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With AI, Everyone is a Dev. EveryDev.ai © 2026
    1. Home
    2. Developers
    3. Adam Kunicki

    Adam Kunicki

    Adam Kunicki is an individual developer/creator rather than a company. He created codemem, an open-source, local-first memory tool for AI coding agents that captures coding decisions, discoveries, debugging context and project-specific patterns, then recalls relevant context across sessions, machines and selected teammates.

    Visit Website

    At a Glance

    1Tool Listed
    1Product
    10Capabilities
    Discussions
    2026Est.
    Focus Areas
    Agent Memory
    AI Coding Assistants
    MCP Tools
    Connect
    Latest News
    Released codemem v0.46.0-alpha.2, including Pi extension lifecycle client support and fixes across Pi ingestion, Claude boundary handling, OpenCode setup and core/UI behavior.Sep 18, 2026
    Released codemem v0.46.0-alpha.1, with OpenCode 2 tooling feedback, observer/config reliability work, sync and server refactors, and performance improvements.Sep 17, 2026
    Markets
    • Individual software engineers
    • Teams using AI coding agents
    • OpenCode users
    • Claude Code users
    • +2 more

    AI Tools by Adam Kunicki

    (1)
    View codemem
    codemem tool icon

    codemem

    Persistent Memory for AI Coding Agents

    Agent MemoryAI Coding Asst.MCP Tools

    Discussions

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    Latest News

    09/18/2026

    Released codemem v0.46.0-alpha.2, including Pi extension lifecycle client support and fixes across Pi ingestion, Claude boundary handling, OpenCode setup and core/UI behavior.

    github.com
    09/17/2026

    Released codemem v0.46.0-alpha.1, with OpenCode 2 tooling feedback, observer/config reliability work, sync and server refactors, and performance improvements.

    github.com
    09/14/2026

    Released codemem v0.45.0 following two release candidates.

    github.com
    09/10/2026

    Released codemem v0.44.2, following the 0.44.0 release line.

    github.com

    Products & Services

    1
    codemem
    2026

    An MIT-licensed TypeScript developer tool and npm CLI/plugin ecosystem that provides persistent memory for AI coding agents. It stores structured coding memories in local SQLite, performs hybrid lexical/semantic retrieval, automatically injects relevant context, includes a local viewer, and supports optional peer-to-peer sync and selective sharing.

    Market Position

    codemem positions itself as a local-first alternative to cloud-shaped AI memory and generic chat-history tools: it focuses on durable engineering reasoning, structured recall, automatic prompt injection and optional peer-to-peer sync. Its closest alternatives are agent-memory/context products and manually maintained project documentation or wikis; codemem differentiates through local SQLite ownership, hybrid retrieval, background capture and selective sync.

    Leadership

    Founders

    AK

    Adam Kunicki

    Solo creator of codemem and the GitHub account kunickiaj. His GitHub profile lists San Francisco, California and an affiliation with Airbnb; it also shows prior open-source work including beer, fish-completions-stern and contributions to HashiCorp Vault, cert-manager and Signal-iOS.

    Executive Team

    AK

    Adam Kunicki

    Creator and solo developer

    Owns the kunickiaj GitHub repository and copyright for the codemem MIT-licensed software; the GitHub profile lists an Airbnb affiliation and San Francisco, California.

    Founding Story

    The project was started around the problem that code survives an AI coding session but the reasoning usually does not. codemem's stated initial vision is to preserve decisions, observations, debugging trails and project-specific patterns in local SQLite, automatically recall them in later coding-agent sessions, and extend continuity across machines through optional peer-to-peer sync without requiring hosted memory infrastructure.

    Business Model

    Revenue Model

    The available sources describe codemem as MIT-licensed open-source software distributed through GitHub and npm rather than a paid hosted subscription. It is local-first, while observer processing uses the user's configured model provider and may incur that provider's charges or plan usage.

    Pricing Tiers

    Open-source codemem CLI/plugin
    Free

    Installable through npm/npx and source-available under the MIT License; no paid tiers or hosted subscription plans are published in the inspected sources.

    Target Markets

    Industries & Segments
    • Individual software engineers
    • Teams using AI coding agents
    • OpenCode users
    • Claude Code users
    • Codex CLI and Desktop users
    • Developers needing local-first or self-hosted coding context
    Use Cases
    • Recovering debugging context after a dead-end AI coding session
    • Preserving architecture and implementation decisions alongside the work that produced them
    • Carrying coding context between a desktop, laptop or other machines
    • Handing project context between humans and coding agents
    • Remembering repository-specific traps and recurring fixes without maintaining a private wiki
    • Sharing selected project knowledge with teammates while keeping other memories local

    Quick Facts

    Founded
    2026

    History & Milestones

    February 2026

    The GitHub release history shows the project's early 0.9.x release series, including v0.9.17-v0.9.19, establishing the first public release line.

    September 6-10, 2026

    The project shipped the 0.44.x release line, including v0.44.0 alpha/beta, v0.44.0, v0.44.1 and v0.44.2.

    September 14, 2026

    codemem 0.45.0 was released after two release candidates.

    September 17-18, 2026

    The project released v0.46.0-alpha.1 and v0.46.0-alpha.2. The alpha.2 release included Pi extension lifecycle support, queue-first Pi ingestion, Claude boundary reliability fixes, OpenCode JSONC preservation and other core/CLI/UI fixes.

    Key Capabilities

    10
    Automatic capture of coding decisions, discoveries, fixes, observations, session trails and repository-specific patterns
    Automatic relevant-context injection into supported coding-agent prompts
    Local-first SQLite storage with no hosted memory account required
    Hybrid retrieval using FTS5 BM25 lexical search and sqlite-vec semantic search
    Built-in local web viewer for feeds, facts, projects, sessions and observer output
    Peer-to-peer synchronization across machines

    Integrations & Partnerships

    Platform Integrations

    • OpenCode via the @codemem/opencode-plugin and setup command
    • Claude Code via the codemem project's Claude plugin marketplace
    • Codex via the codemem plugin marketplace and Codex hooks
    • npm/npx distribution for the codemem CLI
    • Local MCP over stdio; optional OAuth-protected Streamable HTTP MCP for remote clients
    • macOS x64/arm64, Linux x64/arm64 and Windows support; Node.js 24.15+ prerequisite

    Connect

    Website
    codemem.sh
    GitHub
    kunickiaj

    AI Topics

    3

    Adam Kunicki focuses on these topics:

    Agent Memory(1)
    AI Coding Assistants(1)
    MCP Tools(1)
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