altk-evolve
★ 131
vs
letta
★ 25.2k
altk-evolve vs letta
altk-evolve: Evolve is a system designed to help agents improve over time by learning from their trajectories. It uses an MCP server for tool integration, vector storage for memory, and LLM-based conflict resolution to refine its knowledge base.; letta: Letta is a powerful platform for building stateful AI agents equipped with advanced memory, enabling them to learn and self-improve over time. It provides both a command-line interface for local agent execution and a comprehensive API with Python and TypeScript SDKs for seamless integration into applications.
01
TL;DR
altk-evolveMemory & Context · ★ 131
Continuous improvement of AI agents in production
lettaMemory & Context · ★ 25.2k
When to choose:
- You want a long-lived agent that remembers past work and rewrites its own memory and context over time.
- You want one agent reachable from CLI, desktop, browser, mobile and messaging apps, with subagents, schedules and hooks.
- You want memory you can inspect: the README says context is tracked in git and can sync to your own repository.
When to skip:
- You only need to add memory to an agent you already use through MCP; a small MCP memory server is a lighter fit.
- You rely on older Letta tutorials or the V1 API server: the project restructured, and the V1 server is retired.
- You want everything to work without signing in: Letta Cloud is the default backend and some features need it.
02
Side-by-Side Comparison
Field
Category
Memory & Context
Memory & Context
Stars
★ 131
★ 25.2k
License
Apache-2.0
Apache-2.0
Install Command
git clone https://github.com/AgentToolkit/altk-evolve.git && cd altk-evolve && uv venv --python=3.12 && source .venv/bin/activate && uv sync
npm install -g @letta-ai/letta-code
Updated
1d ago
5d ago
Open Source
Yes
Yes
Tags
agent-learning, agent-memory, agentic-workflows
Stateful AI, Agent Platform, Advanced Memory
03
Features
01MCP Server: Exposes tools to get guidelines and save trajectories.
02Conflict Resolution: Intelligently merges new insights with existing guidelines using LLMs.
03Trajectory Analysis: Automatically analyzes agent trajectories to generate guidelines and best practices.
04Milvus Integration: Uses Milvus (or Milvus Lite) for efficient vector storage and retrieval.
01Build stateful AI agents with advanced memory
02Agents capable of learning and self-improvement over time
03CLI tool for running agents locally in your terminal
04Comprehensive API for integrating agents into applications
05Support for skills and subagents; fully model-agnostic
04
Use Cases
↳Continuous improvement of AI agents in production
↳Learning from agent trajectories to refine guidelines
↳Integrating with MCP-compatible tools and clients
↳Running AI agents locally in your terminal for coding and general tasks.
↳Integrating stateful AI agents into custom applications using the API and SDKs.
↳Developing self-improving AI systems that adapt and learn continually.
05
Best For
—
Most PopularEssentialTrending
FAQ
FAQ
What is the difference between altk-evolve and letta?
Both altk-evolve and letta are in the Memory & Context category. altk-evolve has 131 stars, while letta has 25.2k stars.
Which is better, altk-evolve or letta?
The best choice depends on your use case. Choose altk-evolve if Continuous improvement of AI agents in production, and letta if Running AI agents locally in your terminal for coding and general tasks..
Is altk-evolve free or open source?
Yes, altk-evolve is open source on GitHub (Apache-2.0).
Is letta free or open source?
Yes, letta is open source on GitHub (Apache-2.0).
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