chat-recall

chatrecall.dev · How it works · MCP tools · Pricing · Self-host · Security

One memory across every AI coding tool you use. Claude Code, Gemini CLI, Codex, OpenCode, Antigravity and Cursor share a single searchable history — and the agent can search it itself.

Your coding agents each keep their own transcripts, in their own format, in their own directory, and none of them can read another's. chat-recall indexes all of them into one place, redacts secrets on the way, and exposes the result to your agent through 61 MCP tools so it can recall its own past work instead of you re-explaining it.

That cross-tool part is the point. A single tool's built-in history stops at its own boundary; this does not.

See it work

Every screen below is a real MCP call against a real server — the exact tool and arguments are shown above each response. Nothing is mocked, replayed or re-timed.

One memory, every tool. Here OpenCode is asked about a Claude Code session: a different tool, a different transcript format, one index.

Or just ask in plain English — no tool names, no session ids. The agent picks the call itself:

It also finds the credentials you pasted, and checks which ones still work. A dead key is hygiene. A live one is an incident, and only live ones raise an alert.

Install

npx chat-recall init

That indexes the transcripts already on your disk, detects which AI tools you have, and registers the MCP server in each of their configs:

Tool	File it writes
Claude Code	~/.mcp.json
Codex	~/.codex/config.toml
Gemini CLI	~/.gemini/settings.json
OpenCode	~/.config/opencode/opencode.json
Cursor	~/.cursor/mcp.json

It only touches a config whose tool is on this machine, it never overwrites an entry you curated by hand, and chat-recall doctor prints one line per tool so a missing registration is visible. Inside Claude Code you can install the skills and the MCP server together instead:

/plugin marketplace add munhq/chat-recall
/plugin install chat-recall@chat-recall

Then:

chat-recall search "that auth bug"      # search everything you have ever done
chat-recall recent                      # what was I working on

By default this syncs to the hosted server at chatrecall.dev, which starts with a 7-day trial that needs no card and is a paid subscription after that — see pricing. To keep everything on your own machine instead, run the server yourself: that is free for one person, forever, with every feature and no licence key — the task board and Toolkit included — and a licence only buys collaboration: a second member, shared history, assigning work. See Self-host below. Either way the CLI is the same binary and the same commands; only the server URL differs.

No API keys are required. Search is Postgres full-text search. AI summaries are an optional upgrade, not a prerequisite.

What never leaves your machine

It indexes every AI session on this disk, so init shows you what would upload — count, tools, and the projects by name — and waits for a yes before the first sync. (--yes, or no TTY, prints the same summary and proceeds; --skip-sync holds the upload back entirely.) Secrets are masked client-side and project paths are sent as hashes; on top of that you choose what is in scope at all:

chat-recall exclude project ~/work/client   # a path, and everything under it, never syncs
chat-recall exclude tool cursor             # one AI tool never syncs
chat-recall sync-only add git:github.com/me/app   # invert it: ship ONLY what you list
chat-recall sources decline ~/.claude-work  # a whole transcript profile stays out
                                            #   (--delete-remote purges what it already sent)
chat-recall exclude list                    # every rule in force
chat-recall delete <session-id>             # purge one session on every server, tombstoned
chat-recall retention                       # how long the server keeps what you sent
chat-recall retention set 90                # delete anything older, on a timer (0 = keep everything)

Some tools file transcripts under a hash rather than a project folder, so those sessions have no path for a path rule to match; exclude tool is the control that covers them, and init prints that count. A retention window deletes from the server on a timer. retention set prints how many sessions it would remove and makes you confirm the number. It is undoable only where the original transcript is still on a machine you have — widen the window and chat-recall sync --full re-ships what it admits. For a laptop you no longer own, history your AI tool rotated, or files you deleted, our copy is the only copy. Export first if you want one.

Exclusions live on the machine that holds the data, so the CLI owns them; they apply from the next sync, and rows already synced stay until deleted. The dashboard's Sync rules panel adds rules across every device — unioned with the local ones, so it can only ever add protection. Full model, limits included: Security.

