About Chronolog
Chronolog is an MCP server published by grc-iit in the AI category: a High-Performance Storage Infrastructure for Activity and Log Workloads.
The repository has 8 stars and 6 forks, with the last commit 15 days ago. Recent commit activity is the strongest signal that reported issues will get attention.
Install
git clone https://github.com/grc-iit/ChronoLogThis server has no ConduID identity, so agent calls to it are not receipted. Pin the version you install and review the source before granting it credentials.
Ask AI
Ask AI about Chronolog
Powered by Claude · Grounded in docs
Security checks
- ✓README presentThe repository ships documentation.
- !Scoped permissionsDoesn't declare a permission scope. Assume it can do anything its process can.
4 checks have not been run yet.
Releases
README
[!IMPORTANT] ChronoLog MCP is now available. Integrate ChronoLog directly with LLMs through our new MCP server for real-time logging, event processing, and structured interactions.
Code - Documentation
Overview
ChronoLog is a distributed, tiered shared log storage system that provides scalable log storage with time-based data ordering and total log ordering guarantees. By leveraging physical time for data distribution and utilizing multiple storage tiers for elastic capacity scaling, ChronoLog eliminates the need for a central sequencer while maintaining high performance and scalability.
The system's modular, plugin-based architecture serves as a foundation for building scalable applications, including SQL-like query engines, streaming processors, log-based key-value stores, and machine learning integration modules.
Key Features
ChronoLog is built on four foundational pillars:
-
Time-Structured Ingestion — Events are chunked and organized by physical time, enabling high-throughput parallel writes without a central sequencer.
-
Tiered & Efficient Storage — StoryChunks flow across fast and scalable storage tiers, automatically balancing performance and capacity.
-
Concurrent Access at Scale — Multi-writer, multi-reader support with zero coordination overhead, optimized for both RDMA and TCP networks.
-
Modular, Extensible Serving Layer — Plugin-based architecture enables custom services to run directly on the log, supporting diverse application requirements.
Use Cases
ChronoLog's flexible architecture supports a wide range of applications:
-
AI & LLM Integration — MCP server for seamless LLM integration with enterprise logging and real-time event processing.
-
Machine Learning & Training — TensorFlow module for training and inference workflows using time-ordered data streams.
-
SQL-like Query Engine — Query and analyze log data with SQL semantics and time-based distribution.
-
Streaming Processor — Real-time event processing and analytics for monitoring, alerting, and data pipelines.
-
Log-based Key-Value Store — Distributed key-value stores with strong consistency guarantees.
For more information, visit chronolog.dev.
Installation
[!NOTE] ChronoLog is designed for deployment on distributed clusters and complex environments. For comprehensive installation guides, configuration details, and deployment strategies, please refer to our detailed documentation on the Wiki.
🐳 Docker Installation
Single-Node Deployment
Pull Docker image:
docker pull gnosisrc/chronolog:latest
Run container interactively:
docker run -it --rm --name chronolog-instance gnosisrc/chronolog:latest
Deploy components:
/home/grc-iit/chronolog_repo/deploy/local_single_user_deploy.sh -d -w /home/grc-iit/chronolog_install/Release
Verify deployment:
pgrep -la chrono
For detailed setup instructions, troubleshooting, and advanced configuration, see: Single-node Docker tutorial
Multi-Node Deployment
Pull Docker image:
docker pull gnosisrc/chronolog:latest
Download deployment script:
wget https://raw.githubusercontent.com/grc-iit/ChronoLog/refs/heads/develop/CI/docker/dynamic_deploy.sh
chmod +x dynamic_deploy.sh
Run default deployment:
./dynamic_deploy.sh -n 7 -k 2 -g 2 -p 2
Verify containers:
docker ps
For detailed setup instructions, troubleshooting, and advanced configuration, see: Multi-Node Docker tutorial
Documentation
Comprehensive documentation and tutorials are available on our Wiki. The documentation covers everything from getting started to advanced configuration and deployment strategies.
📚 Documentation
| Document | Description |
|---|---|
| Getting Started | Introduction and first steps with ChronoLog |
| Installation | Detailed installation guides and requirements |
| Configuration | Configuration options and settings |
| Deployment | Deployment strategies and best practices |
| Client API | API reference and usage examples |
| Client Examples | Code examples and use cases |
| Architecture | System architecture and design principles |
| Plugins | Plugin development and integration |
| Code Style Guidelines | Coding standards and conventions |
| Contributors Guidelines | Guidelines for contributing to ChronoLog |
🎓 Tutorials
| Tutorial | Description |
|---|---|
| Tutorial 1: First Steps with ChronoLog | Get started with your first ChronoLog deployment |
| Tutorial 2: How to run a Performance test | Learn how to benchmark and test ChronoLog performance |
| Tutorial 3: Running ChronoLog with Docker (single-node) | Deploy ChronoLog on a single node using Docker |
| Tutorial 4: Running ChronoLog with Docker (Multi-Node) | Deploy ChronoLog across multiple nodes using Docker |
Collaborators
We are grateful for the collaboration and support from our research and industry partners.
Resources
- Documentation: Visit chronolog.dev for comprehensive documentation and guides
- GitHub Repository: github.com/grc-iit/ChronoLog
- Issues & Support: Report issues or request features on GitHub Issues
- Releases: Check out the latest releases on GitHub Releases
Gnosis Research Center
Illinois Institute of Technology
Advancing the Future of Scalable Computing and Data-Driven Discovery
Connect with us:
🌐 Website • 🐦 X (Twitter) • 💼 LinkedIn • 📺 YouTube • ✉️ Email
README copy captured when this server was indexed; it may lag the repository. The original is authoritative.