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AiScribe - Store your ai coding session Review

AiScribe captures git diffs and full AI conversations, linking coding decisions to specific chat turns, and operates as an open-source, local-first tool.

shipped Aug 17, 2026free
Monthly visits2/mo
AiScribe - Store your ai coding session — product screenshot

Why it matters

1AiScribe is an open-source command-line interface (CLI) tool, MIT licensed, with active development on GitHub as of August 9, 2026.
2It supports integration with various AI models including OpenAI (GPT-4o, GPT-4o-mini), Claude (Sonnet, Opus), DeepSeek, Ollama, and over 200 models via OpenRouter.
3The tool captures git diffs, full AI conversations, and generates summaries, allowing export of sessions for fine-tuning local LLMs.
4AiScribe operates locally, requiring no API key for its core functionality, ensuring data privacy.

About AiScribe - Store your ai coding session

Business Model
Open Source
Platforms
Web, Local command line
Target Audience
AI-native developers
GitHubOpen Source

Specs

API Docs

View Documentation →

GitHub

View Repository →

API Available

Yes, public API

Screenshots

overview

What is AiScribe - Store your ai coding session?

AiScribe - Store your ai coding session is an AI coding session management tool developed by aiagentflow that enables software developers to record, summarize, and manage their AI coding sessions. It captures git diffs and full AI conversations, linking every decision back to the exact chat turn that caused it, and functions as an open-source, local-first solution.

This command-line interface (CLI) tool addresses the challenge of retaining context and decisions made during AI-assisted development. It stores session data locally, providing a 'second brain' for developers. AiScribe was launched on Peerlist in August 2026 and is actively maintained on GitHub under an MIT license. It supports a range of AI models, including OpenAI's GPT-4o and GPT-4o-mini, Claude's Sonnet and Opus, DeepSeek, Ollama, and over 200 models through OpenRouter, all without requiring external API keys for its core local operations.

features

Key Features of AiScribe - Store your ai coding session

AiScribe - Store your ai coding session provides a suite of features designed to enhance the management and analysis of AI-assisted coding workflows. Its core functionality revolves around capturing and contextualizing development sessions.

  • Captures git diffs and the complete AI conversation (prompts and responses) for each coding session.
  • Links specific coding decisions and changes directly to the exact AI chat turn that influenced them.
  • Operates as an open-source tool, requiring no external API keys for local execution and ensuring data privacy.
  • Supports integration with a diverse range of AI models, including DeepSeek, OpenAI (GPT-4o, GPT-4o-mini), Claude (Sonnet, Opus), Ollama, and over 200 models via OpenRouter.
  • Enables semantic search of past sessions by meaning, utilizing vector embeddings for efficient retrieval.
  • Allows exporting coding sessions in AI-compatible formats for training and fine-tuning local Large Language Models (LLMs).
  • Generates summaries of what changed in a session, including files, insertions, deletions, and risk levels.
  • Tracks session history and changes, providing a structured record of project evolution.
  • Offers multimodality support for text-based interactions.
  • Provides an API for developers to integrate AiScribe's capabilities into custom workflows, with documentation available at https://agenticflow.ai/docs/developers/api-reference.

use cases

Who Should Use AiScribe - Store your ai coding session?

AiScribe - Store your ai coding session is primarily designed for software developers who utilize AI coding tools and require robust methods for documenting, analyzing, and leveraging their AI-assisted development processes. Its capabilities cater to individuals and teams focused on maintaining context and improving AI model performance.

  • Software Developers using AI Coding Tools: To store and summarize AI coding sessions, capturing git diffs and AI conversations for future reference and context generation.
  • Developers Aiming for LLM Fine-tuning: To export coding sessions as training data, enabling the fine-tuning of local LLMs based on personal coding style and decisions.
  • Teams Requiring Enhanced Code Review & Handoffs: To generate context for AI-generated code, facilitate quicker developer onboarding, and provide a structured history for code reviews and project handovers.
  • Developers Concerned with Data Privacy: To utilize a local-first, open-source tool that keeps all coding session data on their machine, avoiding cloud-based processing of sensitive code.
  • Researchers and Practitioners in AI Development: To analyze codebase changes and AI summaries, identifying patterns and 'hotspots' in AI-driven development workflows.

how to use

How to Use AiScribe - Store your ai coding session

AiScribe - Store your ai coding session is a command-line interface (CLI) tool designed for local operation, offering a straightforward setup and usage process. It integrates with various AI models to capture and manage coding sessions.

