# Agent Memory · Keshab0310

> Save 60-90% on LLM token costs with intelligent memory compression. agent-memory automatically compresses tool output into structured observations, shares context across agents via a memory bus, and injects only relevant memory into each prompt — keeping your token budget under control. Features: auto-compression hooks (PostToolUse), token-budgeted context injection (SessionStart), semantic search via FTS5, cross-session persistence, and a token economics dashboard showing compression ratios and

## Facts
- Page: https://tashan.sh/capability/plugin-keshab0310-agent-memory-agent-memory
- tashan id: plugin:keshab0310/agent-memory/agent-memory
- Source: https://github.com/Keshab0310/agent-memory
- Type: plugin
- Category: other
- tashan score: 25.0 / 100
- Adoption: 13.0
- Upkeep: 43.0
- Freshness: 55.0
- Evidence coverage: 84% of the inputs this score can use
- Health: active
- Instruction depth: not yet graded
- GitHub stars: 2
- License: MIT
- Official: no

## Install

```sh
/plugin marketplace add anthropics/claude-plugins-community
/plugin install agent-memory@claude-community
```

## Security audit
Not scanned. We audit npm-published capabilities; this one has no npm package we can resolve, or has not reached the queue. This is not a clean bill of health.

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Measured 2026-09-13 by tashan (https://tashan.sh) from public evidence. Scorer s5.