collector (GC) for your context window. It cleans up noise while keeping references to important variables.
Stable Latency
Raw history makes every subsequent request slower. Compressed state keeps your Time-To-First-Byte (TTFB) flat and fast.
Recursive Intelligence
The model summarizes its own progress. State v2 includes State v1, creating a chain of memory that can span millions of tokens.
async function runAgentLoop() {
let history = [];
while (true) {
const action = await agent.act(history);
history.push(action);
if (countTokens(history) > 10000) {
// POST /v1/spaces/:spaceId/sources with type CONTENT
const res = await fetch(`/v1/spaces/${spaceId}/sources`, {
method: "POST",
body: JSON.stringify({ type: "CONTENT", initial_data: { data: formatHistory(history) }, instructions: {} })
});
const { data } = await res.json();
// Receive postback with processed source content
const state = await waitForPostback(data.id);
history = [{ role: 'system', content: state.content }];
}
}
}Copy this pattern into your agent's main loop.
Related features
Resume in 30 Seconds
Your job: get back to productive work. Ctxfy turns 2 hours of re-reading into one paste. Load the minimal state you need—no full history. Works with ChatGPT, Claude, Gemini, and any AI tool.
Find Any Code or Decision
Your job: reuse what you already created. Stop losing 15 minutes scrolling. Ctxfy extracts code, schemas, and decisions—searchable when you need them.
Maintain Consistency
Keep AI aligned with your architectural rules and constraints across long projects
Frequently asked questions
Minimal information loss occurs. Our algorithm is tuned to preserve 'Hard State' (decisions, file paths, variable values) and discard 'Soft State' (chit-chat, reasoning steps).
Processing runs asynchronously. Create a source and receive a postback with the processed content when ready. See the documentation for details.
Yes. The API is REST-based. Use POST /v1/spaces/:spaceId/sources with type CONTENT. See the API Reference for integration patterns.
Build agents that never sleep.
Stop restarting your runs. Start managing your state.