Persistent memory system for AI coding agents. Agent-agnostic Go binary with SQLite + FTS5, MCP server, HTTP API, CLI, and TUI.
> /plugin marketplace add Gentleman-Programming/engram> /plugin install engram@engram
Repo: Gentleman-Programming/engram
What's inside
engram
/ˈen.ɡræm/— neuroscience: the physical trace of a memory in the brain.
Your AI coding agent forgets everything when the session ends. Engram gives it a brain.
A Go binary with SQLite + FTS5 full-text search, exposed through CLI, HTTP API, MCP, and an interactive TUI. It works with any MCP-compatible agent, including Claude Code, OpenCode, Gemini CLI, Codex, VS Code (Copilot), Antigravity, Cursor, and Windsurf.
No Node.js, Python, or Docker is required: one binary, one SQLite file.
Agent (Claude Code / OpenCode / Gemini CLI / Codex / VS Code / Antigravity / ...)
↓ MCP stdio
Engram (single Go binary)
↓
SQLite + FTS5 (~/.engram/engram.db)
Treat Engram as a curated project memory, not a transcript sink. Use this operating contract throughout the session.
mem_current_project to confirm the resolved project and its source. At the start of related work, use mem_context and mem_search to recover the relevant history.mem_search for candidates, mem_timeline when surrounding session context matters, and mem_get_observation before relying on a full observation.mem_save. Do not capture raw tool output or every conversational turn.topic_key such as architecture/auth-model; reuse it to update that topic rather than creating competing memories. Use mem_suggest_topic_key when the key is unclear.mem_session_summary with the goal, instructions, discoveries, accomplished work, next steps, and relevant files.mem_session_summary first. Then call mem_context to recover recent session history before continuing.**What**: Added retry-safe upload handling.
**Why**: Retries could create duplicate records.
**Where**: internal/upload/handler.go
**Learned**: Reuse the request id as the idempotency key.
Use a short, searchable title and a fitting type with that content. The full Memory Protocol defines the durable-save rules and session-summary shape.
Tool availability can vary by MCP profile. Start with the intent, then use your client's tool discovery mechanism (such as ToolSearch) only when a deferred tool is needed.
| Intent | Start with |
|---|---|
| Confirm the project and recover recent work | mem_current_project, mem_context |
| Find prior knowledge without repeating work | mem_search |
| Inspect a result in enough detail | mem_timeline, mem_get_observation |
| Save or refine durable knowledge | mem_save, mem_update, mem_suggest_topic_key |
| Preserve the user's request | mem_save_prompt |
| Hand off or close a session | mem_session_summary, mem_session_start, mem_session_end |
| Review stale knowledge or memory relationships | mem_review, mem_judge, mem_compare |
| Diagnose project or store state | mem_doctor |
For parameters and the complete, current tool reference, see the full documentation.
For production use and security support, install the latest stable release from GitHub Releases. Release candidates are prerelease validation and feedback builds; choose one only when you accept prerelease risk. See the Release Policy before upgrading.
Homebrew remains on the stable v1.20.0 line:
brew install gentleman-programming/tap/engram
For Windows, Linux, source builds, and all installation methods, see Installation.
Run the setup command for the agent you use, then restart that agent. engram setup writes the applicable MCP and integration configuration; it does not require you to start a server for the usual stdio-only setup.
| Agent | Setup |
|---|---|
| Claude Code | claude plugin marketplace add Gentleman-Programming/engram && claude plugin install engram |
| Pi | engram setup pi |
| OpenCode | engram setup opencode |
| Gemini CLI | engram setup gemini-cli |
| Codex | engram setup codex |
| Antigravity CLI | engram setup antigravity-cli |
| Windsurf | engram setup windsurf |
| Qwen Code | engram setup qwen |
| Kiro | engram setup kiro |
| Cursor | engram setup cursor |
| VS Code (Copilot) | engram setup vscode-copilot |
| Kilo Code | engram setup kilocode |
| Another MCP-compatible agent | Manual MCP setup |
See Agent Setup for per-agent configuration, plugin behavior, manual MCP setup, compaction resilience, and troubleshooting. Pi users can also find the package at gentle-engram.
Engram keeps memory local by default. The local SQLite database is authoritative; Git Sync exports portable compressed chunks for sharing across machines, and Engram Cloud is optional, project-scoped replication/shared access with browser visibility.
| Need | Start here |
|---|---|
| Local memory and the runtime model | Architecture |
| Share memory with Git | Git Sync reference |
| Use optional Cloud replication | Engram Cloud |
| Diagnose or recover Cloud operations | Cloud troubleshooting |
For an existing local database, use the guided upgrade sequence. If the dry run reports changes, apply them before bootstrap; otherwise continue directly to bootstrap.
engram cloud upgrade doctor --project <project>
engram cloud upgrade repair --project <project> --dry-run
engram cloud upgrade repair --project <project> --apply # only when the dry run reports changes
engram cloud upgrade bootstrap --project <project>
engram cloud upgrade status --project <project>
See the Cloud upgrade reference for apply, rollback, and recovery details.
Project-aware reads use the canonical current project when no selector is supplied: an explicit project, then ENGRAM_PROJECT, then cwd detection. Use --all in the CLI or all_projects=true in HTTP for an intentional global read; do not combine either with an explicit project. engram context retains its positional project as an alias for --project. GET /sync/status supports one resolved project and rejects all_projects=true because its provider cannot aggregate status.
engram tui
Navigate with j/k, use Enter to drill in, c to copy content to the clipboard, / to search, and Esc to go back. The TUI uses the Catppuccin Mocha theme.
| Doc | Description |
|---|---|
| Installation | Platform support and all installation methods |
| Release Policy | Stable, RC, security-support, upgrade, and rollback guidance |
| Agent Setup | Per-agent configuration and compaction resilience |
| Intended Usage | The human mental model for using Engram |
| Architecture | Memory model, tool behavior, and project structure |
| Codebase Guide | Repository structure, flows, and implementation landmarks |
| Plugins | OpenCode and Claude Code plugin details |
| Team Usage | Shared-memory conventions |
| Engram Cloud | Cloud quickstart, deployment, and technical links |
| Doctor | Operational diagnosis and repair workflows |
| Binary self-testing | Isolated reliability and performance checks for released binaries |
| Beta Testing | Isolated beta testing flows and cleanup guidance |
| Comparison | Engram compared with claude-mem |
| Obsidian Brain | Export memories as an Obsidian knowledge graph (beta) |
| Full Docs | Complete CLI, environment, API, and operational reference |
FAQ
gentleman-programming-engram is a Claude Code plugin with 20 hand-picked skills for development work, indexed on Flowy. Install it with the command on its page. It includes memory, architecture-guardrails, backlog-triage. Its skills do not fire on their own yet. Request auto-invocation to have Flowy route them as you prompt. Free and open source.
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