Stop explaining your project to every new AI session. RepoLineage keeps engineering knowledge up to date as your agents work, carries decisions across sessions and tools, and brings forward the context that matters now.
Your developers and AI agents have already done the hard thinking. See how RepoLineage helps every new session, handoff and tool build on that work—instead of doing it again.
01 / 06Session continuity
New session. No starting over.
A fresh chat should move your project forward, not send it back to day one.
WITHOUT REPOLINEAGEWITH REPOLINEAGE
WITHOUT REPOLINEAGE
You spend the first prompts explaining the repository again.
WITH REPOLINEAGE
The agent can start from your project's current knowledge.
WITHOUT REPOLINEAGE
Yesterday's solved problem becomes today's new investigation.
WITH REPOLINEAGE
Previous findings are there when you need them.
WITHOUT REPOLINEAGE
Valuable context stays behind in a closed chat.
WITH REPOLINEAGE
Project knowledge carries on beyond the session.
02 / 06Team collaboration
One project. One shared understanding.
Stop making every developer and coding agent reconstruct the same picture.
WITHOUT REPOLINEAGEWITH REPOLINEAGE
WITHOUT REPOLINEAGE
Every handoff needs another long explanation.
WITH REPOLINEAGE
New contributors can pick up the established project context.
WITHOUT REPOLINEAGE
Important know-how lives in individual chat histories.
WITH REPOLINEAGE
Engineering knowledge is shared at project level.
WITHOUT REPOLINEAGE
Parallel work produces competing versions of the story.
WITH REPOLINEAGE
Changes are reconciled into a shared, versioned project record.
03 / 06Decisions and history
Stop solving the same problem twice.
The reason behind a decision is often worth more than the decision alone.
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WITHOUT REPOLINEAGE
A discarded approach gets tried all over again.
WITH REPOLINEAGE
Earlier attempts and their outcomes remain traceable.
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Nobody remembers why the architecture took this path.
WITH REPOLINEAGE
Engineering decisions retain their reasoning.
WITHOUT REPOLINEAGE
Evidence is buried somewhere in an old conversation.
WITH REPOLINEAGE
Original session evidence is available when needed.
04 / 06Agents and tools
Change your AI tool. Keep your momentum.
Your project's knowledge should outlive the assistant you used yesterday.
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WITHOUT REPOLINEAGE
Switching coding agents means rebuilding context.
WITH REPOLINEAGE
Supported agents can work from the same project knowledge.
WITHOUT REPOLINEAGE
Useful work is scattered across separate tools and chats.
WITH REPOLINEAGE
Supported session histories can be brought into the project.
WITHOUT REPOLINEAGE
Setting up another agent means another manual briefing.
WITH REPOLINEAGE
Guided setup connects supported agents to the workflow.
05 / 06Ownership and portability
Your project knowledge belongs to you.
Don't let years of engineering understanding disappear behind a vendor boundary.
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WITHOUT REPOLINEAGE
The most useful context lives in a tool's private memory.
WITH REPOLINEAGE
Your repository remains the source of truth for project knowledge.
WITHOUT REPOLINEAGE
Moving to another workflow means leaving knowledge behind.
WITH REPOLINEAGE
Project-owned knowledge stays available across supported tools.
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Exporting what your team learned is an afterthought.
WITH REPOLINEAGE
Portable Markdown export keeps your knowledge usable.
06 / 06Context efficiency
Give your agent what matters. Not everything.
More pasted history doesn't mean better engineering decisions.
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WITHOUT REPOLINEAGE
Every task begins with another giant context dump.
WITH REPOLINEAGE
Relevant current knowledge comes first.
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Important facts get lost among unrelated old conversations.
WITH REPOLINEAGE
Historical evidence is retrieved when the task needs it.
WITHOUT REPOLINEAGE
Time and tokens go into repeatedly explaining the past.
WITH REPOLINEAGE
More of the session can focus on the work ahead.
