lore
**Coding agent harness.** ![Platforms]() Lore wraps your coding agent in a harness — persistent memory, rule enforcement, orchestrated delegation, and work tracking. Your agent starts every session knowing your project instead of starting over. Plain files, git-versioned, zero runtime dependencies. Then open a session in your editor: | Platform | Command | |----------|---------| | Claude Code | | | Gemini CLI | — loads foundational mandates from | | Cursor | Open the project — hooks activate ...
| Entity Passport | |
| Registry ID | gh-tool--lorehq--lore |
| Provider | github |
Cite this tool
Academic & Research Attribution
@misc{gh_tool__lorehq__lore,
author = {lorehq},
title = {lore Tool},
year = {2026},
howpublished = {\url{https://github.com/lorehq/lore}},
note = {Accessed via Free2AITools Knowledge Fortress}
} 🔬Technical Deep Dive
Full Specifications [+]▾
Quick Commands
git clone https://github.com/lorehq/lore npm install lore ⚖️ Nexus Index V2.0
💬 Index Insight
FNI V2.0 for lore: Semantic (S:50), Authority (A:0), Popularity (P:0), Recency (R:0), Quality (Q:0).
Verification Authority
📋 Specs
- Language
- JavaScript
- License
- Open Source
- Version
- 1.0.0
Usage documentation not yet indexed for this tool.
🔗 View Source Code ↗Technical Documentation
Lore
Coding agent harness.
Lore wraps your coding agent in a harness — persistent memory, rule enforcement, orchestrated delegation, and work tracking. Your agent starts every session knowing your project instead of starting over. Plain files, git-versioned, zero runtime dependencies.
Quick Start
npx create-lore my-project
cd my-project
Then open a session in your editor:
| Platform | Command |
|---|---|
| Claude Code | claude |
| Gemini CLI | gemini — loads foundational mandates from GEMINI.md |
| Cursor | Open the project — hooks activate via .cursor/hooks.json |
| Windsurf | Open the project — loads context from .windsurfrules |
| Roo Code | Open the project — loads context from .clinerules |
| OpenCode | opencode |
No configuration needed. Your first session gets a full context banner immediately.
What You Get
Sessions accelerate instead of resetting. The harness loads your project identity, rules, active work, available agents, and a map of everything your agent knows at session start. No re-explaining.
Semantic search and a live docs UI — highly recommended. Tell your agent to start the docs sidecar — it pulls the Docker image, configures ports, and launches semantic search over the full knowledge base plus a live MkDocs site. Without Docker, agents fall back to Grep/Glob search.
Snags, gotchas, quirks become fieldnotes that persist. When your agent hits an API quirk, an encoding edge case, or a deployment snag, the harness captures that as a fieldnote. That fieldnote loads in every future session. The mistake happens once, the fix persists.
Rules are enforced, not just documented. Your coding standards, docs rules, and security policies are injected before every file write. The agent sees the relevant rules right when it matters.
One knowledge base, every platform, every repo. Capture a fieldnote in Claude Code — it's available in Cursor and OpenCode. Link repos to one hub — they all share the same knowledge. No copying, no drift. See it in action.
Complex work delegates to focused workers. The harness orchestrates delegation: when work benefits from a fresh context window, it spawns workers loaded with curated skills and rules. Compound tasks split across parallel workers for maximum throughput.
Before / After
Without a harness — Every session starts cold. You re-explain your project, the agent re-discovers API quirks, makes the same mistakes, and yesterday's debugging session is gone.
With Lore — The agent knows your project. Fieldnotes from last week load automatically. Rules are enforced at write-time. Active roadmaps surface at startup. Complex work delegates to focused workers.
How It Works
Lore is a harness built from markdown files, hooks that shape agent behavior, and scripts that keep everything consistent.
- Fieldnotes (
.lore/fieldnotes/) — Snags and patterns captured from real work. Available on-demand in every session. - Skills (
.lore/skills/) — Procedural capabilities and reusable commands. - Agents (
.lore/agents/) — Worker agents for delegated tasks, loaded with relevant skills and fieldnotes per-task. - Docs (
docs/) — Project context, rules, environment knowledge, runbooks, and work tracking. - Hooks (
.lore/harness/hooks/,.cursor/hooks/,.opencode/plugins/) — Inject context at session start, enforce rules before writes, nudge knowledge capture during work. - Scripts (
.lore/harness/scripts/) — Platform sync, validation, nav building.
All hooks are plain JavaScript you can read in minutes. They don't make network requests, execute shell commands, or access anything outside your project directory.
Working Across Repos
Tell your agent to link work repos to the hub — it generates configs so hooks fire from the hub even when you open the work repo directly. One hub, many repos, shared knowledge. See the cross-repo guide.
Commands
| Command | What it does |
|---|---|
/lore-capture |
Review session work, capture fieldnotes, update registries, validate consistency |
/lore-consolidate |
Deep health check — stale items, overlaps, knowledge drift |
/lore-link <path> |
Link a work repo to this hub |
/lore-docker |
Start/stop the local Docker sidecar — semantic search + live MkDocs UI |
/lore-field-repair |
Diagnose and fix a harness bug in source |
Platforms
| Platform | Integration | Maturity |
|---|---|---|
| Claude Code | Hooks + CLAUDE.md |
Supported |
| Gemini CLI | Hooks + MCP + GEMINI.md |
Supported |
| Cursor | Hooks + MCP server + .mdc rules |
Experimental |
| Windsurf | .windsurfrules file |
Experimental |
| Roo Code | .clinerules + MCP |
Experimental |
| OpenCode | ESM plugins + opencode.json |
Experimental |
All platforms share the same knowledge base. Skills, fieldnotes, agents, and rules written once sync to platform-specific formats automatically.
Documentation
Full docs: lorehq.github.io/lore-docs
Contributing
See CONTRIBUTING.md for development setup and guidelines.
Security issues: see SECURITY.md.
License
Social Proof
AI Summary: Based on GitHub metadata. Not a recommendation.
🛡️ Tool Transparency Report
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🆔 Identity & Source
- id
- gh-tool--lorehq--lore
- source
- github
- author
- lorehq
- tags
- aiai-agentclaudecoding-agentcursordeveloper-toolsframeworkknowledge-managementopencodeharness-engineeringjavascript
⚙️ Technical Specs
- architecture
- null
- params billions
- null
- context length
- null
- pipeline tag
- other
📊 Engagement & Metrics
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- github stars
- 16
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