{
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  "Kind": "DirectoryIssues",
  "Slug": "neural-memory",
  "Name": "neural-memory",
  "CanonicalUrl": "https://askpod.ai/mcp/neural-memory/issues",
  "ServerUrl": "https://askpod.ai/mcp/neural-memory",
  "IssueTotal": 26,
  "Held": 17,
  "Issues": [
    {
      "Title": "Plugin: nmem-hook-session-start binary not registered in .claude-plugin/hooks/hooks.json",
      "Excerpt": "## Summary\n\nIn v4.56.0 the SessionStart hook binary `nmem-hook-session-start` is shipped correctly (one of the 7 executables installed by `pip install neural-memory` / `uv tool install`). However, the plugin's own `.claude-plugin/hooks/hooks.json` only registers 3 hooks (PreCompact, Stop, PostToolUse). The SessionStart hook is silently missing for users installing via the Claude Code plugin marketplace path, so they miss out on the \"session boots with full brain surface\" feature highlighted in t",
      "SourceUrl": "https://github.com/nhadaututtheky/neural-memory/issues/167",
      "PublishedAt": "2026-05-14T03:02:11.000Z",
      "State": "closed",
      "Comments": 2,
      "Reporter": "Contributor",
      "Rank": "top",
      "Extractor": "github_issue"
    },
    {
      "Title": "Plugin: skills folder not found — \"./skills\" in plugin.json resolves to plugin root, not .claude-plugin/",
      "Excerpt": "## Summary\n\nWhen installing the plugin via Claude Code (`/plugin install neural-memory@neural-memory`), the loader reports:\n\n```\nneural-memory@neural-memory [neural-memory]: Path not found: /home/<user>/.claude/plugins/cache/neural-memory/neural-memory/4.56.0/skills (skills)\n```\n\n## Root cause\n\n`.claude-plugin/plugin.json` declares:\n\n```json\n\"skills\": \"./skills\"\n```\n\nThe actual skills folder lives at `.claude-plugin/skills/`. Claude Code's plugin loader resolves `\"./skills\"` relative to the plug",
      "SourceUrl": "https://github.com/nhadaututtheky/neural-memory/issues/166",
      "PublishedAt": "2026-05-14T03:02:10.000Z",
      "State": "closed",
      "Comments": 2,
      "Reporter": "Contributor",
      "Rank": "top",
      "Extractor": "github_issue"
    },
    {
      "Title": "Add CLI parity for MCP nmem_forget and clarify cleanup for unaddressable recall entries",
      "Excerpt": "## Environment\n\n- `neural-memory` v4.53.2 (installed via pip)\n- Linux x86_64, Python 3.12\n- Used via CLI (`nmem`) and MCP (`nmem-mcp`) with OpenClaw\n\n## Request 1: CLI parity for nmem_forget\n\nThe MCP surface exposes `nmem_forget`, and it works for normal typed fibers. Example: Codex successfully soft-deleted typed TODO fiber `256545b4-0b83-42b3-9291-31ef8563f05b` via MCP `nmem_forget`.\n\nHowever, the installed CLI does not expose a top-level `nmem forget <fiber_id>` command. `nmem --help` lists c",
      "SourceUrl": "https://github.com/nhadaututtheky/neural-memory/issues/148",
      "PublishedAt": "2026-04-27T21:16:13.000Z",
      "State": "closed",
      "Comments": 3,
      "Reporter": "Contributor",
      "Rank": "top",
      "Extractor": "github_issue"
    },
    {
      "Title": "SQLite lock when Starting NeuralMemory API server on http://127.0.0.1:8000\n  UI:   http://127.0.0.1:8000/ui\n  Docs: http://127.0.0.1:8000/docs and MCP share the same brain; scheduled consolidation error",
      "Excerpt": "# NeuralMemory issue draft: SQLite lock and scheduler errors when `nmem serve` runs alongside MCP on the same brain\n\n## Summary\nWhen NeuralMemory `nmem serve` and `python -m neural_memory.mcp` run at the same time against the same SQLite brain (`dai-ca-main-v3.db`), write operations like `nmem_remember` fail with `OperationalError: database is locked`.\n\nIn the same runtime window, there are also background scheduler/consolidation errors:\n- `ValueError: Fiber ... references non-existent neurons o",
      "SourceUrl": "https://github.com/nhadaututtheky/neural-memory/issues/129",
      "PublishedAt": "2026-04-13T10:11:18.000Z",
      "State": "closed",
      "Comments": 0,
