Find · Trace · Prove — Fast, Verified, Citable
DepGraph turns third-party packages into citation-ready briefs, traces, and evidence your agents can act on.
What Slows Engineering Down
Graph‑native understanding addresses real development bottlenecks — from call chains across modules to reusable, citable outputs.
Documentation gaps
Scattered examples and missing design rationale make correct usage unclear.
Black‑box internals
Hard to see how dependencies actually work when issues arise.
Unclear entry points
Hard to locate the right files or functions to start from.
Integration conflicts
Cross‑module issues are opaque; causes hide across boundaries.
Search noise
High keyword hits, low relevance; results are unstable for reuse.
Not verifiable
Answers lack citations; hard to verify or automate confidently.
How DepGraph Fixes the Context Gap
Compare how legacy docs leave agents guessing versus how DepGraph MCP delivers source-backed context they can trust.
API drift → Inaccurate context
Code changes faster than docs; mismatched guidance misleads agents.
Coverage gaps → Incomplete context
Missing edge cases and design rationale leave blind spots.
Examples bias → Hallucinations
Limited samples force models to guess beyond the happy path.
Source of truth → Accurate context
Built from source code, so humans and agents see the latest state.
Code snippets → Concise context
Function-level pulls keep answers tight without code dumps.
Relation-aware → Fewer hallucinations
Resolves calls, imports, and dependencies to ground reasoning.
Agent Playbooks the Team Already Needs
Hand agents prompts for the exact moments you keep hitting — onboarding a third-party package, untangling internals, and shipping fixes with backed-up answers.
Ramp on New Packages
Explain What the Code Really Does
Technical Implementation
How DepGraph composes Find · Trace · Prove under the hood for agents and reviewers.
Find • Function Index Search
DepGraph keeps a function-level index so agents can surface the right code or config without guesswork.
Each hit returns the function name, file path, line range, stable id, and a trimmed snippet.
Ask for code, get precise hits
Search across functions, files, and configs in one request with consistent ordering.
Keep results steady
Limit the count, keep the order, and paginate so repeat prompts match the same output.
Stay scoped to the right folders
Filter by folder, glob, or tag so the agent stays inside the boundary you expect.
Carry the proof with the hit
Every result ships with repo path and line numbers plus a short snippet for quick checks.
Why Different
Graph-native core and a citation pipeline deliver stable, citable outputs built for AI agents and reviews.
Graph‑Native Core
First‑class code graph (defs/refs/imports/calls) with shortest‑path queries across files and modules
Citation Pipeline
Extract path:line slices into tiny, citable outputs built for AI agents and reviews
Snapshot‑Based Analysis
Static, read‑only analysis of package source — no build or runtime required
Multi‑Language Parsers
20+ languages via pluggable static analyzers