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\n
MegaMemory
\n\n
Persistent project knowledge graph for coding agents.
\n
\n \n \n \n \n \n
\n\n
\n \n
\n\n---\n\nAn [MCP](https://modelcontextprotocol.io/) server that lets your coding agent build and query a graph of concepts, architecture, and decisions — so it **remembers across sessions**.\n\nThe LLM is the indexer. No AST parsing. No static analysis. Your agent reads code, writes concepts in its own words, and queries them before future tasks. The graph stores **concepts** — features, modules, patterns, decisions — not code symbols.\n\n### The Loop\n\n
\n \n
\n\n`understand → work → update`\n\n1. **Session start** — agent calls `list_roots` to orient itself\n2. **Before a task** — agent calls `understand` with a natural language query (or `get_concept` for exact ID lookup)\n3. **After a task** — agent calls `create_concept` or `update_concept` to record what it built\n\nEverything persists in a per-project SQLite database at `.megamemory/knowledge.db`.\n\n---\n\n### Installation\n\n```bash\nnpm install -g megamemory\n```\n\n> [!NOTE]\n> Requires Node.js >= 18. The embedding model (~23MB) downloads automatically on first use.\n\n### Quick Start\n\n```bash\nmegamemory install\n```\n\nRun the interactive installer and choose your editor:\n\n> [!NOTE]\n> The installer only updates config files after a successful read/merge, and it will not overwrite existing plugin/command files unless they are already marked as MegaMemory-managed.\n\n#### With [opencode](https://opencode.ai)\n\n```bash\nmegamemory install --target opencode\n```\n\nOne command configures:\n- MCP server in `~/.config/opencode/opencode.json`\n- Workflow instructions in `~/.config/opencode/AGENTS.md`\n- Skill tool plugin at `~/.config/opencode/tool/megamemory.ts`\n- Bootstrap command `/user:bootstrap-memory` for initial graph population\n- Save command `/user:save-memory` to persist session knowledge\n\nRestart opencode after running install.\n\n#### With [Claude Code](https://code.claude.com)\n\n```bash\nmegamemory install --target claudecode\n```\n\nConfigures:\n- MCP server in `~/.claude.json`\n- Workflow instructions in `~/.claude/CLAUDE.md`\n- Commands in `~/.claude/commands/`\n\n#### With [Antigravity](https://idx.google.com)\n\n```bash\nmegamemory install --target antigravity\n```\n\nConfigures:\n- MCP server in `./mcp_config.json` (workspace-level)\n\n#### With [Codex](https://openai.com/codex)\n\n```bash\nmegamemory install --target codex\n```\n\nConfigures:\n- MCP server in `~/.codex/config.toml`\n- Workflow instructions in `~/.codex/AGENTS.md`\n\n#### With other MCP clients\n\nAdd megamemory as a stdio MCP server. The command is just `megamemory` (no arguments). It reads/writes `.megamemory/knowledge.db` relative to the working directory, or set `MEGAMEMORY_DB_PATH` to override.\n\n```json\n{\n \"megamemory\": {\n \"type\": \"local\",\n \"command\": [\"megamemory\"],\n \"enabled\": true\n }\n}\n```\n\n---\n\n### MCP Tools\n\n| Tool | Description |\n|------|-------------|\n| `understand` | Semantic search over the knowledge graph. Returns matched concepts with children, edges, and parent context. |\n| `get_concept` | Look up a concept by its exact ID. Returns full context including children, edges, incoming edges, and parent. |\n| `create_concept` | Add a new concept with optional edges and file references. |\n| `update_concept` | Update fields on an existing concept. Regenerates embeddings automatically. |\n| `link` | Create a typed relationship between two concepts. |\n| `remove_concept` | Soft-delete a concept with a reason. History preserved. |\n| `list_roots` | List all top-level concepts with direct children. |\n| `list_conflicts` | List unresolved merge conflicts grouped by merge group. |\n| `resolve_conflict` | Resolve a merge conflict by providing verified, correct content based on the current codebase. |\n\n**Concept kinds:** `feature` · `module` · `pattern` · `config` · `decision` · `component`\n\n**Relationship types:** `connects_to` · `depends_on` · `implements` · `calls` · `configured_by`\n\n### Knowledge Graph\n\n
