vshulcz

    vshulcz/deja-vu

    Coding agent memory for Claude Code, Codex, Cursor and 40 more, built from the session history already on your disk. Local search, MCP and hooks, no LLM, one Go binary.

    llm
    agent-memory
    ai-memory
    claude-code
    claude-memory
    cline
    Go
    MIT
    1.3K stars
    157 forks
    1.3K GitHub watchers
    Updated Oct 29, 2026
    View on GitHub

    Build with Backblaze B2

    SDKs, agent skills, IDE extensions, and reference pipelines from Backblaze Labs. All open source.

    Explore Backblaze Labs

    Loading star history...

    Where it stands

    Rank, growth pace and release cadence relative to everything GStars tracks.

    5 releases in the last 90 days, the latest today, with 82 contributors on GitHub.

    Peaked at #55 in the weekly ranking the week of Sep 20, its best in the past year.

    Use Cases & Benefits

    • Provides a unified, searchable memory layer for coding agents by indexing their local session histories from multiple AI agents on disk.
    • Enables instant, retroactive recall of past coding decisions across different agents without requiring an LLM, ensuring fast, accurate, and privacy-preserving memory access.
    • Use for integrating seamless cross-agent memory recall in AI coding assistants to avoid redundant debugging and rework.
    • Use for local, privacy-focused indexing and search of extensive coding session histories with automatic redaction of sensitive data.
    • Use for synchronizing and sharing coding session memories securely between multiple machines without cloud dependency.

    Should you depend on it?

    License terms, project hygiene and risks, from GitHub metadata and GStars' snapshots.

    License

    MIT

    Permissive: commercial use, modification and redistribution are allowed with attribution.

    Community files

    • README: present
    • Contributing guide: present

    Watch-outs

    No watch-outs from GStars' checks.

    General guidance from repository metadata, not legal advice. How we score

    From the README

    The one memory your coding agents share, built from the history already on your disk.

    Your agent is about to re-debug something you fixed in March — in a different agent. deja indexes the sessions Claude Code, Codex, Cursor and every other agent on this machine already wrote to disk, and hands the right one back in whichever agent asks.

    Nobody searched anything — the agent called deja itself. Every line is quoted from two real sessions.

    Every memory tool starts empty and records forward. deja starts full.

    And nobody has to ask for it: recall arrives at session start, on every prompt, before a file is edited or a command runs, and after one fails. Keys and tokens are stripped as the index is built, so what reaches the model is safe to send.

    85.3% hit@1 on LongMemEval-S · 69.7% on LoCoMo · millisecond lookups over gigabytes of history

    Both harnesses ship in this repo and run on the public datasets in minutes · check the numbers yourself

    Ten seconds to install, about ten to index, and it is useful. The second command wires MCP recall into every agent it finds, turns on session-start recall where the agent supports it, and builds the first index so the next session does not pay for it.

    Start a new agent session and ask it something you worked on months ago:

    have we dealt with jwt refresh rotation before? check your memory

    It does not have to be asked, either — with auto-recall the agent already knows what you solved in that project when the session opens.

    Excerpt from the vshulcz/deja-vu README on GitHub (MIT license). © its authors.Read the full README on GitHub

    Daily snapshots

    Stars gained per day, and how forks and open issues moved, from GStars' daily snapshots

    Sep 21: +12Sep 26: +36Sep 27: +21Sep 28: +9

    +445 stars over 40 days across 9 snapshot days; best day +36 on Sep 26.

    Forks

    157+70

    Open issues

    26-7

    Compared with peers in LLM

    Fastest-growing repositories GStars tracks in this cohort for the week of Nov 1, by 7-day star growth

    vshulcz/deja-vu compared with LLM repositories by stars, 7-day star growth, health score and last release
    RepositoryStars+7dHealthLast release
    thedotmack/claude-mem113.6K+8.8K35today
    NVIDIA/auto-ontology7.5K+5.6K37—
    HKUDS/DeepTutor55.5K+5.5K655 days ago
    affaan-m/ECC297.9K+5.2K6335 days ago
    DietrichGebert/ponytail185.3K+5.1K607 days ago
    vshulcz/deja-vu1.3K—40today
    Category median113.6K+5.5K60—

    Discover Repositories

    Search across tracked repositories by name or description