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  1. Home
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  3. Context Mem
  4. vs Agent Recall
Side-by-Side Model Context Protocol Comparison

Context Mem vs Agent Recall

In-depth architectural comparison of the Context Mem and Agent Recall 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

Context Mem
Knowledge & Memory · Local stdio
Quality: 55/100 (Good) | Auth: No auth required
Agent Recall
Knowledge & Memory · Local stdio
Quality: 65/100 (Great) | Auth: No auth required
Verdict Summary: Choose Context Mem if you need specialized Knowledge & Memory tools running via a local process. Choose Agent Recall 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?

Context Mem logo

Choose Context Mem 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: observe, recall, search.
Explore Context Mem Details
Agent Recall logo

Choose Agent Recall 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: session_start, session_end, remember.
Explore Agent Recall Details

Feature & Specification Comparison

Specification
Context Mem logo
Context Mem
Knowledge & Memory
Agent Recall logo
Agent Recall
Knowledge & Memory
SummaryPersistent memory for AI agents — 98%+ retrieval recall, 99% token savings, 44 toolsCorrection-first agent memory. Precision KPI tracks if agents heed warnings. 5 layers, local-only.
Category & ScopeKnowledge & MemoryKnowledge & Memory

Tools & Capabilities Breakdown

Context Mem Tools (39)

observe
Store observation with auto-summarization, importance scoring, entity extraction, topic detection
recall
Retrieve verbatim content by filter (importance, type, flag, time)
search
Hybrid search (BM25 + vector + optional LLM judge)
ask
Natural language Q&A over the full memory store
timeline
Reverse-chronological observations with importance badges and flags
stats
Token economics for current session (raw vs. compressed)

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).

Context Mem Configuration
mcpServers (Claude Desktop / Cursor)
{
  "mcpServers": {
    "context-mem": {
      "command": "npx",
      "args": [
        "-y",
        "context-mem"
      ]
    }
  }
}
Agent Recall Configuration
mcpServers (Claude Desktop / Cursor)
{
  "mcpServers": {
    "agent-recall": {
      "command": "npx",
      "args": [
        "-y",
        "agent-recall-mcp"
      ]
    }
  }
}

Frequently Asked Questions

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

More alternatives to Context MemMore alternatives to Agent RecallKnowledge & Memory category hubCanonical compare URL

Related MCP Server Comparisons

Popular comparisons with Context Mem

  • Moxie Docs MCP logoContext Mem vs Moxie Docs MCP
  • Scrivener MCP logoContext Mem vs Scrivener MCP
  • Engram MCP logoContext Mem vs Engram MCP
  • Engram Cc logoContext Mem vs Engram Cc

Popular comparisons with Agent Recall

  • Moxie Docs MCP logo
Quality signal
55/100 (Good)
65/100 (Great)
Transport ProtocolLocal Subprocess (stdio)Local Subprocess (stdio)
Auth RequirementNo auth requiredNo auth required
Pricing ModelFree / Open SourceFree / Open Source
Required Env VarsNone requiredNone required
Compatible Clients
Claude DesktopCursorWindsurfClineVS Code
Claude DesktopCursorWindsurfClineVS Code
Install path signalnpx · highnpx · high
Engagement & Health 1 views 0 copies 0 upvotes 19 stars 2 views 0 copies 0 upvotes 371 stars
Verified / OfficialCommunity ListingCommunity Listing
Open full listingView Context Mem ListingView Agent Recall Listing
save_knowledge
Save a knowledge entry with contradiction detection + temporal validity windows
search_knowledge
Search (superseded entries filtered by default)
promote_knowledge
Promote to global cross-project store
global_search
Search across all projects simultaneously
resolve_contradiction
Resolve knowledge conflicts (supersede / merge / keep / archive)
merge_suggestions
View cross-project duplicate suggestions
+27 more tools listed on main page

Agent Recall Tools (5)

session_start
[ENTRY — call FIRST, before acting] Use when the user asks to start, load, continue, resume, or open memory for a project. Set mode='lite' for a ≤500-token briefing (good for fresh conversations where the agent will pull memory on demand via recall()).
session_end
[ON SAVE/EXIT — YOU must call this; nothing auto-saves] Use when the user asks to save, checkpoint, summarize, end, retain, or persist the current session. Optionally pass close_phase / open_phase to update the project pipeline narrative spine in the same call.
remember
[MID-SESSION WRITE — single fact/decision; saying it is not saving it] Use when the user asks to remember, store, note, or save a specific decision, fact, or insight.
recall
[RETRIEVE — use freely, any time] Use when the user asks to recall, search, find, or look up previous memory, context, or decisions.
check
[MID-SESSION — safe any time; for alignment, before risky decisions] Use when the user asks to validate understanding, verify alignment, or check if their interpretation matches the human's intent. Also call BEFORE a high-risk action — publish, deploy, delete, credential exposure, external send/message, or any other irreversible write — passing `action_description` (one sentence, what you're about to do). Returns matching corrections/rules/insights plus a `verdict`: `blocked` means an authoritative correction OVERRIDES the plan — read it before proceeding. To RECORD a durable human correction, pass `human_correction` as the STRUCTURED object {rule, why, applies_when} — a plain string is only STAGED for later review, never activated.
Agent Recall vs Moxie Docs MCP
  • AgentRecall logoAgent Recall vs AgentRecall
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  • Shodh Memory logoAgent Recall vs Shodh Memory