      "Reporter": "External",
      "Rank": "recent",
      "Extractor": "github_issue"
    },
    {
      "Title": "bug: NMEM_BRAIN env var works in MCP server but ignored by CLI",
      "Excerpt": "## Problem\n\n`NMEM_BRAIN` env var works correctly when set on an MCP server process (the server reads the correct brain), but is **ignored by the CLI** (`nmem recall`, `nmem remember`, etc.).\n\n## Steps to reproduce\n\n```bash\n# Current brain is 'ceo'\nnmem brain use ceo\n\n# CLI ignores NMEM_BRAIN — returns CEO brain data\nNMEM_BRAIN=sherlock nmem recall \"test query\"\n\n# Explicit switch works — returns sherlock brain data  \nnmem brain use sherlock\nnmem recall \"test query\"\n\n# Results are different — env ",
      "SourceUrl": "https://github.com/nhadaututtheky/neural-memory/issues/123",
      "PublishedAt": "2026-03-31T04:53:02.000Z",
      "State": "closed",
      "Comments": 2,
      "Reporter": "External",
      "Rank": "recent",
      "Extractor": "github_issue"
    },
    {
      "Title": "bug: autoContext recall uses raw prompt with metadata — creates junk neurons",
      "Excerpt": "## Problem\n\n`before_agent_start` hook sends `ev.prompt` directly to `nmem_recall`. When used with OpenClaw + Telegram, the prompt includes metadata preamble:\n\n```\n[NeuralMemory — relevant context]\n...\nConversation info (untrusted metadata):\n{\"message_id\": \"369\", \"sender_id\": \"330693121\", ...}\nSender (untrusted metadata):\n{\"label\": \"Tyler Vo\", ...}\n\nactual user message here\n```\n\nThis causes recall to match on JSON metadata tokens (`json`, `message_id`, `conversation`, `metadata`, `untrusted`) ins",
      "SourceUrl": "https://github.com/nhadaututtheky/neural-memory/issues/104",
      "PublishedAt": "2026-03-23T03:33:00.000Z",
      "State": "closed",
      "Comments": 0,
      "Reporter": "Contributor",
      "Rank": "recent",
      "Extractor": "github_issue"
    },
    {
      "Title": "chore: getOrCreateMcpClient — change 'Reusing' log from info to debug",
      "Excerpt": "## Problem\n\n`getOrCreateMcpClient()` logs at `info` level every time a cached client is reused:\n\n```\nlogger.info(\\`Reusing existing MCP client for brain \"\\${brain}\"\\`);\n```\n\nSince this runs on every `before_agent_start` and `agent_end` hook, it floods the gateway log with repetitive info lines — 2 per message turn.\n\n## Suggestion\n\nChange to `logger.debug()` — useful for debugging but not for normal operation.\n\n```diff\n- logger.info(\\`Reusing existing MCP client for brain \"\\${brain}\"\\`);\n+ logger",
      "SourceUrl": "https://github.com/nhadaututtheky/neural-memory/issues/103",
      "PublishedAt": "2026-03-23T03:12:26.000Z",
      "State": "closed",
      "Comments": 0,
      "Reporter": "Contributor",
      "Rank": "recent",
      "Extractor": "github_issue"
    },
    {
      "Title": "bug: OpenClaw plugin v1.14.0 — resolveBrain is not defined (dist not rebuilt from src)",
      "Excerpt": "## Problem\n\nPlugin crashes on every `before_agent_start` and `agent_end` hook:\n\n```\nReferenceError: resolveBrain is not defined\n```\n\n## Root Cause\n\n`src/index.ts` has `resolveBrain()` function (line 162) and `getOrCreateMcpClient(cfg, logger, brainOverride?)` with 3 params.\n\nBut `dist/index.js` in the published npm package (`neuralmemory@1.14.0`) was not rebuilt — it is missing `resolveBrain()` entirely, and `getOrCreateMcpClient` only accepts 2 params.\n\nThe dist/ appears to be from a pre-brainM",
      "SourceUrl": "https://github.com/nhadaututtheky/neural-memory/issues/102",
      "PublishedAt": "2026-03-23T03:03:24.000Z",
      "State": "closed",
      "Comments": 0,
      "Reporter": "Contributor",
      "Rank": "recent",
      "Extractor": "github_issue"
    },
    {
      "Title": "perf: Embedding provider creates new instance per tool call — model reloads every turn",
