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  3. AI Memory
AI Memory logo
Health: ActiveRecent health check succeeded.Last checked 9/23/2026, 2:46:21 AM

AI Memory

User RatingsBe the first to rate and review this MCP server! Enrichment pendingWe haven’t run our AI enrichment pass on this listing yet, so the overview, use cases, and FAQ below may be sparse or missing. We work through the catalog over time β€” check back soon.
View Repository52 GitHub StarsTotal stargazers on GitHub for the source repository (52 stars).Visit Website

Persistent memory for any AI β€” zero token cost until recall

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent β€” or use 1-click editor setup below.

Add to CursorAdd to VS Code
Not yet automatically verified

We haven't yet run this listing's install command through our automated sandbox check. This isn't a red flag β€” we're steadily working through the catalog.

Manual Client & Custom JSON ConfigExpand JSON β–Ύ

Client Config & Setup

Choose your client or environment
Target File:~/Library/Application Support/Claude/claude_desktop_config.json
claude_desktop_config.json
{
  "mcpServers": {
    "ai-memory": {
      "command": "uvx",
      "args": [
        "ai-memory-mcp"
      ]
    }
  }
}

πŸ’‘ Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Install Tool Schemas (21) Directory Badge Claim listing AlternativesπŸ’° More in Finance & Fintech

Capabilities & Tool Schemas (21) ~357 tokensApproximate context cost of this server’s tool schemas (~4 chars/token), before any tool is called. Actual usage depends on your client and model.Self-reported Self-reportedParsed from the repository README, not verified against a live server β€” may be incomplete or out of date.

Inspect callable tools, capabilities, and parameters exposed to AI agents by AI Memory.

memory_store

Store a new memory (deduplicates by title+namespace, reports contradictions)

memory_recall

Recall memories relevant to a context (fuzzy OR search, ranked by 6 factors)

memory_search

Search memories by exact keyword match (AND semantics)

memory_list

List memories with optional filters (namespace, tier, tags, date range)

memory_get

Get a specific memory by ID with its links

memory_update

Update an existing memory by ID (partial update)

Documentation Overview

ai-memory logo

ai-memory

universal AI memory

CI Bench Session-boot lifetime Rust License SQLite Tests Test Hub Discovery Gate v0.6.4 Cert MCP NSA CSI Evidence v0.6.4 Evidence v0.7.0 Crates.io Version npm PyPI

ai-memory is a persistent memory system for AI assistants. It works with any AI that supports MCP -- Claude, ChatGPT, Grok, Llama, and more. It stores what your AI learns in a local SQLite database, ranks memories by relevance when recalling, and auto-promotes important knowledge to permanent storage. Install it once, and every AI assistant you use remembers your architecture, your preferences, your corrections -- forever.


Choose your installation path

You are…Your deployment is…Start here
A single developer trying ai-memoryOne AI client on a laptopdocs/install-quickstart.md β€” 5-min super-simple install + LLM-backend wired in one block
An engineer / architectSingle-node production, or multiple agents on one nodedocs/INSTALL.md β†’ docs/production-deployment.md
An engineer / architectMulti-server / multi-rack / multi-DC / swarm / hive / federationdocs/enterprise-deployment.md β€” 8 topologies, singleton β†’ multi-region
An engineer / architectPostgreSQL + Apache AGE storage (multi-writer, 10M+ memories, KG-heavy)docs/postgres-age-guide.md β€” first-class postgres operator guide
A decision-maker evaluating adoptionβ€”docs/audience/decision-maker.html

Configuring the LLM backend (xAI Grok, OpenAI, Anthropic, Gemini, DeepSeek, Kimi, Qwen, Mistral, Groq, Together, Cerebras, OpenRouter, Fireworks, LMStudio, vLLM, llama.cpp server, or local Ollama)? See docs/integrations/llm-backends.md β€” the MCP env-block recipe is the same regardless of installation path.


