Semantic code search for AI agents via Model Context Protocol
Project description
AgentBeacon
Semantic code search for AI agents via Model Context Protocol (MCP). Helps AI coding assistants find relevant code patterns in large codebases.
Goals
- Fast semantic search in 10M+ line codebases
- LLM-enhanced pattern discovery and reuse
- Reduce AI agent context blindness
Status
Early development phase.
License
This project is licensed under the MIT License - see the LICENSE file for details.
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file agentbeacon-0.1.0.tar.gz.
File metadata
- Download URL: agentbeacon-0.1.0.tar.gz
- Upload date:
- Size: 2.4 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: uv/0.8.3
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
62938a6d16ceaa5521d9f13ef334bf1dceb0973ae82a6ac028cfa3806a154510
|
|
| MD5 |
941db818db9b4a8fd5618b39437c122e
|
|
| BLAKE2b-256 |
c4830ceb6f40b91562c29f828fed79700a4d5a4973adfb6d0ea0b3f0af340469
|
File details
Details for the file agentbeacon-0.1.0-py3-none-any.whl.
File metadata
- Download URL: agentbeacon-0.1.0-py3-none-any.whl
- Upload date:
- Size: 2.9 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: uv/0.8.3
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
cfaef07c0d86fe71f6d260c32c24935d66780c4d86552c7c2e73de601b533e15
|
|
| MD5 |
c35e175e1fbca6f8225efe2b69c5636f
|
|
| BLAKE2b-256 |
a97f06ddc03be941a6cd992adf76ccbb4b635dca9b1a6b095bb41f3bd2b246a9
|
