# link **Category:** 💻 Developer Tools **Repository:** https://github.com/gowtham0992/link **Views:** 0 **Installs:** 0 **Upvotes:** 0 **Directory Page:** https://allmcps.com/mcp/link ## Description Personal knowledge wiki as MCP tools — search, context, graph traversal. ## Claude Desktop Quick Installation Heuristic fallback — verify the package name and runner against the repository README before running it. Uses `npx` (confidence: low): ```json "mcpServers": { "link": { "command": "npx", "args": ["-y","link"] } } ``` ## Documentation & README

Link

Local memory for AI agents.

Link gives Codex, Claude, Cursor, Kiro, VS Code, Copilot, Antigravity, and other local agents the same source-backed memory, stored locally as Markdown.

Website · How it works · Memory · Tools & CLI · Setup · Docs · MCP Registry · PyPI · Homebrew

## What Is Link? Link is an open-source memory layer for local AI agents. Raw sources become an inspectable Markdown wiki. Explicit "remember this" requests become reviewable memories. Agents retrieve compact, source-backed context through the CLI, MCP, official skills, or the local viewer without dumping the whole wiki into a chat window. The wiki is the storage layer. The product is durable memory that stays on your machine, remains readable in plain files, and can be shared across multiple agents instead of locked inside one vendor profile.

lnk recall finds a memory saved in completely different words — matched by meaning, not keywords

Ask in your own words; Link matches by meaning, not keywords. All local, all plain files.