TOKEN EFFICIENCY
Less context overhead. More engineering.
RepoLineage helps AI coding agents avoid repeatedly rebuilding project context. Based on our practical experience across three development projects, we estimate token savings of 40–70% in context-heavy workflows, depending on the repository, agent and way of working.
The bigger the repository, the greater the potential.
As projects grow, more architecture, decisions and engineering history accumulate. RepoLineage makes that knowledge reusable instead of forcing agents to rediscover it session after session.
40–70%Estimated token savings
✓
Current knowledge first
Start with the engineering knowledge that matters now, rather than reloading the entire project history.
✓
History only when needed
Retrieve previous decisions and supporting evidence when the task requires them.
✓
Less repetition across sessions
Stop repeatedly explaining the same architecture, constraints and earlier findings.
Experience-based estimate from three development projects. Actual savings vary.
BUILT FOR TEAMS
Different developers. Different agents. One shared understanding.
RepoLineage keeps engineering knowledge attached to the repository instead of leaving it scattered across personal chats, disconnected tools or forgotten sessions. When multiple developers and AI agents work on the same codebase, everyone can build on the same evolving understanding.
Developer 01Codex
Developer 02Claude
Developer 03Cursor
One repository
Shared engineering understanding
Current knowledgeDecisions & history
01
New developer. No knowledge reset.
A new team member should not have to reconstruct the project from old chats and fragmented explanations. RepoLineage helps new contributors start from the repository’s maintained engineering knowledge.
02
Different agents. Shared repository context.
One developer may use Codex, another Claude, Cursor or another tool. RepoLineage helps keep the project context tied to the repository instead of tied to a single assistant.
03
Parallel work without context chaos.
When multiple people work in parallel, context easily splits into separate knowledge islands. RepoLineage helps teams preserve one shared engineering picture instead of duplicating explanations everywhere.
04
Decisions stay accessible beyond the original author.
Important architectural choices should still be understandable when the original contributor is unavailable. RepoLineage helps preserve the reasoning and project history behind the current state.
Also valuable for solo developers
The same foundation is just as useful when you work alone. RepoLineage still helps you keep progress, reduce repetition, preserve decisions and return to earlier work with context intact.
EARLY ACCESS · TESTER PROGRAM
Test RepoLineage early. Keep it for life.
Want to try RepoLineage before its official launch? Join the test phase, help us improve the product, and receive a lifetime license for continued use afterward.
Lifetime license
For selected participants who take part in testing; lifetime license capacity is agreed individually.
Your project knowledge moves forward with your code.
No more keeping a giant context document up to date by hand. As supported coding agents work, RepoLineage captures meaningful engineering activity, reviews new findings and keeps the shared knowledge current.
01
Build
You develop as usual. Your coding agent works on real tasks and decisions.
→
02
Remember
Engineering Events retain what changed and the reasoning behind it.
→
03
Review
The agent checks whether the new work changes what the project currently knows.
→
04
Keep current
Relevant findings update shared Current Knowledge for the next task and the next agent.
→
What happened stays traceable. What matters now stays current.
The working coding agent performs the maintenance; no separate RepoLineage AI service is required.
NOT ANOTHER CONTEXT FILE.
Your project already knows enough. Your agent should too.
Stop maintaining endless context files and explaining the same architecture over and over. RepoLineage takes in your existing engineering knowledge, keeps it up to date as development continues, and gives your AI agent the context it actually needs.
01
Bring your knowledge
Turn existing project context, architecture and decisions into reusable engineering knowledge.
02
Recover your history
Import previous AI coding sessions so valuable decisions and discoveries don't disappear into old conversations.
03
Let RepoLineage take over
New engineering knowledge, decisions and their reasoning are maintained as you work. No more manually updating endless context files.
04
Load what matters
Every new session retrieves relevant knowledge instead of carrying the entire project history. Dig deeper only when needed.
Stop starting over.
