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OpenCode plugin — agent personas, skills, routing enforcement, and MCP tools.","maintainers":[{"name":"veedubin","email":"jakob.charles@gmail.com"}],"readme":"# @veedubin/neuralgentics\n\nNeuralgentics OpenCode Plugin — Multi-agent orchestration with trust-weighted memory, a permissions-based MCP broker, and context that survives sessions.\n\n## What This Package Does\n\nThis npm package provides the Neuralgentics plugin for [OpenCode](https://github.com/modelcontextprotocol/opencode). It includes:\n\n- **8 agent personas**: architect, coder, explorer, git, orchestrator, reviewer, tester, writer\n- **7 skills**: orchestrator, handoff, kanban-board-manager, skill-self-audit, todo-list-updater, update-gh-docs, external-skills-fetcher\n- **7 slash commands**: `/handoff`, `/orchestrator`, `/kanban-board-manager`, `/skill-self-audit`, `/todo-list-updater`, `/update-gh-docs`, `/external-skills-fetcher`\n- **MCP tools**: memory save/query, compaction backup/restore, stateless agent dispatch, self-evolution gate\n- **Lifecycle hooks**: `session.created`, `session.idle`, `session.compacting`\n- **Config merger**: Injects Neuralgentics version and memory URL into OpenCode config\n\n## Install\n\nRun this command in your project directory:\n\n```bash\nnpx @veedubin/neuralgentics --init\n```\n\n### What `--init` Does\n\n1. Downloads the latest `@veedubin/neuralgentics` release tarball.\n2. Backs up your existing `.opencode/` directory (if any).\n3. Deep-merges the plugin's `opencode.json` with your existing config (preserves your customizations).\n4. Offers to set up the container stack (PostgreSQL + sidecar + backend).\n   - Skips if `neuralgentics-postgres` is already running.\n   - Never overwrites an existing `.env` file.\n   - If `.env` is missing, copies `compose.example.env` and stops (lets you edit credentials before starting).\n5. Prints DB connection info after successful setup.\n\n## CLI Flags\n\nThe `init` command accepts these flags:\n\n| Flag | Default | Description |\n|------|---------|-------------|\n| `--embed-model {bge-m3|bge-large|all-MiniLM-L6-v2}` | bge-m3 | Embedding model. bge-m3 is multilingual 8K, bge-large is English 512, MiniLM is fast 384. |\n| `--quantize {fp32|fp16|int8}` | auto | Embedding model precision. Auto = fp16 on GPU, int8 on CPU. |\n| `--no-lazy-load` | false | Eager-load model at startup. Skip for default lazy mode. |\n| `--idle-min N` | 5 | Minutes of inactivity before sidecar unloads model. |\n| `--status-port N` | 50052 | HTTP port for sidecar /status endpoint. |\n| `--device {cpu|cuda}` | auto | Embedding model device. |\n| `--with-backend` | false | Set up local database containers. |\n| `--target DIR` | `.` | Directory to bootstrap. |\n| `--yes`, `-y` | false | Skip all confirmation prompts. |\n| `--dry-run` | false | Preview actions without writing. |\n| `--force` | false | Overwrite existing files. |\n| `--remodel` | false | Re-pick agent models based on `neuralgentics.config.json` and benchmark rankings. No reinstall needed. |\n\n### Examples\n\n```bash\n# Default — lazy load, int8 on CPU, no GPU detection\nnpx @veedubin/neuralgentics --init\n\n# GPU machine — use fp16, eager load\nnpx @veedubin/neuralgentics --init --quantize fp16 --no-lazy-load\n\n# Long-idle tolerance — don't unload for 30 min\nnpx @veedubin/neuralgentics --init --idle-min 30\n\n# Re-pick agent models after enabling Mammoth in config\nnpx @veedubin/neuralgentics --remodel\n```\n\n## Migrate Embeddings\n\nIf you're upgrading from a previous version that used BGE-Large, your existing memories need to be re-embedded with the new model (the vector geometry is different).