by letta-ai · Codex Skill · ★ 263
trajectory Normalize agent transcripts from different runtimes into one validated, model-ready record format. Agent tools represent the same concepts—messages, reasoning, tool calls, and tool results—in incompatible native formats. provides one TypeScript API that turns those formats into deterministic, structured records for training, evaluation, analysis, and inference. The caller supplies a transcript string and its source. The one exception is Deep Agents, whose sessions reads from its local LangGraph SQLite store by thread ID; see .
| Stars | 263 |
| Forks | 24 |
| Language | TypeScript |
| Category | Codex Skill |
| License | Apache-2.0 |
| Quality Score | 38.25/100 |
| Open Issues | 10 |
| Last Updated | 2026-09-25 |
| Created | 2026-07-10 |
| Platforms | claude-code, codex, node |
| Est. Tokens | ~38k |
These tools work well together with trajectory for enhanced workflows:
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trajectory is Convert sessions across harnesses to a unified trajectory format - designed to be consumed by agents (e.g. for memory formation, dreaming, search). It is categorized as a Codex Skill with 263 GitHub stars.
trajectory is primarily written in TypeScript. It covers topics such as agent-harness, agent-memory, claude-code.
You can find installation instructions and usage details in the trajectory GitHub repository at github.com/letta-ai/trajectory. The project has 263 stars and 24 forks, indicating an active community.
trajectory is released under the Apache-2.0 license, making it free to use and modify according to the license terms.