About devin-memory
devin-memory is a persistent memory store for Devin and other MCP clients, designed for AI engineers and developers. It tracks provenance and versions, screens writes, and quarantines suspicious entries for review instead of silently trusting them.
Key features
- 01Provenance-linked memory entries
- 02Write screening and quarantine
- 03Versioning and conflict tracking
- 04Workspace and profile scoping
- 05Recall with expiry and recency ranking
- 06CLI, Python library, and MCP server
Use cases
- 01Keep durable facts across agent sessions
- 02Trace a memory to its source session row
- 03Review suspicious or injected memory before use
- 04Recall workspace-specific context
MCP support
Its stdio MCP server exposes retain, recall, screening, listing, quarantine, verification, and related memory operations. Writes pass through the quarantine gate; promotion tools are available only with an explicit opt-in.
Configuration
Local server config is the same for every client. Copy it into your client’s MCP config file.
uvx devin-memory-mcpDEVIN_MEMORY_DBPath to memory.db (default: ./memory.db)Local servers need a runtime on your machine (e.g. Node.js 18+). Config file locations differ by client; see your client’s docs.
Tools
13Saved tool list · updated 2w ago
| Parameter | Type | Required | Description |
|---|---|---|---|
| tags | string | No | |
| content | string | Yes | |
| workspace | string | No | |
| source_rowid | any | No | |
| source_session | string | No |
Details
From the project READMEPart of the DEVIN ecosystem
Track: Build · Nature: product
For: AI engineers, Developers, Data Scientists
Interface: CLI / Python library / MCP server / Service
Path: AI engineers · step 3/3 — afterdevin-orchestrator
Where this fits
- Job: Build
- Product:
devin-brain - Packages:
devin-memory - Mode: mixed
- Foundation:
devin-internals-spec - Ecosystem:
awesome-devin· registry:devin-powerups
devin-memory
Renamed (Oct 2026): this repository moved from
Icaro0310/devin-memorytoIcaro0310/devin-brain— the PyPI package, CLI commands and MCP server name staydevin-memory; stars, issues and history are preserved by the GitHub redirect.
Unofficial community project. Not affiliated with, endorsed by, or sponsored by Cognition AI. "Devin" is a trademark of Cognition AI.
Linux · Personal Windows · Corporate Windows
Part of the awesome-devin ecosystem: the curated hub for the devin-* tools.
An anti-poisoning memory store for Devin: durable facts with provenance, versioning, and a quarantine gate — so agent memory can't be silently corrupted by a bad session or injected content.
The problem
Agent memory is a poisoning vector. Any tool that persists "facts" between sessions can be corrupted by a single bad session — an injected instruction or a pasted secret becomes a trusted belief in every future session, with no review step and no way to answer "where did this come from?".
Prior art
- The Devin memory MCP (
retain/recall/reflectover.devin/memory/memories.jsonl) — append-only, no screening, no session provenance.devin-memoryexports to that exact line shape. - MemGPT / LangChain memory — persistence layers that optimize for recall, not for auditing or distrusting what was stored.
devin-memory adapts the memory-store idea; it adds the parts those tools
don't have: a quarantine gate and provenance back to real session rows.
What makes it Devin-native
- Side-by-side: every entry can carry
source_session_id+source_rowid, auditable against Devin'ssessions.dbviadevin-internals' read-only store — the memory MCP cannot verify that a claimed source session (or a specific message row) ever existed. The quarantine gate also screens every write for secret and injection shapes. - No-Devin: without
sessions.dbthere is no session provenance to audit — the extra disappears. - One sentence: it's a memory store that remembers where each memory came from — and quarantines suspicious ones until a human releases them.