## How It Works Link gives agents four simple moves: 1. **Capture** notes, transcripts, docs, screenshots, and project context in `raw/`. 2. **Structure** source-backed pages under `wiki/`. 3. **Remember** explicit preferences, decisions, facts, and project context as reviewable memory. 4. **Retrieve** compact query packets through the CLI, MCP, official skills, or the local web viewer. Most agent sessions start from zero. You re-explain preferences, repo decisions, project constraints, and why something matters. Link turns that repeated context into local memory agents can query. | Pain | Link's answer | |------|---------------| | Agents forget you between sessions. | Save reviewed preferences, decisions, facts, and project context. | | Notes are private or messy. | Keep raw sources local, then turn them into source-backed Markdown. | | Context windows are expensive. | Return compact query packets with provenance and follow-up actions. | | Memory needs trust. | Every page and memory can be inspected, reviewed, archived, or forgotten. | Link follows Andrej Karpathy's [LLM Wiki pattern](https://gist.github.com/karpathy/442a6bf555914893e9891c11519de94f): keep knowledge outside the chat window, make claims inspectable, and let context compound over time. ## Why Link Is Different Every other agent-memory system stores memory as embeddings in a vector database or as an LLM-extracted graph. Link made four architectural commitments those designs cannot bolt on: 1. **Memory you can read.** Every memory is a plain Markdown file — open it, grep it, git-diff it. If Link disappeared tomorrow, your memory is still yours. 2. **Review-gated writes.** Agents propose; you approve. Even the automatic session hooks capture proposals, never facts. 3. **No LLM in the memory layer.** Ingestion and recall are deterministic — nothing can hallucinate a fact into your memory, because there is no model in the write path. 4. **Provably local.** CI blocks outbound network code in the runtime, and the optional semantic models load offline-only after one explicit setup. And the claims are measured, not asserted — see the benchmarks below. Named comparisons against Mem0/OpenMemory, Zep/Graphiti, and Letta: [Why Link?](https://gowtham0992.github.io/link/why-link.html) ## Benchmarks Plain files with no LLM in the memory layer, measured against the systems that have one everywhere: | What | Link | For comparison | |---|---|---| | **LoCoMo end-to-end QA** — full 1,540 questions under [mem0's own open harness](https://github.com/mem0ai/memory-benchmarks) | **84.8%** | mem0's cloud platform: **83.2%** under the same judge — with GPT-5 writing their answers and a budget model (claude-haiku-4-5) writing Link's. Confirmed by a second, independent judge (Tencent Hunyuan 3): **85.5% vs 83.6%** | | **LongMemEval evidence retrieval** — did the memory layer put the gold evidence in context? (deterministic, no LLM judge) | **99.4%** of 500 questions | of 102 answer failures, only 3 were retrieval misses — the rest happened with the evidence already retrieved | | **Memory hygiene** — junk stored over a simulated multi-month session stream | **0%** (by construction, CI-enforced) | the same pipeline with governance off: 36.5% | | **Memory poisoning** — 18 authored prompt-injection attacks on the capture pipeline (guardrail bypass, exfil conventions, credential planting, spoofed approvals, MemGhost-class untrusted-channel writes) | **0** reach the inbox unlabeled; 0 false positives on benign directives (CI-enforced) | to our knowledge the only published adversarial benchmark on an agent-memory write path | | **Token economics** — real recall packets, measured through the query path | **1,951–4,835 tokens** per recall (micro→large budget); a **64× larger store grows the packet 1.58×**, and the last quadrupling moves it 0.3% | bounded by the budget you ask for, not by how much you have remembered; CI-enforced. Over MCP, the *first* response of a session also carries a one-time memory brief, bounded to a hard 4,000-character budget (~360 tokens of overhead, measured) — see RESULTS.md | | **Bundled 1,176-case recall benchmark** — deterministic, no network, no LLM | pip default (lexical) hit@1 **0.589**; `lnk setup` provisions the fast local tier by default: **0.703**; optional quality tier **0.749**, plus rerank **0.839** | reproducible with one command; CI runs the suite and gates dataset integrity, not the score | Every number ships with its config, judge model, caveats, and the experiments that *lost* — including LongMemEval end-to-end, where we re-judged both sides under the neutral Hunyuan 3 referee: mem0's GPT-5 answers score 91.0%, Link's budget-model answers 80.6%. Their published number holds up, and the gap tracks the answering model, not the memory layer — that's what the 99.4% evidence-retrieval row above isolates. Full methodology and reproduction steps: [benchmarks/RESULTS.md](https://github.com/gowtham0992/link/blob/HEAD/benchmarks/RESULTS.md). ## Memory You Can Take Anywhere — And Prove Is Working Three questions every memory system should answer, and how Link answers them with mechanisms instead of promises: **"Is it on all my machines?"** `lnk sync` moves reviewed memory through a git remote *you* control — a private GitHub repo, a homelab bare repo — with no server and no account. Secrets are scanned before anything leaves, conflicts become review items instead of git markers, and private captures never sync. `lnk team-sync` runs a shared team brain on the same rails. **"What did I believe back then?"