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SharedmemoryforAIcodingagents.

Start Free, 5 min setup

Your AI agents forget everything between sessions. memkith gives them persistent, shared memory so they stop repeating mistakes and start building on what your team already knows.

Your agents have amnesia.

Every session starts cold. The useful fix, the rejected path, the hidden constraint, the last painful lesson: all of it falls out of memory the moment the context window resets.

The same mistake gets rediscovered.

A failed path disappears with the session, so the next agent walks straight back into it and bills the team twice.

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Fig. 01: The same mistake gets rediscovered.

Critical context evaporates between handoffs.

Architecture notes, one-off fixes, and weird edge cases live in chat history until the window closes. Then they are gone.

Fig. 02: Critical context evaporates between handoffs.

Each agent learns alone.

What Cursor discovers never reaches Claude, CI, or the next teammate. Your org keeps paying to relearn the same codebase.

Fig. 03: Each agent learns alone.

How memkith works

One CLI install. Memory grows automatically. Every session makes the next one smarter.

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Agents learn as they work

When your AI agent debugs an issue, discovers a constraint, or finds a pattern, it records what it learned. No separate workflow. Knowledge accumulates through normal use.

Your team curates what matters

Engineers review and approve what agents want to remember, just like approving a code change. Approved knowledge ranks higher. Bad memories get rejected.

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Every agent inherits the full picture

Next time any agent on the team touches that code, it already knows what was tried, what failed, and what rules apply. No more starting from scratch.

Core capabilities

Built for multi-agent teams.

One memory layer that works across every AI tool your team uses, scoped to your codebase, branches, and workflows.

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Memory that follows your branches

Branch-scoped knowledge. Provisional until merge, promoted when shipped, demoted when abandoned.

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One memory for every agent

Claude, Codex, Cursor, CI. All share the same memory. No vendor silos. What one agent learns, every agent knows.

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Trust that builds over time

Human-approved knowledge ranks higher. Stale memories decay. Superseded knowledge becomes history, not noise.

Why not just use config files?

Shared across the whole team

memkith
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PartialWiki

Works with every AI agent

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PartialWiki

Scoped to files & branches

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Wiki

Knowledge survives merges & rebases

memkith
PartialConfig
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Grows automatically from work sessions

memkith
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Team standards pushed to agents

memkith
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Wiki

Full decision history preserved

memkith
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Wiki

Works without additional tooling

memkith
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Wiki

Human-curated trust scoring

memkith
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Ship faster with shared context.

Based on internal benchmarks during development.

Your agents are forgetting everything right now.

Every session without memkith is knowledge lost. Free for teams up to 5. No credit card required.