WITHOUT REPOLINEAGE
New session. Back to square one.
−Growing context files
−Repeated explanations
−Stale or missing decisions
−Unnecessary context overhead
WITH REPOLINEAGE
New session. Keep moving.
✓Maintained engineering knowledge
✓Automatic knowledge updates
✓Relevant context on demand
✓History available when needed
Less repetition. Less context overhead. More engineering.
Knowledge is maintained through supported coding-agent integrations. Agent setup and instruction files may still be needed; historical import depends on the supported session format.
HOW IT WORKS
The answer first. The backstory when you need it.
A coding agent usually needs to know what applies now, not everything that ever happened. Explore how RepoLineage moves from current knowledge to the original work only when more detail is needed.
A simplified illustration of the actual retrieval layers, not a live project session.
01 / KNOW● ○ ○
What should my agent know now?
Current Knowledge
Start from the current project decisions
The agent finds the architecture, constraints and decisions that apply today, so it can build on earlier work instead of reconstructing it.
The normal starting point: maintained knowledge relevant to the task.
02 / UNDERSTAND● ○ ○
Why did we decide that?
Engineering History
Follow the decisions, not a pile of old chats
If the reasoning matters, the agent can look up the relevant Engineering Events: what changed, which approaches were tried and why the current direction was chosen.
History explains the current state without turning outdated decisions into instructions.
03 / VERIFY● ○ ○
What happened in the original work?
Original Evidence
Trace the answer back to its source
When the summary is not enough, the agent can inspect the underlying development session to see the original discussion and evidence.
Original material is there when it is useful — not loaded into every new task.
Use what is relevant now. Go deeper only when the task calls for it.
CAPABILITIES
The context your agents need. None of the history they do not.
Eight connected capabilities that keep work moving between sessions, developers and coding agents.
01 / 08
01
Knowledge that stays current
New engineering findings are reviewed as agents work, so the next task can start from the project’s up-to-date technical understanding.
02
Decisions with a history
Find out what changed, what was tried and why. Important engineering work remains traceable beyond the chat that produced it.
03
One context for the team
Developers working in parallel can share the same maintained project knowledge instead of building separate versions of the truth.
04
Relevant context, not everything
Retrieve what a task needs first. Look into engineering history and original sessions only when a deeper answer is useful.
05
Bring your previous work
Select and import supported older AI coding sessions, even those from before RepoLineage was installed.
06
Keep your preferred agents
Use supported coding agents through project-scoped integrations. Knowledge belongs to the project, not to one chat window.
07
Your project. Your knowledge.
Your team controls its shared engineering memory through the project’s Git data, without a mandatory hosted memory service.
08
Take your knowledge with you
Export current project knowledge as a readable TEAMS-CONTEXT.md file, usable without RepoLineage.
Works with the coding tools your team already uses
Project integrations support Codex, Claude, Cursor, GitHub Copilot and Antigravity. Supported session-history imports vary by provider; you can keep using your preferred coding agents.
Historical import supports completed local sessions from Codex, Claude, Cursor and GitHub Copilot CLI in supported formats. Antigravity history import is unavailable.
Codex
Claude
Cursor
GitHub Copilot
Antigravity
COMPETITIVE LANDSCAPE
A memory feature is not the same as a complete context workflow.
Some products search code. Some save agent conversations. Others share decisions. Compare how they handle current knowledge, history, teamwork, context efficiency and ownership.
Superpowers and TeamContext.ai reviewed: 15 October 2026 RepoLineage Competitive Market Analysis · 23 September 2026
Based on public vendor documentation reviewed on the stated date. A missing or undocumented capability is not proof that a competitor cannot support it. The RepoLineage row represents documented architecture and implemented local behavior, not independent benchmark validation.