** Ask in plain language: `lnk recall "where does local data live in March"` returns what was true *then*, reconstructed from the dated files and their supersede lineage — while the same question without the date returns today's truth. Deterministic: a regex and a calendar, no model. Point-in-time accuracy from plain language: 0.917, identical to asking with an ISO date. **"Is my agent actually using this?"** The question most memory systems cannot answer about themselves. Link records retrievals locally — session briefs pushed to agents, recalls they chose to make — and `lnk wins` answers with counts, while `lnk digest` reports the weekly story including memories that have *never* been retrieved. The ledger stores which memory was read and when, never what you asked; it never syncs, and `LINK_USAGE=off` disables it. And memory reaches every agent, not just the hooked ones: the first MCP tool response of a session carries the brief, whatever tool was called. ## Quick Start Two commands: see it work, then make it yours. ```bash brew install gowtham0992/link/link lnk proof # see the promise (~1 second, no setup) lnk setup # wire every agent you have — workspace, MCP, session hooks, one command ``` Already have memory scattered across tools? Bring it home as reviewable proposals — nothing is auto-accepted: ```bash lnk import claude-code # or: cursor, codex, file --file chatgpt.txt ``` `lnk setup` detects the agents installed on your machine — Claude Code, Codex, Cursor, Windsurf, Zed, Kiro, Gemini CLI — and wires them all at once; Link is agent-agnostic by design (one MCP server, one workspace, every agent reads the same memory). It is idempotent: after any `brew upgrade`, run it again and everything — workspace runtime, MCP provisioning, hooks — is refreshed. Prefer to wire one agent explicitly? `lnk onboard --agent claude-code --write --hooks` still does exactly that. `lnk proof` creates a throwaway workspace, writes one reviewed memory, and recalls it through the same path the CLI, skills, and MCP use — the core promise (one local memory, reusable by different agents, no cloud profile) in one second: ```text Cross-agent memory continuity works Memory: created and reviewed: Cross-agent Link proof Recall: found through the same bounded recall path used by CLI, skills, and MCP. Result: proof passed ``` `lnk onboard --agent claude-code --write` then creates `~/link`, provisions the MCP runtime, and wires the agent — including the session hooks that capture memory automatically as you work (swap `claude-code` for `codex`, `cursor`, `kiro`, `copilot`, `antigravity`, or others). Drop `--write` to preview the config without touching anything, or drop `--agent` to just create the workspace. The installed command is `lnk` because `link` is already a POSIX/macOS system utility. From a source checkout, use `python3 link.py ...` instead. Want the UI, graph, and source pages first? `lnk try && lnk serve link-demo`. Windows, source checkout, MCP-only, and skill-first paths are in the [First 10 Minutes guide](https://gowtham0992.github.io/link/getting-started.html). Or seed your current repo as a separate step so the first real recall is not empty: ```bash cd /path/to/your/project lnk seed . ~/link lnk query "what is this project about?" ~/link --budget small ``` `lnk seed` reads allowlisted project files such as `README.md`, `AGENTS.md`, `CLAUDE.md`, `.cursorrules`, and editor rule files, blocks secret-looking values, writes a source-backed project page, and rebuilds the graph. It does not create durable memories; agents should still use reviewed memory proposals for preferences and decisions. The Homebrew formula is maintained in the public [`gowtham0992/homebrew-link`](https://github.com/gowtham0992/homebrew-link) tap. Open: ```text http://127.0.0.1:3000 http://127.0.0.1:3000/onboard http://127.0.0.1:3000/graph http://127.0.0.1:3000/health ``` Use `/onboard` when you want the same first-run checklist in the local UI: readiness, project context seeding, first memory, agent wiring, and starter prompts. The web viewer is for local use only. It binds to `127.0.0.1`, has no user accounts or authentication, and should not be exposed to the internet unless you add your own auth layer. Try the value loop: ```bash lnk start link-demo --task "working on agent memory" lnk query "why does Link help agents?" link-demo --budget small lnk brief "working on agent memory" link-demo lnk benchmark "agent memory" link-demo lnk health link-demo ``` `lnk benchmark` reports both performance and value evidence: cache/search/query timings, graph payload shape, and an estimate of how much broad wiki context the bounded Link packet avoided sending to an agent. The `/health` page mirrors the readiness loop in the browser: validation state, interrupted writes, memory review status, and copyable repair commands. The viewer stays document-first — common paths in the top nav, deeper tools under `more`, and a contents outline plus graph-related links on structured pages. The generated demo is the public proof wiki. Generated content inside `wiki/`, `raw/`, and `link-demo/` is ignored by git so personal memory is not published by accident. ## LinkBar — the menu bar app (macOS) Link's memory, ambient. LinkBar puts the review gate in your menu bar: a global palette (⌥⌘M) to recall or remember from any app, native notifications with one-tap Accept when a session capture lands, a live pulse while agents are writing, and a browser over every memory file — all running on the same reviewed `lnk` commands as the CLI.