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\n\n---\n\n### Web Explorer\n\nVisualize the knowledge graph in your browser:\n\n```bash\nmegamemory serve\n```\n\n- Nodes are colored by kind and sized by edge count\n- Dashed edges show parent-child links; solid edges show relationships\n- Click any node to inspect summary, files, and edges\n- Search supports highlight/dim filtering\n- If port `4321` is taken, you'll be prompted to pick another\n\n```bash\nmegamemory serve --port 8080 # custom port\n```\n\n---\n\n### How It Works\n\n
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\n\n```\nsrc/\n index.ts CLI entry + MCP server (9 tools)\n tools.ts Tool handlers (understand, get_concept, create, update, link, remove, list_conflicts, resolve_conflict)\n db.ts SQLite persistence (libsql, WAL mode, schema v3)\n embeddings.ts In-process embeddings (all-MiniLM-L6-v2, 384 dims)\n merge.ts Two-way merge engine for knowledge.db files\n merge-cli.ts CLI handlers for merge, conflicts, resolve commands\n types.ts TypeScript types\n cli-utils.ts Colored output + interactive prompts\n install.ts multi-target installer (opencode, Claude Code, Antigravity, Codex)\n web.ts HTTP server for graph explorer\nplugin/\n megamemory.ts Opencode skill tool plugin\ncommands/\n bootstrap-memory.md /user command for initial population\n save-memory.md /user command to save session knowledge\nweb/\n index.html Single-file graph visualization (d3-force + Canvas)\n```\n\n- **Embeddings** — In-process via [Xenova/all-MiniLM-L6-v2](https://huggingface.co/Xenova/all-MiniLM-L6-v2) (ONNX, quantized). No API keys, and no network calls after the first model download.\n- **Storage** — SQLite with WAL mode, soft-delete history, and schema migrations (currently v3).\n- **Search** — Brute-force cosine similarity over node embeddings; fast enough for graphs with <10k nodes.\n- **Merge** — Two-way merge with conflict detection by concept ID, with AI-assisted conflict resolution via MCP tools.\n\n---\n\n### CLI Commands\n\n| Command | Description |\n|---------|-------------|\n| `megamemory` | Start the MCP stdio server |\n| `megamemory install` | Configure editor/agent integration |\n| `megamemory serve` | Launch the web graph explorer |\n| `megamemory merge` | Merge two knowledge.db files |\n| `megamemory conflicts` | List unresolved merge conflicts |\n| `megamemory resolve` | Resolve a merge conflict |\n| `megamemory --help` | Show help |\n| `megamemory --version` | Show version |\n\n---\n\n### Merging Knowledge Graphs\n\nWhen branches diverge, each may update `.megamemory/knowledge.db` independently. Since SQLite files cannot be auto-merged by git, megamemory provides dedicated merge commands.\n\n#### Merge two databases\n\n```bash\nmegamemory merge main.db feature.db --into merged.db\n```\n\nConcepts are compared by ID: identical nodes are deduplicated, and conflicting nodes are kept as `::left`/`::right` variants under one merge group UUID. Use `--left-label` and `--right-label` to replace default side labels with branch names.\n\n```bash\nmegamemory merge main.db feature.db --into merged.db --left-label main --right-label feature-xyz\n```\n\n#### View conflicts\n\n```bash\nmegamemory conflicts # human-readable summary\nmegamemory conflicts --json # machine-readable output\nmegamemory conflicts --db path # specify database path\n```\n\n#### Resolve conflicts manually\n\n```bash\nmegamemory resolve --keep left # keep the left version\nmegamemory resolve --keep right # keep the right version\nmegamemory resolve --keep both # keep both as separate concepts\n```\n\n#### AI-assisted resolution\n\nWhen an AI agent runs `/merge`, it calls `list_conflicts`, verifies both versions against current source files, then calls `resolve_conflict` with `resolved: {summary, why?, file_refs?}` plus a verification `reason`. It does not pick a side blindly; it resolves to what the codebase currently reflects.\n\n---\n\n### License\n\n[MIT](./LICENSE)\n","readmeFilename":"README.md"}
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