plur-hermes 0.6.0

PLUR persistent memory plugin for Hermes Agent

plur-hermes

Persistent memory plugin for Hermes Agent. Your agent corrected on Monday remembers on Tuesday.

Install

pip install plur-hermes

That's it. The plugin is auto-discovered by Hermes on startup. No other install needed.

What happens

Once installed, PLUR runs invisibly in the background:

• Every turn: relevant memories are injected into the agent's context (via pre_llm_call hook)
• Every response: corrections and insights are captured automatically (via post_llm_call hook)
• Every session: episodes are recorded to a timeline (via on_session_end hook)

The agent also gets 16 tools it can call explicitly:

Tool	What it does
plur_learn	Store a correction, preference, or pattern
plur_recall	Search memories by topic
plur_inject	Get relevant context for a task
plur_list	List all stored engrams
plur_forget	Retire outdated knowledge
plur_feedback	Rate a memory (trains what surfaces next time)
plur_capture	Record an episode
plur_timeline	Query past episodes
plur_status	Health check
plur_sync	Cross-device sync via git
plur_packs_list	List installed knowledge packs
plur_packs_install	Install a community knowledge pack
plur_extract_meta	Distill cross-domain principles from your memories
plur_meta_engrams	List extracted meta-engrams
plur_meta_submit_analysis	Continue multi-turn extraction
plur_validate_meta	Test a principle against a new domain

How it works

Knowledge is stored as engrams — small assertions that strengthen with use and decay when irrelevant. Storage is plain YAML on disk at ~/.plur/. Search is fully local (BM25 + embeddings). Zero API calls, zero cloud, works offline.

The plugin calls the PLUR CLI under the hood via subprocess. If the CLI isn't installed globally, it auto-resolves via npx on first use (cached after that).

What makes PLUR different from Hermes built-in memory

Hermes has MEMORY.md (2,200 chars) and session search (FTS5). PLUR adds:

• Feedback-trained retrieval — rate memories, good ones surface more, bad ones fade
• Forgetting — retire outdated knowledge instead of growing forever
• Hybrid search — BM25 + local embeddings + Reciprocal Rank Fusion
• Cross-device sync — git-based, works across machines
• Meta-engram extraction — distill transferable principles across domains
• Knowledge packs — share curated engrams between agents

PLUR sits alongside Hermes memory, not replacing it. Your MEMORY.md and USER.md continue to work as before.

Configuration

The plugin works with zero configuration. Optional env vars:

Variable	Default	Description
PLUR_PATH	~/.plur	Storage directory
PLUR_INJECT_MODE	fast	Set to hybrid for embedding-based injection (slower, more accurate)

Requirements

• Hermes Agent v0.5.0+
• Python 3.10+
• Node.js 18+ (for CLI, auto-resolved via npx if not installed globally)

Links

• PLUR.ai
• GitHub
• @plur-ai/cli — standalone CLI
• @plur-ai/mcp — MCP server for Claude Code, Cursor, Windsurf
• @plur-ai/claw — OpenClaw plugin

License

Apache-2.0