LinkBar cycling through its tabs: review inbox with live agent pulse and capture previews, memory browser, status dashboard, and settings

```bash brew install --cask gowtham0992/link/linkbar ``` Unsigned on purpose (no Apple fee inflating anything): the cask strips the quarantine flag on install, so it opens like any app. Building from source instead: `cd apps/LinkBar && bash Scripts/bundle.sh --install`. ## Killer Demo: One Memory, Two Agents This is the moment Link is built for: 1. In one agent, say: ```text remember that I prefer local, source-backed memory for AI agents ``` 2. In another agent connected to the same `~/link` workspace, say: ```text start with Link before we continue what does Link remember about local agent memory? ``` 3. The second agent should recall the reviewed memory from local Markdown instead of asking you to repeat yourself. For a clean automated version of the same idea, run: ```bash lnk proof ``` ## Ways To Use Link Pick the surface that matches how you work. They all read and write the same local Markdown wiki. These surfaces are independent. `lnk serve` / `serve.py` is only the local web viewer. CLI commands, official skills, and MCP tools read the same `wiki/` files directly, so Claude, Codex, Kiro, Cursor, or another agent can use Link even when the web viewer is not running.

Web UI
Read the local wiki, then review memory, ingest, graph, audits, captures, and explanations.

CLI
Script readiness, query packets, briefs, validation, backup, context-savings benchmark, and repair.

MCP
Let Codex, Claude, Cursor, Kiro, VS Code, Copilot, and other agents recall memory.

Link local console tour: home, memory dashboard, health, and graph

The local web viewer: browse source-backed memory and explore the knowledge graph — all on 127.0.0.1, no accounts, no backend.

Prefer skills instead of MCP? Link ships small, lazy-loadable CLI skills under `skills/`. They let an agent use `lnk health`, `lnk query`, `lnk ingest-status`, `lnk session-end`, and `lnk remember` directly, without MCP setup or a running web viewer. ```text skills/link-health/SKILL.md skills/link-retrieve/SKILL.md skills/link-ingest/SKILL.md skills/link-memory/SKILL.md ``` Full guide: [Link Skills](https://gowtham0992.github.io/link/skills.html). ## Install For Your Agent Run one installer from the cloned checkout: ```bash bash integrations/codex/install.sh bash integrations/kiro/install.sh bash integrations/claude-code/install.sh bash integrations/cursor/install.sh bash integrations/copilot/install.sh bash integrations/vscode/install.sh bash integrations/antigravity/install.sh ``` Installers create or update `~/link`, install or upgrade `link-mcp`, write lightweight agent instructions, and preserve existing wiki data on reinstall. Use `--project` when a repo needs separate project memory. On Windows, use the matching PowerShell installer: ```powershell .\integrations\codex\install.ps1 .\integrations\kiro\install.ps1 .\integrations\claude-code\install.ps1 .\integrations\cursor\install.ps1 .\integrations\copilot\install.ps1 .\integrations\vscode\install.ps1 .\integrations\antigravity\install.ps1 ``` Then ask your agent: ```text is Link ready? start with Link before we continue seed this project into Link ingest raw/notes.md into Link remember that I prefer short release notes query Link for the release process what does Link remember about local personal memory? end this session with Link memory proposals ``` For CLI-first agents or Link skills, use the same startup loop directly: ```bash lnk seed . ~/link lnk start ~/link --task "working on Link release" lnk session-end session-notes.md ~/link --limit 3 ``` If you want one guided setup for a real workspace and an agent, use `lnk onboard --agent AGENT`. If your agent already has instructions and you only need MCP wiring, use the lower-level connection helper. Both preview the exact config first; add `--write` when you want Link to update the agent config file. ```bash lnk onboard --agent codex lnk onboard --agent codex --write lnk connect codex ~/link lnk connect codex ~/link --write lnk connect kiro ~/link --write lnk verify-mcp ~/link ``` For agents with session-hook support — Claude Code, Codex, and Cursor — add `--hooks` (works with `lnk onboard` too) to make the memory loop automatic: the brief is injected at session start and proposal-only notes are captured at session end, so memory no longer depends on the agent remembering to call Link. Empty sessions and duplicate end events are skipped, and when the backlog builds up the brief nudges the agent to offer a read-only `lnk consolidate` pass. Durable memory still requires your approval. Codex and Cursor hook support is new (wired to their documented schemas — report issues). ```bash lnk connect claude-code ~/link --hooks --write lnk connect codex ~/link --hooks --write # session-start brief (Codex has no session-end event) lnk connect cursor ~/link --hooks --write lnk consolidate ~/link # read-only backlog plan, apply only with approval ``` ### Optional: hybrid semantic recall (still fully local) Lexical recall is always the default and the fallback. Paraphrase matching is opt-in: after the two setup commands below, "how should I structure my pull requests" finds a memory saved about commit style. Until then, recall matches on shared words, and a miss tells you how to turn paraphrase matching on. Installing the optional semantic extra adds a small local static-embedding model. Recall never touches the network: the model loads offline-only after a one-time explicit setup, embeddings live in plain JSON under `.link-cache/`, similarity runs in-process with no vector database, and semantic-only matches carry capped confidence labels so agents verify before trusting them. ```bash pip install "link-mcp[semantic]" # fast tier: tiny static model, instant load pip install "link-mcp[semantic-quality]" # quality tier: contextual model, best recall lnk semantic ~/link --setup # one-time model fetch, with your approval lnk semantic ~/link # status: lexical only vs hybrid, active tier python3 -m link_mcp --semantic-setup --wiki ~/link/wiki # MCP-only installs ``` Measured, not asserted: on the bundled 1,176-case benchmark, the quality tier lifts token-overlap hit@1 from 0.589 to 0.749 and pure-paraphrase (zero token overlap) hit@3/hit@5 by ~4×, at ~10 ms per recall with no service or vector database. On the third-party LoCoMo retrieval track (1,536 evidence-annotated questions over 5,882 conversation turns), hybrid recall lifts any-evidence hit@10 from 0.628 to 0.737 (0.794 with the opt-in rerank tier). Full methodology, honest limitations, and reproduction steps: [benchmarks/RESULTS.md](https://github.com/gowtham0992/link/blob/HEAD/benchmarks/RESULTS.md).

MCP-only install

