# MCP Light Memory [Health: Active] **Category:** ๐Ÿง  Knowledge & Memory **Repository:** https://github.com/PeterPirog/mcp-light-memory **GitHub Stars:** 0 **Views:** 0 **Installs:** 0 **Upvotes:** 0 **Directory Page:** https://allmcps.com/mcp/mcp-light-memory ## Description Local-first persistent memory for coding agents and MCP clients. ## Claude Desktop Quick Installation Install path detected from listing signals. Uses `uvx` (confidence: high): ```json "mcpServers": { "mcp-light-memory": { "command": "uvx", "args": ["sentence-transformers"] } } ``` ## Documentation & README

MCP Light Memory

MCP Light Memory icon

MCP Light Memory

Lightweight local-first persistent memory for coding agents and MCP clients.
formerly internal-rag

version license python deps mcp

--- ## What is this? **MCP Light Memory** is a lightweight, local-first, persistent memory system for coding agents and MCP clients (Warp, OpenCode, JetBrains AI Assistant / PyCharm, Claude Code, Cursor). It acts as a **checkpoint + retrieval layer** โ€” it stores the minimum durable state needed to resume complex work across sessions, without keeping the full conversation in the model's context window. When your agent starts a task, it calls `context` and gets back relevant past decisions, gotchas, constraints, and hypotheses โ€” ranked, deduplicated, and trust-bounded. When it finishes, it checkpoints the working state. Next session, even after a restart, the memory is there. ## Why use it? | Problem | How MCP Light Memory solves it | |---|---| | Agents forget everything between sessions | Markdown files persist on disk; the agent retrieves them via BM25 + optional embeddings | | Full session history is too large for context | Only relevant memories are retrieved (token-budgeted, MMR-diversified) | | Cloud dependency / privacy concerns | 100% local, offline, zero network calls, no daemon | | Heavy setup / dependencies | Zero required runtime deps (pure Python 3.8+ stdlib); optional `sentence-transformers` for better semantic retrieval | | Prompt injection via stored memory | Every retrieved memory is explicitly `trust: untrusted` evidence with an injection-warning heuristic (ADR-015) | | Multi-project isolation | Router with registry allowlist, `write:false` hard boundary, per-call subprocess isolation | | MCP protocol drift | Dual-era support: modern `2026-07-28` + legacy `2024-11-05`โ€ฆ`2025-11-25` | ## How it works (mechanisms) - **Markdown is the source of truth.** Every memory is a `.md` file with YAML frontmatter (`id`, `type`, `status`, `tags`, `sources`, `links`, `valid_from`, `valid_to`, `supersedes`). Human-readable, diffable, durable. - **SQLite is a rebuildable cache.** BM25/FTS5 index + optional embedding vectors + usage tracking. Delete it and everything rebuilds from Markdown. - **Retrieval:** pure-Python BM25 + optional dense embeddings โ†’ RRF fusion โ†’ MMR diversification โ†’ policy boosts (type/status/temporal) โ†’ token-budget cut. Adaptive mode: sparse first, dense only if weak. - **Lifecycle:** `remember` โ†’ `update` โ†’ `supersede` (links both directions, never deletes history) โ†’ `forget` (archives, never deletes) โ†’ `timeline` (temporal view). `search --at YYYY-MM-DD` for historical queries. - **Trust boundary:** retrieved content is wrapped in `=== BEGIN/END INTERNAL_RAG MEMORY ===` with a `SECURITY NOTICE` header. Structured JSON/MCP carries `trust: untrusted` + optional `security_flags: ["instruction_like_content"]`. - **Evidence freshness:** each result includes `evidence_state` (`present`/`missing`/`unverifiable`) for local path-like evidence โ€” derived at retrieval time, never persisted. - **Multi-project router:** one MCP stdio server in front of many projects via a JSON registry. `write:false` blocks mutating tools before spawning a child. Per-call subprocess isolation (no shared state). ## Setup ### Prerequisites - **Python 3.8+** (uses `py` launcher, `python`, or `python3` โ€” the installer auto-detects the real interpreter and rejects the WindowsApps stub) - **Git** (the target project must be a git repo) - Optional: `pip install sentence-transformers numpy` for better semantic retrieval The current version is defined by the [`VERSION`](https://github.com/PeterPirog/mcp-light-memory/blob/HEAD/VERSION) file โ€” check it (or run `mlm.py --version`) instead of hard-coding an expected number. ### Quick start Clone this repo once, then install into any project: ```powershell # Windows (PowerShell) git clone https://github.com/PeterPirog/mcp-light-memory.git ~/mcp-light-memory python ~/mcp-light-memory/install.py . --client warp ``` ```bash # Linux/macOS git clone https://github.com/PeterPirog/mcp-light-memory.git ~/mcp-light-memory python3 ~/mcp-light-memory/install.py . --client warp ``` The installer: - copies skill files + creates `INTERNAL_RAG/` + `AGENTS.md` - runs `init` + `checkpoint` + `validate` (so `guard` is `OK` immediately) - auto-registers the MCP server in the client config when it can do so safely (or reports `MANUAL_REQUIRED` / prints JetBrains instructions) - writes the **absolute path** to the verified Python interpreter (survives Windows PATH issues) ```powershell python .agents\skills\internal-rag\mlm.py --version # reports the installed version python .agents\skills\internal-rag\mlm.py status # expect: INTERNAL_RAG ready python .agents\skills\internal-rag\mlm.py guard # expect: GUARD OK ``` ### Installation matrix One installer, four clients, two config scopes. Full guide: [docs/INSTALLATION.md](https://github.com/PeterPirog/mcp-light-memory/blob/HEAD/docs/INSTALLATION.md). | Client | Project scope | Global scope | |---|---|---| | **Warp** (config write automatic; project activation may require approval) | `install.py . --client warp` | `install.py . --client warp --global` | | **OpenCode stable (V1)** (automatic for safe JSON config writes) | `install.py . --client opencode` | `install.py . --client opencode --global` | | **OpenCode 2 (V2, beta)** (automatic for safe JSON config writes) | `install.py . --client opencode2` | `install.py . --client opencode2 --global` | | **JetBrains AI / PyCharm** (manual in IDE UI) | `install.py . --client jetbrains` | `install.py . --client jetbrains --global` | - **`--global` changes the scope of the CLIENT CONFIG** (`~/.warp/.mcp.json` vs `{repo}/.warp/.mcp.json`, `~/.config/opencode/opencode.json` vs project `opencode.json`). The server still points at the **target project** you installed into. - **Need one global MCP endpoint for many repositories?** Use the multi-project router โ€” [docs/MCP-MULTI-PROJECT.md](https://github.com/PeterPirog/mcp-light-memory/blob/HEAD/docs/MCP-MULTI-PROJECT.md). - **JetBrains/PyCharm is assisted, not fully automatic**: the installer prepares the JSON + Working Directory; you add the server in Settings โ†’ Tools โ†’ AI Assistant โ†’ MCP and choose Server level = Project or Global. - Manual setup (no installer) per client: [docs/INSTALLATION.md](https://github.com/PeterPirog/mcp-light-memory/blob/HEAD/docs/INSTALLATION.md) + client pages ([Warp](https://github.com/PeterPirog/mcp-light-memory/blob/HEAD/docs/WARP-SETUP.md) ยท [OpenCode](https://github.com/PeterPirog/mcp-light-memory/blob/HEAD/docs/OPENCODE.md)). ### Zero-shot: copy-paste prompts for Warp and OpenCode You can paste one of these directly into the client agent. Replace `C:\Projects\App` with the real target repository path. **Warp โ€” install for one project:** ```text Install and configure MCP Light Memory (mcp-light-memory) as an MCP server for project C:\Projects\App in Warp, using project scope. Use the repository https://github.com/PeterPirog/mcp-light-memory. If the tool is not cloned yet, clone it to a stable location outside the project; if it already exists, update it with git pull --ff-only. Apply the canonical installation contract from the repository and run install.py