Nahuali MCP server
io.github.Arakiss/nahuali·v0.8.0-beta.14·3 starsTrust-aware agent memory with evidence-backed recall, self-inspection, and audit history.
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If you have run it, two minutes of your experience saves the next person an afternoon.
Nahuali tools
No tool declarations could be read from the package source. They show once the server is installed.
How Nahuali compares
Against every graded AI and agents MCP server, from our own scans and uptime checks. Updated after each scan run.
- Safety score
- 80/100
- higher than 60% of 4,460 AI and agents servers
- GitHub stars
- 3
- more than 75% of 2,711 AI and agents servers
Release history: 3 versions in the registry since 2026-07-30, latest 2026-10-17, typically one every 73 days.
Install Nahuali in Claude Code, Cursor or VS Code
claude mcp add nahuali -- docker run -i --rm ghcr.io/arakiss/nahuali-mcp:0.8.0-beta.14
What the publisher says
From the Nahuali repository's README, as published. We do not edit it. Read it on GitHub
Nahuali
Memory an agent can inspect before it trusts.
From an empty memory to evidence-backed recall: Nahuali shows what is ready to use and pauses what still needs review.
Memory retrieval usually begins with what context looks relevant? Nahuali also exposes four separate questions:
- What observation supports this memory?
- What conflicts with it or makes it stale?
- Do the current recorded-history checks pass?
- Do the available evidence and health checks support using this result?
The result is a local-first memory engine with deterministic trust verdicts, tamper-evident recorded history, and portable evidence. Its core does not need a model, account, API key, hosted service, or Docker.
A 60-second tour
Install the macOS or Linux binary. The installer requires the matching SHA-256 asset; the pinned path below can additionally require its Sigstore bundle.
curl -fsSLo /tmp/nahuali-install.sh \
https://raw.githubusercontent.com/Arakiss/nahuali/main/scripts/install.sh
sh /tmp/nahuali-install.sh
export PATH="$HOME/.nahuali/bin:$PATH"Run nahuali --version in a terminal to see the real axolotl spritesheet come alive beside the build identity. When the command is captured or redirected, it emits the stable nahuali line expected by agents, install checks, and benchmark tooling.
Record an observation, derive a claim from it, and require evidence at recall:
nahuali remember "Lena owns the release notes" --mention Lena --tag product
nahuali claim Lena owns "release notes" --source-last --confidence 0.92
nahuali recall "Who owns the release notes?" --authority --require-evidence
nahuali explorenahuali explore is not just a record browser. It keeps three independent questions visible:
Press / to search every displayed memory-item field, Tab to filter by memory kind, and j/k to inspect the evidence behind a result. The axolotl watches over the memory and changes with its status. Rebuild the GIF above from real Ghostty windows on macOS with scripts/render-readme-tui-gif.sh; the canonical README asset is never replaced by the lower-fidelity text fallback.
Run nahuali demo for a narrated, non-mutating explanation of how Nahuali detects a specific in-place record change and keeps unsupported memory from driving action. The demo states which changes require an externally retained reference rather than relying on the live store alone.
Where Nahuali fits
Choose Nahuali when an agent needs local or operator-controlled memory and the decision to use a result must carry evidence, health signals, and explicit integrity limits. It is especially useful as a reliability layer around consequential memory rather than as a replacement for every retrieval system.
Shortened. The full README is on GitHub.
Nothing above is checked by us. What we check is on the safety report.
Nahuali: common questions
- Is Nahuali MCP server safe?
- Mostly: it is graded B (80/100). Read the Nahuali safety report
- How do I install Nahuali?
- It runs on your machine. Copy the Claude Code, Cursor, VS Code or Claude Desktop config from the install section.
- Does Nahuali need an API key?
- Not as far as the registry entry and our scan can tell: no credentials are declared or required.
- Is Nahuali maintained?
- The last commit was 97 days ago (2026-07-30). The latest release is v0.8.0-beta.14.
- What can I use instead of Nahuali?
- Servers from other publishers that do the same job: Agent Recall MCP server, Total Agent Memory MCP server and Basic Memory MCP server.
- How does Nahuali compare with other AI and agents MCP servers?
- safety score 80/100 (higher than 60% of 4,460 AI and agents servers); github stars 3 (more than 75% of 2,711 AI and agents servers). Full comparison.
Alternatives to Nahuali
Same job from other publishers: the closest match first, then the best rated.
- Agent RecallCorrection-first agent memory. Precision KPI tracks if agents heed warnings. 5 layers, local-only.not reviewedEstablishedA
- Total Agent MemoryPersistent local memory for coding agents: temporal knowledge graph, procedural and episodic recallnot reviewedEstablishedA
- Basic MemoryLocal-first knowledge management with bi-directional LLM sync via Markdown files.not reviewedWidely usedB
- HOL GuardLocal-first AI agent security evidence and approval workflows through HOL Guard's stdio MCP server.not reviewedEstablishedA
- IWE (iwe.md)Markdown knowledge base as agent memory. Runs against the notes directory it is started in.not reviewedEstablishedA