```bash python3 -m pip install --upgrade link-mcp python3 -m link_mcp --version ``` ```json { "mcpServers": { "link": { "command": "python3", "args": ["-m", "link_mcp", "--wiki", "~/link/wiki", "--surface", "slim"] } } } ``` `--surface slim` is the recommended MCP surface for agents: six obvious tools for recall, remember, ingest, review, status, and admin escape hatches. The full compatibility surface is still available with `--surface full`. On macOS/Homebrew Python, if pip reports `externally-managed-environment`, use a dedicated venv: ```bash python3 -m venv ~/.link-mcp-venv ~/.link-mcp-venv/bin/python -m pip install --upgrade pip link-mcp ``` Full setup: [MCP guide](https://gowtham0992.github.io/link/mcp.html).

Obsidian users can import an existing vault into `raw/` for agent ingest, or open `~/link/wiki` directly as a vault for editing Link pages: ```bash lnk init ~/link lnk import-obsidian ~/Documents/ObsidianVault ~/link ``` See the [Obsidian guide](https://gowtham0992.github.io/link/obsidian.html) for the import, edit, and validation loop. ## Storage Model Under the hood, Link separates source-backed knowledge from durable agent memory: 1. Drop raw notes, transcripts, articles, and project context into `raw/`. 2. Agents compile those sources into inspectable pages under `wiki/`. 3. Explicit "remember" requests become reviewable memory pages. 4. Queries retrieve compact agent context from both the wiki and memory layer.

Link architecture: raw sources become wiki knowledge, explicit remembers become reviewed memory, and agents retrieve compact context