Four things it actually does

1. Cross-tool unified memory. One index, one search, one UI over Claude Code (~/.claude/projects/), Gemini CLI (~/.gemini/tmp/), Codex (~/.codex/), OpenCode (~/.local/share/opencode/), Antigravity and Cursor (~/.cursor/ for the CLI, ~/.config/Cursor/ for the IDE). Sessions, plans, tasks, CLAUDE.md files, paste cache, shell history and agent diaries all share one pluggable MemorySource interface.
2. The agent recalls itself. 61 MCP tools, so Claude Code can recall_smart_resume, recall_search (with like_session to find similar work), recall_edits_timeline, recall_subagent_search and recall_redundant_files rather than asking you what happened last time. It writes back too, via recall_decision_record, recall_kg_add and recall_set.
3. Warns before you redo work. A UserPromptSubmit hook searches for similar past sessions on every prompt and injects a short "you have done this before, in session X" note into the agent's context.
4. Temporal knowledge graph. Decisions and tool mentions become entity-relationship triples with valid_from/valid_to windows, so you can ask what was decided in March and whether it still holds.

Add your own AI tool

A new backend is one file and one line — no changes to the engine. If a tool you use writes transcripts to disk, it can be indexed here, and a pull request is the fastest way to make that happen.

Optional: web dashboard

The React dashboard is part of the server (SaaS or self-host docker compose) — the CLI itself has no UI. For dashboard development:

npm run web:install                 # install web deps
npm run web:dev                     # API on :5000, UI on :5174

Self-host the server (docker compose)

Everything on your own machine, no account, nothing sent anywhere:

git clone https://github.com/munhq/chat-recall && cd chat-recall
echo "ADMIN_KEY=$(openssl rand -hex 24)"         >> .env
echo "POSTGRES_PASSWORD=$(openssl rand -hex 24)" >> .env
docker compose up -d --build          # FIRST RUN BUILDS FROM SOURCE (minutes)

Then mint a device token and connect a machine — the full sequence, with troubleshooting, is in docs/SELF_HOSTING.md.

Two containers: the server plus a bundled pgvector/pgvector Postgres, so a plain docker compose up is self-contained. Bring-your-own-Postgres is supported too (it is how the hosted service runs): set DATABASE_URL to an external Postgres 16+.

Keep the index live (+ optional server sync)

You do not need a daemon. Claude Code spawns the MCP server, and that process syncs every 3 minutes on its own — the binary is the daemon. For a headless box with no assistant running, opt in to a background service:

chat-recall watch                    # foreground daemon: watches every tool, summaries, precompute
chat-recall watch --install-service  # systemd user unit (Linux) · launchd (macOS) · Scheduled Task (Windows)

init does not install it, on purpose. Both paths push through the same syncIncremental() under the same cross-platform index lock, so one writer touches the ledger at a time — see docs/SYNC.md before changing any of it. Secrets are masked client-side before anything leaves the machine. chat-recall sync does the same push once, on demand.

Hook it up to Claude Code

chat-recall init does this for you. Manual equivalent in ~/.mcp.json:

{
  "mcpServers": {
    "chat-recall": {
      "command": "chat-recall-mcp"
    }
  }
}

Then install the hooks (one command sets up auto-save, pre-compact backup, and the resume-hint that warns when you're about to redo work):

chat-recall install-hooks                 # registers all five events, in every Claude profile
chat-recall install-hooks --no-resume-hint  # skip the resume warning
chat-recall install-hooks --no-wakeup       # skip the session-start wake-up bundle
chat-recall install-hooks --no-escalate     # skip the session-end escalation
chat-recall install-hooks --uninstall     # remove all of ours, leave third-party hooks alone

Hook	When it fires	What it does
SessionStart	New session (startup / clear)	Injects the project-scoped wake-up bundle
UserPromptSubmit	When you type a prompt	Searches past sessions; if a similar one exists, injects "you've worked on this before" into the agent's context
Stop	After every assistant turn	Auto-saves topics, decisions, and tools to ~/.chat-recall/memory/
PreCompact	Before Claude Code compacts context	Emergency save so nothing is lost to compaction
SessionEnd	When the session closes	Escalates the session's learnings in the background, so nothing is delayed

Companion: codeindex (auto-detected)

There's a separate MCP server called codeindex (Zig binary, ~56 MB) by munhq that gives the agent code-level lookup. The two compose:

• chat-recall = session memory. What have I worked on? What did we decide?
• codeindex = code memory. Where is this symbol? Who calls it? What breaks if I change it?

Together the agent can answer "have I built this before?" and "does it already exist in this codebase?" before redoing work.

