AXME Code

Claude Code forgets your project every session. We fixed it.

AXME Code is a Claude Code plugin that gives your AI coding agent persistent memory across sessions, pre-execution safety hooks, architectural decision enforcement, and structured session handoff — via an MCP server, automatically, across every session.

Stop re-explaining your architecture on session 47. Stop losing memory between session handoffs. Stop hoping the agent won't run git push --force to main. AXME Code remembers what happened, enforces your architectural decisions, continues where the last session stopped, and blocks dangerous commands before they execute — so you can focus on building.

You keep using Claude Code exactly as before. AXME Code works transparently in the background.

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Quick Start · Before & After · How It Works · Architecture · Website

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Before & After

Without AXME Code	With AXME Code
Session 1: "We use FastAPI, not Flask. Deploy only via GitHub Actions. Never push to main directly." Session 2: "Like I said yesterday, we use FastAPI..." Session 7: "For the third time this week, we use FastAPI..." Session 47: gives up, mass-pastes 200 lines into CLAUDE.md	Session 1: Agent learns your stack, saves decisions. Session 2: Agent calls axme_context → already knows FastAPI, deploy rules, what happened yesterday. Session 47: Agent has your full project history: 30 decisions, 15 memories, safety rules, and a handoff from session 46.
Agent runs git push --force to main. Your Friday is ruined.	Hook intercepts the command before execution and blocks it. Not a prompt — hard enforcement at the harness level.
Agent says "Done!" — but tests don't pass, half the code is stubbed, and the deploy is broken.	Decisions enforce verification requirements: agent must run tests and show proof before reporting completion.

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Quick Start

Requires Claude Code (CLI or VS Code extension).

Option 1: Claude Code plugin (recommended)

In Claude Code, run:

/plugin marketplace add anthropics/claude-plugins-community
/plugin install axme-code@claude-community

Or from the terminal:

claude plugin marketplace add anthropics/claude-plugins-community
claude plugin install axme-code@claude-community

The plugin ships with the MCP server, safety hooks, and CLI bundled together; no separate binary to install. On first use in a project, just ask the agent to call axme_context — the plugin auto-initializes the knowledge base on that session.

Option 2: Standalone binary

Install the CLI system-wide (useful if you want to run axme-code outside Claude Code, e.g. for scripting):

curl -fsSL https://raw.githubusercontent.com/AxmeAI/axme-code/main/install.sh | bash

Installs to ~/.local/bin/axme-code. Supports Linux and macOS (x64 and ARM64).

Windows via WSL2 is supported. Install a WSL2 distro (wsl --install -d Ubuntu-22.04), then install both Claude Code and axme-code inside your WSL distro — not on the Windows host. Native Windows is not yet supported.

Then in each project:

cd your-project          # or workspace root for multi-repo
axme-code setup
claude                   # that's it — use Claude Code as usual

axme-code setup does three things:

1. Scans your project and builds the knowledge base — oracle (stack, structure, patterns, glossary), extracts decisions, memories, and safety rules from your code, configs, CLAUDE.md, and session history
2. Installs safety hooks that intercept dangerous commands before execution
3. Configures the MCP server in Claude Code settings (.mcp.json)

After setup, every Claude Code session automatically loads the full knowledge base. No config, no manual steps.

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What You Get

Persistent Knowledge Base

Your agent starts every session with full context: stack, decisions, patterns, glossary, and a handoff from the previous session. No more re-explaining your architecture on session 47.

Category	What it stores	Example
Oracle	Project structure, tech stack, coding patterns, glossary	"TypeScript 5.9, Node 20, ESM, esbuild"
Decisions	Architectural decisions with enforcement levels	"All deploys via CI/CD only" [required]
Memory	Feedback from mistakes, validated patterns	"Never use sync HTTP in async handlers"
Safety	Protected branches, denied commands, filesystem restrictions	git push --force → BLOCKED
Backlog	Persistent cross-session task tracking	"B-003: migrate auth to OAuth2 [in-progress]"
Handoff	Where work stopped, blockers, next steps	"PR #17 open, waiting on review. Next: fix flaky test."
Worklog	Session history and events	Timeline of all sessions and what was done

Safety Guardrails (100% Reliable)

Hooks intercept tool calls before execution — not prompts. Even if the agent hallucinates a reason to run rm -rf /, the hook blocks it. This is hard enforcement at the Claude Code harness level, not a suggestion in a system prompt.

