Build your own agent with memory, tools and a sandbox
Developers building an agent into a product rather than using one for coding.
| Cost | Open-source libraries; you pay for model tokens and any hosted services you choose |
|---|
What is in it
| Role | Part | Why |
|---|---|---|
| Framework | LangGraph LangGraph is open source and free to use; you pay only for the models and... |
Agent as a graph with state, retries and human approval steps. |
| Memory | Mem0 The open-source library is free to self-host. The hosted Mem0 Platform has a free... |
Remembers users and past work across sessions. |
| Tools | Composio Hobby is free. Pro is $29 a month with $29 of usage included; Enterprise is custom. |
Connects the agent to 1,000+ apps with managed sign-in. |
| Code execution | E2B Hobby is free with a one-time $100 usage credit. Pro is $150 a month plus usage, with... |
Runs generated code in isolated cloud sandboxes. |
| Tracing | Langfuse Free to self-host. Langfuse Cloud has a free Hobby tier, Core at $29 a month, Pro at... |
See every step, its cost and failures. |
Set it up
pip install langgraph mem0ai composio e2b langfuse- Start with one tool and a human approval step; add memory once the basic loop works.
Trade-offs
Five dependencies to keep up to date; start with the framework and tracing, add the rest when a real need appears.
Comments
- Using this stack? Share what worked and what did not.
Other stacks
Claude Code on a $20 plan, without hitting the limit Open-source agent with a cheap model, paid per token Plan with a frontier model, code with a fast one