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Hicortex — AI Fleet Memory MCP server

by gamaze-labs·io.github.gamaze-labs/hicortex·v0.22.0

Shared fleet memory for AI agents: nightly self-correction, recall every prompt (supported agents).

C55/100grade C
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C55/100

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2 stars1.3k downloads/wk

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Hicortex — AI Fleet Memory tools (11, 2 write)

write = sends, deletes, buys or posts

Read from the package source without running it. The installed server may list more.

  • hicortex_deletewrite action

    Permanently delete a memory and its links. Use when a memory is incorrect and should be removed entirely.

  • hicortex_get

    Fetch ONE memory's full content by id — use this to lazy-load entries from the '## Memory recall (auto)' index or from search results whose snippet was not enough. Fetching a memory marks it as used (strengthens it), so fetch entries that could change your action — not every shown one. When the memory shapes your answer, cite it to the user (id + date + origin agent) — mark a fetched memory `FETCH

  • hicortex_graph

    Query the memory knowledge graph — find connected memories, hub nodes, or paths between memories. Use it to explore memories connected to one you just fetched, or to find hub memories in a domain.

  • hicortex_identity

    Fetch your standing identity — the hand-edited 'who you are + how you work' layer (personality, rules, preferences). Returns all sections or a specific one. Use this to re-read your identity after context compaction or to look up a specific rule. On multi-agent installs, pass `agent` to fetch a specific agent's scoped identity; omit for the global identity.

  • hicortex_index

    Get the knowledge domain index — shows what topics and projects are stored in memory, grouped by domain. Call before a broad search to see which knowledge domains exist, or when unsure what the memory covers.

  • hicortex_ingest

    Store a new memory in long-term storage. Use for Knowledge, Decisions, or Learnings. Capture is automatic (nightly) — use this ONLY for explicitly requested learnings, never routine content.

  • hicortex_learnings

    Get actionable Learnings — auto-generated insights about mistakes to avoid. CALL THIS before retrying an approach that failed before, or when picking up work where past problems may have been recorded.

  • hicortex_lessons

    Get actionable Learnings from past sessions — call it before retrying an approach that failed before. (Alias for hicortex_learnings.)

  • hicortex_recent

    Get recent memories, optionally filtered by project. CALL THIS AT THE START of substantive work on a project to catch up on its latest state — cheaper than asking the user what happened.

  • hicortex_search

    Search shared long-term memory (all agents, all sessions). CALL THIS BEFORE assuming, guessing, or asking the user about anything that may have come up before: prior decisions, preferences, project facts, people, hardware, past incidents. If you are about to write 'I don't have information about…', search first.

  • hicortex_updatewrite action

    Update an existing memory. Use after searching to fix incorrect information. If content changes, the embedding is re-computed.

Public scan report

scanner v0.1.9 · 2026-09-19 · same rubric, same numbers if you re-run it

1 high1 medium
  • Code scan183 source files scanned8/25
  • Live reliabilityno gateway calls yet and no remote to proben/a
  • Tool poisoningtools not inspected (local package is not executed); not countedn/a
  • Auth qualitystatic API keys via environment variables6/15
  • Maintenancelast push 2 days ago15/15
  • Maintainer identityregistry namespace matches repository owner7/10

Findings (2)

  • mediumeval / new Function usedexec.eval
    dist/eval/importance-eval.js: …; /** * Importance-scorer distribution eval (#425) — the AC4 measurement. * * npm…
  • highShell command built from a string (injection risk)exec.shell-concat
    dist/llm.js: …h try { const raw = execSync(`${claudePath} -p ${JSON.stringify(prompt)} --model ${model} --max-turns 1 --output-format jso…
Overall 55/100. Components that don't apply are left out of the denominator. Any critical finding is an F.RubricAppeal a findingJSON

Grade history

  • 2026-09-19restoreDCscore 55: Shell command built from a string (injection risk); eval / new Function used
  • 2026-09-19restoreFDscore 48: Shell command built from a string (injection risk); eval / new Function used; Network call to a raw IP address

Install directly

Runs npx -y @gamaze/hicortex on your machine. Read the scan report first; the gateway never runs local packages.

claude mcp add hicortex -- npx -y @gamaze/hicortex
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Hicortex — AI Fleet Memory: common questions

Is Hicortex — AI Fleet Memory MCP server safe?
With care: it is graded C, so read the findings first (55/100). Read the Hicortex — AI Fleet Memory safety report
How do I install Hicortex — AI Fleet Memory?
It runs on your machine. Copy the Claude Code, Claude Desktop or Cursor config from the install section.
Does Hicortex — AI Fleet Memory need an API key?
Yes. The registry entry asks for HICORTEX_AUTH_TOKEN.
Is Hicortex — AI Fleet Memory maintained?
The last commit was 2 days ago (2026-09-17). The latest release is v0.22.0.
What can I use instead of Hicortex — AI Fleet Memory?
Servers from other publishers that do the same job: Total Agent Memory MCP server, Fidelis Memory MCP server and Agent Memory Os MCP server. Compare all Hicortex — AI Fleet Memory alternatives.

Alternatives to Hicortex — AI Fleet Memory

Same job from other publishers: the closest match first, then the best rated.

All Hicortex — AI Fleet Memory alternatives →
  • Total Agent Memory
    Persistent local memory for coding agents: temporal knowledge graph, procedural and episodic recall
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  • Fidelis Memory
    Recall locally stored agent memories through an MCP-compatible host.
    B
  • Agent Memory Os
    Local-first memory engine for AI-agent teams: team/project ACL, recall, and federated sync.
    A
  • IWE
    Markdown knowledge base as agent memory. Runs against the notes directory it is started in.
    A
  • Agent-Native Analytics
    Agent-Native Amplitude/Mixpanel - connect data sources, prompt for charts
    A

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