Blocked by default:

• git push --force, git reset --hard, direct push to main/master
• rm -rf /, chmod 777, curl | sh
• npm publish, git tag, gh release create
• Writing to .env, .pem, .key files

You can add your own custom rules via axme_update_safety or by editing .axme-code/safety/rules.yaml directly.

Automatic Knowledge Extraction

The agent saves discoveries during work via MCP tools. At session close, a structured checklist ensures nothing is missed. If you just close the window — a background auditor extracts memories, decisions, and safety rules from the full session transcript.

Multi-Repo Workspaces

Each repo gets its own knowledge base (.axme-code/). Workspace-level rules apply to all repos. Repo-specific rules stay scoped. The agent sees merged context — workspace safety floor + repo-specific decisions.

Supports 14 workspace formats: VS Code multi-root, pnpm/npm/yarn workspaces, Nx, Gradle, Maven, Rush, git submodules, and more.

Why Not Just CLAUDE.md?

CLAUDE.md is great for simple projects with a few rules. But it doesn't scale:

	CLAUDE.md	AXME Code
Memory	Static, manual	Automatic, accumulates across sessions
Decisions	Flat text, no enforcement	Structured, required/advisory levels
Safety	Prompt-based (~80% compliance)	Hook-based (100% enforcement)
Session continuity	None	Handoff + background auditor
Scales to	~50 lines	Hundreds of decisions, memories, rules

AXME Code complements CLAUDE.md — it reads your existing CLAUDE.md during setup and extracts decisions and rules from it.

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Comparison

	AXME Code	MemPalace	Mastra	Zep	Mem0	Supermemory
Capabilities
Structured decisions w/ enforce levels	✅	❌	❌	❌	❌	❌
Pre-execution safety hooks	✅	❌	⚠️	❌	❌	❌
Structured session handoff	✅	❌	❌	❌	⚠️	❌
Automatic knowledge extraction	✅	❌	✅	✅	✅	✅
Project oracle (codebase map)	✅	❌	❌	❌	❌	❌
Multi-repo workspace	✅	❌	❌	❌	❌	❌
Local-only storage	✅	✅	✅	❌	❌	❌
Semantic memory search	✅	✅	✅	✅	✅	✅
Multi-client support	✅	✅	✅	✅	✅	✅
Capabilities total	9/9	3/9	4/9	3/9	3/9	3/9
Benchmarks
ToolEmu safety (accuracy)	100.00%	—	—	—	—	—
ToolEmu safety (FPR)	0.00%	—	—	—	—	—
LongMemEval E2E	89.20%	—	84.23% / 94.87%	71.20%	49.00%	85.40%
LongMemEval R@5	97.80%	96.60%	—	—	—	—
LongMemEval tokens/correct	~10K ✓	—	~105K–119K	~70K	~31K	~29K

Token efficiency

AXME uses ~10× fewer tokens per correct answer than Mastra at competitive accuracy. The memory system runs only 2 LLM calls per question (reader + judge) — competitors run dozens (Observer per turn, Reflector periodically, graph construction, fact extraction).

See benchmarks/README.md for full methodology, per-category breakdowns, footnotes, and reproduction instructions.

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How It Works

Session Flow

1. Session starts → agent calls axme_context, loads full knowledge base
2. During work → agent saves discoveries via axme_save_memory, axme_save_decision. Hooks enforce safety on every tool call.
3. Session close → ask your agent to close the session → agent calls axme_begin_close, gets a checklist. Reviews the session for missed memories, decisions, safety rules. Calls axme_finalize_close — MCP writes handoff, worklog, and extractions atomically.
4. Fallback → if you just close the window, the background auditor extracts everything from the transcript.
5. Next session → axme_context returns everything accumulated. Handoff says exactly where to continue.

Tip: You can save at any time — just tell the agent "remember this" or "save this as a decision". You don't have to wait for session close.

