# agentmemory — AI Coding Tool Review & Pricing

> agentmemory is a local, persistent memory server for AI coding agents that automatically captures session events, compresses them into durable facts, and provides intelligent context retrieval. It eliminates the need for manual re-explanation by allowing agents to recall project preferences, bugs, and architectures across different sessions and tools.

Source: https://ai.dosa.dev/tools/agentmemory · Updated Oct 15, 2026 · Category: Developer Productivity & Workflow · Published by dosa.dev

## At a glance

- **Tool**: agentmemory
- **Company**: Rohit Ghumare
- **Category**: [Developer Productivity & Workflow](https://ai.dosa.dev/category/productivity)
- **Pricing model**: Open Source
- **Official website**: https://github.com/rohitg00/agentmemory

## Key features

- Automatic, zero-effort capture of agent tool usage and prompts via lifecycle hooks
- Hybrid semantic search combining BM25, local vector embeddings, and knowledge graph traversal
- Multi-agent support via MCP and REST API, enabling shared project memory across different tools
- Memory evolution with versioning, auto-forgetting of stale facts, and contradiction detection
- Real-time observation viewer and graph visualization on port 3113

## Pricing

**Model**: Open Source

Open-source and free to self-host with local, offline embeddings. Optional cloud-based LLM features may incur usage costs from third-party providers.

## Who it is for

- **Best for**: Developers who frequently use multiple AI coding agents (such as Claude Code, Cursor, or Cline) on the same project and want to maintain long-term context without manual documentation.
- **Not ideal for**: Users requiring a fully managed, cloud-hosted SaaS memory solution, as this tool is specifically designed for local-first, self-hosted deployment.

## Verdict

An essential productivity tool that effectively transforms static, per-session agent interactions into a cohesive, searchable project history with significant token savings.

## Recent updates

Recent releases added Redis backend support, REST API authentication, improved graph compaction, and first-class support for GitHub Copilot CLI, Warp, and Zed, along with architectural fixes for durable capture and vector index stability.

## Frequently asked questions

### Is agentmemory free?

Yes - agentmemory is Open Source. Open-source and free to self-host with local, offline embeddings. Optional cloud-based LLM features may incur usage costs from third-party providers.

### Is agentmemory open source?

Yes - agentmemory is open source. Open-source and free to self-host with local, offline embeddings. Optional cloud-based LLM features may incur usage costs from third-party providers.

### Who is agentmemory best for?

Developers who frequently use multiple AI coding agents (such as Claude Code, Cursor, or Cline) on the same project and want to maintain long-term context without manual documentation.

### Who is agentmemory not ideal for?

Users requiring a fully managed, cloud-hosted SaaS memory solution, as this tool is specifically designed for local-first, self-hosted deployment.

### What are the best agentmemory alternatives?

The closest agentmemory alternatives on ai.dosa.dev are Pieces for Developers, agenttrace, Vibe Kanban - all listed under Developer Productivity & Workflow.

### Who makes agentmemory?

agentmemory is developed by Rohit Ghumare. It is listed in the Developer Productivity & Workflow category on ai.dosa.dev.

## Top alternatives

- [Pieces for Developers](https://ai.dosa.dev/tools/pieces-for-developers) (Freemium) — Developers and teams who need to manage disparate workflow context, revisit past coding decisions, and maintain consistent documentation across multiple tools and projects.
- [agenttrace](https://ai.dosa.dev/tools/agenttrace) (Open Source) — Developers who need a privacy-conscious way to audit, monitor, and diagnose the behavior, costs, and performance of various AI coding agents locally.
- [Vibe Kanban](https://ai.dosa.dev/tools/vibe-kanban) (Free) — Solo developers and individual power users who need to run multiple AI coding agents in parallel while managing separate git worktrees and tasks locally.
- [ai-memory](https://ai.dosa.dev/tools/ai-memory) (Open Source) — Developers who frequently switch between multiple AI coding agents or machines and want a unified, persistent knowledge base that survives session ends and tool switches.
- [smolvm](https://ai.dosa.dev/tools/smolvm) (Open Source) — Running untrusted code, powering coding agents with persistent/resettable workspaces, and deploying portable VM-based workloads that require a real Linux kernel.
- [coop](https://ai.dosa.dev/tools/coop) (Open Source) — Security-conscious developers who want to run autonomous coding agents on real projects without risking host machine compromise.
- Full alternatives guide: https://ai.dosa.dev/tools/agentmemory/alternatives