The storage model is plain and inspectable: | Layer | What lives there | |-------|------------------| | `raw/` | Original notes, transcripts, articles, PDFs, screenshots, and project files. | | `wiki/` | Source-backed pages, concepts, entities, explorations, comparisons, and memories. | | Agent interfaces | CLI, skills, MCP, and local viewer paths that avoid dumping the whole wiki into context. | If a raw file was already ingested and later edited, `lnk ingest-status` marks it as stale and tells your agent to refresh the existing source page instead of creating a duplicate. ## What Agents Get When an agent uses Link through the recommended MCP surface, it gets six model-facing tools. CLI and skill workflows call the same core behavior through `lnk`. - `status`: readiness, schema state, validation, interrupted writes, and safe next actions. - `recall`: the one read path for startup briefs, answer-ready query packets, wiki search, graph context, token budgets, and follow-up actions. Every recalled memory carries a `confidence` label (`strong`, `moderate`, `weak`) and a `match` field (`lexical`, `semantic`, `hybrid` when the optional local semantic tier is installed), so agents verify weak or paraphrase matches with the user instead of trusting them. - `remember`: durable local memory only after explicit user approval, with duplicate/conflict checks, provenance, review state, visibility, optional `review_after`, and optional `expires_at`. - `ingest`: exact next steps for raw files, source safety, stale ingest detection, validation, and rebuild checks. - `review`: memory inbox, profile, audit, log, explain, archive, restore, forget, and lifecycle review workflows — plus `review(action="consolidate")`, a read-only backlog plan applied only with per-action user approval. - `admin`: the escape hatch for backup, migrate, validate, graph export, pages, captures, rebuilds, compatibility actions, and advanced updates. The stable agent-facing loop is documented at [Link Memory Contract](https://gowtham0992.github.io/link/memory-contract.html): readiness first, bounded recall, explicit memory writes, audit tools, and sharing semantics. Use `review_after` for time-sensitive preferences or decisions. When that date arrives, the memory reappears in Link's review inbox so an agent can ask the user to confirm, update, archive, or forget it instead of trusting stale context. Use `expires_at` for temporary context that should automatically leave default recall after a date; Link keeps the Markdown page inspectable and asks the user to update, archive, or delete it. Use `visibility` to separate where a memory applies from who should see it: `private` stays personal, `project` is intended for a project workspace, and `team` means the user explicitly approved sharing it with a team. For team handoff or security review, `lnk compliance-export --output audit.json` writes a redacted JSON packet with readiness, validation, memory review status, operation markers, and recent audit log entries. Raw source contents and memory bodies are not included. For day-to-day auditability, `lnk memory-log ~/link` shows what Link recently remembered, updated, reviewed, archived, restored, forgot, or accepted from raw captures. For recovery, `lnk backup ~/link` creates a local archive and `lnk restore-backup ~/link` previews what would be restored. Passing `--confirm` replaces local files after creating a safety backup when possible; `raw/` is still excluded unless `--include-raw` is explicit. If a multi-file write is interrupted, `lnk operations ~/link` shows the marker and any rollback snapshot; `lnk operations ~/link --recover --confirm` restores the snapshot after you review it. For local proof of value, `lnk wins ~/link` shows reusable memories, reviewed memory, provenance, project continuity, freshness guardrails, and copyable prompts without tracking user behavior. For Git-backed team memory, `lnk team-sync ~/link` checks whether the workspace is ready to share reviewed `wiki/` pages while keeping `raw/`, caches, backups, local MCP Python markers, and `wiki/log.md` private by default. The audit log is local because it has a single-machine hash chain; merging multiple users' logs would create false tamper alarms. Team sync also blocks "ready" status when the memory inbox is not clear or active `visibility: private` memories would be included by a broad `git add wiki`. ```bash lnk team-sync ~/link --remote git@example.com:team/link-memory.git ``` For a teammate, reviewer, or another agent, `lnk share` resolves a page, memory, title, alias, or search phrase into a local viewer URL: ```bash lnk share "Prefer local memory" ~/link ``` For a static, read-only review packet, `lnk snapshot` exports rendered wiki HTML without `raw/`, captures, operation markers, live MCP state, or memory pages by default. `--include-memories` exports only non-private memories; use `--include-private-memories` only for a personal archive or an explicitly approved review. It blocks export if wiki pages contain secret-looking values unless you explicitly override it. ```bash lnk snapshot ~/link --output link-snapshot lnk snapshot ~/link --output link-snapshot --include-memories --force lnk snapshot ~/link --output personal-snapshot --include-memories --include-private-memories --force ``` ## Agent Contract For MCP clients, agents should use Link in this order: 1. `status` to check readiness and safe next actions. 