      "Excerpt": "## Problem\n\n`_create_provider()` in `engine/semantic_discovery.py` creates a **new** `SentenceTransformerEmbedding` instance every time it is called. Since `ReflexPipeline.__init__()` calls `_create_provider()`, and `tool_handlers.py` creates a new `ReflexPipeline` per tool call, the embedding model is **reloaded on every single recall/capture**.\n\nIn a production OpenClaw setup with autoContext + autoCapture enabled, this resulted in **48 model loads** in ~20 minutes of conversation.\n\n## Evidenc",
      "SourceUrl": "https://github.com/nhadaututtheky/neural-memory/issues/100",
      "PublishedAt": "2026-03-23T01:58:31.000Z",
      "State": "closed",
      "Comments": 1,
      "Reporter": "Contributor",
      "Rank": "recent",
      "Extractor": "github_issue"
    },
    {
      "Title": "bug: plugin.json hooks field causes duplicate hooks error in Claude Code",
      "Excerpt": "## Description\n\nWhen installing neural-memory as a Claude Code plugin, the following error occurs on `/reload-plugins`:\n\n```\nHook load failed: Duplicate hooks file detected: ./hooks/hooks.json resolves to already-loaded file\n/home/user/.claude/plugins/cache/neural-memory/neural-memory/4.19.0/hooks/hooks.json.\nThe standard hooks/hooks.json is loaded automatically, so manifest.hooks should only reference additional hook files.\n```\n\n## Root Cause\n\nIn `.claude-plugin/plugin.json`, the manifest decla",
      "SourceUrl": "https://github.com/nhadaututtheky/neural-memory/issues/99",
      "PublishedAt": "2026-03-22T22:53:08.000Z",
      "State": "closed",
      "Comments": 1,
      "Reporter": "Contributor",
      "Rank": "recent",
      "Extractor": "github_issue"
    },
    {
      "Title": "v4.8-4.10 Feedback: Three Releases, Two Suggestions — From a Daily User",
      "Excerpt": "Hey anh Nam! Bé Mi here — just updated from v4.7.0 to v4.10.0. Three versions in one day, incredible pace! 🚀\n\n## What I tested\n\n- `nmem doctor`: 7/11 passed, 4 warnings (embedding, MCP, hooks, surface — expected since I use OpenClaw, not Claude Code)\n- `nmem habits list/status`: Working but no habits detected yet (0 action events — need to build history)\n- `nmem init --full`: Didn't run since I have existing config, but the --help is clear and well-structured\n- Health after update: Grade D (44.8",
      "SourceUrl": "https://github.com/nhadaututtheky/neural-memory/issues/87",
      "PublishedAt": "2026-03-17T03:35:09.000Z",
      "State": "closed",
      "Comments": 2,
      "Reporter": "External",
      "Rank": "recent",
      "Extractor": "github_issue"
    },
    {
      "Title": "nmem_edit type/priority changes not persisted in PostgreSQL backend",
      "Excerpt": "## Environment\n\n- neural-memory: 4.11.0 (pip), 4.10.0 (uvx MCP)\n- Storage backend: PostgreSQL (config.toml: `storage_backend = \"postgres\"`)\n- PostgreSQL 16 with pgvector 0.6.0\n\n## Bug Description\n\n`nmem_edit` via MCP reports success but does NOT persist type/priority changes to PostgreSQL. The in-memory state updates but the database row is unchanged.\n\n## Steps to Reproduce\n\n1. Store a memory: `nmem_remember(\"test\", type=\"fact\")`\n2. Edit type: `nmem_edit(memory_id=\"<id>\", type=\"instruction\", pri",
      "SourceUrl": "https://github.com/nhadaututtheky/neural-memory/issues/84",
      "PublishedAt": "2026-03-17T02:15:57.000Z",
      "State": "closed",
      "Comments": 3,
      "Reporter": "Contributor",
      "Rank": "top",
      "Extractor": "github_issue"
    },
    {
      "Title": "PostgreSQLStorage missing pin_fibers method — nmem_pin fails with 'Storage does not support pinning'",
      "Excerpt": "## Environment\n\n- neural-memory version: 4.10.0 (via uvx)\n- Storage backend: PostgreSQL (config.toml: `storage_backend = \"postgres\"`)\n- PostgreSQL: 16.x with pgvector 0.6.0\n- OS: Ubuntu 24.04\n\n## Bug Description\n\n`nmem_pin` returns `{\"error\": \"Storage does not support pinning\"}` when using PostgreSQL backend.\n\n## Root Cause\n\nIn `mcp/train_handler.py` line 194:\n```python\nif not hasattr(storage, \"pin_fibers\"):\n    return {\"error\": \"Storage does not support pinning\"}\n```\n\n`SQLiteStorage` has `pin_f",