  • 1Installation: Install AiScribe via its designated package manager or by cloning its GitHub repository (https://github.com/aiagentflow/aiscribe) and following the setup instructions.
  • 2Configuration: Configure the tool to connect with your preferred local or remote AI models (e.g., Ollama, OpenAI, Claude, DeepSeek, OpenRouter) without requiring API keys for local models.
  • 3Start a Session: Initiate an AI coding session using a single command, which begins capturing git diffs and AI conversations automatically.
  • 4Interact with AI: Engage in your coding workflow, prompting the AI and receiving responses, with AiScribe recording every interaction.
  • 5End and Summarize Session: Conclude the session, allowing AiScribe to generate a summary of changes, including files, insertions, deletions, and risk levels.
  • 6Review and Export: Access past sessions for review, perform semantic searches, and export session data for purposes such as training custom LLMs or documentation.

pricing

AiScribe - Store your ai coding session Pricing & Plans

AiScribe - Store your ai coding session is available as a free, open-source tool. Its MIT license allows for broad usage and modification without any associated costs for its core functionality. There are no tiered pricing plans or subscription fees for the AiScribe CLI.

  • AiScribe: Free (Open-source, MIT licensed)

Pros

  • +Automatically links AI conversations to specific git diffs, providing granular context for code changes.
  • +Operates as an open-source, local-first tool, ensuring data privacy and control over sensitive code and AI interactions.
  • +Supports a wide array of AI models, including local options like Ollama and over 200 models via OpenRouter, offering flexibility.
  • +Enables the export of coding sessions as training data, facilitating the fine-tuning of personal LLMs.
  • +Generates comprehensive session summaries, including files changed, insertions, deletions, and risk levels.
  • +Facilitates knowledge retention and developer onboarding by creating a searchable, structured history of AI-assisted development.

Cons

  • −As a CLI tool, it may have a steeper learning curve for developers unfamiliar with command-line interfaces.
  • −Requires local setup and management, which might be less convenient than cloud-based, zero-configuration solutions for some users.
  • −The focus on session journaling means it does not provide real-time code completion or generation features like dedicated AI coding assistants.
  • −While it supports many models, the quality of session summaries and insights is dependent on the capabilities of the integrated LLM.

Similar Tools

AiScribe - Store your ai coding session vs Competitors

AiScribe - Store your ai coding session differentiates itself in the AI development ecosystem by focusing on the comprehensive journaling and analysis of AI coding sessions, rather than just code generation or general AI chat. Its local-first, open-source nature provides a distinct advantage in privacy and control.

1
Open WebUIOn Stork

Provides a user-friendly web interface for interacting with local LLMs (like Ollama) and maintains a persistent chat history.

While it stores your AI conversations locally and freely, it does not automatically capture or link these conversations to your git diffs. You would need to manually correlate your code changes with your chat history.

2
LM StudioOn Stork

A desktop application that allows you to discover, download, and run local LLMs on your computer, offering a chat interface with history.

LM Studio provides a robust environment for local AI interaction and history, but it lacks the automatic integration with git diffs that AiScribe offers, requiring manual effort to link AI decisions to code changes.

3
JanOn Stork

An open-source desktop application that runs local LLMs and provides a clean chat interface with conversation history and offline capabilities.

Jan excels at providing a free, local, and open-source platform for AI conversations with history, but it does not automatically capture or link your AI interactions to specific git diffs, which is a core feature of AiScribe.

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GitHubgithub.com/aiagentflow/aiscribe