How chat-recall handles it: chat-recall init detects whether codeindex is on your PATH (or at ~/.local/bin/codeindex). If yes, it registers it as an MCP server in ~/.mcp.json automatically — no download, no surprise. If no, it prints a one-line hint about how to get it.

chat-recall init                       # default — detect and register if installed
chat-recall init --with-codeindex      # additionally force-download the binary
chat-recall init --skip-codeindex      # don't even check
chat-recall companions install         # download manually (after init)
chat-recall companions status          # show what was detected
chat-recall companions uninstall       # remove the binary + MCP registration

codeindex is open source (MIT) at github.com/munhq/codeindex. The install is optional — chat-recall works entirely without it; you just don't get the code-level tools.

What gets indexed

Source	Origin	Notes
Sessions (Claude)	~/.claude/projects/<hash>/<uuid>.jsonl	Full transcripts, tokens, cost, files touched, models used
Sessions (Gemini CLI)	~/.gemini/tmp/*/chats/*.json	Tokens and tool usage extracted where present
Sessions (OpenCode)	~/.local/share/opencode/opencode.db (SQLite)	Cost, tokens, todos
Subagent transcripts	<session-dir>/<id>/subagents/*.jsonl	Explore, aside, and acompact-* (orphaned compacted history)
Plans	~/.claude/plans/*.md	Agent planning docs, split by ##
Tasks	~/.claude/tasks/<session>/*.json	Linked to parent session
CLAUDE.md	Auto-discovered from project hashes	Linked to sessions in same project
History	~/.claude/history.jsonl	Shell history, optionally tied to a session
Paste	~/.claude/paste-cache/*.txt	Large pasted blobs
Diary	~/.chat-recall/index/diary/<agent>/*.json	What the agent told its future self via recall_diary_write

MCP tools (61, including 4 code-intelligence tools that register when the companion binary is installed)

Search & retrieve — recall_search, recall_memory_search, recall_recent, recall_show, recall_context, recall_summary, recall_smart_resume, recall_project_context, recall_weekly_digest, recall_analytics_summary, recall_wake_up.

Pattern detection — recall_search with like_session: <id> (find work similar to a given session), recall_redundant_files (warn when a new filename overlaps prior work), recall_diff with files_only: true (what files session X actually touched), recall_edits_timeline with group_by: "session" (which sessions edited auth.rs).

Subagents & filters — recall_subagent_search (search inside hidden Explore/aside/compact transcripts), recall_user_prompts (only what the human typed, banner-stripped).

Findings, ranked — recall_claude_suggestions (every finding that becomes an agent-instruction change: the CLAUDE.md rules and skill installs, merged across account scope and every indexed project) and recall_improvements (everything else, ranked most urgent first, with create_tasks: true to open one team task per item). They partition the same recommendation engines, so an item never appears in both.

Knowledge graph — recall_kg_query, recall_kg_add, recall_kg_invalidate, recall_kg_timeline, recall_kg_stats. Plus recall_decision_record to write a decision as both a triple and a diary entry in one call.

KV state — recall_set, recall_get (no key = list the scope). Small persistent values keyed by namespaced strings: "current PR url", "branch I'm working on", user prefs.

Diary & status — recall_diary_write, recall_diary_read, recall_status (includes memory breakdown), recall_index. Plans/tasks: search via recall_memory_search(source_types:['plan','task']), read via recall_show.

Removing things — recall_forget deletes one conversation from the server permanently, tombstoned so no later sync restores it (your own transcript file is untouched); recall_exclude_path stops a path syncing, on this machine and on your account. They exist as tools because "forget that conversation" and "stop syncing this repo" are things people say mid-conversation, not things they open a dashboard for. Both require confirm: true, both are annotated destructive, and neither is auto-approved — your client asks every time. The boundary is one-way on purpose: an agent can narrow what is stored and there is no tool that widens it again (no un-exclude, no allowlist, no retention). Widening is yours: chat-recall exclude remove, or the dashboard.

When the codeindex companion is installed, the agent also gets 16 code-level tools (find_symbol, find_callers, get_imports, plan_change, get_change_impact, analyze, etc.) from a separate MCP server. They compose: chat-recall finds what you've done; codeindex tells you what currently exists.

Search architecture

Search runs on the server, and it is Postgres full-text search: keyword matching with ranking, plus pg_trgm typo tolerance. It needs no embedder, no API key and no extra service.

The CLI ships redacted chunks to the server, which indexes them.

Cost tracking

Cost in USD is computed from token usage when at least one model in the session has a rate the server knows. For every other model — anything local, anything self-hosted, anything newer than the rate table — the dashboard shows — instead of fabricating a number. The summary surfaces a sessionsWithoutPricing counter, so you can see how much of the total the figure actually covers.