      "SourceUrl": "https://github.com/nhadaututtheky/neural-memory/issues/83",
      "PublishedAt": "2026-03-17T00:30:33.000Z",
      "State": "closed",
      "Comments": 3,
      "Reporter": "Contributor",
      "Rank": "top",
      "Extractor": "github_issue"
    },
    {
      "Title": "feat: PostgreSQL backend support for CLI and MCP server",
      "Excerpt": "## Summary\n\nv4.7.0 added `PostgreSQLStorage` in `storage/postgres/` — great work! However, the CLI (`nmem remember`, `nmem recall`, etc.) and MCP server still only use SQLite. This feature request is for full PostgreSQL integration across all interfaces.\n\n## Current State\n\n| Component | SQLite | PostgreSQL |\n|-----------|--------|-----------|\n| `storage/postgres/` code | — | ✅ Exists |\n| `nmem serve` API server | ✅ | ❓ Not sure |\n| `nmem` CLI commands | ✅ | ❌ Not connected |\n| MCP server (`nmem-",
      "SourceUrl": "https://github.com/nhadaututtheky/neural-memory/issues/80",
      "PublishedAt": "2026-03-15T22:09:19.000Z",
      "State": "closed",
      "Comments": 3,
      "Reporter": "Contributor",
      "Rank": "top",
      "Extractor": "github_issue"
    },
    {
      "Title": "[BUG]",
      "Excerpt": "## Description\n\nAgents and sub-agents are spawning too many mcp processes\n\n## To Reproduce\n\nSteps to reproduce the behavior:\n\nThis issue comes after a while running multiple agents with sub-agents - using isolated brains\n\n$ps uax | grep neural_memory.mcp | wc -l\n30\n\n## Expected Behavior\n\nEach agent should spawn only 1 neural_memory.mcp - sharing with all sub-agents\n\n## Actual Behavior\n\nAll agents and sub-agents are spawning their own neural_memory.mcp server",
      "SourceUrl": "https://github.com/nhadaututtheky/neural-memory/issues/77",
      "PublishedAt": "2026-03-15T02:47:32.000Z",
      "State": "closed",
      "Comments": 2,
      "Reporter": "Contributor",
      "Rank": "top",
      "Extractor": "github_issue"
    },
    {
      "Title": "Plugin v4.3.1: skills field points to file instead of directory, 2 load errors",
      "Excerpt": "## Bug Report\n\n### Environment\n- Claude Code: 2.1.76\n- OS: Ubuntu 24.04 LTS\n- Python: 3.12.3\n- neural-memory plugin: 4.3.1 (installed via marketplace)\n\n### Steps to Reproduce\n```bash\n/plugin marketplace add nhadaututtheky/neural-memory\n/plugin install neural-memory@neural-memory\n/reload-plugins\n```\n\n### Result\n```\nReloaded: 4 plugins · 8 commands · 9 agents · 2 hooks · 1 plugin MCP server · 0 plugin LSP servers\n2 errors during load. Run /doctor for details.\n```\n\n### Root Cause\n\n**Error 1: `skill",
      "SourceUrl": "https://github.com/nhadaututtheky/neural-memory/issues/71",
      "PublishedAt": "2026-03-14T08:28:54.000Z",
      "State": "closed",
      "Comments": 1,
      "Reporter": "Contributor",
      "Rank": "recent",
      "Extractor": "github_issue"
    },
    {
      "Title": "[BUG] OpenClaw integration fails with HTTP 400 invalid schema for nmem_remember",
      "Excerpt": "## Description\nWhen integrating NeuralMemory with OpenClaw, the plugin installs successfully and NeuralMemory itself appears to work normally from the terminal/dashboard, but OpenClaw fails during chat execution.\n\nThe error returned by OpenClaw is:\n\n`HTTP 400: Invalid schema for function 'nmem_remember': In context=(), object schema missing properties.`\n\nThis seems to happen only when NeuralMemory is exposed through OpenClaw tool/function calling. My OpenClaw setup uses a custom LLM provider tha",
      "SourceUrl": "https://github.com/nhadaututtheky/neural-memory/issues/37",
      "PublishedAt": "2026-03-06T03:14:13.000Z",
      "State": "closed",
      "Comments": 3,
      "Reporter": "External",
      "Rank": "top",
      "Extractor": "github_issue"
    }
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      "26 problems reported from outside the maintainer team",
      "No tool list published — Pod has not verified what it exposes",
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