io.github.codeledgerECF/codeledger

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Local context and engineering evidence for AI coding agents.

Que pouvez-vous faire avec io.github.codeledgerECF/codeledger ?

  • Give agents the right context: deterministic file selection, scope
  • Keep work continuous: session summaries, checkpoints, mid-session refine,
  • Keep agents inside the task: scope contracts, intent governance, loop
  • Prove what happened: review intelligence, receipts, provenance, audit

Installation

Ajoutez ceci à la configuration MCP de votre client (Claude Desktop : claude_desktop_config.json ; Cursor : .cursor/mcp.json ; VS Code et les autres utilisent la même forme « mcpServers »).

NPM package @codeledger/cli
Claude Code
claude mcp add codeledger -- npx -y @codeledger/cli@0.10.82 mcp start
Configuration JSON (Claude Desktop, Cursor, VS Code)
{
    "mcpServers": {
        "codeledger": {
            "command": "npx",
            "args": [
                "-y",
                "@codeledger/cli@0.10.82",
                "mcp",
                "start"
            ]
        }
    }
}

Documentation

Tirée du README du projet sur GitHub, actualisée chaque semaine. Les liens ouvrent GitHub.

Sommaire
  1. CodeLedger
  2. Try It
  3. Example Benchmark
  4. Start Here
  5. How It Works
  6. Core Capabilities
  7. Agent Integration
  8. Trust And Verification
  9. Install
  10. Everyday Flow
  11. Architecture
  12. Privacy
  13. License
  14. Part Of ContextECF

CodeLedger

Give AI coding agents the right repo context before they start - then verify what changed.

CodeLedger is local-first context control for AI coding agents. It scans a repository, selects a bounded task-relevant set of files, and writes an evidence-backed context bundle before the agent begins work.

Works with Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, and other CLI or MCP-compatible coding agents.

Try It

npm install -g @codeledger/cli
cd your-project
codeledger ready --task "Fix null handling in user service"

CodeLedger initializes the repo if needed, refreshes the index, and creates the task-specific bundle at .codeledger/active-bundle.md. Your agent reads that artifact first so it starts with the files most relevant to the task.

Runtime analysis is local by default. Installing or updating may fetch packages or release artifacts from npm and GitHub Releases; CodeLedger runtime analysis does not send your source code through CodeLedger telemetry by default.

Example Benchmark

Example result from a mid-sized Node.js service. Results vary by repository, task, agent, and scenario.

MetricWithout CodeLedgerWith CodeLedgerChange
Tests Passed78%94%+16%
Iterations42-50%
Files Changed179-47%
Time to Finish6m 12s3m 40s-41%
Token Usage28k18k-36%

Do not take the benchmark on faith - measure CodeLedger on your own repo:

codeledger compare \
  --scenario .codeledger/harness/scenarios/auth-rate-limit.json \
  --guided

If CodeLedger improves your coding-agent workflow, star the repo to follow releases and help other developers discover it.

Start Here

How It Works

  1. CodeLedger scans the repo for deterministic local signals such as dependency structure, churn, tests, contracts, and task keywords.
  2. It ranks and packs a bounded set of task-relevant files.
  3. It writes .codeledger/active-bundle.md for your coding agent.
  4. After work, verification, receipts, and session summaries help show what changed and whether the selected context was useful.

Same task plus same repo state produces the same file ranking behavior.

Core Capabilities

  • Give agents the right context: deterministic file selection, scope inference, bounded budgets, blast-radius hints, and co-change context.
  • Keep work continuous: session summaries, checkpoints, mid-session refine, and handoff/recovery commands.
  • Keep agents inside the task: scope contracts, intent governance, loop detection, and multi-agent conflict checks.
  • Prove what happened: review intelligence, receipts, provenance, audit exports, and release evidence.

For the full command surface, see the CLI Reference.

Agent Integration

Claude Code can use CodeLedger hooks after codeledger ready initializes the repo. Cursor, Codex, GitHub Copilot, Gemini CLI, Aider, Windsurf, and other agents can read CLAUDE.md plus .codeledger/active-bundle.md, or use the repo-local wrappers when available.

CodeLedger also includes an MCP server for supported tiers:

codeledger mcp start
codeledger mcp status

See MCP Server and Feature Tiers for setup and tier details.

Trust And Verification

  • Runtime source analysis runs locally by default.
  • Source code is not sent through CodeLedger telemetry by default.
  • No account is required for the local CLI flow.
  • Public releases include SHA256SUMS and release-evidence artifacts.
  • codeledger doctor checks the local install, hooks, config, index, and ledger health.
  • The public wrapper, docs, harness, and scanning surface are inspectable in this repo; the protected hardened runtime is covered by LICENSE-CORE.

Install

npm install -g @codeledger/cli
codeledger --version

Or use the release zip:

  1. Download the latest release.
  2. Extract it.
  3. Run install.sh.

The installer uses the bundled package from the zip, so the installed wrapper version matches the release. The wrapper then fetches the matching hardened binary from the GitHub release unless your environment already provides it.

Everyday Flow

cd your-project
codeledger ready
codeledger ready --task "Fix null handling in user service"

Inside an initialized repo, you can also use:

codeledger activate --task "Fix null handling in user service"
codeledger doctor

Browser, cloud, and sandboxed environments can use the repo-local runtime deployed under .codeledger/bin/ after initialization or vendoring.

Architecture

CodeLedger has an open public surface and a protected hardened runtime:

PUBLIC:    CLI wrapper, types, repo scanner, harness, reports, docs, hooks
PROTECTED: Scoring engine, selection algorithm, confidence internals

Use codeledger about, codeledger doctor, and command-specific --explain output to inspect behavior and evidence without exposing protected implementation internals.

Privacy

  • Installation may use npm and GitHub Releases.
  • Runtime analysis runs on your local machine by default.
  • Runtime analysis makes zero source-code telemetry calls by default.
  • Your source code is not required to leave your machine for the local CLI flow.
  • Uninstall at any time.

License

  • Public wrapper, types, repo scanning, harness, reports, docs, and examples: MIT
  • Downloaded hardened binary: CodeLedger Core License

GitHub may classify the combined licensing structure as "Other" because the repo includes both MIT-covered public files and separately licensed protected runtime terms. Changing the license files should be a human legal decision.

Part Of ContextECF

CodeLedger applies Intelligent Context AI's context-control architecture to software engineering. For enterprise-wide governed context across applications and agents, see ContextECF.

CodeLedger is produced by Intelligent Context AI, Inc. See codeledger.dev.

Questions fréquentes

Qu'est-ce que io.github.codeledgerECF/codeledger ?

Local context and engineering evidence for AI coding agents.

Comment installer io.github.codeledgerECF/codeledger ?

Il s'exécute sur votre machine. Dans Claude Code : claude mcp add codeledger -- npx -y @codeledger/cli@0.10.82 mcp start. Pour les autres clients, collez la configuration JSON de cette page dans leurs réglages MCP.

Faut-il une clé API pour io.github.codeledgerECF/codeledger ?

Son entrée au registre n'indique aucune clé ni secret obligatoire. Certaines fonctions peuvent tout de même demander un compte auprès du service auquel il se connecte.

io.github.codeledgerECF/codeledger est-il open source ?

Son code est public sur GitHub, mais le dépôt ne déclare pas de licence standard.

Qui maintient io.github.codeledgerECF/codeledger ?

Il est publié par codeledgerECF. AI.tn le référence sans le maintenir ni le recommander.

Issu du registre MCP officiel. Être listé n'est pas une recommandation : vérifiez le code et les permissions d'un serveur avant de lui donner accès à vos données.