2. `recall` with an empty query once at the first substantive turn of a session. 3. `recall(query, budget="micro"|"small")` before broad file reads or asking the user to repeat durable context. 4. `ingest` before touching raw sources and after source edits for validation/rebuild checks. 5. `remember` only when the user explicitly asks Link to remember something or approves a proposed memory. 6. `review` for memory inbox, profile, audit, log, explain, archive, restore, and forget workflows. 7. `admin` for backup, migration, graph export, captures, rebuilds, compatibility actions, and advanced maintenance. Full MCP tool list: [MCP setup](https://gowtham0992.github.io/link/mcp.html). ## Privacy And Safety Link itself is local-first: - No telemetry in the installed CLI, MCP server, local web UI, or wiki runtime. - No hosted backend. - No external API calls from `serve.py` or `link-mcp`. - Raw sources and generated wiki pages are ignored by git by default. - `lnk backup` excludes `raw/` unless you explicitly pass `--include-raw`. - Secret-looking API keys, provider tokens, JWTs, registry credentials, and private key blocks are detected in raw sources, captures, and release hygiene checks. `lnk validate` and `lnk doctor` also fail if secret-looking values are found inside wiki pages before they can be served through the local UI or returned through agent context. - Optional semantic recall stays local: models load offline-only at recall time (only the explicit `lnk semantic --setup` may fetch a model, once), and embeddings live in plain JSON under `.link-cache/`. - Automatic session hooks store proposal-only notes; transcript extraction skips tool calls and outputs, and no durable memory is written without review. - The local web server binds to `127.0.0.1` and is not meant to be exposed to the internet without additional auth. Before sharing a repo, demo, or wiki: ```bash python3 link.py doctor python3 link.py validate python3 scripts/check_release_hygiene.py ``` More detail: [Security guide](https://gowtham0992.github.io/link/security.html). ## Documentation | Need | Go here | |------|---------| | Run Link for the first time | [First 10 minutes](https://gowtham0992.github.io/link/getting-started.html) | | "Does Link read my conversations?" | [The three questions everyone asks](https://gowtham0992.github.io/link/getting-started.html#faq) | | Decide whether Link fits | [Why Link?](https://gowtham0992.github.io/link/why-link.html) | | Use the local viewer | [Web UI](https://gowtham0992.github.io/link/ui.html) | | Understand raw/wiki/memory | [Concepts](https://gowtham0992.github.io/link/concepts.html) | | Configure MCP | [MCP setup](https://gowtham0992.github.io/link/mcp.html) | | Find a command | [CLI reference](https://gowtham0992.github.io/link/cli.html) | | Use Link without MCP setup | [Official skills](https://gowtham0992.github.io/link/skills.html) | | Use local HTTP endpoints | [HTTP API](https://gowtham0992.github.io/link/api.html) | | Review security boundaries | [Security model](https://gowtham0992.github.io/link/security.html) | | Check scale limits and measure your wiki | [Link Scale](https://gowtham0992.github.io/link/scale.html) | | Evaluate Link for a small team | [Team security review](https://gowtham0992.github.io/link/team-security.html) | | Fix setup issues | [Troubleshooting](https://gowtham0992.github.io/link/troubleshooting.html) | ## Contributing Contributions should come through pull requests targeting `main`. The `develop` branch is a maintainer integration branch for larger release work before it is proposed to `main`. Before opening a PR: ```bash python3 -m ruff check . python3 -m pytest tests python3 scripts/check_release_hygiene.py python3 scripts/check_runtime_duplication.py python3 scripts/check_tool_contract.py git diff --check ``` Full contributor guide: [Contributing](https://gowtham0992.github.io/link/contributing.html). Do not include personal wiki data, raw sources, registry tokens, `.env` files, or local MCP credentials in a PR. If Link helps your agents remember better, [star it on GitHub](https://github.com/gowtham0992/link) so more people can find it.