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With AI, Everyone is a Dev. EveryDev.ai © 2026
    1. Home
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    3. CodeStory
    CodeStory icon

    CodeStory

    Code Intelligence

    Local, graph-backed code intelligence engine for coding agents that pre-indexes repositories into a knowledge graph to reduce tokens, tool calls, and guesswork.

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    At a Glance

    Pricing
    Open Source

    Free and open-source under Apache License 2.0. Self-hosted, fully local.

    Engagement

    Available On

    CLI
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    Resources

    WebsiteDocsGitHubllms.txt

    Topics

    Code IntelligenceAI Coding AssistantsAgent Frameworks

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    AFT by cortexkitTabnineDirac
    Developer
    Albert NajjarMontreal, CanadaEst. 2015

    Listed Jul 2026

    About CodeStory

    CodeStory is an open-source codebase grounding engine written in Rust that pre-indexes a local repository into a knowledge graph enriched with semantic context. It is designed to be paired with coding agents such as Codex, Cursor, Claude Code, and GitHub Copilot, running entirely on-device with no data leaving the machine.

    What It Is

    CodeStory gives coding agents a read-only, deterministic map of a repository — files, symbols, call paths, snippets, and bounded answer packets with source citations — so agents can plan, review, and edit from concrete evidence rather than guessing from partial file reads. The project describes itself as "local code intelligence for coding agents" and is licensed under Apache-2.0.

    How It Works

    CodeStory pre-indexes a checkout into a graph structure using tree-sitter for static analysis and semantic search. When an agent session starts, it checks CodeStory's status, grounds the checkout, and then queries the graph instead of re-reading raw source files. Key surfaces exposed to agents include:

    • Symbol and call-path lookup — find where a feature is defined and who calls it
    • Ownership and impact queries — identify which files and tests are affected by a change
    • Subsystem explanations — describe how a subsystem works with citations and explicit uncertainty flags
    • Bounded answer packets — structured responses that flag gaps when coverage is incomplete

    Evaluation Evidence

    The README documents a language-expansion holdout benchmark across 18 pinned public OSS tasks. According to the project's own recorded suite totals, using CodeStory versus not using it produced: context tokens reduced by 43% (9.69M → 5.51M), repeat-task wall time reduced by 45% (7,943s → 4,343s), tool calls reduced by 87% (475 → 60), and direct source reads reduced by 100% (417 → 0). The README notes this holdout "does not prove equal quality for every language, every repo size, or your private checkout."

    Supported Hosts and Setup Path

    CodeStory ships host-specific guides for four coding agent environments:

    • Codex — listed as the recommended first install
    • Cursor
    • Claude Code
    • GitHub Copilot

    Setup involves installing a plugin or adapter once, approving hooks when the host prompts, opening the target repository, and starting a fresh agent session. Normal use requires no CLI commands; a CLI reference exists for repair and debug scenarios.

    Update: v0.13.0

    The latest release is v0.13.0, published on 2026-06-30, with the repository last pushed on the same date. The project was created in February 2026 and has been actively developed since, with the primary language being Rust (2024 edition). GitHub topics on the repository include ai-agents, code-graph, code-intelligence, code-search, knowledge-graph, llm-context, semantic-search, static-analysis, and tree-sitter.

    CodeStory - 1

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    Pricing

    OPEN SOURCE

    Open Source

    Free and open-source under Apache License 2.0. Self-hosted, fully local.

    • Graph-backed local code intelligence
    • Pre-indexes repository into a knowledge graph
    • Symbol and call-path lookup
    • Source citations with explicit uncertainty flags
    • 100% local — no data leaves the machine

    Capabilities

    Key Features

    • Graph-backed local code intelligence
    • Pre-indexes repository into a knowledge graph
    • Symbol and call-path lookup
    • Source citations with explicit uncertainty flags
    • Bounded answer packets for agents
    • 100% local — no data leaves the machine
    • Read-only repository map for coding agents
    • Subsystem explanation with gap flagging
    • Static analysis via tree-sitter
    • Semantic search over codebase
    • CLI reference for repair and debug
    • Host-specific guides for Codex, Cursor, Claude Code, and GitHub Copilot

    Integrations

    Codex
    Cursor
    Claude Code
    GitHub Copilot
    API Available
    View Docs

    Ratings & Reviews

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    Developer

    Albert Najjar

    Albert Najjar builds CodeStory, an open-source local code intelligence engine for coding agents. The project is written in Rust and focuses on graph-backed codebase grounding that keeps all data on-device. It integrates with major coding agent hosts including Codex, Cursor, Claude Code, and GitHub Copilot.

    Founded 2015
    Montreal, Canada
    1 employees
    Read more about Albert Najjar
    WebsiteGitHubLinkedInX / Twitter
    1 tool in directory

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