\n\n```bash\n# Preview what will be migrated\nnpx @veedubin/neuralgentics migrate-embeddings --dry-run\n\n# Run the migration (safe — old vectors backed up automatically)\nnpx @veedubin/neuralgentics migrate-embeddings --from bge-large --to bge-m3\n\n# Options\n#   --from MODEL     Only migrate memories currently using this model (default: all)\n#   --to MODEL       Target model (default: bge-m3)\n#   --batch N        Memories per batch (default: 10)\n#   --no-backup      Don't preserve old vectors in embedding_legacy column\n```\n\nThe migration is safe to interrupt. Old vectors are preserved in `embedding_legacy` and `embedding_model_legacy` columns until you drop them manually.\n\n## Multi-model support (v0.12.0+)\n\nIf memories were stored with different embedding models over time (e.g., early memories with BGE-Large, later with BGE-M3), queries automatically merge results across all model spaces using RRF (Reciprocal Rank Fusion). Each model space is searched independently, and the rankings are fused by `score = sum(1 / (k + rank))`.\n\nNo action needed — this is the default behavior. To disable RRF and use only the active model's column:\n\n```bash\nENABLE_RRF=false\n```\n\n### Supported models\n\n| Model            | Dimensions | Column             | Notes                          |\n| ---------------- | ---------- | ------------------ | ------------------------------ |\n| `all-MiniLM-L6-v2` | 384        | `embedding`          | Original memini-ai default     |\n| `BAAI/bge-m3`      | 1024       | `embedding_bge_m3`  | New default since v0.11.0      |\n| `BAAI/bge-large-en-v1.5` | 1024 | `embedding_bge_large` | Used by neuralgentics Go backend |\n\n### When RRF helps\n\n- **Mixed-history installs**: Old memories (one model) + new memories (another model)\n- **Multi-user**: Different peers on the same DB using different models\n- **A/B testing**: Comparing retrieval quality between models\n\n## Manual Install\n\nIf you prefer not to use `--init`, add the plugin to your `.opencode/opencode.json`:\n\n```json\n{\n  \"plugins\": [\n    \"@veedubin/neuralgentics\"\n  ]\n}\n```\n\nThen run:\n\n```bash\nnpm install @veedubin/neuralgentics\n```\n\n## Requirements\n\n- Node.js 20+\n- OpenCode ^1.15.0\n- Docker or Podman (for the optional container stack)\n\n## Container Stack\n\nThe memory backend runs as a PostgreSQL container (default port 6200). The\nsidecar and backend services are optional and commented out in the shipped\ncompose file.\n\nStart the bundled stack (recommended):\n```bash\nnpx @veedubin/neuralgentics --db-start\n```\nThis writes `docker-compose.yml` + `.env` to `~/.memini-ai/`, generates a\nself-signed CA + server certificate for TLS, runs `compose up -d`, waits for\n`pg_isready`, then **offers to create your first database user** (recommended\n— don't share the default `memini` superuser). After a user is created it\nprints that user's DSN (with `sslmode=verify-full`) to paste into\n`--init-project`:\n```\npostgresql://<your-user>:<your-password>@localhost:5434/memini?sslmode=verify-full&sslrootcert=~/.memini-ai/certs/ca.crt\n```\n\n**TLS is enabled by default.** The generated stack runs PostgreSQL with\n`ssl=on` and mounts the generated certs. The DSN uses `sslmode=verify-full`\nwith `sslrootcert` pointing at the generated CA certificate, so connections\nare encrypted and authenticated. The server cert includes SANs for\n`localhost`, `127.0.0.1`, and the host's LAN IP (if detectable), so\n`verify-full` works when connecting via `localhost` (the default DSN host).\n\nCertificates are stored under `~/.memini-ai/certs/`:\n- `ca.crt` — CA certificate (used as `sslrootcert` on the client side)\n- `server.crt` — server certificate signed by the CA\n- `server.key` — server private key (0600 permissions)\n- `ca.key` — CA private key (0600 permissions, kept for future re-signing)\n\nRe-running `--db-start` on an existing stack does NOT regenerate or clobber\nexisting certificates (idempotent). Cert generation requires `openssl` on\nthe system PATH (available by default on Mac and Linux). If `openssl` is not\nfound, `--db-start` falls back to plaintext mode with a warning.