Graft
★ 7.0k
vs
deja-vu
★ 799
Graft vs deja-vu
Graft: Graft is an open-source context layer designed to accelerate and optimize coding agents like Claude Code, Cursor, and Gemini by providing deep contextual understanding of large codebases. It builds a human-readable code graph and linked markdown nodes, enabling agents to operate faster, cheaper, and with higher correctness by avoiding repeated code exploration.; deja-vu: Deja-vu is a zero-dependency, local-first binary that indexes and makes searchable the historical sessions of various AI coding agents. It acts as a universal memory layer, allowing agents to recall past solutions and context efficiently, even from before its installation.
01
TL;DR
Choose Graft if…Accelerating coding agents for faster and cheaper code understanding and generation.
Choose deja-vu if…Reusing solutions from past agent conversations to avoid re-debugging or re-implementing.
02
Side-by-Side Comparison
03
Features
Graft01Generates a human-readable, linked markdown graph of the codebase for contextual understanding.
02Provides real explanations of system parts and their connections, bypassing redundant agent exploration.
03Automatically refreshes the code graph against the working tree for real-time accuracy, even with uncommitted edits.
04Supports multiple LLM providers for generating summaries, allowing users to use their preferred models and keys.
05Acts as a local, regenerable cache (`graft/` folder) that is not committed to version control.
deja-vu01Fast, Retroactive Session Search
02Automatic AI Agent Memory Recall
03Cross-Machine Memory Synchronization
04Seamless Agent Context Handoff
05Automated Sensitive Data Redaction
04
Use Cases
Graft↳Accelerating coding agents for faster and cheaper code understanding and generation.
↳Onboarding new developers or agents to complex codebases by providing pre-mapped context.
↳Identifying the blast radius of code changes to understand potential impacts.
↳Enhancing agent correctness in resolving real-world GitHub issues (SWE-bench verified).
↳Optimizing tool-call, token, and latency savings for LLM-powered coding workflows.
deja-vu↳Reusing solutions from past agent conversations to avoid re-debugging or re-implementing.
↳Debugging complex issues by accessing comprehensive past debugging sessions and design decisions.
↳Maintaining persistent context across different AI agents and development machines.
↳Sharing sanitized session digests with colleagues for onboarding or knowledge transfer.
↳Understanding file change history and decision-making via session blame.
05
Best For
GraftTrendingEssential
deja-vuHidden Gem
FAQ
FAQ
What is the difference between Graft and deja-vu?
Both Graft and deja-vu are in the Code Assistant category. Graft has 7.0k stars, while deja-vu has 799 stars.
Which is better, Graft or deja-vu?
The best choice depends on your use case. Choose Graft if Accelerating coding agents for faster and cheaper code understanding and generation., and deja-vu if Reusing solutions from past agent conversations to avoid re-debugging or re-implementing..
Is Graft free or open source?
Yes, Graft is open source on GitHub (MIT).
Is deja-vu free or open source?
Yes, deja-vu is open source on GitHub (MIT).
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