AI Tool

chat-recall Review

chat-recall is a privacy-first tool that unifies, searches, and manages conversation history from various AI coding assistants securely on the user's device.

shipped Sep 11, 2026freemium

Why it matters

1Processes and organizes AI chat history securely on the user's device, removing sensitive information locally.

2Offers a freemium model with a Pro tier at $10/month and usage pricing at $0.003/request.

3Supports platforms including Web, Desktop, and API, with a GitHub repository available.

4Compliance includes user content retention while workspace exists, then deletion within 30 days, with operational logs retained for 30 days.

About chat-recall

Business Model

Freemium SaaS

Usage Pricing

$0.003/request per access

Free Credits

30 free requests/month

Founded

2021

Team Size

10-50

Funding

Seed

Total Raised

$500,000

Platforms

Web, Desktop, API

Target Audience

Teams using AI coding tools

Pricing Plans

Free

• Searchable AI chat history
• Private data handling
• No sensitive information sent externally

Pro

$10/mo

• Advanced search features
• Priority support
• Access to upcoming features

Cost Examples

• Search 100 messages: ~$0.30
• Retrieve a full chat: ~$0.10

Investors

Investor A, Investor B, Investor C

API Docs GitHubOpen Source

Specs

GitHub

View Repository →

overview

What is chat-recall?

chat-recall is a AI chat history management tool that enables developers and teams to transform their AI conversations into searchable history. It processes and organizes previous chats securely on the user's own device, removing sensitive information before any data leaves the computer, ensuring user privacy. The tool addresses the fragmentation of AI chat histories across different coding assistants like Claude Code, Codex, Cursor, and OpenCode, consolidating them into a single, searchable repository.

features

Key Features of chat-recall

chat-recall provides a suite of features designed to enhance the management and security of AI conversation histories, particularly for developers and teams utilizing multiple AI coding assistants. Its core functionality revolves around local processing and robust search capabilities.

Secure processing on user device, ensuring data privacy by handling information locally.
Searchable chat history across all past conversations with AI assistants.
Automatic password removal from chat histories before data leaves the computer.
Multi-tool support for consolidating records from various AI coding assistants (e.g., Claude Code, Codex, Cursor, OpenCode).
Flexible project configurations for organizing different AI interactions.
Identification and management of leaked credentials or secrets in chat history.
Syncing AI chat history across multiple devices for consistent access.
API documentation available at https://chatrecall.dev/api-docs for programmatic access.

use cases

Who Should Use chat-recall?

chat-recall is primarily designed for professionals and teams who frequently interact with AI assistants, especially in development and technical roles. Its features cater to specific needs related to knowledge management, security, and collaboration.

Teams using AI assistants: For organizing team brainstorming sessions, managing ongoing AI projects, and tracking developer notes and feedback.
Developers: For searching across all past conversations with AI assistants, identifying and managing leaked credentials or secrets in chat history, and automating bug tracking and task creation from AI interactions.
Professionals using multiple AI tools: For seamlessly transitioning between different AI assistants with preserved context and syncing AI chat history across multiple devices.

how to use

How to Use chat-recall

To begin using chat-recall, users typically install the application and configure it to monitor their local AI chat history files. The tool then automatically processes and indexes these conversations for search and management.

1Download and install the chat-recall application for Web or Desktop platforms.
2Configure the application to access local chat history files from supported AI coding assistants (e.g., Claude Code, Codex, Cursor).
3Utilize the search interface to query past conversations and retrieve specific information.
4Review identified sensitive information, such as leaked credentials, and take appropriate action.
5Leverage the API for programmatic integration and advanced workflow automation.

pricing

chat-recall Pricing & Plans

chat-recall operates on a freemium business model, offering a free tier alongside a paid 'Pro' subscription. Usage-based pricing applies for certain access requests, providing flexibility for different user needs.

Free: Includes 30 free requests/month.
Pro: $10/month, offering enhanced features and higher limits.
Usage Pricing: $0.003/request per access. For example, searching 100 messages costs approximately $0.30, and retrieving a full chat costs approximately $0.10.

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Pros

+Processes and stores AI chat history securely on the user's local device, enhancing privacy.
+Automatically removes sensitive information, such as passwords, before any data leaves the computer.
+Consolidates and makes searchable chat histories from multiple AI coding assistants (e.g., Claude Code, Codex, Cursor).
+Includes a unique feature for identifying and checking for leaked API keys or credentials in past conversations.
+Offers a freemium model with a clear pricing structure for Pro features and usage-based access.
+Provides an API for integration and automation, supporting advanced workflows.

Cons

−Primarily focused on AI coding assistants, which may limit its utility for general AI chat users.
−Requires local installation and configuration, which might be less convenient than purely cloud-based solutions for some users.
−The free tier has a limit of 30 requests per month, which may be restrictive for heavy users.
−While it syncs history across devices, the core processing remains local, potentially requiring consistent setup on each device.
−The tool's effectiveness is dependent on its ability to parse and integrate with the specific local file formats of various AI assistants.

Policies

Pricing Page

View Pricing→

Similar Tools

chat-recall vs Competitors

chat-recall distinguishes itself in the market by focusing on privacy-first, local processing of AI coding assistant chat histories. While other tools offer similar functionalities, chat-recall's emphasis on security and developer-specific needs provides a unique value proposition.

Chat Memo↗

Automatically saves and organizes AI conversations from multiple platforms into a browsable card-style inbox with full-text search and local storage.

Similar to Chat Recall in its local-first, auto-saving, and multi-platform approach, but its primary interface is a browsable card-style inbox within the browser, whereas Chat Recall is a desktop app.

LLMnesiaOn Stork

Focuses on search-first retrieval across multiple AI platforms, with results linking directly back to the original live conversation.

Offers a free local-first search experience similar to Chat Recall's core function, but its paid tier focuses on cross-device sync and backup rather than advanced local processing or sensitive data removal.

AI Chat Conversation History Search↗

Provides local full-text search across ChatGPT, Claude, and Gemini history directly within the browser, with a focus on privacy by keeping the search index on your device.

Very similar to Chat Recall in its local, privacy-focused search of AI conversations, but it's a browser extension rather than a desktop app, and its free tier has a time limit on searchable history.

MyChatArchive↗

A self-hosted tool for semantic search across AI chat history, generating vector embeddings locally and storing everything in a single SQLite file.

Unlike Chat Recall's automatic capture, MyChatArchive requires importing chat exports, adding a manual step to the workflow. However, it offers robust local semantic search and full control over your data as a self-hosted, open-source solution.

See every chat-recall alternative, compared→

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GitHubgithub.com/munhq/chat-recall