elephagent 0.3.0

Shared memory layer for all your AI coding agents — elephants never forget

elephagent

One memory layer for all your AI coding agents — elephants never forget.

English | 中文

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The Problem

You use Claude Code, Cursor, and Codex. Each stores project knowledge in a different place. Switch machines, add a teammate, or try a new agent — and you start from scratch.

	Without elephagent	With elephagent
Memory location	Scattered across CLAUDE.md, .cursor/rules/, AGENTS.md	One .agent/ directory, auto-synced to all platforms
Switch tools	Re-teach every agent from scratch	All agents share the same memory instantly
New teammate	Copy-paste tribal knowledge	git clone and everything is there
MCP servers	Configure separately in each tool	Register once, available everywhere

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How It Works

elephagent stores everything in one Git-synced .agent/ directory and renders the config files each tool already knows how to read. Your AI agents can also read and write memory directly via a built-in MCP server.

flowchart LR
    subgraph repo["Your Repository"]
        direction TB
        src[".agent/\n─────────────\nmemory/\n  decisions.md\n  workflows.md\n  pitfalls.md\ntools/\n  registry.json"]
    end

    src -->|"elephagent build"| CLAUDE["CLAUDE.md\n(Claude Code)"]
    src -->|"elephagent build"| AGENTS["AGENTS.md\n(Codex)"]
    src -->|"elephagent build"| CURSOR[".cursor/rules/\n(Cursor)"]
    src -->|"elephagent build"| MCP[".mcp.json\n(all clients)"]

    CLAUDE --> cc["Claude Code"]
    AGENTS --> codex["Codex"]
    CURSOR --> cursor["Cursor"]
    MCP --> cc
    MCP --> codex
    MCP --> cursor

    cc -->|"/el-remember"| src
    cursor -->|"/el-remember"| src
    codex -->|"/el-remember"| src

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Getting Started

1. Install

pip install elephagent

2. Talk to your AI agent (recommended)

Open your project in Claude Code, Cursor, or Codex and use these commands:

Command	What happens
/el-init-memory	Sets up .agent/ and generates all platform files
/el-remember <note>	Saves a note to shared memory
/el-import	Imports existing memories and skills from other platforms
/el-sync-memory	Commits and pushes memory to Git
/el-check-memory	Runs a health check on the setup
/el-handoff	Summarizes current session before switching tools
/el-add-skill	Creates a new shared skill

Cursor note: Open the project folder in Cursor — it auto-detects the agent-memory MCP server. Enable it in Settings → Cursor Settings → MCP if prompted.

3. Or use the CLI

# Initialize in your project (auto-runs `git init` if needed)
elephagent init

# Add a memory note
elephagent remember "This repo uses pnpm. Redis is required for API tests."

# Import existing memories and skills from other platforms
elephagent import

# Verify the setup
elephagent doctor

# Commit and push memory to Git
elephagent sync -m "update memory"

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Built-in Skills

elephagent ships seven skills that work across Claude Code, Cursor, and Codex.

Skill	Trigger phrases	What it does
/el-init-memory	"init memory", "set up agent memory"	Bootstrap .agent/ and generate platform files
/el-remember	/el-remember <note> (slash command)	Save a note from the conversation to shared memory
/el-check-memory	"check memory", "memory status", "doctor"	Health-check the memory setup
/el-sync-memory	"sync memory", "push memory"	Build → commit → push to Git
/el-add-skill	"add skill <name>"	Create a new shared skill
/el-import	"import memories", "import skills", "import from cursor"	Import existing memories and skills from other platforms
/el-handoff	"handoff", "switch to cursor", "save context"	Summarize current session to shared memory before switching tools

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CLI Reference

Command	Description
elephagent init	Bootstrap .agent/ and generate all platform files
elephagent remember "..."	Append a note and rebuild
elephagent build	Regenerate all adapter files from .agent/
elephagent import	Import memories and skills (supports --from, --path, skill names)
elephagent doctor	Check that everything is in sync
elephagent sync -m "msg"	Build → pull → commit → push
elephagent tool list	List registered MCP servers
elephagent tool add <name>	Register a new MCP server

Importing from existing setups

Already have a CLAUDE.md, .cursor/rules/, or custom skills? Import them in one command:

# Auto-detect and import everything (memories + skills from all platforms)
elephagent import

# Import from a specific platform
elephagent import --from claude
elephagent import --from cursor
elephagent import --from codex

# Import specific skills by name (searches ~/.cursor/skills/ and ~/.claude/skills/)
elephagent import my-skill another-skill

# Import skills from a custom directory
elephagent import --path /path/to/skills

In auto mode, elephagent scans:

• Project-local files: CLAUDE.md, .cursor/rules/, AGENTS.md
• Global skill directories: ~/.cursor/skills/, ~/.claude/skills/

Only hand-written content is imported — files generated by elephagent build are automatically skipped. Existing files in .agent/ are never overwritten.

Adding MCP tools

# stdio server
elephagent tool add context7 --command npx --arg -y --arg @upstash/context7-mcp

# HTTP server with token from env
elephagent tool add figma \
  --url https://mcp.figma.com/mcp \
  --bearer-token-env-var FIGMA_OAUTH_TOKEN

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Built-in MCP Server

elephagent ships a small MCP server at .agent/tools/mcp_server.py that lets agents read and write shared memory directly through the MCP protocol.

Tool	Description
agent_memory_read	Read one or all memory files
agent_memory_search	Search across all memory
agent_memory_append	Append a durable note
agent_tool_registry	Read the shared MCP registry

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Why Git?

• Memory travels with the repo, not the machine.
• Works in CI, on new laptops, with new teammates.
• Full history and diffs for every memory change.
• No third-party service required.

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Security

Never commit secrets into .agent/. Use environment variable references instead:

elephagent tool add internal-api \
  --url https://example.com/mcp \
  --bearer-token-env-var INTERNAL_API_TOKEN

.agent/.gitignore excludes local scratch files and secret-looking filenames by default.

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Roadmap

• Git-synced shared memory
• Auto-generated adapters for Claude Code, Cursor, Codex
• Built-in MCP server
• Shared MCP tool registry
• Built-in skills for Claude Code, Cursor, Codex
• Importers for existing Claude / Cursor / Codex memories and skills
• Python SDK (import elephagent)
• Memory compaction for large histories
• pipx / Homebrew packaging
• GitHub Action for CI validation

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Contributing

Issues and PRs are welcome. Before submitting, run:

elephagent build
elephagent doctor
python3 - <<'PY'
from pathlib import Path
for path in ["elephagent.py", ".agent/tools/mcp_server.py"]:
    compile(Path(path).read_text(), path, "exec")
    print(path, "ok")
PY

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License

MIT