with TARGET_PROJECT=C:\Projects\App and --client warp without --global. Do not force-overwrite an existing configuration. After installation, verify from cwd=C:\Projects\App: mlm.py --version, mlm.py status, and mlm.py guard, and confirm that the Warp configuration contains mcp-light-memory and the C:\Projects\App path. Report success only after MCP REGISTRATION: REGISTERED and successful verification. If Warp requires an additional project activation/toggle/approval, state the exact client-side step and do not claim the server is active before it is completed. ``` **Warp โ€” global client config for one project:** ```text Install and configure MCP Light Memory (mcp-light-memory) in Warp globally for project C:\Projects\App. Use the repository https://github.com/PeterPirog/mcp-light-memory. If the tool is not cloned yet, clone it to a stable location outside the project; if it already exists, run git pull --ff-only. Apply the canonical installation contract and run install.py with TARGET_PROJECT=C:\Projects\App, --client warp, and --global. Remember: --global means the global Warp client configuration, while the server must still be bound to C:\Projects\App; do not use the multi-project router. After installation, verify from cwd=C:\Projects\App: mlm.py --version, mlm.py status, and mlm.py guard, and confirm that the global Warp configuration contains mcp-light-memory and the C:\Projects\App path. Report success only after MCP REGISTRATION: REGISTERED and successful verification. ``` **OpenCode โ€” install for one project (stable/V1):** ```text Install and configure MCP Light Memory (mcp-light-memory) as an MCP server for project C:\Projects\App in OpenCode. By "OpenCode" I mean stable/V1, so use --client opencode, not opencode2. Use the repository https://github.com/PeterPirog/mcp-light-memory. If the tool is not cloned yet, clone it to a stable location outside the project; if it already exists, run git pull --ff-only. Run install.py with TARGET_PROJECT=C:\Projects\App and --client opencode without --global. Do not force-overwrite an existing configuration. If the installer returns MCP REGISTRATION: MANUAL_REQUIRED (for example because opencode.jsonc exists), do not report success: safely edit the JSONC while preserving comments and unrelated settings if you have appropriate file-editing tools; otherwise report the exact manual action required. After real registration, verify from cwd=C:\Projects\App: mlm.py --version, mlm.py status, and mlm.py guard, and confirm that the OpenCode configuration contains mcp-light-memory and C:\Projects\App. ``` **OpenCode โ€” global client config for one project (stable/V1):** ```text Install and configure MCP Light Memory (mcp-light-memory) globally in OpenCode for project C:\Projects\App. By "OpenCode" I mean stable/V1, so use --client opencode. Use the repository https://github.com/PeterPirog/mcp-light-memory. If the tool is not cloned yet, clone it to a stable location outside the project; if it already exists, run git pull --ff-only. Run install.py with TARGET_PROJECT=C:\Projects\App, --client opencode, and --global. --global means the global OpenCode client configuration, while the server must still be bound only to C:\Projects\App; do not use the multi-project router. If the installer returns MCP REGISTRATION: MANUAL_REQUIRED, do not report success and follow the safe JSONC instructions. After real registration, verify from cwd=C:\Projects\App: mlm.py --version, mlm.py status, and mlm.py guard, and confirm that the global OpenCode configuration contains mcp-light-memory and the C:\Projects\App path. ``` For OpenCode 2 / V2, use the same prompts but explicitly say **OpenCode 2 / V2** and require `--client opencode2`. More variants: [docs/ZERO-SHOT-SETUP-PROMPTS.md](https://github.com/PeterPirog/mcp-light-memory/blob/HEAD/docs/ZERO-SHOT-SETUP-PROMPTS.md). --- ## Configuration details ### Warp Warp reads MCP server configs from `~/.warp/.mcp.json` (global, auto-spawns) or `{repo}/.warp/.mcp.json` (project, requires a manual toggle per [Warp docs](https://docs.warp.dev/agents/capabilities/mcp/)). Shape: `mcpServers.