v0.9.0 β€” current release. A security-hardening and code-review release: 49 fixes from a 5-lane adversarial review (#1885–#1935) plus a smaller set of additive features. The headline change is a secure-default flip: agent attestation is required by default on HTTP direct-write (#1751, surface-scoped by #1985) β€” an unsigned HTTP POST /api/v1/memories (+/bulk) is rejected (403 ATTESTATION_FAILED) instead of landing attest_level="claimed", unless the operator sets the explicit opt-out AI_MEMORY_REQUIRE_AGENT_ATTESTATION=0. The MCP memory_store and CLI store surfaces are the operator-as-actor path and stay permissive by default (an unsigned write lands claimed); =1 forces strict on every surface. (The v0.9.0 GA shipped this as require-everywhere, which was unsatisfiable on MCP hosts β€” corrected to surface-scoped in the current release.) Alongside it, the mandatory-hook-presence enforcement gate now fires on both the MCP write path (#1885) and the HTTP write path (#1924), closing a silent-bypass gap where a configured mandatory hook could be skipped on one surface but not the other. The hardening pass also closes bulk_create per-row attestation gating (#1919), routes inbound federated PENDING approvals through the registered-approver gate (#1920), tightens team/unit/org visibility scope so it is no longer over-broad across the namespace hierarchy (#1921), and confines skill_register's folder_path import under the configured root with a symlink jail (#1923). A new non-argv credential channel β€” AI_MEMORY_STORE_URL / AI_MEMORY_STORE_URL_FILE (a 0600 file) β€” keeps the postgres/store password off world-readable /proc/<pid>/cmdline and ps (#1927). Additive feature work: agent-authored skill memories with a parameters_schema + invocation_record (B7-SKILL, #1865), the recall_observations shadow-feedback loop (#1706), a memory-derivation lineage DAG (memory_lineage, #1859), and an opt-in vector-search minimal slice (#1005). Surface: schema v78, 101 MCP tools at --profile full (100 callable + the always-on memory_capabilities bootstrap) / 7 at --profile core, 92 HTTP route registrations (78 unique URL paths), 89 CLI subcommands under --features sal/sal-postgres (87 in the default build), 9 typed MemoryLink relations, a 28-field Memory. Runs on two production backends behind one identical API β€” embedded SQLite and PostgreSQL + Apache AGE β€” across desktop, server, and on-device (iOS + Android). Everything is additive over v0.8.1 except the attestation and hook-enforcement flips, which are secure-by-default breaking changes β€” review them before upgrading. Full changelog: CHANGELOG.md Β§"[0.9.0] β€” 2026-07-08".

Read the full README β†’View source on GitHub β†’

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Adoption & maintenance

Factual signals from GitHub, npm, and our automated checks β€” not a rating.

GitHub stars
52
Stargazers on the source repository.
Last commit
2d ago
Most recent push to the default branch.
Tools exposed
21
Callable tools this server registers over MCP.
Directory activity
1 views
Config copies, upvotes, and views on AllMCPs.

Reviews

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Frequently Asked Questions about AI Memory

Add the following block to your claude_desktop_config.json under mcpServers: "mcpServers": { "ai-memory": { "command": "uvx", "args": ["ai-memory-mcp"] } }

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Technical Specs & Signals

CategoryπŸ’°Finance & Fintech
More technical detailsExpand β–Ύ
TransportSTDIO
RuntimePython
Last updatedSep 23, 2026
11/15 checks healthy over the last 45d
Views1
Unique ViewsTotal visits recorded for this listing page on AllMCPs.
Installs0
Installs & Copy ActionsTotal times users copied install commands or configuration snippets for this server.
GitHub stars52
GitHub Star CountTotal stargazers on GitHub representing community popularity (52 stars).
Last commit2d ago
Last Repository CommitThe most recent commit or push recorded for this server's GitHub repository.Last commit on Sep 23, 2026
55Quality signal: Good Β· 55/100How this signal is calculated β–Ύ
Server availabilityNot measured

Not scored for repo-hosted servers β€” we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership10/20
Documentation & tools24/30
Adoption & activity7/15
Community engagement0/10

A guidance signal from public completeness & health data β€” not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

Supply-chain signal

No high-severity advisories surfaced by our automated scan.

Critical 0High 0Medium 0Low 0

Scanned 5d ago via OSV.dev Β· ai-memory-mcp (PyPI)

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