Install
Python ≥ 3.10 required; install with uv (recommended) or pipx.
uv tool install 'devin-memory[mcp]'
or with pipx (alternative):
pipx install 'devin-memory[mcp]'
For development:
pip install -e ".[dev]"
pytest
Usage
# Store a fact (screened on write; suspect content lands in quarantine)
devin-memory retain "CI is green on Windows + Linux" --tags ci,status
devin-memory retain "..." --source-session <session-id> --source-rowid <n>
devin-memory retain "..." --workspace /path/to/project # scope to a workspace
devin-memory retain "..." --expires-at 2026-12-31T00:00:00Z # TTL: drops
# out of recall/prime after this instant
# Keyword-ranked recall — returns active, unexpired entries only;
# scores are weighted by recency decay so fresh memories outrank stale ones
devin-memory recall "ci status" [--json] [--limit 5] [--tags a,b]
devin-memory recall "ci status" --include-expired # also surface expired
# Quarantine lane: list, mark an existing entry, or release one
devin-memory quarantine # list with reasons
devin-memory quarantine <id> [--reason manual:x] # mark entry as quarantined
devin-memory quarantine --release <id> # human override -> active
devin-memory quarantine --digest [--json] # audit hash (read-only)
# Contradictions: a conflicting retain is linked, not overwritten
devin-memory conflicts [--json] # (newer, older) pairs; resolve with
# supersede / retract / quarantine <id>
# Mine a session for durable knowledge -> proposed entries (inactive
# until reviewed); extraction is heuristic — see "Limitations"
devin-memory extract <session-id> --sessions-db path/to/sessions.db
devin-memory extract --latest --sessions-db path/to/sessions.db [--auto-approve]
devin-memory list --status proposed # review queue
devin-memory approve <id> # proposed -> active
# Context block for a UserPromptSubmit hook — active entries only,
# filtered by workspace + machine profile, bounded by ~4 chars/token
devin-memory prime [--workspace PATH] [--max-tokens N]
# Versioning and housekeeping
devin-memory supersede <id> "corrected fact" [--expires-at <iso>]
# default: inherit old expiry
devin-memory retract <id>
devin-memory list [--status active|proposed|quarantined|retracted] [--json]
devin-memory compact [--json] # dedup report (dry-run)
devin-memory compact --apply # retract copies + vacuum the file
# Audit an entry's provenance against a real sessions.db (read-only)
devin-memory verify <id> --sessions-db path/to/sessions.db
# Export active memories to a memory-MCP-compatible JSONL
devin-memory export --out memories.jsonl
MCP server
devin-memory is also a real MCP server (stdio) — the same retain/recall
pipeline with the quarantine gate on every write, callable from Devin,
Claude Desktop, Cursor or any MCP client:
pipx install "devin-memory-mcp"
The devin-memory-mcp console script also ships inside the base
devin-memory dist, so a bare uv tool install devin-memory (no extra)
leaves a script that exits with error: The MCP server needs the 'mcp' extra — recovery steps live in the Troubleshooting section of each
platform guide (Linux,
Personal Windows,
Corporate Windows).
Client config:
{
"mcpServers": {
"devin-memory": {
"command": "devin-memory-mcp",
"args": ["--db", "/path/to/memory.db"]
}
}
}
The same stdio server registers in other MCP hosts:
Zed — context_servers in settings.json:
{
"context_servers": {
"devin-memory": {
"command": { "path": "devin-memory-mcp", "args": ["--db", "/path/to/memory.db"] }
}
}
}
JetBrains — Settings → Tools → AI Assistant → Model Context Protocol → Add:
{ "mcpServers": { "devin-memory": { "command": "devin-memory-mcp", "args": ["--db", "/path/to/memory.db"] } } }
Antigravity — ~/.gemini/config/mcp_config.json:
{ "mcpServers": { "devin-memory": { "command": "devin-memory-mcp", "args": ["--db", "/path/to/memory.db"] } } }
Tools: retain, recall, screen (dry-run the gate, no write), list,
retract, supersede, quarantine, release, approve, conflicts,
prime, verify, extract, compact, quarantine_digest. The release
and approve promotion overrides are only registered when the server runs
with DEVIN_MEMORY_MCP_PROMOTE=1 — otherwise promotion stays human-only via
the CLI (devin-memory quarantine --release <id> / devin-memory approve <id>). The same flag gates extract's auto_approve parameter, which is
forced off without the opt-in so an AI client cannot skip the review step.
Every tool returns structured data or a {"error", "detail"}
object — nothing raises through the transport. DEVIN_MEMORY_DB works as an
alternative to --db.