Reading the matrix
✓ Documented/direct capability
◐ Partial, adjacent or differently scoped
× Not documented as a corresponding core capability
? Insufficient public documentation
Swipe or scroll to compare →
Comparison at a glance
Product
Historical Recall
Previous AI Session Import
Cross-agent support
Context Efficiency Focus
Standard Format Export
No Mandatory Vendor Cloud/AI Service
RepoLineage
✓
✓
✓
✓
✓
✓
Augment Context Engine
◐
×
✓
✓
?
×
Memco
◐
?
✓
✓
?
◐
GitHub Copilot Memory
×
×
×
×
◐
×
Cursor Projects / Rules
×
?
×
×
◐
×
Conare
◐
✓
✓
×
?
◐
Lockstep
◐
×
✓
×
✓
✓
Enagrams
×
?
✓
×
◐
◐
Phorvec
◐
?
✓
×
◐
✓
Superpowers
◐
×
✓
◐
◐
✓
TeamContext.ai
✓
×
✓
◐
◐
×
Show full comparisonShow concise comparison
Swipe or scroll to compare →
Complete capability matrix
Product
Shared current AI context
Shared engineering history
Historical Recall
Previous AI Session Import
Original evidence
Cross-agent support
Live developer updates
Parallel Team Collaboration
Context Efficiency Focus
Standard Format Export
No Mandatory Vendor Cloud/AI Service
RepoLineage
✓
✓
✓
✓
✓
✓
✓
✓
✓
✓
✓
Augment Context Engine
◐
✓
◐
×
◐
✓
◐
✓
✓
?
×
Memco
◐
✓
◐
?
✓
✓
◐
✓
✓
?
◐
GitHub Copilot Memory
✓
◐
×
×
◐
×
◐
✓
×
◐
×
Cursor Projects / Rules
✓
◐
×
?
◐
×
✓
◐
×
◐
×
Conare
◐
✓
◐
✓
✓
✓
✓
✓
×
?
◐
Lockstep
✓
✓
◐
×
✓
✓
◐
✓
×
✓
✓
Enagrams
✓
✓
×
?
◐
✓
✓
✓
×
◐
◐
Phorvec
✓
✓
◐
?
◐
✓
✓
✓
×
◐
✓
Superpowers
◐
◐
◐
×
×
✓
×
◐
◐
◐
✓
TeamContext.ai
✓
✓
✓
×
◐
✓
✓
✓
◐
◐
×
Where the knowledge lives
Where knowledge lives matters. RepoLineage keeps shared engineering knowledge under project control rather than requiring a separate proprietary memory cloud.
Where the knowledge lives
Product
Primary stored information
Primary storage / ownership
Project-native source of truth
RepoLineage
Current Knowledge, immutable Engineering Events, updates and evidence references
Project-owned Git refs with rebuildable local SQLite, Tantivy and semantic indexes
Yes
Augment Context Engine
Code and repository index, documentation and summaries of commit history
Cloud-backed indexing and search
No
Memco
Reviewed lessons, fixes, constraints, decisions and provenance
Organization memory service, with enterprise deployment options
No, not project-native Git
GitHub Copilot Memory
Repository facts and user preferences
Copilot-managed memory scoped to repository/account
No
Cursor Projects / Rules
Shared project artifacts and rules
Cloud Projects and some repository-stored rules
Partial
Conare
Past AI conversations and retrievable memories
Workspace memory with enterprise self-hosting options
No
Lockstep
Approved decisions, reasoning, source anchors and supersessions
Hosted or self-hosted decision ledger
Partial
Enagrams
Architectural decisions, rationale and shared knowledge graph
Shared knowledge graph, including enterprise deployment options
No
Phorvec
Agent and team memory, knowledge graph and outcomes
Local .avdb or a shared hosted/self-hosted team instance
Partial
Superpowers
Development specifications, implementation plans, workflow skills, task discoveries and review artifacts.
Local agent skills and project Markdown files, including plans and specifications that can be versioned in Git.
Partially – project files can live in Git; no continuously maintained engineering knowledge source equivalent to RepoLineage is documented.
