Darc: grep-like memory search tool for coding agents

A CLI search tool over past agent work + Git-backed sharing

Darc does NOT summarize prior work, decide what matters, or choose which memories to inject.

It indexes prior agent sessions so your agents can do iterative search and recover past decisions on demand, backed by exact evidence.

Demo 1: Let your agent recover past bug fixes with Darc

https://github.com/user-attachments/assets/9dc89da1-45d5-4d9c-9169-5887f62976eb

Demo 2: Share agent session indexes with your team via GitHub

https://github.com/user-attachments/assets/09b91e62-6698-44c1-bf32-8ee6c674e5e0

How Darc Works

Darc indexes your agent sessions so you can grep them like code, then open exact evidence from prior work.

The indexed sessions can be shared with others via Git backend. See Team Sharing section.

Quickstart

# 1. Install (macOS/Linux)
curl -fsSL https://github.com/0xjunha/darc/releases/latest/download/darc-installer.sh | sh

# 2. Go to a project where you use Claude Code or Codex
cd /path/to/project

# 3. Register the project in your local Darc workspace
darc init

# 4. Sync and index existing agent sessions once
darc refresh

# 5. Teach your agents when to use Darc
#    Adds guidance to recover prior-session evidence when relevant and verify it against current files/tests.
darc agent-help --agents-md-line >> AGENTS.md
# or:
darc agent-help --agents-md-line >> CLAUDE.md

# 6. Test Darc manually
darc search "something you worked on before" --limit 5

Optional: keep the index fresh automatically on macOS.

darc refresh --auto

After that, future agents can use Darc to recover prior evidence before making changes.

A typical agent workflow:

1. Check the active project with darc status or darc status --json.
2. Discover candidates with small darc search, darc list, or darc stats reads.
3. Skim a candidate session with darc list turns <SESSION_ID> --view oneline.
4. Open the exact evidence with darc show turn <SESSION_ID> <TURN_ORDINAL>.
5. Pivot through related files with darc list files --co-touched-with <path> or
   darc list sessions --touching <glob>.

Example: Search and Drill Down

Search prior agent work:

darc search "auth refresh bug" --since 30d --limit 3

Example output, trimmed:

{
  "schema": "darc.query.search.turns.v1",
  "data": {
    "hits": [
      {
        "provider": "codex",
        "session_id": "11111111-1111-4111-8111-111111111111",
        "turn_ordinal": 18,
        "snippet": "Investigated token refresh failure in src/auth/session.rs",
        "matched_paths": [
          "src/auth/session.rs",
          "tests/auth_refresh.rs"
        ]
      }
    ],
    "has_more": false
  }
}

Then drill into the exact evidence:

darc show turn 11111111 18 --step-limit 10

Or skim the surrounding session first:

darc list turns 11111111 --view oneline --limit 20

Team Sharing

Teams can share encrypted Darc session indexes with the Git backend of their choice.

Each team member selects which sessions to export;
Darc redacts the index projection, encrypts it for configured age recipients, and pushes only encrypted artifacts to a
Git branch. Darc does not publish your raw SQLite index or plaintext session archives.

Quick setup:

# Show or create your public recipient, then add a team member's age public key.
darc share key
darc share recipient add <AGE_PUBLIC_KEY>

# Choose what this project exports.
darc share include <SESSION_ID>
darc share include --all
darc share exclude <SESSION_ID>

# Publish and import the team index.
darc push <SHARE_BRANCH>
darc pull <SHARE_BRANCH>

Read commands stay local unless you ask for shared history:

darc search "migration decision" --shared
darc list sessions --scope all
darc show session <SESSION_ID> --shared

By default, darc push <SHARE_BRANCH> uses the active project's Git upstream or origin and writes to darc/<SHARE_BRANCH> branch.

To use a
separate index-only repository:

darc remote add <REMOTE_NAME> <REMOTE_URL>
darc push <SHARE_BRANCH> --remote <REMOTE_NAME>
darc pull <SHARE_BRANCH> --remote <REMOTE_NAME>

Example:

darc share key
darc share recipient add age1...
darc share include --all

# Publish encrypted session indexes to `darc/team` branch of `exmaple/darc-index` GitHub repo.
darc remote add team-index https://github.com/example/darc-index.git
darc push team --remote team-index
darc pull team --remote team-index

Notes:

• Configure Git authentication ahead of time; Darc uses the local git executable and disables interactive credential
  prompts.
• Encrypted share objects are stored as normal Git blobs by default. Set DARC_SHARE_ENABLE_LFS=1 for larger exports.
• Author filters accept stable Darc share user ids. Display names and emails are convenience labels from each exporter's
  local Git config, not authenticated identity.

Why Darc?

Coding agents often uncover useful context once, then lose it across sessions.

Darc lets you ask:

• "Did we already debug this database is locked failure?"
• "Why did we keep this compatibility fallback instead of deleting it?"
• "What alternatives did we reject before landing this implementation?"
• "Which exact turn explains this workaround in src/auth/session.rs?"
• "Which files usually changed together with src/auth/session.rs?"

