io.github.varun29ankuS/shodh-memory MCP Server

Cognitive memory for AI agents — semantic search, Hebbian learning, knowledge graphs.

Publisher claimed. No tool list reported, and Pod has not connected to this server.

Status

Pod has not dialled io.github.varun29ankuS/shodh-memory yet, so everything on this page is what its publisher reported rather than what we observed. Registries describe servers; they do not connect to them. Until a check runs, treat the tool list below as a claim.

Connect

Published as @shodh/memory-mcp on npm. Runs locally.

Known issues

13 problems reported by people outside the maintainer team. Issues filed by the project's own owners, members and collaborators are excluded — those are release checklists and internal refactors, not things that will go wrong for you. Showing 10.

Most discussed

[Feature request] A flag to return complete memories contents on proactive_context and recall tools calls

This is a feature request that came from my daily shodh usage over a long period.

I was sometimes looking at tool call returns and assumed that the truncated/summary-like text I saw was just a display thing - that agents were actually receiving the full memory content. This turned out not to be true. recall and proactive_context tools return only a short fragment per memory - with no indication (or mention in the sparse docs) that the content IS actually incomplete. However, this is fully o

Read the thread · 2026-07-14 · closed · external user · 4 comments

proactive_context returns empty while recall finds exact memory at 0.95

Summary

In practice, proactive_context has never surfaced useful memories for my workflows across projects/chats. I am reporting this specific reproducible case because it shows the pattern clearly: the same memory is returned by /api/recall at high confidence, but /api/proactive_context returns no results.

Environment

• Shodh backend: 0.2.0
• Package: @shodh/memory-mcp@0.2.0
• Backend health: {"status":"healthy","version":"0.2.0"}
• Index verification: healthy, 12491 memo

Read the thread · 2026-05-17 · closed · external user · 5 comments

Server relibility

As I am running a long single CC session the shodh server keeps failing with CC returning Error: Failed after 3 attempts: API error 500: {"code":"INTERNAL_ERROR","message":"Internal error: Failed to initialize memory system for user 'claude-code'".

I can just do /mcp -> find shodh and select reconnect, which restarts the server. But Claude can't do this himself and these failures makes shodh practically useless since when Claude wants to recall a memory the server is not available and he ju

Read the thread · 2026-03-19 · closed · external user · 7 comments

Windows: spawn EINVAL + truncated UUIDs break forget/read_memory

Bug 1: spawn EINVAL on Windows — server fails to auto-start

Problem

On Windows, ensureServerRunning() calls spawn(binaryPath, [], { detached: true, ... }). The getBinaryPath() function prefers shodh-memory.bat over shodh-memory-server.exe. Node.js spawn() with detached: true cannot spawn .bat files on Windows — it throws EINVAL.

Error: spawn EINVAL
    at ChildProcess.spawn (node:internal/child_process:421:11)
    at ensureServerRunning (dist/index.js:7969:19

[Read the thread](https://github.com/varun29ankuS/shodh-memory/issues/98) · 2026-03-09 · closed · external user · 1 comment

### `mode: "semantic"` recall is 5-10x slower than expected — graph traversal runs regardless of mode

## Description

When calling `recall` with `mode: "semantic"`, callers expect fast vector-only retrieval (Layer 1 + BM25) without graph I/O. In practice, Layer 2 graph traversal executes unconditionally for all modes, making semantic recall significantly slower than it should be and vulnerable to write lock contention from concurrent `remember` operations.

This matters for MCP integrations (e.g., Claude Code) where `recall` is called frequently and latency directly impacts responsiveness. Seman

[Read the thread](https://github.com/varun29ankuS/shodh-memory/issues/95) · 2026-03-07 · closed · external user · 1 comment

### Most recent

### Server version seems to be hardcoded to version "0.1.90"

Hello, basically issue is as written in the title. I didn't dig much into this, but:

curl -X GET http://localhost:3030/health { "status":"healthy","version":"0.2.0", ... }

while at the exact same time logs shows:

[Stream] WebSocket connected to ws://127.0.0.1:3030/api/stream ... [shodh-memory] Backend server started successfully Shodh-Memory MCP server v0.1.90 running Connecting to: http://127.0.0.1:3030

and `grep`ping for string "0.1.90" returns 2 matches:

~ % grep -c

Read the thread · 2026-07-02 · closed · external user · 0 comments

Cannot use remote (production) server

Steps to repro:

1. Initialize named volume shodh-data on remote server
2. Initialize shodh-memory on remote server
3. Intitialize reverse proxy pointing to port 5910
4. Use curl to retrieve health endpoint to verify connectivity
5. Update mcp settings for Claude Code
6. Launch Claude code with debug flag
7. check /mcp to verify Claude thinks it is connected
8. test the shodh-memory MCP server with: shodh-memory - memory_stats() (MCP)

● I'll test the shodh-memory MCP server by c

Read the thread · 2026-03-31 · closed · external user · 0 comments

SHODH_API_KEY in mcp client and SHODH_API_KEYS in server/TUI mismatch

The server is accepting the dev API key fine. So the issue is between the MCP npm package (@shodh/memory-mcp) and the shodh server. Let me check how the MCP package is configured and what key it's actually sending.

Searched for 1 pattern, read 3 files (ctrl+o to expand)

⏺ There it is. The MCP package reads SHODH_API_KEY (singular), but your env has SHODH_API_KEYS (plural) and SHODH_DEV_API_KEY. Since SHODH_API_KEY isn't set, it auto-generates a random key which doesn't match the serv

Read the thread · 2026-03-19 · closed · external user · 0 comments

Default data directory should be ~/.shodh/, not cwd

Problem

When SHODH_MEMORY_PATH is not set, shodh-memory defaults to storing its database in the current working directory (./shodh_memory_data/). This is whatever directory the MCP server process happens to start in — typically the user's project folder.

This causes several problems:

1. Database lands inside git repos — 28MB of RocksDB files polluting project directories
2. Silent data loss — If the user opens Claude Code from a different project directory, shodh creates a

Read the thread · 2026-03-03 · closed · external user · 1 comment

proactive_context crashes: Cannot read properties of undefined (reading 'toFixed')

Bug

proactive_context tool always throws:

Error: Cannot read properties of undefined (reading 'toFixed')

Root Cause

In dist/index.js, the proactive_context handler accesses result.latency_ms.toFixed(1) at two locations without null-checking. The Rust backend returns result.latency_ms as undefined, causing the crash.

Line 6582 (empty results path):

[Latency: ${result.latency_ms.toFixed(1)}ms]`;

Line 6719 (results found path):

[Latency: ${res

[Read the thread](https://github.com/varun29ankuS/shodh-memory/issues/88) · 2026-03-03 · closed · external user · 1 comment

[See all 13 reports Pod holds for io.github.varun29ankuS/shodh-memory](/mcp/io-github-varun29ankus-shodh-memory/issues).

## Firsthand observations

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