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Agent Memory & RAG

Rekal

Rekal is a Go command-line tool that captures AI coding-session context at Git commits, stores it in a repository and lets agents retrieve the reasoning behind earlier decisions, including rejected approaches.

Explore the practical guide ↓

Independent OpenViST project profile, based on linked sources.

Rekal — OpenViST project profile in Agent Memory & RAG.
OpenViST project illustration. See the linked sources for product details.
Understand the project

Practical overview

When it fits

Use Rekal when an AI coding workflow needs persistent, repository-local context about decisions across sessions, or when a team wants that context to follow merged work through Git.

Who it is for

  • Developers using AI coding agents who want to retrieve the reasoning behind earlier code changes.
  • Teams that want relevant coding-session context to travel with merged repository work through Git.

Documented uses

  • Recall why a past implementation decision was made.
  • Find approaches already tried and rejected before proposing them again.
  • Share coding-session context with teammates through normal Git push and fetch workflows.
Before you choose

Requirements & limits

The README says no account or memory service is required. Listed prerequisites are Git and macOS on Apple Silicon or Linux on x86-64 or arm64.

  • Memory is stored in the repository and shared with teammates through existing Git push and fetch operations.
  • Indexing and embeddings are described as local; the README says recall works offline.
  • The documented shell setup initializes memory per repository, while the Claude Code route includes machine-level installation.
  • The README describes a bundled binary of approximately 170 MB to download and 200 MB on disk.

Check current requirements in the official documentation. Source-based guidance does not mean OpenViST has run or independently tested this project.

Source-based practical guide

Set up repository memory from a shell

Install Rekal, initialize it in a repository, and follow the documented commit-and-recall workflow.

Before you start

  • Git
  • macOS on Apple Silicon or Linux on x86-64 or arm64
  • A repository to initialize

Steps

  1. Install the Rekal binary using the documented install script or download a release binary.

  2. Change to the project repository and run rekal init.

  3. Commit work as usual; Rekal captures the associated AI coding-session context at commits.

  4. In a later session, ask Rekal a question about an earlier decision.

Expected outcome

Session context is stored in the repository for later agent recall, and merged work can travel to teammates through Git push and fetch.

Guide limitations

  • The README describes a command-line workflow and lists macOS Apple Silicon and Linux x86-64 or arm64 as requirements.
  • The binary is described as approximately 170 MB to download and 200 MB on disk.
Documentation 1 ↗
Evidence and transparency

Sources & review

Official repository ↗
Source record details
Source availability
Active
Sources checked
14 October 2026
Original website title
rekal-dev/rekal-cli · Official homepage title · retained in its source language
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