AgentIndex icon
AgentIndex
codex-usage-tracker logo
codex-usage-tracker
★ 196
vs
engrim logo
engrim
★ 299

codex-usage-tracker vs engrim

codex-usage-tracker: Codex Usage Tracker is a local-first tool that provides a dashboard, CLI, and companion plugin for analyzing OpenAI Codex token usage and costs. It reads local log files, indexes usage data into SQLite, and helps developers understand where their credits are being spent.; engrim: Engrim is a universal, local-first SQLite memory engine specifically engineered for autonomous AI coding agents, designed to solve the '200,000-token context window trap'. It provides high-precision, curated episodic working memory, allowing developers to switch between various models and environments on the same codebase without losing architectural decisions or project state.

01

TL;DR

codex-usage-tracker logo
codex-usage-trackerObservability · ★ 196

Track and analyze OpenAI Codex token usage and estimated costs locally without uploading logs.

Read codex-usage-tracker full review →
engrim logo
engrimMemory & Context · ★ 299

Maintaining Project Context Across Agent Sessions: Developers can use Engrim to prevent LLMs from losing architectural decisions, user constraints, or project state when chat sessions are cleared or models are switched.

Read engrim full review →
02

Side-by-Side Comparison

Field
codex-usage-tracker logocodex-usage-tracker
engrim logoengrim
Category
Observability
Memory & Context
Stars
★ 196
★ 299
License
MIT
MIT
Install Command
python -m pip install --user pipx && python -m pipx ensurepath && pipx install codex-usage-tracking && codex-usage-tracker setup
pip install engrim
Updated
1w ago
3w ago
Open Source
Yes
Yes
Website
↗ Visit
↗ Visit
GitHub
↗ GitHub
↗ GitHub
Tags
Codex Usage Tracking, Token Management, Analytics Dashboard
Episodic Memory, LLM Context Management, AI Agents
03

Features

codex-usage-tracker logocodex-usage-tracker
01Local-first dashboard with live refresh and various views (Overview, Calls, Threads, Diagnostics).
02Indexes aggregate usage counters and local content evidence into an SQLite database.
03Provides CLI for summaries, queries, CSV export, and support bundles.
04Companion Codex plugin and skills for conversational usage analysis and waste discovery.
05Supports localized UI text for the dashboard, including Simplified Chinese.
engrim logoengrim
01Precision Working Memory: Replaces raw transcript replay with ~4,000 characters of high-precision, curated episodic memory, injected at boot with zero attention dilution.
02Cross-Model/Agent Compatibility: Provides a universal substrate for memory, allowing decisions made in one agent (e.g., Claude Code) to be visible and usable in others (e.g., Antigravity, Cursor).
03Local-First & Private Storage: Stores all memories locally in a SQLite file (~/.engrim/memory.db) with WAL mode and POSIX 0600 permissions, ensuring 100% privacy with no cloud sync or telemetry.
04Self-Healing Diagnostics: The `engrim doctor --fix` command verifies all hooks and installs portable PATH fallbacks, ensuring reliable operation across machines and OSes without silent failures.
05Hybrid Retrieval & Minder: Employs a hybrid lexical (BM25) and vector (model2vec) search for efficient and relevant memory recall in approximately 30ms.
04

Use Cases

codex-usage-tracker logocodex-usage-tracker
↳Track and analyze OpenAI Codex token usage and estimated costs locally without uploading logs.
↳Identify threads, models, or subagents that consume the most tokens and contribute to unexpected costs.
↳Optimize usage by identifying high-context, low-cache calls and understanding context bloat in long chats.
↳Use the companion Codex skill to converse with usage data, ask questions, and get recommendations for reducing token waste.
engrim logoengrim
↳Maintaining Project Context Across Agent Sessions: Developers can use Engrim to prevent LLMs from losing architectural decisions, user constraints, or project state when chat sessions are cleared or models are switched.
↳Collaborative Multi-Agent Development: Enabling multiple AI coding agents (e.g., Antigravity, Claude Code, Cursor) to work on the same codebase and share a consistent, evolving memory store.
↳Continue-As-Clear Workflow: Allows users to clear their agent's context window at any time, with Engrim automatically re-injecting the active memory pack for seamless continuation without memory loss.
↳Auditing Agent Provenance: Tracking which agent made specific architectural decisions or added facts to the project's memory, enhancing transparency in multi-agent environments.
05

Best For

codex-usage-tracker logocodex-usage-tracker
Hidden Gem
engrim logoengrim
—
FAQ

FAQ

What is the difference between codex-usage-tracker and engrim?
Both codex-usage-tracker and engrim are in the Observability category. codex-usage-tracker has 196 stars, while engrim has 299 stars.
Which is better, codex-usage-tracker or engrim?
The best choice depends on your use case. Choose codex-usage-tracker if Track and analyze OpenAI Codex token usage and estimated costs locally without uploading logs., and engrim if Maintaining Project Context Across Agent Sessions: Developers can use Engrim to prevent LLMs from losing architectural decisions, user constraints, or project state when chat sessions are cleared or models are switched..
Is codex-usage-tracker free or open source?
Yes, codex-usage-tracker is open source on GitHub (MIT).
Is engrim free or open source?
Yes, engrim is open source on GitHub (MIT).
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