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Storage

All data lives in .axme-code/ in your project root (gitignored automatically):

.axme-code/
  oracle/           # stack.md, structure.md, patterns.md, glossary.md
  decisions/        # D-001-slug.md ... D-NNN-slug.md (with enforce levels)
  memory/
    feedback/       # Learned mistakes and corrections
    patterns/       # Validated successful approaches
  safety/
    rules.yaml      # git + bash + filesystem guardrails
  backlog/          # B-001-slug.md ... persistent cross-session tasks
  sessions/         # Per-session meta.json (tracking, agentClosed flag)
  plans/
    handoff-<id>.md # Per-session handoff (last 5 kept)
  worklog.jsonl     # Structured event log
  worklog.md        # Narrative session summaries
  config.yaml       # Model settings, presets

Human-readable markdown and YAML. No database, no external dependencies.

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AXME Platform

AXME Code is the developer tools layer of the AXME platform — durable execution infrastructure for AI agents.

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Components

AXME Code has three components:

1. MCP Server (persistent, runs while VS Code is open)

Provides tools for the agent to read and write the knowledge base. All writes go through MCP server code (atomicWrite, correct append) — the agent never writes storage files directly.

2. Hooks (fire on every tool call)

pre-tool-use: Checks every Bash command, git operation, and file access against safety rules. Blocks violations before execution. Also creates/recovers session tracking.

post-tool-use: Records which files the agent changed (for audit trail).

3. Background Auditor (runs after session close)

A detached process that reads the session transcript and catches anything the agent forgot to save. Two modes:

• Full extraction — when the agent crashed or user closed without formal close
• Verify-only — when the agent completed the close checklist (lighter, cheaper)

Available MCP Tools (19 tools)

Tool	Description
axme_context	Load full knowledge base (oracle + decisions + safety + memory + handoff)
axme_oracle	Show oracle data (stack, structure, patterns, glossary)
axme_decisions	List active decisions with enforce levels
axme_memories	Show all memories (feedback + patterns)
axme_save_decision	Save a new architectural decision
axme_save_memory	Save feedback or pattern memory
axme_safety	Show current safety rules
axme_update_safety	Add a new safety rule
axme_backlog	List or read backlog items
axme_backlog_add	Add a new backlog item
axme_backlog_update	Update backlog item status, priority, or notes
axme_status	Project status (sessions, decisions count, last activity)
axme_worklog	Recent worklog events
axme_workspace	List all repos in workspace
axme_begin_close	Start session close — returns extraction checklist
axme_finalize_close	Finalize close — writes handoff, worklog, extractions atomically
axme_ask_question	Record a question for the user
axme_list_open_questions	List open questions from previous sessions
axme_answer_question	Record the user's answer

CLI Commands

axme-code setup [path]       # Initialize project/workspace with LLM scan
axme-code serve              # Start MCP server (called by Claude Code automatically)
axme-code status [path]      # Show project status
axme-code stats [path]       # Worklog statistics (sessions, costs, safety blocks)
axme-code audit-kb [path]    # KB audit: dedup, conflicts, compaction
axme-code hook pre-tool-use  # PreToolUse hook handler (called by Claude Code)
axme-code hook post-tool-use # PostToolUse hook handler
axme-code hook session-end   # SessionEnd hook handler
axme-code audit-session      # Run LLM audit on a session transcript

Preset Bundles

During axme-code setup, preset bundles provide curated best-practice rules:

Preset	What it adds
essential-safety	Protected branches, no secrets in git, no force push, fail loudly
ai-agent-guardrails	Verification requirements, no autonomous deploys, proof before done

Additional presets available: production-ready, team-collaboration.

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Telemetry

axme-code sends anonymous usage telemetry to help us improve the product. We collect:

• Lifecycle events: install, startup, version update
• Product health events: setup completion, audit completion (counts of memories/decisions/safety extracted, duration, cost, error class)
• Errors: category and bounded error class for failures in audit, setup, hooks, and auto-update

What we never send:

• Hostnames, usernames, file paths, working directories
• Source code, transcripts, decisions, memories, or any project content
• IP addresses (stripped at the server)
• Raw exception messages (we map to a small set of error classes)

Each install gets a random 64-character machine ID stored in ~/.local/share/axme-code/machine-id. The ID is not derived from hardware and cannot be linked back to you.

To disable telemetry, set either of these environment variables:

export AXME_TELEMETRY_DISABLED=1
# or the industry-standard:
export DO_NOT_TRACK=1

When disabled, no network requests are made and no machine ID is generated.

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Contributing

See CONTRIBUTING.md for guidelines.

License

MIT

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Website · Issues · Architecture · contact@axme.ai