MusePi

Autonomous Memory

English | 中文 When the local memory backend is enabled, the agent automatically extracts durable knowledge from past sessions and injects a compact summary into future sessions for the same project. Over time it builds a project-scoped memory store — technical decisions, recurring workflows, pitfalls — that carries forward without manual effort.

Disabled by default. Enable the local summary pipeline via /settings or config.yml:

memory:
  backend: local

Usage

What gets injected

At session start, if a memory summary exists for the current project, it is injected into the system prompt as a Memory Guidance block. The agent is instructed to:

Reading memory artifacts

The agent can read memory files directly using memory:// URLs with the read tool:

URL Content
memory://root Compact summary injected at startup
memory://root/MEMORY.md Full long-term memory document
memory://root/skills/<name>/SKILL.md A generated skill playbook

/memory slash command

Subcommand Effect
view Show the current backend injection payload
stats Show backend-specific memory statistics, when supported
diagnose Show backend-specific diagnostics, when supported
clear / reset Delete active backend memory data/artifacts
enqueue / rebuild Force consolidation/retention work for the active backend

How it works

Local summary memories are built by a background pipeline that runs at startup; /memory enqueue marks consolidation work that the next startup picks up. The pipeline is skipped for subagents and for sessions that are not persisted to a session file.

Phase 1 — per-session extraction: For each past session that has changed since it was last processed, a model reads the session history and extracts durable signal: technical decisions, constraints, resolved failures, recurring workflows. Sessions that are too recent, too old, currently active, or beyond the configured scan/age limits are skipped. Each extraction produces a raw memory block and a short synopsis for that session.

Phase 2 — consolidation: After extraction, a second model pass reads all per-session extractions and produces three outputs written to disk:

Phase 2 uses a lease and heartbeat to prevent double-running when multiple processes start simultaneously. Stale skill directories from prior runs are pruned automatically.

Consolidated output is redacted for common secret/token patterns before MEMORY.md, memory_summary.md, or generated skills are written to disk.

Extraction behavior

Memory extraction and consolidation behavior is driven by static prompt files in packages/coding-agent/src/prompts/memories/.

File Purpose Variables
stage_one_system.md System prompt for per-session extraction
stage_one_input.md User-turn template wrapping session content ,
consolidation_system.md System prompt for cross-session consolidation
consolidation.md User-turn prompt for cross-session consolidation ,
read-path.md Memory guidance injected into live sessions ,

Model selection

Memory piggybacks on the model role system.

Phase Role Purpose
Phase 1 (extraction) default Per-session knowledge extraction
Phase 2 (consolidation) smol (falls back to default, then current/first registry model) Cross-session synthesis

If the requested memory role is not configured, memory model resolution falls back to the default role, then the active session model, then the first model in the registry.

Configuration

Setting Default Description
memory.backend off Select local for this pipeline; legacy memories.enabled: true is migrated to memory.backend: local when no explicit backend is set
memories.maxRolloutAgeDays 30 Sessions older than this are not processed
memories.minRolloutIdleHours 12 Sessions active more recently than this are skipped
memories.maxRolloutsPerStartup 64 Cap on sessions processed in a single startup
memories.threadScanLimit 300 Maximum recent session records scanned at startup
memories.maxRawMemoriesForGlobal 200 Maximum per-session extractions supplied to global consolidation
memories.stage1Concurrency 8 Concurrent per-session extraction jobs
memories.stage1LeaseSeconds 120 Extraction job lease duration
memories.stage1RetryDelaySeconds 120 Delay before a failed extraction becomes claimable again
memories.phase2LeaseSeconds 180 Consolidation lease duration
memories.phase2RetryDelaySeconds 180 Delay before failed consolidation is retried
memories.phase2HeartbeatSeconds 30 Consolidation lease heartbeat interval
memories.rolloutPayloadPercent 0.7 Fraction of the selected model’s context budget available to rollout payloads
memories.phase1InputTokenLimit 4000 Per-session extraction input cap
memories.fallbackTokenLimit 16000 Model token budget used when the model has no finite declared context window
memories.summaryInjectionTokenLimit 5000 Shared approximate token cap for the summary and captured lessons injected into the system prompt

Hindsight remote backend

Hindsight requires a reachable Hindsight server. The default endpoint is http://localhost:8888; set a token when the server requires authentication:

memory:
  backend: hindsight
hindsight:
  apiUrl: http://localhost:8888
  apiToken: ${HINDSIGHT_API_TOKEN}

HINDSIGHT_* environment variables override hindsight.* settings, which override built-in defaults. See the complete Hindsight environment-variable table for all 18 supported overrides, accepted values, parsing rules, precedence, and defaults.

By default, Hindsight uses per-project-tagged scoping: writes go to a shared bank with a project tag, while recall includes project-tagged and untagged global memories. per-project isolates each working-directory project in its own bank; global uses one shared bank. An explicit hindsight.bankId selects the bank base. Changes to the bank ID, prefix, or scoping rebuild the primary session state so later operations use the new scope.

Both project-scoped modes name the project the same way: take the repository’s primary checkout root (so every linked worktree of one repository resolves to the same directory), then lowercase its basename. A checkout at ~/code/General therefore tags project:general. Tags are matched literally, so this fold is what keeps one repository in one memory scope no matter how the path is capitalised.

The primary session recalls on its first model turn (hindsight.autoRecall: true) and automatically retains completed conversation turns every three user turns by default. /memory enqueue flushes queued tool retains and forces retention of the current session. At agent end, the primary state schedules cadence-based retention and flushes the retain queue; session disposal drains that queue before releasing the state. Request failures and configured timeouts are logged and leave the coding session usable. Subagents alias the parent’s client, bank, and scope for explicit recall, retain, and reflect calls, but do not run their own automatic recall or retention.

Recall is injected as background context, not instructions, and recalled memory is also available as extra context during compaction. Selecting Hindsight exposes recall, retain, and reflect; memory_edit is not available because upstream Hindsight memories are not edited through this backend. Additional tuning knobs (concurrency, lease durations, token budgets) are available in config for advanced use.

Key files