Instead of dumping raw transcript logs into a prompt, Darc gives agents small, structured, evidence-backed reads they
can chain safely.

Useful Prompts With Darc

The AGENTS.md / CLAUDE.md guidance teaches agents to use Darc when prior context may matter. You can also invoke
Darc explicitly in a prompt when you want an agent to investigate prior sessions.

Darc provides exact prior-session evidence; the agent synthesizes it and verifies current facts against the repository.

Example prompts:

Use Darc CLI to review the last 30 days of agent sessions. Group the work
into distinct workstreams, summarize what looks resolved or open, and cite
the key session/turn evidence.

Use Darc CLI to find important implementation decisions that are not
obvious from current code or docs. Explain the rationale and cite evidence.

Use Darc CLI to investigate repeated failures around <module-or-feature>.
Identify recurring patterns, fixes already tried, and risks that still
need verification.

For broad investigations, add this line to the end of the prompt:

In your answer, separate Darc evidence, current source/test verification, and remaining uncertainty.

Common Workflows

Search Prior Debugging

darc search "panic unwrap" --since 30d --limit 5
darc list turns <SESSION_ID> --view oneline --limit 20
darc show turn <SESSION_ID> <TURN_ORDINAL> --step-limit 10

Find Sessions That Touched a File

darc list sessions --touching "src/auth/session.rs" --limit 10
darc list turns <SESSION_ID> --view oneline --limit 20

Find Related Files

darc list files --co-touched-with src/auth/session.rs --limit 10

Search Exact Text

darc search \
  --mode literal \
  --query "database is locked" \
  --include-tool-output \
  --limit 5

Search Tool Output

darc search \
  --mode regex \
  --query "error\s+code" \
  --include-tool-output \
  --since 7d \
  --limit 5

Resolve a Quoted Session

darc resolve session <SESSION_PREFIX> --pick-one
darc show session <SESSION_ID> --turn-limit 5 --step-limit 10

Why Not Just rg the Raw Logs?

You can. For simple text search, raw rg is often enough.

Darc becomes useful when you need structured recovery, not just matching lines.

Darc is not trying to replace rg. It gives rg-like discovery over agent history plus the structured handles needed
to recover exact prior work and build context.

Darc Is Not Another Memory System

Darc does not summarize your work, decide what is important, or rewrite agent state.

Agent memory is useful, but it is selective by design. Summaries are lossy, and every memory layer has to decide what
is worth keeping.

Darc takes a different path: agents are already good at using tools, so Darc gives them a local search tool over prior
sessions. They can build context on demand from exact evidence instead of relying only on distilled memory.

Use Darc with:

• AGENTS.md or CLAUDE.md for explicit, versioned project instructions
• Codex and Claude Code memory for preferences, corrections, workflows, and high-level context
• Darc for exact prior-session evidence: sessions, turns, tool-call evidence, files, and citations

The goal is not "remember everything forever." The goal is to let agents ask narrow questions, retrieve bounded
evidence, and avoid repeating old work.

Core Commands

Run darc --help or darc help <command> for the current CLI surface.

Documentation

• Documentation index
• Query protocol: JSON envelopes, command contracts, search modes, payload semantics, and
  error contracts.
• Background refresh service: macOS auto-refresh service behavior and watch settings.
• Project rename and linking: keep history across checkout moves and repository renames.
• Upgrade and uninstall

Privacy and Local-First Behavior

Darc reads local agent rollouts and writes archive/query state under ~/.darc.

• Session archives and query indexes stay local.
• Indexed data is best-effort redacted before it is stored, including common secrets, credential-shaped values, local
  home-directory prefixes, and bulky data blobs.
• Raw SQLite index files are local cache artifacts, not sharing artifacts; darc share exports fresh encrypted,
  redacted projections from the index instead of publishing the SQLite database.
• Read commands query your local SQLite index.
• Optional upgrade checks contact GitHub only for release metadata and require explicit opt-in.

Current Limitations

• Darc currently supports Claude Code and Codex local session histories.
• macOS and Linux are supported.
• darc refresh --auto is macOS-only for now.
• Linux users can run darc refresh manually or wire it into their own watcher.
• Darc retrieves exact evidence; it does not summarize or rank durable decisions for you.
• File analytics are best-effort, derived from normalized tool calls and observed command text, not syscall-level
  tracing.

Development

Darc is split into focused Rust crates:

• crates/cli: command-line surface.
• darc-core: thin facade and orchestration layer.
• darc-sync: source discovery, sync planning, and archive copy execution.
• darc-store: SQLite schema, migrations, and derived-index analytics shared by indexing and query.
• darc-index: normalized archive ingestion and duplicate resolution.
• darc-query: read-only query, search, and stats over indexed data.
• darc-rollout: provider transcript models and parsers.
• darc-paths, darc-rollout-audit, and darc-test-utils: shared support, maintainer audits, and tests.

Useful checks:

cargo +nightly fmt
cargo +stable clippy --locked --workspace --all-targets --all-features -- -D warnings -W clippy::all
cargo +stable test --locked --workspace
cargo +stable check --locked --workspace --all-targets --all-features --profile dist