` with `command`, `args`, `working_directory` (always set it โ€” the memory store is resolved from it). See `examples/warp.example.json` and [docs/WARP-SETUP.md](https://github.com/PeterPirog/mcp-light-memory/blob/HEAD/docs/WARP-SETUP.md). ### OpenCode stable (V1) OpenCode reads `opencode.json`/`.jsonc` in the project root, or `~/.config/opencode/opencode.json` globally. V1 servers are **flat** under `mcp.` (no `servers` sub-key) with `enabled: true` and `command` as an array โ€” see `examples/opencode-legacy.example.json` and [docs/OPENCODE.md](https://github.com/PeterPirog/mcp-light-memory/blob/HEAD/docs/OPENCODE.md). ### OpenCode 2 (V2, beta) Same config files, different shape: `mcp.servers.`, `command` as an array, and **no `enabled` field** (V2 disables via `disabled: true`) โ€” see `examples/opencode-v2.example.jsonc` and [docs/OPENCODE.md](https://github.com/PeterPirog/mcp-light-memory/blob/HEAD/docs/OPENCODE.md). ### JetBrains AI Assistant / PyCharm PyCharm does **NOT** auto-read any MCP config file. The installer prints ready-to-paste JSON + Working Directory; you add the server in Settings โ†’ Tools โ†’ AI Assistant โ†’ MCP (STDIO) and choose **Server level = Project or Global**. See `examples/jetbrains.example.json`. --- ## Multi-project router One MCP connection in front of many projects โ€” registry allowlist, `write:false` hard boundary, per-call subprocess isolation. ### Registry file (`projects.json`) ```json { "projects": { "backend": { "root": "/abs/path/backend", "write": true }, "shared-lib": { "root": "/abs/path/shared-lib", "write": false } } } ``` ### Warp config for the router ```json { "mcpServers": { "mcp-light-memory-router": { "command": "python3", "args": ["/abs/path/mcp-light-memory/.agents/skills/internal-rag/irag_mcp_router.py", "--registry", "/abs/path/projects.json"], "working_directory": "/abs/path/mcp-light-memory" } } } ``` See [docs/MCP-MULTI-PROJECT.md](https://github.com/PeterPirog/mcp-light-memory/blob/HEAD/docs/MCP-MULTI-PROJECT.md) for details. --- ## Workflow ```text context --task "current task" โ†“ recovery, if required (RECOVERY REQUIRED) โ†“ checkpoint before first change โ†“ implementation โ†“ checkpoint after each milestone โ†“ guard before finishing ``` Core commands (CLI alias: `mlm.py` or legacy `irag.py`): ```text mlm.py context --task "..." mlm.py checkpoint --reason "..." mlm.py search --query "..." --limit 8 mlm.py remember --type decision --title "..." --body "..." mlm.py show mlm.py update --status superseded mlm.py status mlm.py guard mlm.py validate mlm.py doctor ``` ## Path mapping (rebrand: internal-rag โ†’ MCP Light Memory) | New name | Legacy path (kept for compatibility) | |---|---| | `MCP Light Memory` (product) | `internal-rag` (deprecated product name) | | `mlm` / `mlm.py` (primary CLI) | `irag.py` (legacy alias, still works) | | `mcp-light-memory` (MCP server name) | `internal-rag` (legacy, still works in configs) | | `mcp-light-memory-router` (router name) | `internal-rag-router` (legacy) | | `INTERNAL_RAG/` (storage folder โ€” unchanged) | โ€” | | `.agents/skills/internal-rag/` (skill dir โ€” unchanged) | โ€” | The on-disk folder `INTERNAL_RAG/` and the skill directory `.agents/skills/internal-rag/` are intentionally kept under their legacy names for **zero-migration** backward compatibility. See `docs/MIGRATION-TO-MCP-LIGHT-MEMORY.md`. ## Durable memory (CRUD) ```text remember --type decision --title "..." --body "..." --tags "a,b" --evidence "src/x.py:42" --links "decisions/other.md" show show --section Knowledge update --add-tags "new" --append "New evidence: ..." supersede --by --reason "..." forget # archives, does not delete link --from --to timeline --limit 20 status history ``` Types: `decision`, `knowledge`, `constraint`, `gotcha`, `failure`, `hypothesis`, `session`. ## Task stack (interrupts) ```text mlm.py push --task "interrupted work" --reason "user-priority" mlm.py tasks mlm.py resume mlm.py forget-task # drop a specific task mlm.py forget-task # clear the whole stack ``` ## Configuration (`.irag.yml`, optional) ```yaml retrieval: limit: 10 mmr_lambda: 0.4 min_score: 0.3 embeddings: auto # auto | on | off profile: english-fast # english-fast (default) | multilingual (PL/EN projects) embeddings_model: null # explicit model overrides the profile tokens: context_budget: 5000 checkpoints: auto_archive_sessions: true max_task_stack: 24 ``` `mlm.py config` shows the effective configuration. `mlm.py config --init` writes a template. ## Optional embeddings (better retrieval) ```bash pip install -r requirements-optional.txt ``` When the package is available and `.irag.yml` has `embeddings: auto` (default), retrieval uses embeddings with fallback to BM25. Override at runtime with `--embeddings on|off|auto`. Two retrieval profiles (see `docs/EMBEDDINGS.md`): - `english-fast` (default, `all-MiniLM-L6-v2`) - `multilingual` (`intfloat/multilingual-e5-small`) โ€” for Polish-English projects ## Offline / air-gapped ```bash python pack.py --with-embeddings --profile english-fast # -> internal-rag-offline-1.8.1.zip (name from pack.py; 1.8.1 = VERSION file) # On the air-gapped machine: unzip internal-rag-offline-*.zip -d internal-rag-offline pip install --no-index --find-links wheels/ -r requirements-optional.txt python install.py "/path/to/project" --client ``` See `docs/OFFLINE.md` for details. ## Privacy & Git The default install mode is **local-only**. The installer uses `.git/info/exclude`, not the project's `.gitignore`, so local memory and integration files are not accidentally committed. Before publishing a project: ```powershell python .\privacy_check.py "D:\path\to\project" ``` Expected: `RESULT: PASS` ## Full removal from a project ```powershell python .\uninstall.py "D:\path\to\project" ``` The uninstaller creates a backup outside the repository, then removes INTERNAL_RAG and its integrations. Use `--keep-memory` to preserve the memory data. ## Documentation - [Installation](https://github.com/PeterPirog/mcp-light-memory/blob/HEAD/docs/INSTALLATION.md) ยท [Daily usage](https://github.com/PeterPirog/mcp-light-memory/blob/HEAD/docs/DAILY-USAGE.md) ยท [CLI reference](https://github.com/PeterPirog/mcp-light-memory/blob/HEAD/docs/CLI.md) - [Architecture](https://github.com/PeterPirog/mcp-light-memory/blob/HEAD/docs/ARCHITECTURE.md) ยท [Memory lifecycle](https://github.com/PeterPirog/mcp-light-memory/blob/HEAD/docs/MEMORY-LIFECYCLE.md) ยท [Recovery](https://github.com/PeterPirog/mcp-light-memory/blob/HEAD/docs/RECOVERY.md) - [MCP](https://github.com/PeterPirog/mcp-light-memory/blob/HEAD/docs/MCP.md) ยท [Multi-project MCP](https://github.com/PeterPirog/mcp-light-memory/blob/HEAD/docs/MCP-MULTI-PROJECT.md) - [Architecture decisions (ADR)](https://github.com/PeterPirog/mcp-light-memory/blob/HEAD/docs/ADR.md) ยท [Configuration](https://github.com/PeterPirog/mcp-light-memory/blob/HEAD/docs/CONFIG.md) - [Embeddings](https://github.com/PeterPirog/mcp-light-memory/blob/HEAD/docs/EMBEDDINGS.md) ยท [Offline](https://github.com/PeterPirog/mcp-light-memory/blob/HEAD/docs/OFFLINE.md) ยท [Git hooks](https://github.com/PeterPirog/mcp-light-memory/blob/HEAD/docs/GIT-HOOKS.md) - [Privacy & Git](https://github.com/PeterPirog/mcp-light-memory/blob/HEAD/docs/PRIVACY-AND-GIT.md) ยท [Uninstall](https://github.com/PeterPirog/mcp-light-memory/blob/HEAD/docs/UNINSTALL.md) ยท [Troubleshooting](https://github.com/PeterPirog/mcp-light-memory/blob/HEAD/docs/TROUBLESHOOTING.md) - [Zero-shot setup prompts](https://github.com/PeterPirog/mcp-light-memory/blob/HEAD/docs/ZERO-SHOT-SETUP-PROMPTS.md) ยท [Migration](https://github.com/PeterPirog/mcp-light-memory/blob/HEAD/docs/MIGRATION-TO-MCP-LIGHT-MEMORY.md) ยท [Branding](https://github.com/PeterPirog/mcp-light-memory/blob/HEAD/docs/BRANDING.md) ## Structure in a target project ```text project/ โ”œโ”€โ”€ AGENTS.md โ”œโ”€โ”€ .irag.yml # optional config โ”œโ”€โ”€ INTERNAL_RAG/ โ”‚ โ”œโ”€โ”€ WORKING_STATE.md โ”‚ โ”œโ”€โ”€ INDEX.md โ”‚ โ”œโ”€โ”€ .checkpoint.json โ”‚ โ”œโ”€โ”€ decisions/ knowledge/ gotchas/ failures/ hypotheses/ sessions/ archive/ โ”‚ โ””โ”€โ”€ exports/ โ”œโ”€โ”€ .agents/skills/internal-rag/ โ”‚ โ”œโ”€โ”€ SKILL.md โ”‚ โ”œโ”€โ”€ mlm.py # primary CLI (forwards to irag.py) โ”‚ โ”œโ”€โ”€ irag.py # core (legacy alias, still the canonical module) โ”‚ โ”œโ”€โ”€ irag_embeddings.py # optional plugin โ”‚ โ””โ”€โ”€ irag_hooks.py # optional git hooks โ””โ”€โ”€ .opencode/ # OpenCode integration (optional) ``` ## Source of truth 1. current user instructions, 2. current code/tests/configuration, 3. specifications/ADRs, 4. verified memory, 5. session notes, 6. hypotheses. Memory can be stale. Code takes precedence. ## License MIT. --- ## Changelog ### 1.8.0 โ€” JetBrains manual setup - `--client jetbrains` no longer writes a fake config file (PyCharm ignores MCP config files). Prints ready-to-paste JSON + IDE menu instructions instead. - `--unregister --client jetbrains` prints a reminder to remove in the IDE UI. ### 1.7.2 โ€” JetBrains cwd + client-specific messages - JetBrains: writes `working_directory` as a hint + prints `WARNING` with exact path to set in `Settings โ†’ Tools โ†’ AI Assistant โ†’ MCP`. - Client-specific restart messages (Restart PyCharm / Restart Warp / Restart OpenCode). - `Memory store: ` printed in install output for immediate verification. ### 1.7.1 โ€” Windows Python stub fix - `detect_python()` rejects the WindowsApps 0-byte stub; prefers `py -0p`; verifies each candidate with `--version`. - Post-register verification: runs `--version` immediately after writing the config and reports `PASS`/`FAIL`. - `--unregister` deletes empty config files + parent dirs (fixes dead `.warp/.mcp.json` skeleton โ†’ `GUARD STALE`). ### 1.7.0 โ€” Rebrand to MCP Light Memory - Total rebrand from `internal-rag` to **MCP Light Memory** (`mcp-light-memory`). New CLI alias `mlm` (`mlm.py`). Logo/icon assets. Migration doc. GitHub rebrand checklist. - Backward-compatible: `irag.py`, `INTERNAL_RAG/`, old MCP server names preserved as deprecated aliases. - 18 rebrand consistency tests. ### 1.6.1 โ€” Post-v1.6 hardening - Mutation/lifecycle benchmark (11 scenarios). Trust boundary (ADR-015): `trust: untrusted` + `security_flags`. Evidence freshness (ADR-016): `evidence_state`. Scale benchmark (100/1k/10k). Router security regressions (+12 tests). Docs consistency test. 249 tests pass. ### 1.6.0 โ€” Retrieval quality + MCP 2026-07-28 - Memory-quality benchmark (37 cases). MCP `2026-07-28` dual-era (`server/discover`, `_meta`, `structuredContent`, `outputSchema`). Registry strict `write`. Sources in chunk prefix. Adaptive retrieval. Link-aware context. `consolidate --prepare`. Router latency benchmark. ADR-010โ€ฆ016. ### 1.5.0 โ€” Abstention gate + multi-project router - Relevance/abstention gate (`--meta`). FTS5 candidate prefilter. Multi-project MCP router. MCP protocol hardening (pure stdout, SDK-verified). 168 tests. ### 1.4.0 โ€” Chunking + dedup + temporal lifecycle - Section-aware chunking (schema v3). SimHash dedup. Multilingual PL/EN profile. Temporal lifecycle (`valid_from`/`valid_to`/`supersedes`/`--at`). `consolidate --dry-run`. ### 1.3.0 โ€” Persistent embedding cache - Chunk-level float32 BLOBs in SQLite. Multiple models coexist. `index --vacuum`/`--embed-missing`. ### 1.0.2 โ€” Token budget + privacy - Token budget enforcement. Stale memory detection. Duplicate detection. Privacy scan at write-time. Auto-checkpoint timer. Offline/air-gapped pack. ### 1.0.0 โ€” Initial release - BM25 + MMR retrieval. Full memory CRUD. Task stack. MCP server (JSON-RPC stdio). Git hooks. Diagnostics. Export/import. Token budget.