Engram is a persistent memory layer for AI coding agents that stores structured observations, session summaries, and project conventions in a local SQLite database.
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It serves as an agent-agnostic brain, allowing multiple coding agents to share context across sessions, machines, and tools to reduce redundant explanations and context waste.
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Agent-agnostic persistent memory via SQLite and FTS5
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Multi-surface access including CLI, TUI, HTTP API, and MCP server
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Curated memory storage for decisions, bug fixes, and session handoffs
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Git Sync for portable memory across different machines
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Optional Engram Cloud for shared project-scoped replication
Open Source
Engram is free and open source under the MIT license with no per-seat pricing or paid tiers.
Best for
Mid-to-large teams or solo developers working on large projects who frequently use AI coding agents like Claude Code, Cursor, or OpenCode and want to minimize redundant token consumption across sessions.
Not ideal for
Developers working on small, irregular hobby projects, or users of agent frameworks that are not currently supported by the Engram MCP or plugin ecosystem.
Engram is a highly effective, performance-oriented tool for power users of AI coding agents. It transforms ephemeral agent sessions into a disciplined, persistent knowledge base, though it requires a proactive approach to managing the local database and ensuring compatibility with specific agent workflows.
Version 3.6.0 released on October 24, 2026, introduced Go toolchain updates and various CI/workflow improvements. Version 3.5.1 (October 20, 2026) provided significant stability fixes, including atomic memory consolidation, improved Windows SQLite storage handling, and dashboard memory management.
As of
Is Engram free?+
Yes - Engram is Open Source. Engram is free and open source under the MIT license with no per-seat pricing or paid tiers.
Is Engram open source?+
Yes - Engram is open source. Engram is free and open source under the MIT license with no per-seat pricing or paid tiers.
Who is Engram best for?+
Mid-to-large teams or solo developers working on large projects who frequently use AI coding agents like Claude Code, Cursor, or OpenCode and want to minimize redundant token consumption across sessions.
Who is Engram not ideal for?+
Developers working on small, irregular hobby projects, or users of agent frameworks that are not currently supported by the Engram MCP or plugin ecosystem.
What are the best Engram alternatives?+
The closest Engram alternatives on ai.dosa.dev are Pieces for Developers, agenttrace, Vibe Kanban - all listed under Developer Productivity & Workflow.
Who makes Engram?+
Engram is developed by Gentleman Programming. It is listed in the Developer Productivity & Workflow category on ai.dosa.dev.
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