by AgentToolkit · MCP Server · ★ 95
Evolve: On‑the‑job learning for AI agents Blog posts: IBM announcement | Hugging Face blog Coding agents repeat the same mistakes because they start fresh every session. Evolve gives agents memory — they learn from what worked and what didn't, so each session is better than the last. Evolve is a system designed to help agents improve over time by learning from their trajectories. The Lite version is designed to effortlessly slot into existing agent assistants like Claude Code and Codex.
| Stars | 95 |
| Forks | 11 |
| Language | Python |
| Category | MCP Server |
| License | Apache-2.0 |
| Quality Score | 70.3553180589276/100 |
| Open Issues | 61 |
| Last Updated | 2026-07-08 |
| Created | 2025-12-12 |
| Platforms | claude-code, codex, mcp, python |
| Est. Tokens | ~15k |
Explore other popular mcp server tools:
altk-evolve is Self improving agents through iterations. It is categorized as a MCP Server with 95 GitHub stars.
altk-evolve is primarily written in Python. It covers topics such as agent-learning, agent-memory, agentic-workflows.
You can find installation instructions and usage details in the altk-evolve GitHub repository at github.com/AgentToolkit/altk-evolve. The project has 95 stars and 11 forks, indicating an active community.
altk-evolve is released under the Apache-2.0 license, making it free to use and modify according to the license terms.