Skip to main content

Extensible MCP server for semantic code search with plugin architecture supporting multiple embedding providers, vector databases, and data sources.

Project description

CodeWeaver logo

CodeWeaver

Exquisite Context for Agents — Infrastructure that is Extensible, Predictable, and Resilient.

Python Version License Release MCP Compatible codecov

DocumentationInstallationFeaturesComparison


What It Does

CodeWeaver gives Claude and other AI agents precise context from your codebase. Not keyword grep. Not whole-file dumps. Actual structural understanding through hybrid semantic search.

CodeWeaver is Professional Context Infrastructure. With 100% Dependency Injection (DI) and a Pydantic-driven configuration system, it provides the reliability and extensibility required for industrial-grade AI deployments.

Example:

Without CodeWeaver:
  Claude: "Let me search for 'auth'... here are 50 files mentioning authentication"
  Result: Generic code, wrong context, wasted tokens

With CodeWeaver:
  You: "Where do we validate OAuth tokens?"
  Claude gets: The exact 3 functions across 2 files, with surrounding context
  Result: Precise answers, focused context, 60-80% token reduction

CodeWeaver is no longer in alpha!

Early Release (0.x): CodeWeaver is in active development. APIs may change between minor versions. It's very well-tested but still in 'it works on my machine' territory. Use it, break it, help shape it.


How CodeWeaver Stacks Up

Quick Reference Matrix

Feature CodeWeaver Legacy Search Tools
Search Type Hybrid (Semantic + AST + Keyword) Keyword Only
Context Quality Exquisite / High-Precision Noisy / Irrelevant
Extensibility DI-Driven (Zero-Code Provider Swap) Hardcoded
Reliability Resilient (Automatic Local Fallback) Fails on API Timeout
Token Usage Optimized (60–80% Reduction) Wasted on Noise

📊 See detailed competitive analysis →


🚀 Getting Started

Quick Install

Using the CLI with uv:

# Add CodeWeaver to your project
uv add code-weaver

# Initialize with a profile (recommended uses Voyage AI)
cw init --profile recommended

# Verify setup
cw doctor

# Start the background daemon
cw start

📝 Note: cw init supports different Profiles:

  • recommended: High-precision search (Voyage AI + Qdrant)
  • quickstart: 100% local, private, and free (FastEmbed + Local Qdrant)

Want full offline? See the Local-Only Guide.

🐳 Prefer Docker? See Docker setup guide →


✨ Features

🔍 Exquisite Context

  • Hybrid search (sparse + dense vectors)
  • AST-level understanding (27 languages)
  • Reciprocal Rank Fusion (RRF)
  • Language-aware chunking (166+ languages)

🛡️ Industrial Resilience

  • Automatic local fallback (FastEmbed)
  • Circuit breaker pattern for APIs
  • Works airgapped (no cloud required)
  • Pydantic-driven validation at boot-time

🧩 Universal Extensibility

  • 100% DI-driven architecture
  • 17+ integrated providers
  • Custom provider API
  • Zero-code provider swapping

🛠️ Developer Experience

  • Live indexing with file watching
  • Diagnostic tool (cw doctor)
  • Multiple CLI aliases (cw / codeweaver)
  • Selectable profiles for easy setup

💭 Philosophy: Context is Oxygen

AI agents face too much irrelevant context, causing token waste, missed patterns, and hallucinations. CodeWeaver addresses this with one focused capability: structural + semantic code understanding that you control.

  • Curation over Collection: Give agents exactly what they need, nothing more.
  • Privacy-First: Your code stays local if you want it to.
  • Infrastructure over Tooling: Built to be the reliable foundation for your AI stack.

📖 Read the detailed rationale →


Official Documentation: docs.knitli.com/codeweaver/

Built with ❤️ by Knitli

⬆ Back to top

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

code_weaver-0.0.0.post1423.dev0.tar.gz (2.5 MB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

code_weaver-0.0.0.post1423.dev0-py3-none-any.whl (2.1 MB view details)

Uploaded Python 3

File details

Details for the file code_weaver-0.0.0.post1423.dev0.tar.gz.

File metadata

File hashes

Hashes for code_weaver-0.0.0.post1423.dev0.tar.gz
Algorithm Hash digest
SHA256 64b74c1e25db942fd2025a0daa54e5e4669745683b85e3c76fba2fd72e37677e
MD5 42fcb15cccfb28352e38e483d72cb7a5
BLAKE2b-256 05d43ec4a2e1cff318237a0c911f8c7f1a4c674079482654d01f4ec360705310

See more details on using hashes here.

Provenance

The following attestation bundles were made for code_weaver-0.0.0.post1423.dev0.tar.gz:

Publisher: release.yml on knitli/codeweaver

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file code_weaver-0.0.0.post1423.dev0-py3-none-any.whl.

File metadata

File hashes

Hashes for code_weaver-0.0.0.post1423.dev0-py3-none-any.whl
Algorithm Hash digest
SHA256 f89d9ca0e13e9dcfe06e6a4ba7b310d2de94002eeb52e337ffe7c261d25b459e
MD5 276f94389ad1908799f358f9027e2e54
BLAKE2b-256 8f02d047eb6b1738fcfc06e0fddb5324f1e87c997dd0fd03661b48d774f3ddbd

See more details on using hashes here.

Provenance

The following attestation bundles were made for code_weaver-0.0.0.post1423.dev0-py3-none-any.whl:

Publisher: release.yml on knitli/codeweaver

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page