\n\n**Opt out of TLS** with `--db-no-tls`:\n```bash\nnpx @veedubin/neuralgentics --db-start --db-no-tls\n```\nThis generates the old plaintext stack (no certs, no `ssl=on`, DSN without\n`sslmode`). Use this only if you have a specific reason to avoid TLS (e.g.\ndebugging, or a reverse proxy that handles TLS termination). Existing\nno-TLS stacks are never retrofitted with TLS — `--db-start` respects what's\nalready there.\n\nNon-interactive (for scripts / CI):\n```bash\nnpx @veedubin/neuralgentics --db-start --db-user alice --db-password 's3cret'\n# or skip user creation entirely:\nnpx @veedubin/neuralgentics --db-start --yes\n# plaintext mode (no TLS):\nnpx @veedubin/neuralgentics --db-start --db-no-tls --yes\n```\n\nStop the stack (volumes are preserved):\n```bash\nnpx @veedubin/neuralgentics --db-stop\n```\n\nManual start (if you prefer compose directly):\n```bash\ndocker compose -f ~/.neuralgentics/docker-compose.yml up -d\n# or\npodman-compose -f ~/.neuralgentics/docker-compose.yml up -d\n```\n\nThe shipped compose file ships a single PostgreSQL service:\n- **`db-server`** (container `${NEURALGENTICS_STACK_NAME:-neuralgentics}-db`):\n  PostgreSQL 18 + pgvector + TimescaleDB, port `${NEURALGENTICS_DB_PORT:-6200}`.\n  The service is named `db-server` (a generic, role-based name) so you can run\n  as many independent stacks as you want — see \"Multi-instance\" below.\n\nThe sidecar (embedding gRPC) and backend (Go JSON-RPC) services are commented\nout in the compose file — uncomment them only if you need multi-model\nembeddings or the team-server Go backend.\n\n### Why create your own user?\n\nThe default superuser (`neuralgentics`/`neuralgentics`) works, but it has full\nadministrative privileges — you shouldn't share it across people or machines.\n`--db-start`'s interactive offer creates a plain `CREATE USER` + `GRANT ALL\nPRIVILEGES ON DATABASE` (no superuser), so the new account can connect and\nread/write memories but can't drop the database or create other roles.\nUsernames must match `^[a-zA-Z_][a-zA-Z0-9_]*$` (letters, digits, underscore;\nmust start with a letter or underscore) — this prevents SQL injection in the\nidentifier. Passwords are single-quote-escaped (`'` → `''`) in the SQL\nliteral. If you decline the offer, `--db-start` prints the exact `podman exec`\npsql one-liner you can run later.\n\n### Multi-instance (run several stacks side by side)\n\nEvery resource in the compose file is parameterised by\n`${NEURALGENTICS_STACK_NAME:-neuralgentics}`:\n- container name: `${STACK}-db`\n- volume name: `${STACK}-db` (via the volume's `name:` property)\n- network name: `${STACK}-net`\n\nSo you can run a second stack alongside the first by copying the env file,\nsetting a different stack name AND a different port, and pointing at the new\nenv file:\n```bash\ncp ~/.neuralgentics/compose.example.env ~/.neuralgentics/.env.proj2\n# edit .env.proj2:\n#   NEURALGENTICS_STACK_NAME=neuralgentics-proj2\n#   NEURALGENTICS_DB_PORT=6300\npodman-compose --env-file ~/.neuralgentics/.env.proj2 up -d\n```\nBoth stacks share the same `docker-compose.yml` — only the env file differs.\nRun `neuralgentics --db-start --db-user <name>` once per stack to create its\nfirst database user.\n\n### Team server mode (connect-to-existing, config-only install)\n\n`--init-project` team mode is **connect-to-existing only**. The old\n\"I'll create it\" option (which was a no-op lie) has been removed. If you\ndon't have a PostgreSQL server yet, run `neuralgentics --db-start` first.\n\nThe installer **never touches the team database** — no probe, no migration,\nno pass/fail block. It just writes the config (DSN in `.env`) and prints an\ninformational note. memini-ai auto-creates its tables (`CREATE EXTENSION/TABLE\nIF NOT EXISTS`) on first MCP launch, so install-time migration is unnecessary.\nMake sure PostgreSQL is running before launching opencode.\n\n## What You Get\n\n- **Memory System**: Trust-weighted memory with PostgreSQL + pgvector, tiered loading (L0/L1/L2), and context continuity across sessions.