VS Code: adapters/vscode/ ships an extension that registers this
server with the editor's built-in MCP support (server definition provider,
VS Code ≥1.102) — launch command, optional DEVIN_MEMORY_DB and workspace
cwd are declared there; the promotion opt-in is pinned off so the
editor-facing server keeps its non-promoting surface.
adapters/ is a self-contained Devin plugin root
(adapters/.devin-plugin/plugin.json + adapters/skills/devin-brain/SKILL.md),
installed with
devin plugins install Icaro0310/devin-brain#adapters — it ships in the
repo, not inside the wheel. The manifest launches the server through
uvx --from 'devin-memory[mcp]' devin-memory-mcp; the promotion
opt-in (DEVIN_MEMORY_MCP_PROMOTE) is never set, so the plugin-facing
server keeps its non-promoting surface. To run against a checkout
instead of PyPI, point a local manifest copy at
uvx --from '.[mcp]' devin-memory-mcp.
Learn from sessions with devin-learning
This companion CLI extracts candidate lessons from a sessions.db and writes
reviewable skill drafts. It does not install drafts into a workspace by default.
devin-learning extract --sessions-db path/to/sessions.db --out ./learning-drafts
devin-learning review --out ./learning-drafts
# After reviewing drafts, explicitly allow output to a live skill directory:
devin-learning extract --sessions-db path/to/sessions.db --out .devin/skills --apply
review is a dry-run unless --apply is given; review --apply moves rejected
drafts under _rejected/. The extractor reads session contents, so keep its
output private until reviewed.
Once drafts sit in a skills tree, catalog-bridge registers them into the
devin-skill-catalog registry as
proposed entries — closing the write→gate→promote loop:
# scans .devin/skills/learned-*/SKILL.md and registers each as `proposed`
devin-learning catalog-bridge .devin/skills
# then the catalog gates and promotes them (its own CLI):
devin-skill-catalog quarantine skill:learned-testing . --apply
devin-skill-catalog promote skill:learned-testing --apply
devin-skill-catalog activate skill:learned-testing --apply
The registry defaults to
<config-dir>/.devin-ecosystem/skill-catalog.json (resolved like
devin-skill-catalog; DEVIN_CONFIG_DIR wins) — override with
--registry. Entries carry metadata only (kind, name, state,
sha256 of the SKILL.md, origin dir, empty history) — draft bodies are
never copied. The bridge is deterministic and idempotent: re-scanning an
unchanged draft changes nothing, an edited draft refreshes sha256, and
items the catalog already moved past proposed are reported as skipped and
left untouched. --dry-run prints the plan without writing. See
docs/skill-catalog-bridge.md for the
contract.
For a shareable summary there is weekly-report — the public surface of the
loop. It emits weekly-YYYY-Www.md with aggregate counts only (lessons by
theme, promoted learned-* skills, quarantine-pending buckets): no session
text, ids or paths, so the file is safe to commit. It resumes from the
devin-learning-weekly cursor, falling back to the last --days (default 7).
devin-learning weekly-report --sessions-db path/to/sessions.db --out ./docs/learning
Memory states
active · proposed (extracted, awaiting approve) · quarantined
(screened or manually flagged, awaiting release) · retracted (withdrawn or
superseded). Only active entries surface in recall/prime/export —
quarantined content is never printed and never recalled.
An active entry can also carry expires_at (ISO-8601, set at retain/
supersede or changed via set_expires_at): once the instant passes the
entry is excluded from recall/prime — excluded, not deleted, so it stays
visible in list/export --all for audit (recall --include-expired
opts out). Entries without expires_at never expire. Separately, recall
applies an exponential recency decay to keyword scores (half-life 30 days,
ops.RECALL_DECAY_HALF_LIFE_DAYS, tunable per call via half_life_days) —
fresher memories win close calls while clearly stronger stale hits still
rank first.
