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  1. Home
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  3. Neurohive
  4. vs Project Tessera
Side-by-Side Model Context Protocol Comparison

Neurohive vs Project Tessera

In-depth architectural comparison of the Neurohive and Project Tessera MCP servers. Compare execution transports, security boundaries, tool capabilities, quality scores, and ready-to-paste client installation snippets for Claude, Cursor, Windsurf, and VS Code.

At a Glance & Executive Verdict

Neurohive
Knowledge & Memory · Local stdio
Quality: 47/100 (Fair) | Auth: No auth required
Project Tessera
Knowledge & Memory · Local stdio
Quality: 56/100 (Good) | Auth: No auth required
Verdict Summary: Choose Neurohive if you need specialized Knowledge & Memory tools running via a local process. Choose Project Tessera if your workspace requires Knowledge & Memory integration with local subprocess execution. Both servers can be configured concurrently in your client's mcpServers manifest.

Which MCP Server Should You Choose?

Neurohive logo

Choose Neurohive when:

  • You need dedicated capabilities in the Knowledge & Memory domain.
  • You prefer local stdio subprocess transport architecture.
  • Your security boundary fits: No auth required (Free / Open Source).
  • Primary tools included: store_memory, search_memory, recall_memory.
Explore Neurohive Details
Project Tessera logo

Choose Project Tessera when:

  • You need dedicated capabilities in the Knowledge & Memory domain.
  • You prefer local stdio subprocess transport architecture.
  • Your security boundary fits: No auth required (Free / Open Source).
  • You have access to required keys: TESSERA_VAULT_KEY.
  • Primary tools included: search_documents, unified_search, view_file_full.
Explore Project Tessera Details

Feature & Specification Comparison

Specification
Neurohive logo
Neurohive
Knowledge & Memory
Project Tessera logo
Project Tessera
besslframework-stack
Knowledge & Memory
SummaryMulti-agent memory intelligence with expertise tracking and conflict detectionLocal workspace memory for Claude Desktop. Indexes your documents (Markdown, CSV, session logs) into a vector store with hybrid search, cross-session memory, auto-learn, and knowledge graph visualization. Zero external dependencies — fastembed + LanceDB, no Ollama or Docker required. 15 MCP tools.
Category & ScopeKnowledge & Memory

Tools & Capabilities Breakdown

Neurohive Tools (16)

store_memory
Store memory with hive annotations
search_memory
Hybrid search with cross-agent attribution
recall_memory
Recall by ID, namespace, category, or tags
forget_memory
Soft-delete memories by filter
consolidate
Merge duplicates, decay stale, prune low-value
memory_stats
Count, category, and trust-level statistics

Ready-to-Paste Client Configurations

Paste either (or both) of these JSON server blocks into your client config file (e.g. claude_desktop_config.json or ~/.cursor/mcp.json).

Neurohive Configuration
mcpServers (Claude Desktop / Cursor)
{
  "mcpServers": {
    "neurohive": {
      "command": "npx",
      "args": [
        "-y",
        "neurohive"
      ]
    }
  }
}
Project Tessera Configuration
mcpServers (Claude Desktop / Cursor)
{
  "mcpServers": {
    "besslframework-stack-project-tessera": {
      "command": "uvx",
      "args": [
        "--from",
        "project-tessera",
        "tessera"
      ],
      "env": {
        "TESSERA_VAULT_KEY": "YOUR_TESSERA_VAULT_KEY_HERE"
      }
    }
  }
}

Frequently Asked Questions

Neurohive is categorized under Knowledge & Memory and uses a local stdio subprocess. In contrast, Project Tessera belongs to Knowledge & Memory using local stdio subprocess. Select Neurohive when you need capabilities focused on knowledge & memory and Project Tessera when you require tools for knowledge & memory.

More alternatives to NeurohiveMore alternatives to Project TesseraKnowledge & Memory category hubCanonical compare URL

Related MCP Server Comparisons

Popular comparisons with Neurohive

  • Moxie Docs MCP logoNeurohive vs Moxie Docs MCP
  • Scrivener MCP logoNeurohive vs Scrivener MCP
  • Codebase Memory MCP logoNeurohive vs Codebase Memory MCP
  • Shodh Memory logoNeurohive vs Shodh Memory

Popular comparisons with Project Tessera

Knowledge & Memory
Quality signal47/100 (Fair)56/100 (Good)
Transport ProtocolLocal Subprocess (stdio)Local Subprocess (stdio)
Auth RequirementNo auth requiredNo auth required
Pricing ModelFree / Open SourceFree / Open Source
Required Env VarsNone required
TESSERA_VAULT_KEY
Compatible Clients
Claude DesktopCursorWindsurfClineVS Code
Claude DesktopCursorWindsurfClineVS Code
Install path signalnpx · highuvx · high
Engagement & Health 0 views 0 copies 0 upvotes 1 stars 2 views 0 copies 0 upvotes 17 stars
Verified / OfficialCommunity ListingCommunity Listing
Open full listingView Neurohive ListingView Project Tessera Listing
export_memories
Export as JSONL or JSON
import_memories
Import with deduplication
backfill_embeddings
Recompute missing embeddings
create_entity
Create/update knowledge graph entity
create_relation
Link entities in knowledge graph
query_graph
Traverse knowledge graph
+4 more tools listed on main page

Project Tessera Tools (53)

search_documents
Semantic + keyword hybrid search across all docs
unified_search
Search documents AND memories in one call
view_file_full
Full file view (CSV as table, XLSX per sheet)
read_file
Read any file's full content
list_sources
See what's indexed
remember
Save knowledge that persists across sessions
recall
Search past memories with date/category filters
learn
Save and immediately index new knowledge
list_memories
Browse saved memories
forget_memory
Delete a specific memory
export_memories
Batch export all memories as JSON
import_memories
Batch import memories from JSON
+41 more tools listed on main page
Shodh Memory logo
Project Tessera vs Shodh Memory
  • Moxie Docs MCP logoProject Tessera vs Moxie Docs MCP
  • MarsNMe logoProject Tessera vs MarsNMe
  • Engram MCP logoProject Tessera vs Engram MCP