Wake-up context

chat-recall memory wake-up

Builds a small bundle for an AI session: optional identity blurb, the top 10 chunks the classifier flagged as decisions/preferences/milestones at importance ≥ 4, and a snapshot of currently-valid knowledge-graph facts. No magic compression — just the highest-signal items the indexer already tags.

Data locations

The CLI keeps almost nothing locally — just what it needs to reach the server:

Path	What
~/.chat-recall/credentials.json	Server target(s) + device token (mode 0600)
~/.chat-recall/sync-ledger.json	Per-server sync watermark (what's already shipped)
~/.chat-recall/hooks/	Installed hooks (after install-hooks)
~/.chat-recall/index/diary/	Agent diaries written by recall_diary_write
~/.chat-recall/shadow/	Gzipped copy of the fullest-seen transcript per session, so an upstream --resume truncation cannot destroy history
~/.chat-recall/cache.db	Local outcome/metadata cache for the local dashboard. Not an index, and not used in server mode

All indexed content — chunks, FTS, vectors, knowledge graph, secret findings, diary — lives on the server (Postgres for self-host and SaaS). Reset it by wiping the server's Postgres data, not anything under ~/.chat-recall.

Privacy

Your sessions sync to a chat-recall server — either one you self-host (your own box, your own Postgres) or the SaaS. Before anything leaves the CLI it is redacted: secrets are masked client-side, so the server never receives raw credentials. Self-hosting keeps all data on infrastructure you control; the SaaS is the hosted alternative.

No telemetry. Your data lives in your server's Postgres — back that up however you like. On the SaaS it lives in the hosted Postgres; self-host if you'd rather keep it entirely on your own infrastructure.

Architecture

packages/
├── engine/src/
│   ├── core/
│   │   ├── backends/        ToolBackend per AI tool (claude, gemini, opencode, codex, agy)
│   │   ├── tool-backend.ts  Registry interface — single source of truth for tool identity
│   │   ├── tool-paths.ts    Env-overridable default paths for each tool
│   │   ├── generic-engine.ts  Shared turn extraction / edit scan / replay (canonical events)
│   │   └── …                Indexing, storage, embeddings, summaries, KG, classifier
│   └── parsers/             *-source.ts plugins per content type (sessions, plans, tasks, …)
├── cli/
│   ├── src/cli.ts           CLI
│   ├── src/mcp.ts           MCP server
│   ├── auto-indexer/        chokidar-based watcher daemon (systemd-friendly)
│   └── hooks/               Claude Code hooks (install via `chat-recall install-hooks`)
└── server/
    ├── src/                 Express API
    ├── client/              React + Vite UI — the dashboard
    └── cloud/migrations/    Empty by design — pg-schema.ts owns the schema

docker/                  Dockerfile + entrypoint for the server image
e2e/                     Playwright tests for the dashboard

Two extension points, both registry-driven:

• Adding a new content type (e.g. another file format to index) — implement MemorySource (discover → parse → extractLinks) and register it in the SourceRegistry.
• Adding a new AI tool (a seventh backend alongside Claude/Gemini/OpenCode/Codex/Antigravity/Cursor) — implement ToolBackend (paths, ID handling, readEvents, fileToolMap, extractEditDelta) and register it in packages/engine/src/core/backends/index.ts. All paths are env-overridable via CHAT_RECALL_{CLAUDE,GEMINI,CODEX,AGY,CURSOR,CURSOR_IDE}_HOME / CHAT_RECALL_OPENCODE_DB.

Requirements

• Node.js 22 or later. The Docker image and CI run 24.
• Sessions written by a supported tool, in its standard location: ~/.claude/, ~/.codex/, ~/.local/share/opencode/, ~/.gemini/.

That is the whole list. No API key is needed to install, index or search.

One feature is opt-in, and it needs a back end that you choose:

Feature	Back ends you can point it at
AI summaries	Ollama, a CLI you are already logged in to (SUMMARY_CLI_CMD), an OpenAI-compatible endpoint, or ANTHROPIC_API_KEY

Without it, sessions carry no generated summary. Everything else works the same.

License

Elastic License 2.0 for the whole repository.

In plain terms: use it, modify it, run it for yourself or inside your company, free and without asking. The one thing you may not do is offer it to third parties as a hosted or managed service — that is the product. You also may not strip the licence-key checks or the copyright notices.

It is source-available, not OSI open source, and this README will not pretend otherwise. It replaced a split where the CLI and engine were MIT and the server was BSL 1.1, which answered "may I use this?" three different ways inside one repository.