\n- **MCP Broker**: Permissions-based routing for 20+ MCP servers (GitHub, GitLab, filesystem, PostgreSQL, SQLite, Puppeteer, Playwright, etc.).\n- **Orchestration**: 9-step Boomerang Protocol (Memory Query → Thought Chain → Planning → Delegation → Git Check → Quality Gates → IMPROVE → Doc Update → Memory Save).\n- **Self-Evolution**: Auto-creates skills from repeated session patterns.\n- **Kanban Board**: Tracks tasks in `TASKS.md` (triage, todo, ready, running, blocked, done, archived).\n\n## Model Selection & Remodeling\n\nNeuralgentics lets you **dynamically re-pick which LLM model each agent uses** without reinstalling. This is useful when:\n\n- You want to switch providers (e.g., enable Mammoth, disable Kimi)\n- New benchmark rankings favor different models\n- You want to override a specific agent's model\n\n### How It Works\n\n1. **Edit `neuralgentics.config.json`** to enable/disable providers and set per-agent overrides.\n2. **Run `npx @veedubin/neuralgentics --remodel`** to re-pick models based on your config and the latest benchmark rankings.\n3. The command patches the `model:` line in each agent's YAML frontmatter — your overrides (body content) are **never touched**.\n\n### Example Workflow\n\n1. Enable Mammoth and disable Kimi in `neuralgentics.config.json`:\n   ```json\n   {\n     \"version\": \"1.0.0\",\n     \"providers\": {\n       \"ollama\": { \"enabled\": true },\n       \"mammoth\": { \"enabled\": true },\n       \"kimi\": { \"enabled\": false }\n     }\n   }\n   ```\n2. Run the remodel command:\n   ```bash\n   npx @veedubin/neuralgentics --remodel\n   ```\n3. Agents now use the best available Mammoth models for their roles.\n\n### Config File Reference\n\n| Field | Type | Description |\n|-------|------|-------------|\n| `version` | string | Schema version (use `\"1.0.0\"`). |\n| `providers` | object | Map of providers to enable/disable. |\n| `providers.<name>.enabled` | boolean | Whether the provider is enabled. |\n| `providers.<name>.apiKeyEnv` | string | Environment variable for the API key. |\n| `overrides` | object | Optional per-agent model overrides. |\n\n### Notes\n\n- Benchmark rankings are sourced from `presets.json`, which is auto-updated daily by GitHub Actions.\n- Overrides take priority over benchmark rankings.\n- The `overrides/` directory (body content) is **never modified** by `--remodel`.\n\n## Personalizing Agents\n\nNeuralgentics supports **user overrides** to customize agent personas without losing your changes during updates. This is ideal for adding project-specific instructions, coding standards, or workflow preferences.\n\n### How It Works\n\n1. **Directory**: `.opencode/overrides/`\n2. **File Naming**: Create a file with the same name as an agent (e.g., `overrides/coder.md` for `agents/coder.md`).\n3. **Content**: Only the markdown body is appended to the default agent file. YAML frontmatter is stripped.\n4. **Preservation**: The `overrides/` directory is never modified by Neuralgentics updates.\n5. **Idempotent**: Re-running `--init` or `--update` does not double-append your overrides.\n\n### Example\n\nCreate `.opencode/overrides/coder.md`:\n\n```markdown\n## Project-Specific Standards\n\n- Use TypeScript for all new frontend features.\n- Prefer functional components over class components.\n- Always include JSDoc comments for public APIs.\n- Run `bun run lint --fix` before committing.\n```\n\nAfter running `npx @veedubin/neuralgentics --init` or `--update`, the `coder.md` agent file will include your custom instructions at the bottom.\n\n### Notes\n\n- Orphaned overrides (no matching agent) produce a warning but are preserved.\n- Overrides are **user-owned** — they persist across updates and are never overwritten.\n\n## License\n\nMIT\n\n## Links\n\n- [GitHub Repository](https://github.com/Veedubin/neuralgentics)\n- [Documentation](https://veedubin.github.io/neuralgentics/)","readmeFilename":"README.md"}