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engrim vs opencode-mem

Local SQLite episodic memory shared across Antigravity, Claude Code, Cursor, Windsurf and Codex: hooks/MCP capture decisions, FTS5+model2vec hybrid recall reloads ~1k tokens per session. — versus — OpenCode plugin giving coding agents persistent cross-session memory — local SQLite + vector search, automatic memory capture, user-profile learning, and a web UI. Nothing leaves your machine.

The curated verdict

Same local SQLite + vector recall for coding agents; opencode-mem is an OpenCode plugin, engrim targets Antigravity/Claude Code/Cursor/Codex via hooks and MCP.

engrimopencode-mem
Stars2221.6k
Forks12154
LanguagePythonTypeScript
LicenseMITMIT
Last activityyesterday4 days ago
Topicsmemory, codingmemory, coding
Curated connections57

engrim — the curator's take

Use it when you actually switch harnesses mid-project — Gemini in Antigravity in the morning, Claude Code in the afternoon — and want one memory both write to and read from, with `origin_agent` provenance on every entry. `engrim setup` auto-wires hooks, MCP and status lines for whatever it finds under ~/. The retrieval is cheap and offline (FTS5 + static model2vec embeddings, no API), and the deliberate 4k-char 'memory pack' cap keeps it from becoming a second context window. Don't pick it for cross-project or team memory (it is per-project, per-machine), or if you want raw transcript capture rather than curated decisions/facts/feedback. Small project (~200 stars, one maintainer) — expect rough edges.

opencode-mem — the curator's take

For OpenCode users tired of re-explaining their architecture every session: auto-capture summarizes each prompt's work via a background structured-output call that reuses your existing opencode provider auth, memories inject into the first chat message, and the `.opencode-mem-project` marker file solves multi-repo workspaces properly (directory-driven identity, not env vars). A real web UI at :4747 for browsing what it learned. NOT for Claude Code — this is OpenCode-specific; pro-workflow and claude-reflect are the equivalents on that side. Auto-capture needs a provider that speaks structured output, and the default local embedding model downloads on first use. Inspired by opencode-supermemory, but local-first.