rohitg00/agentmemory

for project: oss-digest · https://github.com/rohitg00/agentmemory
# rohitg00/agentmemory

**URL:** https://github.com/rohitg00/agentmemory
**One-liner:** Agentmemory provides persistent memory for AI coding agents via MCP, hooks, and a REST API, with confidence scoring, knowledge graphs, and hybrid search.
**Relevance to oss-digest:** high (85/100)
**Integration:** depend-on-it

## Summary
Persistent memory for AI coding agents that enables agents to remember across sessions with confidence scoring and knowledge graphs.

## Why it's useful here
oss-digest's AI agent currently runs DeepSeek analyses without persistent memory; integrating agentmemory would allow it to remember past digests, avoid re-analyzing the same repo, and build a knowledge graph of topics and trends over time.

## Suggested use
Import agentmemory as an MCP server or use its npm library to store and retrieve analysis results, confidence scores, and relationships between repos.

## Novelty / why now
Combines Karpathy's LLM Wiki pattern with production-grade features (confidence scoring, lifecycle, knowledge graphs) and zero external database dependencies.

## Risks
Very new repo (77 days) with aggressive star growth; single maintainer (rohitg00); may have unstable API or future breaking changes; verify compatibility with your Next.js version.

## Safety scan
- Risk level: **low**
- Stars: 6575 (age 77d, 85.39 stars/day)
- Last push: 0 days ago
- Contributors: 13
- License: Apache-2.0
- Postinstall hooks: none
- Suspicious patterns: none
- Notes: (none)

### Reviewer safety notes
Low risk - no suspicious patterns, no postinstall hooks, Apache-2.0 license. However, the repo is very new (77 days) with rapid star growth (6.5k), which could indicate hype; evaluate stability and long-term maintenance.