Conflicts, extraction and prime (heuristics)
- Conflicts — a
retainthat gives the opposite directive about the same normalized subject as an existing active entry is stored alongside it with aconflicts_withlink (devin-memory conflicts). The heuristic compares a stop-word-stripped "subject key" plus affirmative/prohibitive polarity — it deliberately misses reworded contradictions rather than mislinking facts. extractscans one session'smessage_nodes(read-only via devin-internals) for durable-knowledge signals — user corrections ("na verdade", "actually", "the right way"), preferences ("always", "never", "sempre", "nunca"), discovered commands (backticked known tools) and paths. Candidates are screened like any write: clean ones landproposed, suspect onesquarantined.--auto-approveskips the review step.primeemits a compact# devin-memory: recalled context (heuristic)block sized for a prompt hook. Entries scoped withretain --workspaceonly prime inside that workspace; entries written under a different machine profile never prime (the profile defaults tocorporate— fail-closed).compactdeduplicates: non-retracted entries sharing exactcontent+workspace+profilecollapse to one survivor — the liveliest status wins (active>proposed>quarantined), ties keep the oldest row. The other copies becomeretracted(never deleted — history and reasons stay auditable) and the survivor inherits the union of tags from copies sharing its status — quarantined or proposed tags never bleed into an active entry. Default is a dry-run report (live entries N→M, per-groupkeep/retractedids, truncated content sha256 — never content);--applyexecutes and runsVACUUMon the file.quarantine --digestprints a deterministic audit fingerprint of the lane: entry count, reason buckets by taxonomy family (free-form manual reasons collapse tomanual:*), and a sha256 over the sorted per-entry fingerprintssha256(content)+sorted(reasons). Keyed on content, not row ids — two stores holding the same quarantined facts digest identically, and any membership or reason change moves it. Always read-only.
The store is ./memory.db by default — override with --db or
DEVIN_MEMORY_DB. It is the only store this tool writes to; Devin's
sessions.db, acp-messages/*.db and state.vscdb are only ever read.
Works with Devin alone (Devin-only mode)
devin-memory keeps a local memory store (JSONL) with provenance tracking and
a quarantine lane — no external memory service, no network calls. Both console
scripts (devin-memory and devin-learning) run on your machine only.
Honest caveat: write-time screening is a heuristic, not a guarantee — suspect entries land in quarantine for human review, so keep that habit.
Platform support
The memory store uses an explicit local SQLite path and the session database is
provided with --sessions-db; no platform-specific path is assumed. Windows
and Linux are supported and covered by CI.
Limitations
- Extraction is heuristic, and proposed by default.
extractlifts keyword-shaped sentences from one session into aproposedreview queue — nothing becomes active withoutapprove(or--auto-approve). For a richer lesson pipeline seedevin-learning. - The screen is a filter, not a guarantee. Pattern-based secret detection
and injection heuristics have both false positives (→ quarantine, one
command to release) and false negatives. Run dedicated scanners
(gitleaks,
devin-redact) too — this complements them. - Recall ranking is keyword-based, deterministic and documented — no embeddings or semantic search in M1.
- Provenance is recorded, not self-verifying.
retainstores the claimedsource_session_id/source_rowid;verifyaudits it against a realsessions.dbafterwards. A bad actor can claim fake provenance — the point is that it is checkable. - Quarantined supersessions still retire the old version. If the
replacement quarantines, review the queue (
quarantine --release). - PyPI distributions:
devin-memoryfor the CLI and optional MCP extra;devin-memory-mcpis the standalone MCP-registry package.
When to use this
- You persist agent memory between sessions and want it distrust-by-default: every write screened, suspect entries quarantined for human release.
- You need to answer "where did this memory come from?" — entries carry
source_session_id/source_rowid, auditable viaverify. - You want memory versioning —
supersede/retractkeep a history instead of silent edits. - You want to stay compatible:
exportwrites the Devin memory MCP'smemories.jsonlline shape.
When NOT to use this
- You need semantic recall — ranking is keyword-based, no embeddings.
- You expect the screen to catch everything — it is a heuristic filter; run dedicated scanners (gitleaks, devin-redact) alongside.
- You expect
extractto read intent — it matches keyword signals and defaults toproposedprecisely because heuristics err.
FAQ
How do I stop agent memory from being poisoned by a bad session? Use devin-memory retain instead of appending to a raw store. Every write is screened for secret and injection shapes — suspect entries land in quarantine and only become active after a human runs quarantine --release <id>.
Can devin-memory prove a memory came from a real session? Yes, via recorded provenance. retain --source-session <id> --source-rowid <n> stores the claimed origin, and devin-memory verify <id> --sessions-db <path> audits it read-only against Devin's actual sessions.db — a fabricated source is checkable, not silently trusted.
Does devin-memory replace the Devin memory MCP? It complements it. The MCP is append-only with no screening; devin-memory adds quarantine, provenance and versioning, and devin-memory export --out memories.jsonl produces the exact line shape the MCP reads.
License
MIT — see LICENSE.
Comments
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.