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Roadmap

TinyAgents is at v1.5.0. The roadmap favors small, well-tested modules that build toward a production-grade Rust agent runtime.

Shipped Foundation

  • typed harness model calls, tools, middleware, structured output, streaming, usage/cost tracking, retry/limits, cache, memory/embeddings, sub-agents, and steering (harness/)
  • durable typed state graph runtime: START/END, nodes, conditional routing, Commands, fan-out, reducers/channels, checkpoints, interrupts, subgraphs, streaming, and topology export (graph/)
  • per-thread ThreadGoal and TaskBoard productivity primitives, exposed as harness tools
  • named capability registry (models, tools, agents, graphs, stores, middleware, policy) bound by name (registry/)
  • the declarative .rag blueprint language: lexer, parser, compiler, and registry-backed binding (language/)
  • the imperative .ragsh REPL language for capability-bound interactive orchestration (repl/)
  • an optional SQLite-backed checkpointer (sqlite feature) and an optional Rhai-backed .ragsh session runtime (repl feature)
  • an embedded Langfuse client and graph exporter for observability

Near-Term Work

  • broaden .rag/.ragsh example coverage for less-common routing and parallel-fanout shapes
  • continue splitting any module or doc that grows past the 500-line limit into focused files
  • expand live (network-gated) provider contract tests as new OpenAI-compatible endpoints are added
  • track and close the internal SDK feature-parity backlog in docs/sdk-gaps.md

Parallel Agents And Sub-Agents

Shipped: forked child contexts, shared caches with explicit isolation policy, child event namespaces, parent/child run ids, deterministic reducer-based merges, optional/blocking/race/quorum/fallback/compare policies, and resumable checkpoints across parallel branches. Ongoing work focuses on hardening edge cases surfaced by the e2e_parallel_* and live_subagent_* test suites.

Stability

The public API is versioned via semver starting at 1.0. Breaking changes are documented in release notes, tested, and shaped by real examples rather than speculative abstraction.