Octopodas
    Product

    The end of
    agents that forget.

    One pip install gives any Python agent persistent memory, loop detection, an audit trail, and crash recovery. Automatic. No config.

    Octopoda shared memory dashboard showing spaces, project items, authors, and recent updates
    Core

    Beyond stateless agents.

    Memory, loop detection, and recovery that turn on themselves. You keep writing agent code.

    Loop Intelligence

    Real-time loop detection and agent health monitoring. Octopodas watches for retry loops, duplicate writes, runaway costs, and drift, in real time.

    Agent health overview
    100
    code-reviewerHealthy
    No issues
    100
    data-pipelineHealthy
    No issues
    100
    product-strategistHealthy
    No issues
    100
    market-researchHealthy
    No issues
    100
    customer-supportHealthy
    No issues
    All alerts
    All (3) Loops (0) Latency Errors Crashes
    customer-support ⟳ REPEAT LOOP ×5 3d ago — 3d ago
    Keys affected
    customer:eve:last_contactcustomer:carol:last_contact (5 keys)
    Sample message
    Agent stored similar content 4 times in 5 minutes (key: customer:eve:last_contact)
    Why this matters

    Agent stored nearly identical content 5 times over 3d ago. This usually means:

    • A retry loop re-processing the same input
    • Missing deduplication before writes
    • A polling loop storing on every tick
    data-pipeline ⟳ REPEAT LOOP ×68 4d ago — 3d ago

    Decision Audit Trail

    Every write, recall, decision, crash, recovery, and handoff is logged with a memory snapshot. Replay any agent's reasoning, see what it knew, and prove what happened, in court if you have to.

    Audit Trail

    Full audit log of agent decisions, crashes, recoveries, handoffs, and anomalies
    All Agents All Decisions Crashes Recoveries
    Audit Replay
    data-pipeline dd/mm/yyyy 📅 dd/mm/yyyy 📅
    Timeline 50 events
    DECISION
    product-strategist

    Cut marketplace from Q2, push to Q3

    3d ago ⌄
    DECISION
    code-reviewer

    Approve PR #315 with test requirement

    3d ago ⌃
    DECISION
    Approve PR #315 with test requirement
    REASON
    Test coverage was below 80%. Added test requirement to meet quality gate.
    IMPACT
    Ensures code quality and prevents regressions in production.
    DECISION
    code-reviewer

    Defer PR #155 pending refactor

    3d ago ⌄
    CRASH
    market-research

    External API timeout

    3d ago ⌄
    DECISION
    customer-support

    Escalate bob's rate-limit issue to engineering

    3d ago ⌄
    RECOVERY
    data-pipeline

    Auto-recovered from timeout

    3d ago ⌄

    The Atlas

    A live 3D view of every memory write, decision, and loop across your agent fleet. Click any node to see the full story. With Live Session Replay & built-in write blocks when a loop is detected.

    Atlas● LIVE
    $1.25562 loops detected

    Persistent memory

    Agents remember across sessions, restarts, and crashes. SQLite local, Postgres cloud. You pick.

    Decision audit trail

    Every write, recall, and decision is logged with a memory snapshot. Full replay in the dashboard.

    Sub-1ms crash recovery

    Snapshots fire every 25 writes automatically. Restore to any point, even mid-agent-run.

    Shared memory spaces

    Multi-agent teams coordinate through a shared namespace with row-level isolation.

    Drop-in framework support

    LangChain, CrewAI, AutoGen, OpenAI Agents SDK, MCP, OpenClaw. One line to wire it in.

    Runs anywhere

    Local mode stores everything on your machine. Cloud mode is one env var away. No lock-in either way.

    Tell it once. Watch it remember.

    Every memory, on display

    Browse every memory. See every version.

    Filter by tag, importance, or prefix. Click any entry and the right pane shows the full version history what the memory said, how it changed, and when.

    Every write is a receipt. Octopoda even flags duplicates automatically, so your agent never quietly stores the same fact twice.

    Memory Explorer

    Browse and search agent memories

    New Memory
    customer-support Prefix search… Load
    Filters All tags All importance Newest first
    Memories4 total
    conversation:user:name just now
    Michael
    preferenceuser
    conversation:project:context 2m ago
    Building a SaaS company
    contextproject
    conversation:project:stack 3d ago
    Building a LangChain SaaS
    contextproject
    preference:lang 3d ago
    TypeScript over JavaScript
    preference
    Version Historyconversation:project:context
    2 versions
    v2 Current Changed Active Now
    { "user": "Michael", "context": "Building a SaaS company" }
    v1 Active 3d 4h
    { "user": "Michael", "context": "Building a LangChain SaaS" }
    Across sessions, on any framework

    Close the tab. Come back Wednesday.

    Two days later. Different session. Different machine, even. Your agent picks up exactly where it left off — because the memory lives outside the process, not inside it.

    No re-priming. No re-pasting context. No "start from scratch" every morning.

    ~ / mike / agent.py
    Session 1 — Monday 9:14 am
    You hi i'm mike, building a langchain saas
    Agent got it mike. what are you working on today?
    — tab closed —
    Session 2 — Wednesday 3:47 pm
    You what's my name and what do i work on?
    Agent you're mike. you're building a langchain saas.
    Performance & Analytics

    The agent metrics you should've had from day one.

    Cost per agent. Tokens per decision. Loops caught. Dollars saved. Memory health breakdown. One dashboard, zero instrumentation.

    Octopodas performance dashboard showing cross-agent comparison, leaderboard, latency charts and per-agent analysis
    Get started

    Optimise Your Agent Fleet To Full Capacity.

    Memory, loop detection, and recovery — for every agent you ship.

    Start free
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