TeamContext.ai
Captured AI coding sessions and turns, team activity, technical decisions, knowledge articles, summaries, handoffs and plans.
Central TeamContext service and API, with local CLI hooks and MCP integration. Project context and team events are synchronized with the service.
No – shared knowledge is primarily managed through the TeamContext service rather than project-owned Git references.
The product or development tool being assessed. Ratings reflect publicly documented features, not independent hands-on testing.
Can the system provide a shared, up-to-date body of project knowledge that multiple developers or AI agents can reuse? What matters is usable knowledge, not just a chat log.
Are technical decisions, changes and their rationale preserved beyond individual AI sessions as a shared engineering history?
Can an AI agent working on a new task selectively retrieve earlier findings, decisions or development steps without rereading the entire history?
Can completed AI development sessions from before installation be imported retrospectively? Recording future sessions alone does not count as historical import.
Can the original sessions, conversation turns or other primary sources behind a technical insight be retrieved and verified, rather than providing only a summary?
Can different supported coding agents use the same solution? This does not automatically mean they share a durable project memory.
Do ongoing activities or new findings become visible to other developers promptly, for example through a team feed or similar status updates?
Does the product support multiple developers or agents working at the same time with shared coordination or a consistent body of knowledge?
Is reducing unnecessary context consumption an explicit architectural or product goal? The symbol does not represent measured token savings.
Can relevant information be reused in a widely readable format such as Markdown? Partial ratings may mean that only individual artifacts can be exported.
Can the core functionality be used without a mandatory cloud or AI service from the product vendor? Services used by the separately chosen coding agent are a different consideration.
What kinds of information does the product primarily store or manage, such as current knowledge entries, decisions, sessions or development plans?
Where is this information held, and who controls its authoritative storage? Examples include project-owned Git data, local files and central vendor services.
Is the project’s own repository the authoritative, durable source of knowledge? Git integration alone does not automatically mean the project owns the complete knowledge base.
ARCHITECTURE
Your project knowledge stays yours.
Your team should not need to trust its engineering history to another vendor’s memory silo. RepoLineage keeps the shared source of truth with your project, and makes it available to supported coding agents.
Your developers and coding agentsCLI · MCP · project skills
Fast local searchSQLite · text search · semantic search
Your project owns its knowledge
The shared engineering history and current decisions stay with your project in Git — not locked inside a vendor’s memory account.
A shared view across tools
Project-scoped integrations help supported agents work with the same engineering context, even when the team uses different tools.
Fast access without the noise
Local search helps agents find the right knowledge without loading every document or conversation into their context.
No mandatory memory cloud
The core works without a hosted RepoLineage AI model or cloud memory service. You keep control of the workflow.
RepoLineage is designed to reduce repeated, irrelevant context. Specific token and cost savings require measured benchmarks.
The Rust core and CLI expose repository-scoped MCP and agent skills. Current Knowledge and historical Engineering Events travel through Git workflows with controlled reconciliation of parallel changes.
PRICING
Simple pricing. Room to grow.
Start free. Choose the number of machines and repositories your setup needs. Scale when you're ready.
Free
€0/month
Machine allowance
2 machines
Repository allowance
1 repository
Starter
€10/month
Machine allowance
2 machines
Repository allowance
2 repositories
Team
€25/month
Machine allowance
5 machines
Repository allowance
5 repositories
Pro
Recommended
€50/month
Machine allowance
10 machines
Repository allowance
Unlimited repositories
Business
€120/month
Machine allowance
25 machines
Repository allowance
Unlimited repositories
Business Plus
€225/month
Machine allowance
50 machines
Repository allowance
Unlimited repositories
Business Pro
€425/month
Machine allowance
100 machines
Repository allowance
Unlimited repositories
INSTALLATION
Tell your AI agent:
Public licensing and installation are expected in Q1 2027. Installation guidance is for selected testers during pre-launch.
Install and initialize RepoLineage from https://repolineage.com/install