isaachinman/encephalon
Durable, repository-local memory for coding agents, stored as Git-mergeable JSON and indexed by SQLite for fast search.
Star History
Add Live Star History & Verified Badges to README.md
Keep your repository README looking professional and dynamic. As our continuous crawler records new stars, these official SVG badges update in real time with zero maintenance.
Renders your high-resolution star trajectory chart right inside your GitHub README or project docs.
[](https://githubrepo.cloud/repo/isaachinman/encephalon?utm_source=readme_chart)Compact Shields-style badges for your README header. Shows real-time stars and global ranking.
[](https://githubrepo.cloud/repo/isaachinman/encephalon?utm_source=readme_badge) [](https://githubrepo.cloud/repo/isaachinman/encephalon?utm_source=readme_badge) [](https://githubrepo.cloud/repo/isaachinman/encephalon?utm_source=readme_badge)Momentum
+10
STARS · LAST 30 DAYS
1
PER DAY
#1,426
MOST-STARRED TypeScript
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +7 | +10 | +90 |
| Per day | 1 | 1 | 1 |
| Forks gained | +1 | +3 | +10 |
encephalon gained 10 stars in the last 30 days, about 1 a day, and now has 137. It is about 1 year old and has averaged roughly 137 stars a year. It ranks #1,426 among TypeScript repositories and #13,199 across all languages on GitHubRepo.
Trending Record
4
DAYS ON TRENDING
#11914
BEST RANK
Oct 9, 2026
FIRST APPEARANCE
Active
STATUS TODAY
encephalon has maintained a continuous presence across global trending indexes, peaking at #11914. Below is the 30-day activity profile:
💡 Overview
encephalon is an open-source project written in TypeScript: Durable, repository-local memory for coding agents, stored as Git-mergeable JSON and indexed by SQLite for fast search.
Engineered for speed, consistency, and developer ease, it solves common hurdles in ai, brain, memory. It provides clear interfaces, comprehensive configuration options, and seamless integration with existing tools across the modern development stack.
⚡ Key Features
Optimized execution pipeline written in TypeScript for predictable speed.
Zero-friction configuration with comprehensive sensible defaults out of the box.
Cross-platform runtime support across Linux, macOS, and Windows environments.
Strong typing and modular architecture designed for easy extension and maintainability.
Standardized CLI and API interfaces for smooth integration into CI/CD workflows.
Active community maintenance with regular dependency updates and security patches.
📥 Installation
$ npm install encephalon⚙ System Requirements
Platforms
- • macOS
- • Linux
- • Windows
Runtime & Dependencies
Node.js >= 18, npm, pnpm or bun
Architecture
x86_64, ARM64 (Apple Silicon & Graviton)
🧠 How It Works
encephalon coordinates its core functionality through a modular TypeScript pipeline. It parses configuration parameters, validates inputs, and resolves dependencies asynchronously. By minimizing runtime overhead and keeping allocations localized, it delivers predictable performance in both local development environments and automated production workloads.
🎯 Production Use Cases
Autonomous AI Agents
Orchestrate intelligent workflows and tool-calling routines with encephalon.
Model Inference & Prompting
Integrate fast, local or cloud-hosted generative AI models directly into production code.
Context Memory & RAG
Augment language models with dynamic vector retrieval and structured project memory.
Developer Productivity
Automate repetitive engineering tasks, code generation, and test creation using AI agents.
🚀 Getting Started
Install encephalon using your package manager: `npm install encephalon`
Initialize your project workspace or configuration file for encephalon.
Import encephalon into your codebase or invoke it directly from your terminal.
Execute your test suite or run `encephalon --help` to verify successful setup.
👍 Strengths
⚠️ Considerations
⇄ Alternatives & Direct Competitors
👥 Who Should Use This
Developers and engineering teams building with TypeScript, seeking reliable, tested, and actively maintained tooling for production workloads.
🏆 Nearby in the Rankings
isaachinman/encephalon is currently ranked #13,199 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
| Rank | Repository | Language | Stars | Action |
|---|---|---|---|---|
| #13,160 | diodeme/Gold-Band | Rust | ★ 138 | Compare ↗ |
| #13,160 | firslov/asHub | JavaScript | ★ 138 | Compare ↗ |
| #13,160 | zioder/TaskbarQuota | C# | ★ 138 | Compare ↗ |
| #13,160 | slow-stack/mneme | JavaScript | ★ 138 | Compare ↗ |
| #13,160 | Pronexsteam/deviload | JavaScript | ★ 138 | Compare ↗ |
| #13,199 | isaachinman/encephalon This Project | TypeScript | ★ 137 | |
| #13,199 | danwrong/low-pro-for-jquery | JavaScript | ★ 137 | Compare ↗ |
| #13,199 | pat/riddle | Ruby | ★ 137 | Compare ↗ |
| #13,199 | nakajima/sinatras-hat | Ruby | ★ 137 | Compare ↗ |
| #13,199 | dayorbyte/MongoAlchemy | Python | ★ 137 | Compare ↗ |
| #13,199 | seantis/seantis-questionnaire | Python | ★ 137 | Compare ↗ |
Frequently Asked Questions
What does encephalon do? +
Durable, repository-local memory for coding agents, stored as Git-mergeable JSON and indexed by SQLite for fast search.
What language is encephalon written in? +
The primary language is TypeScript. Topics include: ai, brain, memory.
Is encephalon actively maintained? +
Yes, the last recorded push was on Oct 9, 2026 with 4 open issues being tracked.
How many stars does encephalon have? +
encephalon has 137 stars and 3 forks on GitHub.
How does encephalon rank among GitHub repositories? +
With 137 stars, isaachinman/encephalon is ranked #13,199 globally across all repositories tracked on GitHubRepo and #1,426 among TypeScript projects.
What license is encephalon distributed under? +
The repository reports a MIT license. Always verify the repository LICENSE file for legal terms.
